1D Convolution을 기본 구성 요소로 하는 EEG classifier를 학습해보는 노트북.
# for auto-reloading external modules
# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython
%load_ext autoreload
%autoreload 2
# Load some packages
import os
import glob
import json
from copy import deepcopy
import datetime
import matplotlib.pyplot as plt
import pprint
from IPython.display import clear_output
from tqdm.auto import tqdm
import numpy as np
import random
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data import DataLoader
from torchvision import transforms
from typing import Type, Any, Callable, Union, List, Optional
# custom package
from utils.eeg_dataset import *
# Other settings
%matplotlib inline
%config InlineBackend.figure_format = 'retina' # cleaner text
plt.style.use('default')
# ['Solarize_Light2', '_classic_test_patch', 'bmh', 'classic', 'dark_background', 'fast',
# 'fivethirtyeight', 'ggplot', 'grayscale', 'seaborn', 'seaborn-bright', 'seaborn-colorblind',
# 'seaborn-dark', 'seaborn-dark-palette', 'seaborn-darkgrid', 'seaborn-deep', 'seaborn-muted',
# 'seaborn-notebook', 'seaborn-paper', 'seaborn-pastel', 'seaborn-poster', 'seaborn-talk',
# 'seaborn-ticks', 'seaborn-white', 'seaborn-whitegrid', 'tableau-colorblind10']
plt.rcParams['image.interpolation'] = 'nearest'
plt.rcParams["font.family"] = 'NanumGothic' # for Hangul in Windows
print('PyTorch version:', torch.__version__)
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
if torch.cuda.is_available(): print('cuda is available.')
else: print('cuda is unavailable.')
PyTorch version: 1.7.1 cuda is available.
# Data file path
root_path = r'dataset/02_Curated_Data/'
# Checkpoint
save_checkpoint = True
meta_path = os.path.join(root_path, 'metadata_debug.json')
with open(meta_path, 'r') as json_file:
metadata = json.load(json_file)
pprint.pprint(metadata[0])
{'age': 78,
'birth': '1940-06-02',
'dx1': 'mci_rf',
'edfname': '00001809_261018',
'events': [[0, 'Start Recording'],
[0, 'New Montage - Montage 002'],
[36396, 'Eyes Open'],
[72518, 'Eyes Closed'],
[73862, 'Eyes Open'],
[75248, 'Eyes Closed'],
[76728, 'swallowing'],
[77978, 'Eyes Open'],
[79406, 'Eyes Closed'],
[79996, 'Photic On - 3.0 Hz'],
[80288, 'Eyes Open'],
[81296, 'Eyes Closed'],
[82054, 'Photic Off'],
[84070, 'Photic On - 6.0 Hz'],
[84488, 'Eyes Open'],
[85538, 'Eyes Closed'],
[86086, 'Photic Off'],
[88144, 'Photic On - 9.0 Hz'],
[90160, 'Photic Off'],
[91458, 'Eyes Open'],
[92218, 'Photic On - 12.0 Hz'],
[92762, 'Eyes Closed'],
[94198, 'Photic Off'],
[94742, 'Eyes Open'],
[95708, 'Eyes Closed'],
[96256, 'Photic On - 15.0 Hz'],
[98272, 'Photic Off'],
[100330, 'Photic On - 18.0 Hz'],
[102346, 'Photic Off'],
[102596, 'Eyes Open'],
[103856, 'Eyes Closed'],
[104361, 'Photic On - 21.0 Hz'],
[106420, 'Photic Off'],
[106880, 'Eyes Open'],
[107804, 'Eyes Closed'],
[108435, 'Photic On - 24.0 Hz'],
[110452, 'Photic Off'],
[111080, 'Eyes Open'],
[112004, 'Eyes Closed'],
[112509, 'Photic On - 27.0 Hz'],
[114528, 'Photic Off'],
[114864, 'Eyes Open'],
[116124, 'Eyes Closed'],
[116544, 'Photic On - 30.0 Hz'],
[118602, 'Photic Off'],
[126672, 'artifact'],
[134030, 'Move'],
[135584, 'Eyes Open'],
[136668, 'Eyes Closed'],
[139818, 'Eyes Open'],
[141414, 'Eyes Closed'],
[145000, 'Paused']],
'label': ['mci', 'mci_amnestic', 'mci_amnestic_rf'],
'record': '2018-10-26T15:46:26',
'serial': '00001'}
diagnosis_filter = [
# Normal
{'type': 'Normal',
'include': ['normal'],
'exclude': []},
# Non-vascular MCI
{'type': 'Non-vascular MCI',
'include': ['mci'],
'exclude': ['mci_vascular']},
# Non-vascular dementia
{'type': 'Non-vascular dementia',
'include': ['dementia'],
'exclude': ['vd']},
]
def generate_class_label(label):
for c, f in enumerate(diagnosis_filter):
inc = set(f['include']) & set(label) == set(f['include'])
# inc = len(set(f['include']) & set(label)) > 0
exc = len(set(f['exclude']) & set(label)) == 0
if inc and exc:
return (c, f['type'])
return (-1, 'The others')
class_label_to_type = [d_f['type'] for d_f in diagnosis_filter]
print('class_label_to_type:', class_label_to_type)
class_label_to_type: ['Normal', 'Non-vascular MCI', 'Non-vascular dementia']
splitted_metadata = [[] for i in diagnosis_filter]
for m in metadata:
c, n = generate_class_label(m['label'])
if c >= 0:
m['class_type'] = n
m['class_label'] = c
splitted_metadata[c].append(m)
for i, split in enumerate(splitted_metadata):
if len(split) == 0:
print(f'(Warning) Split group {i} has no data.')
else:
print(f'- There are {len(split):} data belonging to {split[0]["class_type"]}')
- There are 463 data belonging to Normal - There are 347 data belonging to Non-vascular MCI - There are 229 data belonging to Non-vascular dementia
# random seed
random.seed(0)
# Train : Val : Test = 8 : 1 : 1
ratio1 = 0.8
ratio2 = 0.1
metadata_train = []
metadata_val = []
metadata_test = []
for split in splitted_metadata:
random.shuffle(split)
n1 = round(len(split) * ratio1)
n2 = n1 + round(len(split) * ratio2)
metadata_train.extend(split[:n1])
metadata_val.extend(split[n1:n2])
metadata_test.extend(split[n2:])
random.shuffle(metadata_train)
random.shuffle(metadata_val)
random.shuffle(metadata_test)
print('Train data size\t\t:', len(metadata_train))
print('Validation data size\t:', len(metadata_val))
print('Test data size\t\t:', len(metadata_test))
print('\n', '--- Recheck ---', '\n')
train_class_nums = np.zeros((len(class_label_to_type)), dtype=np.int32)
for m in metadata_train:
train_class_nums[m['class_label']] += 1
val_class_nums = np.zeros((len(class_label_to_type)), dtype=np.int32)
for m in metadata_val:
val_class_nums[m['class_label']] += 1
test_class_nums = np.zeros((len(class_label_to_type)), dtype=np.int32)
for m in metadata_test:
test_class_nums[m['class_label']] += 1
print('Train data label distribution\t:', train_class_nums, train_class_nums.sum())
print('Val data label distribution\t:', val_class_nums, val_class_nums.sum())
print('Test data label distribution\t:', test_class_nums, test_class_nums.sum())
# random seed
random.seed()
# print([m['serial'] for m in metadata_train[:15]])
# print([m['serial'] for m in metadata_val[:15]])
# print([m['serial'] for m in metadata_test[:15]])
Train data size : 831 Validation data size : 104 Test data size : 104 --- Recheck --- Train data label distribution : [370 278 183] 831 Val data label distribution : [46 35 23] 104 Test data label distribution : [47 34 23] 104
ages = []
for m in metadata_train:
ages.append(m['age'])
ages = np.array(ages)
age_mean = np.mean(ages)
age_std = np.std(ages)
print('Age mean and standard deviation:')
print(age_mean, age_std)
Age mean and standard deviation: 69.92779783393502 9.817569889945597
composed = transforms.Compose([EEGNormalizeAge(mean=age_mean, std=age_std),
EEGDropPhoticChannel(),
EEGRandomCrop(crop_length=200*10), # 10 sec
EEGNormalizePerSignal(),
EEGToTensor()])
train_dataset = EEGDataset(root_path, metadata_train, composed)
val_dataset = EEGDataset(root_path, metadata_val, composed)
test_dataset = EEGDataset(root_path, metadata_test, composed)
print(train_dataset[0]['signal'].shape)
print(train_dataset[0])
print()
print('-' * 100)
print()
print(val_dataset[0]['signal'].shape)
print(val_dataset[0])
print()
print('-' * 100)
print()
print(test_dataset[0]['signal'].shape)
print(test_dataset[0])
torch.Size([20, 2000])
{'signal': tensor([[ 1.2711, 1.2566, 1.1840, ..., 2.2436, 2.0985, 2.1420],
[ 1.6039, 1.6488, 1.9183, ..., 2.0980, 2.1878, 2.1429],
[ 1.6467, 1.7892, 1.8960, ..., 0.7205, 0.7561, 0.7205],
...,
[-0.2076, 0.1183, 0.1183, ..., 0.4441, 0.7700, 0.9329],
[-0.3122, -0.0156, -0.1145, ..., -1.1030, -0.9053, -0.8064],
[-0.0779, -0.0984, -0.0984, ..., -0.1945, -0.2906, -0.2837]]), 'age': tensor(-1.2149), 'class_label': tensor(0), 'metadata': {'serial': '01012', 'edfname': '01212635_270515', 'birth': '1956-06-01', 'record': '2015-05-27T09:37:24', 'age': 58, 'dx1': 'cb_normal', 'label': ['normal', 'cb_normal'], 'events': [[0, 'Start Recording'], [0, 'New Montage - Montage 002'], [400, 'Eyes Open'], [7918, 'Eyes Closed'], [14091, 'Eyes Open'], [18208, 'Eyes Closed'], [24256, 'Eyes Open'], [30724, 'Eyes Closed'], [36562, 'Eyes Open'], [42190, 'Eyes Closed'], [48910, 'Eyes Open'], [55126, 'Eyes Closed'], [60417, 'Eyes Open'], [66004, 'Eyes Closed'], [71968, 'Eyes Open'], [78310, 'Eyes Closed'], [84442, 'Eyes Open'], [90070, 'Eyes Closed'], [96076, 'Eyes Open'], [102082, 'Eyes Closed'], [108844, 'Eyes Open'], [113674, 'Eyes Closed'], [120000, 'Paused']], 'class_type': 'Normal', 'class_label': 0}}
----------------------------------------------------------------------------------------------------
torch.Size([20, 2000])
{'signal': tensor([[ 1.8952, 1.7784, 1.6226, ..., 1.1943, 1.2722, 1.1943],
[ 0.9711, 0.9711, 0.7952, ..., 0.2675, 0.1796, 0.1796],
[-1.0316, -1.6382, -1.8404, ..., -0.4250, -0.6272, -0.8294],
...,
[ 0.9431, 0.4196, -0.2783, ..., -2.0231, -1.8486, -1.6742],
[-0.5430, -0.5430, -0.3342, ..., -1.7955, -2.2131, -2.4218],
[-0.2242, -0.1925, -0.1134, ..., 0.2348, 0.1319, 0.1003]]), 'age': tensor(0.7204), 'class_label': tensor(1), 'metadata': {'serial': '00700', 'edfname': '00985401_011117', 'birth': '1940-09-09', 'record': '2017-11-01T14:20:48', 'age': 77, 'dx1': 'mci amnestic', 'label': ['mci', 'mci_amnestic'], 'events': [[0, 'Start Recording'], [0, 'New Montage - Montage 002'], [1705, 'Eyes Open'], [5402, 'Eyes Closed'], [13046, 'Eyes Open'], [17666, 'Eyes Closed'], [30308, 'Eyes Closed'], [36272, 'Eyes Open'], [41774, 'Eyes Closed'], [48958, 'Eyes Open'], [55510, 'Eyes Closed'], [61641, 'Eyes Open'], [66766, 'Eyes Closed'], [72730, 'Eyes Open'], [78988, 'Eyes Closed'], [87770, 'Eyes Open'], [90542, 'Eyes Closed'], [97096, 'Eyes Open'], [102178, 'Eyes Closed'], [110872, 'Eyes Open'], [113728, 'Eyes Closed'], [122052, 'Photic On - 3.0 Hz'], [122428, 'Eyes Open'], [123309, 'Eyes Closed'], [124068, 'Photic Off'], [126126, 'Photic On - 6.0 Hz'], [128142, 'Photic Off'], [130158, 'Photic On - 9.0 Hz'], [132216, 'Photic Off'], [132718, 'Eyes Open'], [133600, 'Eyes Closed'], [134232, 'Photic On - 12.0 Hz'], [136248, 'Photic Off'], [138306, 'Photic On - 15.0 Hz'], [140322, 'Photic Off'], [142380, 'Photic On - 18.0 Hz'], [142630, 'Eyes Open'], [143302, 'Eyes Closed'], [144396, 'Photic Off'], [146412, 'Photic On - 21.0 Hz'], [148428, 'Photic Off'], [150486, 'Photic On - 24.0 Hz'], [152502, 'Photic Off'], [152710, 'Eyes Open'], [153550, 'Eyes Closed'], [154560, 'Photic On - 27.0 Hz'], [156576, 'Photic Off'], [158592, 'Photic On - 30.0 Hz'], [160608, 'Photic Off'], [160942, 'Eyes Open'], [161698, 'Eyes Closed'], [169132, 'Eyes Open'], [170098, 'Eyes Closed'], [173600, 'Paused']], 'class_type': 'Non-vascular MCI', 'class_label': 1}}
----------------------------------------------------------------------------------------------------
torch.Size([20, 2000])
{'signal': tensor([[-0.3999, -0.3706, -0.3706, ..., 0.2739, 0.2739, 0.2446],
[-0.0862, 0.0803, 0.2468, ..., -1.4180, -1.4180, -1.2515],
[ 0.8143, 1.1290, 1.1290, ..., 0.8143, 1.1290, 1.4438],
...,
[ 0.0356, 0.0356, 0.2945, ..., 0.5534, 0.8123, 0.8123],
[-0.1610, -0.4694, -0.4694, ..., 1.6894, 1.9978, 1.9978],
[-0.1613, -0.0769, 0.0751, ..., 0.4974, 0.4467, 0.6156]]), 'age': tensor(1.0259), 'class_label': tensor(0), 'metadata': {'serial': '00299', 'edfname': '00671212_160819', 'birth': '1938-08-17', 'record': '2019-08-16T10:57:03', 'age': 80, 'dx1': 'smi', 'label': ['normal', 'smi'], 'events': [[0, 'Start Recording'], [0, 'New Montage - Montage 005'], [1773, 'Eyes Closed'], [6000, 'Cz check'], [7612, 'Eyes Open'], [12912, 'Eyes Closed'], [18078, 'Eyes Open'], [23958, 'Eyes Closed'], [29288, 'Eyes Open'], [35934, 'Eyes Closed'], [41856, 'Eyes Open'], [47862, 'Eyes Closed'], [54460, 'Eyes Open'], [59962, 'Eyes Closed'], [66178, 'Eyes Open'], [71008, 'Eyes Closed'], [73948, 'Photic On - 3.0 Hz'], [74158, 'Eyes Open'], [75166, 'Eyes Closed'], [75964, 'Photic Off'], [77980, 'Photic On - 6.0 Hz'], [78358, 'Eyes Open'], [79282, 'Eyes Closed'], [80038, 'Photic Off'], [82054, 'Photic On - 9.0 Hz'], [84070, 'Photic Off'], [86128, 'Photic On - 12.0 Hz'], [87640, 'Eyes Open'], [88144, 'Photic Off'], [88396, 'Eyes Closed'], [90202, 'Photic On - 15.0 Hz'], [92218, 'Photic Off'], [92722, 'Eyes Open'], [93772, 'Eyes Closed'], [94234, 'Photic On - 18.0 Hz'], [96250, 'Photic Off'], [98308, 'Photic On - 21.0 Hz'], [100324, 'Photic Off'], [102382, 'Photic On - 24.0 Hz'], [104398, 'Photic Off'], [106414, 'Photic On - 27.0 Hz'], [108430, 'Photic Off'], [110488, 'Photic On - 30.0 Hz'], [111580, 'Eyes Open'], [111790, 'Photic Off'], [112420, 'Eyes Closed'], [113200, 'Paused']], 'class_type': 'Normal', 'class_label': 0}}
print('Current PyTorch device:', device)
if device.type == 'cuda':
num_workers = 0 # A number other than 0 causes an error
pin_memory = True
else:
num_workers = 0
pin_memory = False
train_loader = DataLoader(train_dataset,
batch_size=32,
shuffle=True,
drop_last=True,
num_workers=num_workers,
pin_memory=pin_memory,
collate_fn=eeg_collate_fn)
for i_batch, sample_batched in enumerate(train_loader):
sample_batched['signal'].to(device)
sample_batched['age'].to(device)
sample_batched['class_label'].to(device)
print(i_batch,
sample_batched['signal'].shape,
sample_batched['age'].shape,
sample_batched['class_label'].shape,
len(sample_batched['metadata']))
if i_batch > 3:
break
train_loader = DataLoader(train_dataset,
batch_size=32,
shuffle=True,
drop_last=True,
num_workers=num_workers,
pin_memory=pin_memory,
collate_fn=eeg_collate_fn)
val_loader = DataLoader(val_dataset,
batch_size=32,
shuffle=False,
drop_last=False,
num_workers=num_workers,
pin_memory=pin_memory,
collate_fn=eeg_collate_fn)
test_loader = DataLoader(test_dataset,
batch_size=32,
shuffle=False,
drop_last=False,
num_workers=num_workers,
pin_memory=pin_memory,
collate_fn=eeg_collate_fn)
from torch.utils.tensorboard import SummaryWriter
import ipynbname
nb_fname = ipynbname.name()
def count_parameters(model):
return sum(p.numel() for p in model.parameters() if p.requires_grad)
def visualize_network_tensorboard(model, name):
# default `log_dir` is "runs" - we'll be more specific here
writer = SummaryWriter('runs/' + nb_fname + '_' + name)
for batch_i, sample_batched in enumerate(train_loader):
# pull up the batch data
x = sample_batched['signal'].to(device)
age = sample_batched['age'].to(device)
target = sample_batched['class_label'].to(device)
# apply model on whole batch directly on device
writer.add_graph(model, (x, age))
output = model(x, age, print_shape=True)
break
writer.close()
def train_one_epoch(model, optimizer, log_interval):
# turn the models to training mode
model.train()
losses = []
correct, total = (0, 0)
C = len(class_label_to_type)
train_confusion = np.zeros((C, C), dtype=np.int32)
for batch_i, sample_batched in enumerate(train_loader):
# pull up the batch data
x = sample_batched['signal'].to(device)
age = sample_batched['age'].to(device)
target = sample_batched['class_label'].to(device)
# apply model on whole batch directly on device
output = model(x, age)
# negative log-likelihood for a tensor of size (batch x n_output)
pred = F.log_softmax(output, dim=1)
loss = F.nll_loss(pred, target)
# backprop and update
loss.backward()
optimizer.step()
optimizer.zero_grad()
# record loss
losses.append(loss.item())
# train accuracy
pred = pred.argmax(dim=-1)
correct += pred.squeeze().eq(target).sum().item()
total += pred.shape[0]
# confusion matrix
train_confusion += calculate_confusion_matrix(pred, target)
# print training stats
if log_interval is not None and (batch_i + 1) % log_interval == 0:
print(f'- Iter {batch_i + 1:03d} / {len(train_loader):03d}, Loss: {loss.item():.06f}')
train_accuracy = 100.0 * correct / total
return (losses, train_accuracy, train_confusion)
def check_val_accuracy(model, repeat=1):
model.eval()
correct, total = (0, 0)
C = len(class_label_to_type)
val_confusion = np.zeros((C, C), dtype=np.int32)
for k in range(repeat):
for sample_batched in val_loader:
# pull up the data
x = sample_batched['signal'].to(device)
age = sample_batched['age'].to(device)
target = sample_batched['class_label'].to(device)
# apply model on whole batch directly on device
output = model(x, age)
pred = F.log_softmax(output, dim=1)
# val accuracy
pred = pred.argmax(dim=-1)
correct += pred.squeeze().eq(target).sum().item()
total += pred.shape[0]
# confusion matrix
val_confusion += calculate_confusion_matrix(pred, target)
val_accuracy = 100.0 * correct / total
return (val_accuracy, val_confusion)
def check_test_accuracy(model, repeat=1):
model.eval()
correct, total = (0, 0)
C = len(class_label_to_type)
test_confusion = np.zeros((C, C), dtype=np.int32)
test_debug = {data['metadata']['serial']:
{'GT': data['class_label'].item(),
'Acc': 0,
'Pred': [0] * C} for data in test_dataset}
for k in range(repeat):
for sample_batched in test_loader:
# pull up the data
x = sample_batched['signal'].to(device)
age = sample_batched['age'].to(device)
target = sample_batched['class_label'].to(device)
# apply model on whole batch directly on device
output = model(x, age)
pred = F.log_softmax(output, dim=1)
# test accuracy
pred = pred.argmax(dim=-1)
correct += pred.squeeze().eq(target).sum().item()
total += pred.shape[0]
# confusion matrix
test_confusion += calculate_confusion_matrix(pred, target)
# test debug
for n in range(pred.shape[0]):
serial = sample_batched['metadata'][n]['serial']
test_debug[serial]['edfname'] = sample_batched['metadata'][n]['edfname']
test_debug[serial]['Pred'][pred[n].item()] += 1
acc = test_debug[serial]['Pred'][target[n].item()] / np.sum(test_debug[serial]['Pred']) * 100
test_debug[serial]['Acc'] = f'{acc:>6.02f}%'
test_accuracy = 100.0 * correct / total
return (test_accuracy, test_confusion, test_debug)
def calculate_confusion_matrix(pred, target):
N = target.shape[0]
C = len(class_label_to_type)
confusion = np.zeros((C, C), dtype=np.int32)
for i in range(N):
r = target[i]
c = pred[i]
confusion[r, c] += 1
return confusion
def draw_loss_plot(loss_history):
plt.style.use('default') # default, ggplot, fivethirtyeight, classic
fig = plt.figure(num=1, clear=True, figsize=(15.0, 6.0), constrained_layout=True)
ax = fig.add_subplot(1, 1, 1)
ax.plot(loss_history)
ax.vlines(0, 0, 1, transform=ax.get_xaxis_transform(), colors='k', alpha=0.1)
for e in range(1, n_epoch + 1):
if e % lr_schedule_step == 0:
ax.vlines(e*len(train_loader) - 1, 0, 1, transform=ax.get_xaxis_transform(), colors='m', alpha=0.3)
else:
ax.vlines(e*len(train_loader) - 1, 0, 1, transform=ax.get_xaxis_transform(), colors='k', alpha=0.1)
ax.set_title('Loss Plot')
ax.set_xlabel('Iteration')
ax.set_ylabel('Training Loss')
plt.show()
fig.clear()
plt.close(fig)
def draw_accuracy_history(train_acc_history, val_acc_history):
plt.style.use('default') # default, ggplot, fivethirtyeight, classic
fig = plt.figure(num=1, clear=True, figsize=(15.0, 6.0), constrained_layout=True)
ax = fig.add_subplot(1, 1, 1)
ax.plot(train_acc_history, 'r-', label='Train accuracy')
ax.plot(val_acc_history, 'b-', label='Validation accuracy')
ax.legend(loc='lower right')
ax.set_title('Accuracy Plot during Training')
ax.set_xlabel('Epoch')
ax.set_ylabel('Accuracy (%)')
plt.show()
fig.clear()
plt.close(fig)
def draw_confusion(confusion):
C = len(class_label_to_type)
plt.style.use('default') # default, ggplot, fivethirtyeight, classic
plt.rcParams['image.cmap'] = 'jet' # 'nipy_spectral'
fig = plt.figure(num=1, clear=True, figsize=(5.0, 5.0), constrained_layout=True)
ax = fig.add_subplot(1, 1, 1)
im = ax.imshow(confusion, alpha=0.8)
ax.set_xticks(np.arange(C))
ax.set_yticks(np.arange(C))
ax.set_xticklabels(class_label_to_type)
ax.set_yticklabels(class_label_to_type)
for r in range(C):
for c in range(C):
text = ax.text(c, r, confusion[r, c],
ha="center", va="center", color='k')
ax.set_title('Confusion Matrix')
ax.set_xlabel('Prediction')
ax.set_ylabel('Ground Truth')
plt.setp(ax.get_xticklabels(), rotation=45, ha="right", rotation_mode="anchor")
plt.show()
fig.clear()
plt.close(fig)
def learning_rate_search(model, min_log_lr, max_log_lr, trials, epochs):
learning_rate_record = []
for t in tqdm(range(trials)):
log_lr = np.random.uniform(min_log_lr, max_log_lr)
lr = 10 ** log_lr
model.reset_weights()
optimizer = optim.AdamW(model.parameters(), lr=lr, weight_decay=0.0001)
for e in range(epochs):
_, train_accuracy, _ = train_one_epoch(model, optimizer, log_interval=None)
# Train accuracy for the final epoch is stored
learning_rate_record.append((log_lr, train_accuracy))
return learning_rate_record
def draw_learning_rate_record(learning_rate_record):
plt.style.use('default') # default, ggplot, fivethirtyeight, classic
fig = plt.figure(num=1, clear=True, figsize=(8.0, 8.0), constrained_layout=True)
ax = fig.add_subplot(1, 1, 1)
ax.set_title('Learning Rate Search')
ax.set_xlabel('Learning rate in log-scale')
ax.set_ylabel('Train accuracy')
for log_lr, val_accuracy in learning_rate_record:
ax.scatter(log_lr, val_accuracy, c='r',
alpha=0.5, edgecolors='none')
plt.show()
fig.clear()
plt.close(fig)
class TinyNet(nn.Module):
def __init__(self, n_input=20, n_output=3, stride=7, n_channel=64,
use_age=True, final_pool='average'):
super().__init__()
if final_pool not in {'average', 'max'}:
raise ValueError("final_pool must be set to one of ['average', 'max']")
self.use_age = use_age
self.conv1 = nn.Conv1d(n_input, n_channel, kernel_size=35, stride=stride)
self.bn1 = nn.BatchNorm1d(n_channel)
self.pool1 = nn.MaxPool1d(4)
self.conv2 = nn.Conv1d(n_channel, n_channel, kernel_size=7)
self.bn2 = nn.BatchNorm1d(n_channel)
self.pool2 = nn.MaxPool1d(2)
if final_pool == 'average':
self.final_pool = nn.AdaptiveAvgPool1d(1)
elif final_pool == 'max':
self.final_pool = nn.AdaptiveMaxPool1d(1)
if self.use_age:
self.fc1 = nn.Linear(n_channel + 1, n_channel)
else:
self.fc1 = nn.Linear(n_channel, n_channel)
self.dropout = nn.Dropout(p=0.3)
self.bnfc1 = nn.BatchNorm1d(n_channel)
self.fc2 = nn.Linear(n_channel, n_output)
def reset_weights(self):
for m in self.modules():
if hasattr(m, 'reset_parameters'):
m.reset_parameters()
def forward(self, x, age, print_shape=False):
# conv-bn-relu-pool
x = self.conv1(x)
x = F.relu(self.bn1(x))
x = self.pool1(x)
x = self.conv2(x)
x = F.relu(self.bn2(x))
x = self.pool2(x)
if print_shape:
print('Shape right before squeezing:', x.shape)
x = self.final_pool(x).squeeze()
if self.use_age:
x = torch.cat((x, age.reshape(-1, 1)), dim=1)
# fc-bn-dropout-relu-fc
x = self.fc1(x)
x = self.bnfc1(x)
x = self.dropout(x)
x = F.relu(x)
x = self.fc2(x)
return x
# return F.log_softmax(x, dim=1)
model = TinyNet(n_input=train_dataset[0]['signal'].shape[0],
n_output=3,
use_age=True,
final_pool='max')
model = model.to(device, dtype=torch.float32)
print(model)
print()
# tensorboard visualization
visualize_network_tensorboard(model, 'TinyNet')
# number of parameters
n = count_parameters(model)
print(f'The Number of parameters of the model: {n:,}')
TinyNet( (conv1): Conv1d(20, 64, kernel_size=(35,), stride=(7,)) (bn1): BatchNorm1d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (pool1): MaxPool1d(kernel_size=4, stride=4, padding=0, dilation=1, ceil_mode=False) (conv2): Conv1d(64, 64, kernel_size=(7,), stride=(1,)) (bn2): BatchNorm1d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (pool2): MaxPool1d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) (final_pool): AdaptiveMaxPool1d(output_size=1) (fc1): Linear(in_features=65, out_features=64, bias=True) (dropout): Dropout(p=0.3, inplace=False) (bnfc1): BatchNorm1d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Linear(in_features=64, out_features=3, bias=True) ) Shape right before squeezing: torch.Size([32, 64, 32]) The Number of parameters of the model: 78,403
# record = learning_rate_search(model,
# min_log_lr=-4.5,
# max_log_lr=-1.4,
# trials=300,
# epochs=1)
# draw_learning_rate_record(record)
# best_log_lr = record[np.argmax(np.array([v for lr, v in record]))][0]
best_log_lr = -2.0
print('best_log_lr:', best_log_lr)
best_log_lr: -2.0
# reduce the learning after [lr_schedule_step] epochs by a factor of 10
n_epoch = 2000
lr_schedule_step = 600
log_interval = len(train_loader) // 2
loss_history = []
train_acc_history = []
val_acc_history = []
best_val_acc = 0
model.reset_weights()
optimizer = optim.AdamW(model.parameters(), lr=10 ** best_log_lr, weight_decay=0.0001)
scheduler = optim.lr_scheduler.StepLR(optimizer, step_size=lr_schedule_step, gamma=0.1)
print(f'{"*"*40} Training Starts {"*"*40}')
for epoch in tqdm(range(1, n_epoch + 1)):
print(f'{"-"*30} Epoch {epoch:03d} / {n_epoch:03d}, Learning rate: {optimizer.param_groups[-1]["lr"]:.2e} {"-"*30}')
# train
loss, train_accuracy, train_confusion = train_one_epoch(model, optimizer, log_interval)
loss_history.extend(loss)
train_acc_history.append(train_accuracy)
# validation
val_accuracy, val_confusion = check_val_accuracy(model, repeat=5)
val_acc_history.append(val_accuracy)
if best_val_acc < val_accuracy:
best_val_acc = val_accuracy
best_model_state = deepcopy(model.state_dict())
# learning rate schedule
scheduler.step()
print()
print(f'* Train accuracy / confusion: {train_accuracy:.2f}% / {train_confusion.tolist()}, ')
print(f'* Val accuracy / confusion: {val_accuracy:.2f}% / {val_confusion.tolist()}')
print()
print(f'{"*"*40} Training Ends {"*"*40}')
# draw the training loss plot
draw_loss_plot(loss_history)
draw_accuracy_history(train_acc_history, val_acc_history)
# test the last model
last_model_state = deepcopy(model.state_dict())
last_test_accuracy, last_test_confusion, last_test_debug = check_test_accuracy(model, repeat=30)
print(f'- Test accuracy (last model): {last_test_accuracy:.2f}%')
print('- Confusion matrix (last model):\n', last_test_confusion)
print()
draw_confusion(last_test_confusion)
# test the best model
model.load_state_dict(best_model_state)
best_test_accuracy, best_test_confusion, best_test_debug = check_test_accuracy(model, repeat=30)
print(f'- Test accuracy (best model): {best_test_accuracy:.2f}%')
print('- Confusion matrix (best model):\n', best_test_confusion)
print()
draw_confusion(best_test_confusion)
**************************************** Training Starts ****************************************
------------------------------ Epoch 001 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.219270 - Iter 024 / 025, Loss: 0.994155 * Train accuracy / confusion: 42.00% / [[214, 108, 32], [139, 98, 35], [70, 80, 24]], * Val accuracy / confusion: 49.62% / [[158, 72, 0], [75, 100, 0], [49, 66, 0]] ------------------------------ Epoch 002 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.914796 - Iter 024 / 025, Loss: 0.956661 * Train accuracy / confusion: 48.00% / [[273, 60, 23], [156, 70, 40], [81, 56, 41]], * Val accuracy / confusion: 51.54% / [[172, 43, 15], [61, 75, 39], [54, 40, 21]] ------------------------------ Epoch 003 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.083490 - Iter 024 / 025, Loss: 0.821440 * Train accuracy / confusion: 51.88% / [[268, 81, 13], [118, 118, 30], [56, 87, 29]], * Val accuracy / confusion: 50.96% / [[187, 41, 2], [88, 74, 13], [56, 55, 4]] ------------------------------ Epoch 004 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.173130 - Iter 024 / 025, Loss: 0.954328 * Train accuracy / confusion: 50.38% / [[258, 80, 16], [114, 111, 41], [60, 86, 34]], * Val accuracy / confusion: 50.77% / [[165, 34, 31], [48, 48, 79], [35, 29, 51]] ------------------------------ Epoch 005 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.175453 - Iter 024 / 025, Loss: 0.931640 * Train accuracy / confusion: 51.88% / [[270, 71, 15], [112, 104, 49], [58, 80, 41]], * Val accuracy / confusion: 39.81% / [[103, 22, 105], [18, 17, 140], [8, 20, 87]] ------------------------------ Epoch 006 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.907668 - Iter 024 / 025, Loss: 1.006900 * Train accuracy / confusion: 53.00% / [[261, 78, 15], [118, 119, 34], [57, 74, 44]], * Val accuracy / confusion: 54.42% / [[180, 30, 20], [58, 64, 53], [38, 38, 39]] ------------------------------ Epoch 007 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.001701 - Iter 024 / 025, Loss: 0.919635 * Train accuracy / confusion: 49.38% / [[247, 79, 31], [117, 84, 66], [57, 55, 64]], * Val accuracy / confusion: 56.54% / [[149, 73, 8], [28, 132, 15], [24, 78, 13]] ------------------------------ Epoch 008 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.999808 - Iter 024 / 025, Loss: 0.900258 * Train accuracy / confusion: 53.12% / [[270, 77, 11], [116, 124, 28], [54, 89, 31]], * Val accuracy / confusion: 53.27% / [[194, 28, 8], [85, 62, 28], [59, 35, 21]] ------------------------------ Epoch 009 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.990575 - Iter 024 / 025, Loss: 0.941683 * Train accuracy / confusion: 52.50% / [[282, 59, 17], [126, 88, 55], [64, 59, 50]], * Val accuracy / confusion: 55.00% / [[152, 72, 6], [35, 103, 37], [18, 66, 31]] ------------------------------ Epoch 010 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.940686 - Iter 024 / 025, Loss: 0.949164 * Train accuracy / confusion: 51.50% / [[257, 82, 15], [107, 126, 38], [56, 90, 29]], * Val accuracy / confusion: 53.65% / [[173, 29, 28], [55, 53, 67], [31, 31, 53]] ------------------------------ Epoch 011 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.107512 - Iter 024 / 025, Loss: 0.877639 * Train accuracy / confusion: 54.88% / [[286, 57, 15], [123, 96, 43], [70, 53, 57]], * Val accuracy / confusion: 53.85% / [[135, 85, 10], [31, 121, 23], [14, 77, 24]] ------------------------------ Epoch 012 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.828074 - Iter 024 / 025, Loss: 0.978701 * Train accuracy / confusion: 54.88% / [[277, 66, 14], [120, 106, 41], [52, 68, 56]], * Val accuracy / confusion: 56.35% / [[183, 28, 19], [69, 59, 47], [41, 23, 51]] ------------------------------ Epoch 013 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.829240 - Iter 024 / 025, Loss: 1.093009 * Train accuracy / confusion: 53.88% / [[261, 84, 12], [99, 113, 57], [47, 70, 57]], * Val accuracy / confusion: 53.65% / [[187, 34, 9], [73, 77, 25], [45, 55, 15]] ------------------------------ Epoch 014 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.850741 - Iter 024 / 025, Loss: 0.769856 * Train accuracy / confusion: 52.38% / [[274, 74, 9], [115, 117, 34], [49, 100, 28]], * Val accuracy / confusion: 56.73% / [[142, 62, 26], [34, 98, 43], [18, 42, 55]] ------------------------------ Epoch 015 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.862283 - Iter 024 / 025, Loss: 1.139307 * Train accuracy / confusion: 51.50% / [[282, 51, 26], [131, 71, 63], [67, 50, 59]], * Val accuracy / confusion: 55.96% / [[192, 37, 1], [73, 98, 4], [42, 72, 1]] ------------------------------ Epoch 016 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.957908 - Iter 024 / 025, Loss: 0.877026 * Train accuracy / confusion: 56.00% / [[286, 65, 9], [112, 126, 27], [53, 86, 36]], * Val accuracy / confusion: 54.04% / [[182, 29, 19], [61, 59, 55], [42, 33, 40]] ------------------------------ Epoch 017 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.834295 - Iter 024 / 025, Loss: 0.744633 * Train accuracy / confusion: 54.88% / [[264, 77, 15], [106, 116, 46], [43, 74, 59]], * Val accuracy / confusion: 56.92% / [[190, 27, 13], [79, 74, 22], [42, 41, 32]] ------------------------------ Epoch 018 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.369193 - Iter 024 / 025, Loss: 0.857484 * Train accuracy / confusion: 57.12% / [[287, 56, 13], [121, 112, 37], [47, 69, 58]], * Val accuracy / confusion: 54.42% / [[163, 47, 20], [42, 74, 59], [22, 47, 46]] ------------------------------ Epoch 019 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.884950 - Iter 024 / 025, Loss: 0.849868 * Train accuracy / confusion: 55.62% / [[268, 74, 20], [109, 110, 44], [50, 58, 67]], * Val accuracy / confusion: 53.65% / [[178, 45, 7], [70, 91, 14], [36, 69, 10]] ------------------------------ Epoch 020 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.025517 - Iter 024 / 025, Loss: 0.800316 * Train accuracy / confusion: 54.75% / [[284, 55, 18], [125, 94, 45], [46, 73, 60]], * Val accuracy / confusion: 54.04% / [[169, 29, 32], [44, 64, 67], [34, 33, 48]] ------------------------------ Epoch 021 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.874704 - Iter 024 / 025, Loss: 1.020507 * Train accuracy / confusion: 55.50% / [[276, 68, 12], [118, 113, 38], [48, 72, 55]], * Val accuracy / confusion: 58.08% / [[161, 55, 14], [35, 102, 38], [21, 55, 39]] ------------------------------ Epoch 022 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.858054 - Iter 024 / 025, Loss: 0.890685 * Train accuracy / confusion: 56.25% / [[275, 65, 18], [108, 130, 31], [39, 89, 45]], * Val accuracy / confusion: 58.46% / [[180, 37, 13], [59, 75, 41], [24, 42, 49]] ------------------------------ Epoch 023 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.897308 - Iter 024 / 025, Loss: 0.958159 * Train accuracy / confusion: 54.75% / [[257, 80, 14], [95, 133, 42], [44, 87, 48]], * Val accuracy / confusion: 55.58% / [[171, 52, 7], [50, 104, 21], [19, 82, 14]] ------------------------------ Epoch 024 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.797563 - Iter 024 / 025, Loss: 0.908677 * Train accuracy / confusion: 55.75% / [[275, 65, 16], [113, 118, 36], [49, 75, 53]], * Val accuracy / confusion: 57.88% / [[187, 30, 13], [73, 76, 26], [38, 39, 38]] ------------------------------ Epoch 025 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.812351 - Iter 024 / 025, Loss: 0.982640 * Train accuracy / confusion: 55.50% / [[279, 61, 21], [117, 113, 36], [51, 70, 52]], * Val accuracy / confusion: 58.08% / [[165, 39, 26], [50, 78, 47], [24, 32, 59]] ------------------------------ Epoch 026 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.992763 - Iter 024 / 025, Loss: 0.958081 * Train accuracy / confusion: 54.75% / [[274, 69, 10], [113, 122, 36], [51, 83, 42]], * Val accuracy / confusion: 59.04% / [[176, 37, 17], [52, 79, 44], [23, 40, 52]] ------------------------------ Epoch 027 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.877030 - Iter 024 / 025, Loss: 0.902857 * Train accuracy / confusion: 56.00% / [[278, 63, 14], [115, 114, 39], [44, 77, 56]], * Val accuracy / confusion: 54.62% / [[178, 51, 1], [69, 88, 18], [37, 60, 18]] ------------------------------ Epoch 028 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.956209 - Iter 024 / 025, Loss: 0.967460 * Train accuracy / confusion: 56.00% / [[278, 68, 11], [110, 110, 49], [40, 74, 60]], * Val accuracy / confusion: 55.77% / [[190, 37, 3], [78, 89, 8], [36, 68, 11]] ------------------------------ Epoch 029 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.813403 - Iter 024 / 025, Loss: 0.779196 * Train accuracy / confusion: 58.62% / [[275, 64, 13], [108, 136, 27], [36, 83, 58]], * Val accuracy / confusion: 55.38% / [[177, 39, 14], [70, 72, 33], [30, 46, 39]] ------------------------------ Epoch 030 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.752822 - Iter 024 / 025, Loss: 1.136566 * Train accuracy / confusion: 57.50% / [[273, 68, 12], [103, 116, 52], [38, 67, 71]], * Val accuracy / confusion: 56.35% / [[158, 57, 15], [48, 95, 32], [18, 57, 40]] ------------------------------ Epoch 031 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.028784 - Iter 024 / 025, Loss: 0.869572 * Train accuracy / confusion: 57.50% / [[273, 67, 19], [106, 126, 32], [39, 77, 61]], * Val accuracy / confusion: 53.85% / [[172, 35, 23], [68, 52, 55], [29, 30, 56]] ------------------------------ Epoch 032 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.972204 - Iter 024 / 025, Loss: 0.959020 * Train accuracy / confusion: 58.00% / [[288, 58, 14], [117, 111, 44], [36, 67, 65]], * Val accuracy / confusion: 52.50% / [[188, 38, 4], [75, 81, 19], [42, 69, 4]] ------------------------------ Epoch 033 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.967355 - Iter 024 / 025, Loss: 0.878233 * Train accuracy / confusion: 56.38% / [[260, 80, 14], [103, 132, 33], [29, 90, 59]], * Val accuracy / confusion: 58.27% / [[171, 36, 23], [48, 82, 45], [21, 44, 50]] ------------------------------ Epoch 034 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.995814 - Iter 024 / 025, Loss: 1.134684 * Train accuracy / confusion: 58.75% / [[281, 55, 16], [108, 115, 47], [47, 57, 74]], * Val accuracy / confusion: 54.42% / [[186, 35, 9], [70, 73, 32], [36, 55, 24]] ------------------------------ Epoch 035 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.047086 - Iter 024 / 025, Loss: 0.820404 * Train accuracy / confusion: 60.25% / [[270, 72, 11], [100, 146, 25], [34, 76, 66]], * Val accuracy / confusion: 53.85% / [[184, 24, 22], [77, 53, 45], [31, 41, 43]] ------------------------------ Epoch 036 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.681393 - Iter 024 / 025, Loss: 0.870858 * Train accuracy / confusion: 56.12% / [[268, 75, 13], [105, 108, 54], [37, 67, 73]], * Val accuracy / confusion: 55.38% / [[178, 44, 8], [63, 89, 23], [28, 66, 21]] ------------------------------ Epoch 037 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.782110 - Iter 024 / 025, Loss: 0.902049 * Train accuracy / confusion: 55.88% / [[260, 79, 13], [102, 130, 36], [32, 91, 57]], * Val accuracy / confusion: 55.58% / [[156, 25, 49], [50, 55, 70], [26, 11, 78]] ------------------------------ Epoch 038 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.787223 - Iter 024 / 025, Loss: 0.945882 * Train accuracy / confusion: 56.50% / [[276, 67, 15], [114, 110, 43], [41, 68, 66]], * Val accuracy / confusion: 55.19% / [[170, 51, 9], [49, 102, 24], [25, 75, 15]] ------------------------------ Epoch 039 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.895768 - Iter 024 / 025, Loss: 0.855265 * Train accuracy / confusion: 55.25% / [[280, 54, 17], [126, 104, 38], [38, 85, 58]], * Val accuracy / confusion: 56.54% / [[178, 36, 16], [68, 74, 33], [30, 43, 42]] ------------------------------ Epoch 040 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.703238 - Iter 024 / 025, Loss: 1.139926 * Train accuracy / confusion: 59.50% / [[277, 65, 18], [91, 129, 46], [35, 69, 70]], * Val accuracy / confusion: 58.46% / [[172, 44, 14], [55, 100, 20], [18, 65, 32]] ------------------------------ Epoch 041 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.911321 - Iter 024 / 025, Loss: 0.865659 * Train accuracy / confusion: 59.00% / [[267, 74, 15], [104, 133, 33], [35, 67, 72]], * Val accuracy / confusion: 57.69% / [[159, 60, 11], [50, 94, 31], [23, 45, 47]] ------------------------------ Epoch 042 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.919971 - Iter 024 / 025, Loss: 0.742374 * Train accuracy / confusion: 57.12% / [[265, 70, 20], [106, 119, 49], [32, 66, 73]], * Val accuracy / confusion: 56.35% / [[155, 69, 6], [43, 106, 26], [15, 68, 32]] ------------------------------ Epoch 043 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.773091 - Iter 024 / 025, Loss: 0.966909 * Train accuracy / confusion: 59.12% / [[262, 79, 17], [91, 136, 43], [27, 70, 75]], * Val accuracy / confusion: 51.92% / [[146, 66, 18], [37, 94, 44], [13, 72, 30]] ------------------------------ Epoch 044 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.798427 - Iter 024 / 025, Loss: 0.953093 * Train accuracy / confusion: 58.38% / [[264, 79, 12], [101, 141, 29], [35, 77, 62]], * Val accuracy / confusion: 56.54% / [[164, 44, 22], [47, 77, 51], [18, 44, 53]] ------------------------------ Epoch 045 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.923650 - Iter 024 / 025, Loss: 0.846169 * Train accuracy / confusion: 56.88% / [[274, 69, 15], [111, 105, 48], [30, 72, 76]], * Val accuracy / confusion: 57.31% / [[159, 50, 21], [36, 70, 69], [15, 31, 69]] ------------------------------ Epoch 046 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.029163 - Iter 024 / 025, Loss: 1.068752 * Train accuracy / confusion: 59.12% / [[270, 63, 21], [98, 125, 48], [32, 65, 78]], * Val accuracy / confusion: 59.62% / [[178, 50, 2], [45, 108, 22], [18, 73, 24]] ------------------------------ Epoch 047 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.003314 - Iter 024 / 025, Loss: 0.743307 * Train accuracy / confusion: 57.38% / [[269, 69, 19], [98, 131, 36], [26, 93, 59]], * Val accuracy / confusion: 57.31% / [[177, 45, 8], [69, 85, 21], [32, 47, 36]] ------------------------------ Epoch 048 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.739667 - Iter 024 / 025, Loss: 0.804900 * Train accuracy / confusion: 59.38% / [[276, 69, 14], [100, 120, 46], [26, 70, 79]], * Val accuracy / confusion: 57.69% / [[147, 65, 18], [25, 100, 50], [9, 53, 53]] ------------------------------ Epoch 049 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.826485 - Iter 024 / 025, Loss: 0.843063 * Train accuracy / confusion: 61.12% / [[277, 65, 11], [93, 128, 50], [33, 59, 84]], * Val accuracy / confusion: 55.38% / [[159, 64, 7], [49, 96, 30], [19, 63, 33]] ------------------------------ Epoch 050 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.847841 - Iter 024 / 025, Loss: 0.910127 * Train accuracy / confusion: 57.75% / [[270, 71, 12], [95, 131, 43], [24, 93, 61]], * Val accuracy / confusion: 58.46% / [[164, 54, 12], [54, 86, 35], [26, 35, 54]] ------------------------------ Epoch 051 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.972442 - Iter 024 / 025, Loss: 0.912411 * Train accuracy / confusion: 56.88% / [[280, 60, 16], [117, 97, 52], [30, 70, 78]], * Val accuracy / confusion: 54.81% / [[176, 24, 30], [59, 46, 70], [28, 24, 63]] ------------------------------ Epoch 052 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.872879 - Iter 024 / 025, Loss: 0.873691 * Train accuracy / confusion: 54.75% / [[258, 88, 13], [102, 126, 41], [35, 83, 54]], * Val accuracy / confusion: 54.42% / [[193, 36, 1], [94, 74, 7], [43, 56, 16]] ------------------------------ Epoch 053 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.873377 - Iter 024 / 025, Loss: 0.812930 * Train accuracy / confusion: 58.12% / [[280, 62, 14], [110, 116, 44], [36, 69, 69]], * Val accuracy / confusion: 56.35% / [[134, 68, 28], [30, 101, 44], [8, 49, 58]] ------------------------------ Epoch 054 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.060948 - Iter 024 / 025, Loss: 0.939961 * Train accuracy / confusion: 57.00% / [[263, 77, 7], [113, 132, 28], [39, 80, 61]], * Val accuracy / confusion: 54.42% / [[165, 57, 8], [58, 97, 20], [26, 68, 21]] ------------------------------ Epoch 055 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.875865 - Iter 024 / 025, Loss: 0.944116 * Train accuracy / confusion: 57.38% / [[279, 60, 19], [97, 118, 48], [33, 84, 62]], * Val accuracy / confusion: 55.77% / [[174, 37, 19], [63, 58, 54], [25, 32, 58]] ------------------------------ Epoch 056 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.800187 - Iter 024 / 025, Loss: 0.844576 * Train accuracy / confusion: 57.25% / [[274, 66, 18], [114, 113, 41], [35, 68, 71]], * Val accuracy / confusion: 57.12% / [[163, 47, 20], [46, 86, 43], [17, 50, 48]] ------------------------------ Epoch 057 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.097998 - Iter 024 / 025, Loss: 1.130056 * Train accuracy / confusion: 59.25% / [[266, 78, 10], [104, 129, 37], [33, 64, 79]], * Val accuracy / confusion: 57.31% / [[195, 24, 11], [81, 59, 35], [33, 38, 44]] ------------------------------ Epoch 058 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.000406 - Iter 024 / 025, Loss: 0.847925 * Train accuracy / confusion: 59.62% / [[279, 56, 22], [99, 107, 63], [28, 55, 91]], * Val accuracy / confusion: 58.08% / [[155, 58, 17], [43, 106, 26], [11, 63, 41]] ------------------------------ Epoch 059 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.955581 - Iter 024 / 025, Loss: 0.940233 * Train accuracy / confusion: 56.62% / [[265, 74, 19], [106, 117, 43], [32, 73, 71]], * Val accuracy / confusion: 56.35% / [[155, 54, 21], [47, 90, 38], [16, 51, 48]] ------------------------------ Epoch 060 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.942350 - Iter 024 / 025, Loss: 0.941272 * Train accuracy / confusion: 58.25% / [[281, 58, 15], [116, 108, 46], [37, 62, 77]], * Val accuracy / confusion: 55.19% / [[158, 53, 19], [44, 89, 42], [14, 61, 40]] ------------------------------ Epoch 061 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.892704 - Iter 024 / 025, Loss: 0.882859 * Train accuracy / confusion: 58.12% / [[272, 71, 12], [95, 124, 49], [32, 76, 69]], * Val accuracy / confusion: 55.96% / [[176, 51, 3], [60, 103, 12], [25, 78, 12]] ------------------------------ Epoch 062 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.962766 - Iter 024 / 025, Loss: 0.838205 * Train accuracy / confusion: 59.25% / [[269, 75, 17], [89, 132, 42], [27, 76, 73]], * Val accuracy / confusion: 56.15% / [[171, 35, 24], [60, 67, 48], [25, 36, 54]] ------------------------------ Epoch 063 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.883131 - Iter 024 / 025, Loss: 0.904655 * Train accuracy / confusion: 58.12% / [[280, 71, 8], [107, 119, 42], [39, 68, 66]], * Val accuracy / confusion: 58.46% / [[189, 36, 5], [74, 77, 24], [38, 39, 38]] ------------------------------ Epoch 064 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.905417 - Iter 024 / 025, Loss: 0.989932 * Train accuracy / confusion: 59.75% / [[295, 44, 15], [113, 97, 57], [32, 61, 86]], * Val accuracy / confusion: 54.04% / [[125, 57, 48], [23, 85, 67], [9, 35, 71]] ------------------------------ Epoch 065 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.834461 - Iter 024 / 025, Loss: 0.956071 * Train accuracy / confusion: 61.00% / [[267, 68, 20], [84, 146, 40], [21, 79, 75]], * Val accuracy / confusion: 54.62% / [[179, 33, 18], [67, 57, 51], [23, 44, 48]] ------------------------------ Epoch 066 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.736263 - Iter 024 / 025, Loss: 0.990019 * Train accuracy / confusion: 58.50% / [[276, 61, 20], [118, 92, 58], [30, 45, 100]], * Val accuracy / confusion: 60.00% / [[175, 46, 9], [53, 88, 34], [13, 53, 49]] ------------------------------ Epoch 067 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.811678 - Iter 024 / 025, Loss: 0.980877 * Train accuracy / confusion: 59.25% / [[278, 68, 12], [108, 118, 38], [37, 63, 78]], * Val accuracy / confusion: 56.35% / [[179, 41, 10], [64, 74, 37], [30, 45, 40]] ------------------------------ Epoch 068 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.664280 - Iter 024 / 025, Loss: 1.083897 * Train accuracy / confusion: 57.88% / [[270, 72, 15], [108, 124, 35], [31, 76, 69]], * Val accuracy / confusion: 56.54% / [[164, 46, 20], [47, 82, 46], [19, 48, 48]] ------------------------------ Epoch 069 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.999074 - Iter 024 / 025, Loss: 0.963875 * Train accuracy / confusion: 59.75% / [[283, 50, 24], [110, 101, 57], [31, 50, 94]], * Val accuracy / confusion: 55.38% / [[178, 44, 8], [61, 86, 28], [24, 67, 24]] ------------------------------ Epoch 070 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.845398 - Iter 024 / 025, Loss: 0.809331 * Train accuracy / confusion: 60.88% / [[284, 62, 10], [109, 114, 44], [33, 55, 89]], * Val accuracy / confusion: 57.12% / [[158, 45, 27], [45, 74, 56], [16, 34, 65]] ------------------------------ Epoch 071 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.104497 - Iter 024 / 025, Loss: 0.828564 * Train accuracy / confusion: 58.88% / [[264, 77, 14], [95, 133, 43], [32, 68, 74]], * Val accuracy / confusion: 57.69% / [[177, 44, 9], [61, 86, 28], [20, 58, 37]] ------------------------------ Epoch 072 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.772800 - Iter 024 / 025, Loss: 0.798498 * Train accuracy / confusion: 59.75% / [[269, 59, 27], [92, 123, 53], [36, 55, 86]], * Val accuracy / confusion: 57.88% / [[196, 27, 7], [73, 65, 37], [28, 47, 40]] ------------------------------ Epoch 073 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.903490 - Iter 024 / 025, Loss: 1.131724 * Train accuracy / confusion: 60.50% / [[277, 64, 17], [105, 126, 31], [35, 64, 81]], * Val accuracy / confusion: 56.92% / [[159, 59, 12], [54, 83, 38], [17, 44, 54]] ------------------------------ Epoch 074 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.762582 - Iter 024 / 025, Loss: 1.041887 * Train accuracy / confusion: 58.25% / [[273, 62, 20], [110, 112, 46], [32, 64, 81]], * Val accuracy / confusion: 56.92% / [[145, 59, 26], [28, 86, 61], [13, 37, 65]] ------------------------------ Epoch 075 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.792358 - Iter 024 / 025, Loss: 0.805768 * Train accuracy / confusion: 59.88% / [[264, 77, 13], [94, 138, 35], [29, 73, 77]], * Val accuracy / confusion: 59.04% / [[159, 56, 15], [38, 97, 40], [14, 50, 51]] ------------------------------ Epoch 076 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.748427 - Iter 024 / 025, Loss: 0.823649 * Train accuracy / confusion: 59.50% / [[268, 85, 7], [96, 143, 30], [34, 72, 65]], * Val accuracy / confusion: 56.15% / [[165, 59, 6], [61, 78, 36], [19, 47, 49]] ------------------------------ Epoch 077 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.898825 - Iter 024 / 025, Loss: 0.819366 * Train accuracy / confusion: 58.00% / [[275, 64, 16], [109, 113, 44], [28, 75, 76]], * Val accuracy / confusion: 56.92% / [[174, 50, 6], [60, 90, 25], [24, 59, 32]] ------------------------------ Epoch 078 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.757093 - Iter 024 / 025, Loss: 0.867606 * Train accuracy / confusion: 58.12% / [[279, 62, 13], [112, 116, 42], [29, 77, 70]], * Val accuracy / confusion: 54.42% / [[165, 47, 18], [58, 80, 37], [25, 52, 38]] ------------------------------ Epoch 079 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.891655 - Iter 024 / 025, Loss: 0.697978 * Train accuracy / confusion: 59.25% / [[269, 68, 16], [113, 117, 36], [33, 60, 88]], * Val accuracy / confusion: 58.85% / [[189, 25, 16], [75, 54, 46], [28, 24, 63]] ------------------------------ Epoch 080 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.745237 - Iter 024 / 025, Loss: 0.746718 * Train accuracy / confusion: 60.12% / [[284, 64, 10], [103, 117, 45], [31, 66, 80]], * Val accuracy / confusion: 55.19% / [[164, 56, 10], [61, 85, 29], [20, 57, 38]] ------------------------------ Epoch 081 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.834418 - Iter 024 / 025, Loss: 0.804583 * Train accuracy / confusion: 57.50% / [[266, 71, 15], [111, 125, 37], [30, 76, 69]], * Val accuracy / confusion: 58.65% / [[174, 39, 17], [58, 83, 34], [29, 38, 48]] ------------------------------ Epoch 082 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.861860 - Iter 024 / 025, Loss: 0.852344 * Train accuracy / confusion: 58.75% / [[274, 64, 14], [103, 120, 48], [28, 73, 76]], * Val accuracy / confusion: 55.77% / [[159, 55, 16], [51, 87, 37], [17, 54, 44]] ------------------------------ Epoch 083 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.831010 - Iter 024 / 025, Loss: 0.688172 * Train accuracy / confusion: 59.62% / [[288, 53, 15], [108, 110, 50], [28, 69, 79]], * Val accuracy / confusion: 58.65% / [[161, 56, 13], [52, 96, 27], [16, 51, 48]] ------------------------------ Epoch 084 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.871302 - Iter 024 / 025, Loss: 0.780987 * Train accuracy / confusion: 60.88% / [[281, 65, 10], [102, 123, 44], [29, 63, 83]], * Val accuracy / confusion: 54.23% / [[202, 19, 9], [101, 43, 31], [50, 28, 37]] ------------------------------ Epoch 085 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.900365 - Iter 024 / 025, Loss: 0.861360 * Train accuracy / confusion: 58.50% / [[268, 67, 20], [109, 117, 40], [32, 64, 83]], * Val accuracy / confusion: 58.27% / [[150, 71, 9], [38, 90, 47], [16, 36, 63]] ------------------------------ Epoch 086 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.832773 - Iter 024 / 025, Loss: 0.871110 * Train accuracy / confusion: 58.25% / [[273, 70, 13], [106, 108, 51], [24, 70, 85]], * Val accuracy / confusion: 53.27% / [[145, 67, 18], [49, 85, 41], [13, 55, 47]] ------------------------------ Epoch 087 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.841754 - Iter 024 / 025, Loss: 0.826556 * Train accuracy / confusion: 61.00% / [[294, 54, 9], [109, 109, 47], [38, 55, 85]], * Val accuracy / confusion: 55.58% / [[139, 69, 22], [40, 95, 40], [7, 53, 55]] ------------------------------ Epoch 088 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.820397 - Iter 024 / 025, Loss: 0.900586 * Train accuracy / confusion: 61.25% / [[274, 73, 10], [98, 127, 42], [20, 67, 89]], * Val accuracy / confusion: 56.73% / [[178, 43, 9], [62, 79, 34], [25, 52, 38]] ------------------------------ Epoch 089 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.861522 - Iter 024 / 025, Loss: 0.673399 * Train accuracy / confusion: 58.50% / [[272, 69, 14], [92, 126, 50], [23, 84, 70]], * Val accuracy / confusion: 55.58% / [[161, 55, 14], [56, 74, 45], [18, 43, 54]] ------------------------------ Epoch 090 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.982217 - Iter 024 / 025, Loss: 0.830210 * Train accuracy / confusion: 59.00% / [[260, 75, 18], [95, 123, 49], [28, 63, 89]], * Val accuracy / confusion: 55.77% / [[161, 43, 26], [53, 65, 57], [17, 34, 64]] ------------------------------ Epoch 091 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.128646 - Iter 024 / 025, Loss: 0.888305 * Train accuracy / confusion: 59.50% / [[279, 62, 15], [107, 125, 36], [32, 72, 72]], * Val accuracy / confusion: 56.35% / [[153, 68, 9], [45, 110, 20], [19, 66, 30]] ------------------------------ Epoch 092 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.757721 - Iter 024 / 025, Loss: 0.852507 * Train accuracy / confusion: 56.38% / [[275, 62, 17], [118, 99, 53], [37, 62, 77]], * Val accuracy / confusion: 55.38% / [[183, 44, 3], [72, 83, 20], [33, 60, 22]] ------------------------------ Epoch 093 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.756410 - Iter 024 / 025, Loss: 0.997114 * Train accuracy / confusion: 55.62% / [[268, 71, 16], [109, 118, 43], [36, 80, 59]], * Val accuracy / confusion: 57.50% / [[175, 46, 9], [64, 91, 20], [21, 61, 33]] ------------------------------ Epoch 094 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.835512 - Iter 024 / 025, Loss: 0.852845 * Train accuracy / confusion: 60.00% / [[286, 63, 10], [108, 121, 38], [27, 74, 73]], * Val accuracy / confusion: 55.38% / [[169, 33, 28], [56, 42, 77], [22, 16, 77]] ------------------------------ Epoch 095 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.788932 - Iter 024 / 025, Loss: 0.936334 * Train accuracy / confusion: 59.00% / [[282, 50, 23], [112, 106, 52], [31, 60, 84]], * Val accuracy / confusion: 55.19% / [[182, 42, 6], [68, 77, 30], [21, 66, 28]] ------------------------------ Epoch 096 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.936580 - Iter 024 / 025, Loss: 1.020072 * Train accuracy / confusion: 61.75% / [[256, 83, 11], [82, 136, 52], [20, 58, 102]], * Val accuracy / confusion: 59.23% / [[160, 62, 8], [49, 95, 31], [19, 43, 53]] ------------------------------ Epoch 097 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.951088 - Iter 024 / 025, Loss: 0.740850 * Train accuracy / confusion: 58.50% / [[276, 63, 19], [115, 115, 35], [31, 69, 77]], * Val accuracy / confusion: 59.23% / [[166, 60, 4], [41, 116, 18], [23, 66, 26]] ------------------------------ Epoch 098 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.693317 - Iter 024 / 025, Loss: 0.662533 * Train accuracy / confusion: 61.75% / [[287, 52, 18], [101, 122, 43], [28, 64, 85]], * Val accuracy / confusion: 56.73% / [[167, 52, 11], [57, 90, 28], [24, 53, 38]] ------------------------------ Epoch 099 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.887686 - Iter 024 / 025, Loss: 0.882678 * Train accuracy / confusion: 59.75% / [[266, 66, 21], [96, 125, 48], [27, 64, 87]], * Val accuracy / confusion: 58.65% / [[162, 48, 20], [55, 85, 35], [22, 35, 58]] ------------------------------ Epoch 100 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.695422 - Iter 024 / 025, Loss: 0.935363 * Train accuracy / confusion: 60.50% / [[274, 72, 9], [103, 125, 40], [18, 74, 85]], * Val accuracy / confusion: 57.69% / [[183, 39, 8], [68, 88, 19], [25, 61, 29]] ------------------------------ Epoch 101 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.860005 - Iter 024 / 025, Loss: 0.956871 * Train accuracy / confusion: 61.12% / [[271, 75, 10], [88, 143, 39], [18, 81, 75]], * Val accuracy / confusion: 58.27% / [[169, 53, 8], [59, 81, 35], [17, 45, 53]] ------------------------------ Epoch 102 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.035200 - Iter 024 / 025, Loss: 0.954002 * Train accuracy / confusion: 60.75% / [[288, 52, 17], [114, 100, 51], [31, 49, 98]], * Val accuracy / confusion: 56.73% / [[163, 47, 20], [56, 79, 40], [20, 42, 53]] ------------------------------ Epoch 103 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.849783 - Iter 024 / 025, Loss: 0.948128 * Train accuracy / confusion: 60.12% / [[258, 78, 13], [97, 133, 41], [28, 62, 90]], * Val accuracy / confusion: 53.65% / [[167, 45, 18], [68, 67, 40], [23, 47, 45]] ------------------------------ Epoch 104 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.818157 - Iter 024 / 025, Loss: 1.096051 * Train accuracy / confusion: 61.25% / [[284, 55, 20], [95, 116, 52], [34, 54, 90]], * Val accuracy / confusion: 55.96% / [[177, 42, 11], [72, 78, 25], [26, 53, 36]] ------------------------------ Epoch 105 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.823467 - Iter 024 / 025, Loss: 0.900110 * Train accuracy / confusion: 59.12% / [[266, 71, 16], [93, 134, 42], [25, 80, 73]], * Val accuracy / confusion: 51.73% / [[140, 45, 45], [43, 68, 64], [18, 36, 61]] ------------------------------ Epoch 106 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.894127 - Iter 024 / 025, Loss: 0.977688 * Train accuracy / confusion: 60.25% / [[288, 59, 10], [111, 128, 30], [36, 72, 66]], * Val accuracy / confusion: 57.50% / [[176, 44, 10], [61, 85, 29], [18, 59, 38]] ------------------------------ Epoch 107 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.045247 - Iter 024 / 025, Loss: 0.651529 * Train accuracy / confusion: 61.25% / [[284, 52, 17], [108, 121, 40], [29, 64, 85]], * Val accuracy / confusion: 53.85% / [[187, 40, 3], [85, 78, 12], [30, 70, 15]] ------------------------------ Epoch 108 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.998059 - Iter 024 / 025, Loss: 0.944833 * Train accuracy / confusion: 60.00% / [[280, 59, 16], [103, 122, 44], [28, 70, 78]], * Val accuracy / confusion: 55.77% / [[178, 35, 17], [68, 63, 44], [21, 45, 49]] ------------------------------ Epoch 109 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.909758 - Iter 024 / 025, Loss: 0.795047 * Train accuracy / confusion: 60.38% / [[281, 57, 20], [118, 112, 40], [28, 54, 90]], * Val accuracy / confusion: 55.19% / [[143, 58, 29], [47, 82, 46], [14, 39, 62]] ------------------------------ Epoch 110 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.737769 - Iter 024 / 025, Loss: 0.819011 * Train accuracy / confusion: 62.12% / [[287, 54, 16], [100, 123, 43], [28, 62, 87]], * Val accuracy / confusion: 56.35% / [[150, 73, 7], [45, 111, 19], [15, 68, 32]] ------------------------------ Epoch 111 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.751904 - Iter 024 / 025, Loss: 0.883606 * Train accuracy / confusion: 59.62% / [[281, 57, 21], [103, 118, 46], [33, 63, 78]], * Val accuracy / confusion: 56.73% / [[162, 46, 22], [58, 76, 41], [23, 35, 57]] ------------------------------ Epoch 112 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.900822 - Iter 024 / 025, Loss: 0.679809 * Train accuracy / confusion: 60.00% / [[286, 66, 7], [113, 103, 49], [31, 54, 91]], * Val accuracy / confusion: 55.38% / [[178, 39, 13], [75, 80, 20], [27, 58, 30]] ------------------------------ Epoch 113 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.786585 - Iter 024 / 025, Loss: 0.865051 * Train accuracy / confusion: 59.50% / [[271, 72, 10], [94, 118, 59], [34, 55, 87]], * Val accuracy / confusion: 54.62% / [[176, 39, 15], [71, 63, 41], [21, 49, 45]] ------------------------------ Epoch 114 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.817627 - Iter 024 / 025, Loss: 0.720839 * Train accuracy / confusion: 62.62% / [[282, 59, 14], [108, 118, 43], [32, 43, 101]], * Val accuracy / confusion: 56.73% / [[167, 48, 15], [58, 77, 40], [14, 50, 51]] ------------------------------ Epoch 115 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.852361 - Iter 024 / 025, Loss: 0.901532 * Train accuracy / confusion: 61.38% / [[281, 52, 16], [104, 109, 58], [35, 44, 101]], * Val accuracy / confusion: 59.04% / [[169, 44, 17], [57, 70, 48], [19, 28, 68]] ------------------------------ Epoch 116 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.829761 - Iter 024 / 025, Loss: 0.736826 * Train accuracy / confusion: 59.75% / [[269, 67, 15], [97, 129, 41], [28, 74, 80]], * Val accuracy / confusion: 59.62% / [[175, 37, 18], [59, 73, 43], [23, 30, 62]] ------------------------------ Epoch 117 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.760066 - Iter 024 / 025, Loss: 0.656057 * Train accuracy / confusion: 62.38% / [[286, 45, 22], [102, 122, 45], [23, 64, 91]], * Val accuracy / confusion: 54.81% / [[176, 32, 22], [77, 66, 32], [31, 41, 43]] ------------------------------ Epoch 118 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.016016 - Iter 024 / 025, Loss: 0.757039 * Train accuracy / confusion: 63.62% / [[277, 67, 12], [95, 138, 37], [22, 58, 94]], * Val accuracy / confusion: 56.54% / [[165, 62, 3], [56, 101, 18], [17, 70, 28]] ------------------------------ Epoch 119 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.738523 - Iter 024 / 025, Loss: 0.809312 * Train accuracy / confusion: 61.12% / [[286, 52, 18], [113, 105, 48], [27, 53, 98]], * Val accuracy / confusion: 58.08% / [[169, 50, 11], [55, 87, 33], [22, 47, 46]] ------------------------------ Epoch 120 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.791422 - Iter 024 / 025, Loss: 0.899501 * Train accuracy / confusion: 57.62% / [[257, 83, 11], [92, 131, 48], [25, 80, 73]], * Val accuracy / confusion: 57.50% / [[174, 40, 16], [68, 81, 26], [22, 49, 44]] ------------------------------ Epoch 121 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.843278 - Iter 024 / 025, Loss: 0.754025 * Train accuracy / confusion: 59.62% / [[282, 59, 15], [98, 115, 60], [29, 62, 80]], * Val accuracy / confusion: 59.42% / [[176, 42, 12], [59, 92, 24], [26, 48, 41]] ------------------------------ Epoch 122 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.770169 - Iter 024 / 025, Loss: 0.839316 * Train accuracy / confusion: 62.88% / [[279, 66, 13], [89, 131, 44], [24, 61, 93]], * Val accuracy / confusion: 54.04% / [[183, 37, 10], [80, 59, 36], [36, 40, 39]] ------------------------------ Epoch 123 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.903821 - Iter 024 / 025, Loss: 0.772606 * Train accuracy / confusion: 60.75% / [[273, 72, 10], [95, 133, 40], [28, 69, 80]], * Val accuracy / confusion: 59.62% / [[151, 65, 14], [42, 103, 30], [14, 45, 56]] ------------------------------ Epoch 124 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.628072 - Iter 024 / 025, Loss: 0.858243 * Train accuracy / confusion: 60.62% / [[276, 63, 20], [101, 119, 43], [23, 65, 90]], * Val accuracy / confusion: 58.85% / [[172, 35, 23], [57, 76, 42], [24, 33, 58]] ------------------------------ Epoch 125 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.903596 - Iter 024 / 025, Loss: 0.746133 * Train accuracy / confusion: 61.50% / [[288, 59, 13], [105, 120, 42], [26, 63, 84]], * Val accuracy / confusion: 56.35% / [[165, 57, 8], [54, 94, 27], [24, 57, 34]] ------------------------------ Epoch 126 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.869398 - Iter 024 / 025, Loss: 0.815139 * Train accuracy / confusion: 58.62% / [[261, 80, 10], [106, 116, 50], [21, 64, 92]], * Val accuracy / confusion: 55.38% / [[167, 40, 23], [64, 60, 51], [22, 32, 61]] ------------------------------ Epoch 127 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.673627 - Iter 024 / 025, Loss: 0.738445 * Train accuracy / confusion: 63.00% / [[281, 63, 13], [103, 133, 30], [28, 59, 90]], * Val accuracy / confusion: 54.81% / [[149, 69, 12], [47, 83, 45], [16, 46, 53]] ------------------------------ Epoch 128 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.751675 - Iter 024 / 025, Loss: 0.950577 * Train accuracy / confusion: 59.00% / [[276, 60, 18], [108, 110, 54], [27, 61, 86]], * Val accuracy / confusion: 54.23% / [[127, 91, 12], [34, 121, 20], [9, 72, 34]] ------------------------------ Epoch 129 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.664286 - Iter 024 / 025, Loss: 0.909827 * Train accuracy / confusion: 59.50% / [[276, 61, 22], [104, 110, 49], [33, 55, 90]], * Val accuracy / confusion: 55.38% / [[187, 42, 1], [79, 80, 16], [31, 63, 21]] ------------------------------ Epoch 130 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.911396 - Iter 024 / 025, Loss: 0.734681 * Train accuracy / confusion: 62.00% / [[268, 62, 23], [85, 128, 57], [29, 48, 100]], * Val accuracy / confusion: 56.35% / [[138, 69, 23], [31, 105, 39], [14, 51, 50]] ------------------------------ Epoch 131 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.807013 - Iter 024 / 025, Loss: 0.904975 * Train accuracy / confusion: 61.00% / [[280, 62, 14], [94, 136, 37], [25, 80, 72]], * Val accuracy / confusion: 57.50% / [[171, 45, 14], [57, 82, 36], [22, 47, 46]] ------------------------------ Epoch 132 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.667614 - Iter 024 / 025, Loss: 0.785887 * Train accuracy / confusion: 61.00% / [[282, 62, 12], [97, 114, 56], [28, 57, 92]], * Val accuracy / confusion: 54.42% / [[146, 58, 26], [47, 84, 44], [15, 47, 53]] ------------------------------ Epoch 133 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.728220 - Iter 024 / 025, Loss: 0.826117 * Train accuracy / confusion: 60.50% / [[280, 60, 15], [98, 125, 44], [31, 68, 79]], * Val accuracy / confusion: 57.69% / [[168, 50, 12], [61, 91, 23], [18, 56, 41]] ------------------------------ Epoch 134 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.803135 - Iter 024 / 025, Loss: 0.772132 * Train accuracy / confusion: 60.25% / [[280, 63, 10], [100, 119, 50], [28, 67, 83]], * Val accuracy / confusion: 54.62% / [[137, 67, 26], [35, 94, 46], [11, 51, 53]] ------------------------------ Epoch 135 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.793704 - Iter 024 / 025, Loss: 0.909434 * Train accuracy / confusion: 60.50% / [[274, 64, 20], [101, 120, 50], [24, 57, 90]], * Val accuracy / confusion: 53.46% / [[192, 31, 7], [98, 56, 21], [35, 50, 30]] ------------------------------ Epoch 136 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.742486 - Iter 024 / 025, Loss: 0.788750 * Train accuracy / confusion: 63.25% / [[281, 64, 14], [106, 127, 31], [27, 52, 98]], * Val accuracy / confusion: 55.19% / [[142, 73, 15], [44, 99, 32], [16, 53, 46]] ------------------------------ Epoch 137 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.669357 - Iter 024 / 025, Loss: 0.776847 * Train accuracy / confusion: 60.00% / [[274, 67, 11], [110, 118, 41], [34, 57, 88]], * Val accuracy / confusion: 59.23% / [[155, 59, 16], [39, 96, 40], [13, 45, 57]] ------------------------------ Epoch 138 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.865143 - Iter 024 / 025, Loss: 0.894858 * Train accuracy / confusion: 64.88% / [[279, 63, 16], [84, 144, 39], [22, 57, 96]], * Val accuracy / confusion: 57.88% / [[139, 68, 23], [34, 99, 42], [10, 42, 63]] ------------------------------ Epoch 139 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.758291 - Iter 024 / 025, Loss: 0.850877 * Train accuracy / confusion: 63.75% / [[294, 52, 15], [113, 113, 37], [32, 41, 103]], * Val accuracy / confusion: 56.73% / [[177, 41, 12], [71, 64, 40], [20, 41, 54]] ------------------------------ Epoch 140 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.685959 - Iter 024 / 025, Loss: 0.894296 * Train accuracy / confusion: 62.75% / [[284, 59, 11], [101, 119, 52], [27, 48, 99]], * Val accuracy / confusion: 56.92% / [[156, 66, 8], [48, 106, 21], [22, 59, 34]] ------------------------------ Epoch 141 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.987026 - Iter 024 / 025, Loss: 0.713060 * Train accuracy / confusion: 60.88% / [[261, 77, 16], [87, 144, 41], [26, 66, 82]], * Val accuracy / confusion: 55.58% / [[143, 60, 27], [44, 75, 56], [12, 32, 71]] ------------------------------ Epoch 142 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.809261 - Iter 024 / 025, Loss: 0.722261 * Train accuracy / confusion: 58.62% / [[266, 78, 12], [102, 136, 29], [28, 82, 67]], * Val accuracy / confusion: 56.92% / [[166, 47, 17], [65, 77, 33], [22, 40, 53]] ------------------------------ Epoch 143 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.851369 - Iter 024 / 025, Loss: 0.978389 * Train accuracy / confusion: 64.50% / [[287, 56, 13], [95, 115, 54], [23, 43, 114]], * Val accuracy / confusion: 57.12% / [[140, 79, 11], [36, 111, 28], [13, 56, 46]] ------------------------------ Epoch 144 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.709094 - Iter 024 / 025, Loss: 0.792465 * Train accuracy / confusion: 61.00% / [[288, 50, 19], [107, 113, 48], [26, 62, 87]], * Val accuracy / confusion: 56.73% / [[179, 45, 6], [76, 78, 21], [24, 53, 38]] ------------------------------ Epoch 145 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.892340 - Iter 024 / 025, Loss: 0.874770 * Train accuracy / confusion: 61.25% / [[265, 78, 15], [89, 134, 44], [19, 65, 91]], * Val accuracy / confusion: 57.88% / [[170, 42, 18], [61, 87, 27], [24, 47, 44]] ------------------------------ Epoch 146 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.798879 - Iter 024 / 025, Loss: 0.839754 * Train accuracy / confusion: 61.25% / [[292, 50, 17], [100, 113, 51], [31, 61, 85]], * Val accuracy / confusion: 51.92% / [[136, 61, 33], [41, 81, 53], [18, 44, 53]] ------------------------------ Epoch 147 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.688892 - Iter 024 / 025, Loss: 0.692481 * Train accuracy / confusion: 62.00% / [[284, 64, 11], [99, 135, 31], [31, 68, 77]], * Val accuracy / confusion: 56.54% / [[179, 41, 10], [74, 86, 15], [30, 56, 29]] ------------------------------ Epoch 148 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.925772 - Iter 024 / 025, Loss: 0.746552 * Train accuracy / confusion: 64.12% / [[281, 54, 19], [96, 145, 32], [25, 61, 87]], * Val accuracy / confusion: 54.42% / [[151, 54, 25], [56, 84, 35], [16, 51, 48]] ------------------------------ Epoch 149 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.844823 - Iter 024 / 025, Loss: 0.910291 * Train accuracy / confusion: 62.00% / [[282, 63, 12], [89, 139, 40], [33, 67, 75]], * Val accuracy / confusion: 58.27% / [[176, 31, 23], [69, 56, 50], [22, 22, 71]] ------------------------------ Epoch 150 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.847623 - Iter 024 / 025, Loss: 0.899959 * Train accuracy / confusion: 62.38% / [[290, 47, 17], [107, 124, 39], [31, 60, 85]], * Val accuracy / confusion: 57.50% / [[168, 52, 10], [61, 80, 34], [14, 50, 51]] ------------------------------ Epoch 151 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.600706 - Iter 024 / 025, Loss: 0.643718 * Train accuracy / confusion: 62.75% / [[284, 58, 14], [93, 135, 42], [26, 65, 83]], * Val accuracy / confusion: 57.12% / [[174, 48, 8], [71, 77, 27], [26, 43, 46]] ------------------------------ Epoch 152 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.934637 - Iter 024 / 025, Loss: 0.750475 * Train accuracy / confusion: 61.75% / [[284, 63, 9], [103, 138, 29], [31, 71, 72]], * Val accuracy / confusion: 54.81% / [[148, 58, 24], [51, 75, 49], [14, 39, 62]] ------------------------------ Epoch 153 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.781224 - Iter 024 / 025, Loss: 0.657819 * Train accuracy / confusion: 64.00% / [[280, 61, 16], [80, 137, 50], [27, 54, 95]], * Val accuracy / confusion: 55.38% / [[177, 41, 12], [76, 71, 28], [22, 53, 40]] ------------------------------ Epoch 154 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.795699 - Iter 024 / 025, Loss: 0.726535 * Train accuracy / confusion: 63.50% / [[290, 59, 7], [102, 141, 25], [29, 70, 77]], * Val accuracy / confusion: 56.73% / [[138, 73, 19], [39, 99, 37], [13, 44, 58]] ------------------------------ Epoch 155 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.906460 - Iter 024 / 025, Loss: 0.932759 * Train accuracy / confusion: 64.38% / [[280, 61, 14], [84, 141, 44], [25, 57, 94]], * Val accuracy / confusion: 55.00% / [[127, 54, 49], [40, 86, 49], [9, 33, 73]] ------------------------------ Epoch 156 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.716031 - Iter 024 / 025, Loss: 0.857664 * Train accuracy / confusion: 61.00% / [[277, 64, 17], [92, 122, 50], [27, 62, 89]], * Val accuracy / confusion: 54.42% / [[193, 36, 1], [100, 56, 19], [37, 44, 34]] ------------------------------ Epoch 157 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.650652 - Iter 024 / 025, Loss: 0.937780 * Train accuracy / confusion: 62.50% / [[291, 54, 13], [101, 127, 38], [31, 63, 82]], * Val accuracy / confusion: 55.00% / [[159, 57, 14], [67, 79, 29], [17, 50, 48]] ------------------------------ Epoch 158 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.846559 - Iter 024 / 025, Loss: 0.735386 * Train accuracy / confusion: 63.12% / [[294, 50, 11], [101, 118, 49], [33, 51, 93]], * Val accuracy / confusion: 55.19% / [[183, 40, 7], [76, 68, 31], [27, 52, 36]] ------------------------------ Epoch 159 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.830641 - Iter 024 / 025, Loss: 0.828869 * Train accuracy / confusion: 64.75% / [[286, 56, 16], [89, 138, 37], [20, 64, 94]], * Val accuracy / confusion: 55.77% / [[141, 68, 21], [37, 102, 36], [8, 60, 47]] ------------------------------ Epoch 160 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.940521 - Iter 024 / 025, Loss: 0.707158 * Train accuracy / confusion: 62.00% / [[274, 64, 21], [84, 126, 53], [23, 59, 96]], * Val accuracy / confusion: 52.12% / [[131, 79, 20], [32, 96, 47], [10, 61, 44]] ------------------------------ Epoch 161 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.046950 - Iter 024 / 025, Loss: 0.946129 * Train accuracy / confusion: 59.62% / [[271, 73, 13], [89, 135, 43], [30, 75, 71]], * Val accuracy / confusion: 55.38% / [[176, 29, 25], [69, 46, 60], [19, 30, 66]] ------------------------------ Epoch 162 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.791785 - Iter 024 / 025, Loss: 0.681099 * Train accuracy / confusion: 64.62% / [[287, 53, 16], [94, 147, 27], [25, 68, 83]], * Val accuracy / confusion: 57.31% / [[165, 49, 16], [58, 76, 41], [15, 43, 57]] ------------------------------ Epoch 163 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.676654 - Iter 024 / 025, Loss: 0.801829 * Train accuracy / confusion: 61.62% / [[278, 64, 15], [102, 108, 57], [20, 49, 107]], * Val accuracy / confusion: 57.31% / [[187, 37, 6], [81, 83, 11], [25, 62, 28]] ------------------------------ Epoch 164 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.905875 - Iter 024 / 025, Loss: 0.893870 * Train accuracy / confusion: 59.75% / [[282, 72, 6], [102, 139, 24], [28, 90, 57]], * Val accuracy / confusion: 58.08% / [[181, 39, 10], [77, 67, 31], [30, 31, 54]] ------------------------------ Epoch 165 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.844517 - Iter 024 / 025, Loss: 0.887048 * Train accuracy / confusion: 61.88% / [[272, 69, 11], [99, 129, 44], [22, 60, 94]], * Val accuracy / confusion: 56.15% / [[168, 54, 8], [62, 85, 28], [23, 53, 39]] ------------------------------ Epoch 166 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.972265 - Iter 024 / 025, Loss: 0.672207 * Train accuracy / confusion: 65.38% / [[280, 57, 19], [88, 139, 45], [23, 45, 104]], * Val accuracy / confusion: 54.62% / [[162, 55, 13], [63, 83, 29], [25, 51, 39]] ------------------------------ Epoch 167 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.905445 - Iter 024 / 025, Loss: 0.879097 * Train accuracy / confusion: 63.12% / [[269, 75, 14], [84, 155, 28], [19, 75, 81]], * Val accuracy / confusion: 55.19% / [[156, 57, 17], [53, 92, 30], [16, 60, 39]] ------------------------------ Epoch 168 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.861099 - Iter 024 / 025, Loss: 0.723929 * Train accuracy / confusion: 65.38% / [[293, 48, 15], [100, 123, 50], [27, 37, 107]], * Val accuracy / confusion: 51.35% / [[115, 92, 23], [30, 105, 40], [8, 60, 47]] ------------------------------ Epoch 169 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.644276 - Iter 024 / 025, Loss: 0.831874 * Train accuracy / confusion: 61.38% / [[283, 59, 18], [111, 119, 33], [27, 61, 89]], * Val accuracy / confusion: 55.19% / [[151, 45, 34], [46, 63, 66], [19, 23, 73]] ------------------------------ Epoch 170 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.780324 - Iter 024 / 025, Loss: 0.773967 * Train accuracy / confusion: 63.50% / [[276, 68, 10], [78, 152, 37], [22, 77, 80]], * Val accuracy / confusion: 56.92% / [[173, 51, 6], [59, 96, 20], [26, 62, 27]] ------------------------------ Epoch 171 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.823404 - Iter 024 / 025, Loss: 0.842526 * Train accuracy / confusion: 61.00% / [[278, 58, 20], [98, 120, 53], [32, 51, 90]], * Val accuracy / confusion: 59.42% / [[164, 48, 18], [53, 86, 36], [17, 39, 59]] ------------------------------ Epoch 172 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.830186 - Iter 024 / 025, Loss: 1.157114 * Train accuracy / confusion: 62.00% / [[287, 61, 12], [93, 122, 47], [31, 60, 87]], * Val accuracy / confusion: 59.42% / [[181, 35, 14], [69, 64, 42], [20, 31, 64]] ------------------------------ Epoch 173 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.861670 - Iter 024 / 025, Loss: 0.770934 * Train accuracy / confusion: 62.12% / [[279, 60, 17], [91, 128, 49], [29, 57, 90]], * Val accuracy / confusion: 58.27% / [[160, 60, 10], [60, 81, 34], [19, 34, 62]] ------------------------------ Epoch 174 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.735902 - Iter 024 / 025, Loss: 0.697698 * Train accuracy / confusion: 62.25% / [[267, 60, 22], [94, 142, 34], [32, 60, 89]], * Val accuracy / confusion: 57.50% / [[148, 64, 18], [44, 84, 47], [17, 31, 67]] ------------------------------ Epoch 175 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.909546 - Iter 024 / 025, Loss: 0.677457 * Train accuracy / confusion: 63.00% / [[266, 74, 12], [78, 154, 39], [27, 66, 84]], * Val accuracy / confusion: 55.19% / [[169, 55, 6], [70, 84, 21], [24, 57, 34]] ------------------------------ Epoch 176 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.797022 - Iter 024 / 025, Loss: 0.934855 * Train accuracy / confusion: 62.88% / [[285, 55, 15], [104, 122, 39], [27, 57, 96]], * Val accuracy / confusion: 57.50% / [[157, 53, 20], [52, 72, 51], [14, 31, 70]] ------------------------------ Epoch 177 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.845849 - Iter 024 / 025, Loss: 0.701645 * Train accuracy / confusion: 62.50% / [[260, 74, 19], [90, 145, 38], [22, 57, 95]], * Val accuracy / confusion: 55.58% / [[183, 40, 7], [83, 73, 19], [35, 47, 33]] ------------------------------ Epoch 178 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.876833 - Iter 024 / 025, Loss: 0.760271 * Train accuracy / confusion: 61.25% / [[284, 59, 13], [109, 127, 32], [32, 65, 79]], * Val accuracy / confusion: 58.46% / [[160, 55, 15], [60, 85, 30], [20, 36, 59]] ------------------------------ Epoch 179 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.932118 - Iter 024 / 025, Loss: 0.803248 * Train accuracy / confusion: 62.88% / [[275, 60, 20], [96, 129, 46], [23, 52, 99]], * Val accuracy / confusion: 57.31% / [[157, 61, 12], [55, 86, 34], [17, 43, 55]] ------------------------------ Epoch 180 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.820664 - Iter 024 / 025, Loss: 0.866317 * Train accuracy / confusion: 65.00% / [[274, 61, 18], [86, 138, 46], [19, 50, 108]], * Val accuracy / confusion: 56.15% / [[145, 70, 15], [43, 88, 44], [13, 43, 59]] ------------------------------ Epoch 181 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.747974 - Iter 024 / 025, Loss: 0.789694 * Train accuracy / confusion: 67.00% / [[283, 63, 14], [78, 156, 30], [22, 57, 97]], * Val accuracy / confusion: 56.15% / [[164, 45, 21], [63, 62, 50], [23, 26, 66]] ------------------------------ Epoch 182 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.723949 - Iter 024 / 025, Loss: 0.821754 * Train accuracy / confusion: 62.75% / [[278, 60, 15], [103, 126, 43], [29, 48, 98]], * Val accuracy / confusion: 54.62% / [[165, 45, 20], [65, 61, 49], [23, 34, 58]] ------------------------------ Epoch 183 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.832636 - Iter 024 / 025, Loss: 0.794447 * Train accuracy / confusion: 63.38% / [[275, 62, 16], [92, 137, 40], [27, 56, 95]], * Val accuracy / confusion: 58.85% / [[164, 54, 12], [54, 92, 29], [16, 49, 50]] ------------------------------ Epoch 184 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.112937 - Iter 024 / 025, Loss: 0.649301 * Train accuracy / confusion: 64.12% / [[285, 53, 19], [98, 128, 42], [18, 57, 100]], * Val accuracy / confusion: 57.31% / [[163, 46, 21], [55, 64, 56], [18, 26, 71]] ------------------------------ Epoch 185 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.823841 - Iter 024 / 025, Loss: 1.139748 * Train accuracy / confusion: 61.00% / [[271, 80, 6], [93, 139, 34], [20, 79, 78]], * Val accuracy / confusion: 60.38% / [[160, 57, 13], [46, 91, 38], [23, 29, 63]] ------------------------------ Epoch 186 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.815279 - Iter 024 / 025, Loss: 0.920063 * Train accuracy / confusion: 63.88% / [[271, 70, 12], [77, 152, 39], [23, 68, 88]], * Val accuracy / confusion: 57.31% / [[182, 40, 8], [73, 72, 30], [32, 39, 44]] ------------------------------ Epoch 187 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.686338 - Iter 024 / 025, Loss: 1.049029 * Train accuracy / confusion: 64.50% / [[292, 53, 15], [89, 135, 44], [23, 60, 89]], * Val accuracy / confusion: 56.73% / [[180, 41, 9], [80, 55, 40], [29, 26, 60]] ------------------------------ Epoch 188 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.672966 - Iter 024 / 025, Loss: 0.841280 * Train accuracy / confusion: 63.25% / [[266, 79, 11], [83, 146, 42], [21, 58, 94]], * Val accuracy / confusion: 55.00% / [[157, 62, 11], [69, 79, 27], [19, 46, 50]] ------------------------------ Epoch 189 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.720036 - Iter 024 / 025, Loss: 0.766273 * Train accuracy / confusion: 62.12% / [[279, 60, 15], [113, 126, 30], [25, 60, 92]], * Val accuracy / confusion: 55.00% / [[150, 68, 12], [51, 97, 27], [19, 57, 39]] ------------------------------ Epoch 190 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.958808 - Iter 024 / 025, Loss: 1.064972 * Train accuracy / confusion: 65.50% / [[273, 65, 17], [78, 156, 39], [23, 54, 95]], * Val accuracy / confusion: 57.31% / [[167, 60, 3], [58, 94, 23], [19, 59, 37]] ------------------------------ Epoch 191 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.740824 - Iter 024 / 025, Loss: 0.701351 * Train accuracy / confusion: 62.00% / [[265, 64, 20], [88, 148, 35], [28, 69, 83]], * Val accuracy / confusion: 57.69% / [[159, 58, 13], [53, 90, 32], [13, 51, 51]] ------------------------------ Epoch 192 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.804238 - Iter 024 / 025, Loss: 0.615279 * Train accuracy / confusion: 63.00% / [[275, 69, 12], [90, 145, 38], [26, 61, 84]], * Val accuracy / confusion: 55.77% / [[136, 67, 27], [39, 94, 42], [13, 42, 60]] ------------------------------ Epoch 193 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.808383 - Iter 024 / 025, Loss: 0.703578 * Train accuracy / confusion: 64.75% / [[272, 69, 15], [83, 144, 42], [19, 54, 102]], * Val accuracy / confusion: 59.04% / [[182, 39, 9], [77, 69, 29], [28, 31, 56]] ------------------------------ Epoch 194 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.897582 - Iter 024 / 025, Loss: 0.732985 * Train accuracy / confusion: 62.75% / [[275, 70, 15], [89, 145, 34], [20, 70, 82]], * Val accuracy / confusion: 56.92% / [[190, 37, 3], [81, 75, 19], [33, 51, 31]] ------------------------------ Epoch 195 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.714842 - Iter 024 / 025, Loss: 0.771428 * Train accuracy / confusion: 63.25% / [[267, 75, 14], [81, 146, 39], [20, 65, 93]], * Val accuracy / confusion: 53.85% / [[120, 98, 12], [33, 113, 29], [8, 60, 47]] ------------------------------ Epoch 196 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.811129 - Iter 024 / 025, Loss: 0.707490 * Train accuracy / confusion: 62.25% / [[277, 70, 10], [88, 138, 42], [24, 68, 83]], * Val accuracy / confusion: 55.19% / [[158, 54, 18], [54, 79, 42], [20, 45, 50]] ------------------------------ Epoch 197 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.736101 - Iter 024 / 025, Loss: 0.789573 * Train accuracy / confusion: 64.62% / [[280, 65, 14], [80, 152, 36], [30, 58, 85]], * Val accuracy / confusion: 54.42% / [[153, 65, 12], [59, 80, 36], [20, 45, 50]] ------------------------------ Epoch 198 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.771030 - Iter 024 / 025, Loss: 0.605178 * Train accuracy / confusion: 64.88% / [[289, 52, 14], [100, 130, 36], [27, 52, 100]], * Val accuracy / confusion: 57.12% / [[154, 60, 16], [46, 79, 50], [16, 35, 64]] ------------------------------ Epoch 199 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.848310 - Iter 024 / 025, Loss: 0.890194 * Train accuracy / confusion: 65.12% / [[280, 58, 18], [87, 136, 47], [21, 48, 105]], * Val accuracy / confusion: 55.19% / [[140, 84, 6], [39, 107, 29], [10, 65, 40]] ------------------------------ Epoch 200 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.768860 - Iter 024 / 025, Loss: 0.661993 * Train accuracy / confusion: 64.38% / [[284, 59, 12], [86, 144, 38], [25, 65, 87]], * Val accuracy / confusion: 53.65% / [[139, 54, 37], [45, 65, 65], [15, 25, 75]] ------------------------------ Epoch 201 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.897408 - Iter 024 / 025, Loss: 1.016318 * Train accuracy / confusion: 62.88% / [[278, 59, 23], [85, 132, 50], [31, 49, 93]], * Val accuracy / confusion: 56.54% / [[169, 55, 6], [70, 83, 22], [25, 48, 42]] ------------------------------ Epoch 202 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.825063 - Iter 024 / 025, Loss: 0.825699 * Train accuracy / confusion: 64.75% / [[290, 54, 11], [85, 145, 39], [22, 71, 83]], * Val accuracy / confusion: 59.23% / [[173, 46, 11], [60, 78, 37], [20, 38, 57]] ------------------------------ Epoch 203 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.720779 - Iter 024 / 025, Loss: 0.817844 * Train accuracy / confusion: 65.12% / [[282, 63, 13], [88, 145, 34], [26, 55, 94]], * Val accuracy / confusion: 56.35% / [[138, 88, 4], [37, 124, 14], [11, 73, 31]] ------------------------------ Epoch 204 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.812930 - Iter 024 / 025, Loss: 0.816571 * Train accuracy / confusion: 64.25% / [[280, 59, 18], [82, 137, 48], [25, 54, 97]], * Val accuracy / confusion: 54.42% / [[150, 64, 16], [55, 83, 37], [20, 45, 50]] ------------------------------ Epoch 205 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.756172 - Iter 024 / 025, Loss: 0.779630 * Train accuracy / confusion: 65.62% / [[296, 49, 13], [101, 132, 34], [21, 57, 97]], * Val accuracy / confusion: 53.85% / [[171, 50, 9], [83, 62, 30], [24, 44, 47]] ------------------------------ Epoch 206 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.775211 - Iter 024 / 025, Loss: 0.931178 * Train accuracy / confusion: 65.12% / [[281, 64, 10], [83, 145, 43], [18, 61, 95]], * Val accuracy / confusion: 56.35% / [[155, 66, 9], [58, 87, 30], [15, 49, 51]] ------------------------------ Epoch 207 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.833201 - Iter 024 / 025, Loss: 1.053087 * Train accuracy / confusion: 64.12% / [[274, 67, 13], [91, 151, 28], [23, 65, 88]], * Val accuracy / confusion: 58.65% / [[175, 44, 11], [63, 74, 38], [26, 33, 56]] ------------------------------ Epoch 208 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.720929 - Iter 024 / 025, Loss: 0.884919 * Train accuracy / confusion: 65.00% / [[268, 71, 14], [85, 147, 37], [25, 48, 105]], * Val accuracy / confusion: 59.23% / [[172, 41, 17], [62, 73, 40], [22, 30, 63]] ------------------------------ Epoch 209 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.053646 - Iter 024 / 025, Loss: 0.761525 * Train accuracy / confusion: 64.62% / [[282, 57, 19], [97, 139, 35], [24, 51, 96]], * Val accuracy / confusion: 54.23% / [[153, 59, 18], [60, 76, 39], [15, 47, 53]] ------------------------------ Epoch 210 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.814407 - Iter 024 / 025, Loss: 0.715794 * Train accuracy / confusion: 62.62% / [[283, 62, 15], [96, 127, 43], [22, 61, 91]], * Val accuracy / confusion: 57.88% / [[159, 57, 14], [65, 82, 28], [18, 37, 60]] ------------------------------ Epoch 211 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.613843 - Iter 024 / 025, Loss: 0.516294 * Train accuracy / confusion: 65.25% / [[281, 57, 13], [79, 136, 56], [14, 59, 105]], * Val accuracy / confusion: 52.88% / [[152, 74, 4], [59, 103, 13], [23, 72, 20]] ------------------------------ Epoch 212 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.906059 - Iter 024 / 025, Loss: 0.739646 * Train accuracy / confusion: 62.38% / [[275, 71, 13], [95, 142, 29], [26, 67, 82]], * Val accuracy / confusion: 53.65% / [[136, 67, 27], [44, 89, 42], [14, 47, 54]] ------------------------------ Epoch 213 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.949146 - Iter 024 / 025, Loss: 0.623608 * Train accuracy / confusion: 62.88% / [[272, 54, 25], [95, 134, 43], [37, 43, 97]], * Val accuracy / confusion: 52.88% / [[124, 85, 21], [37, 103, 35], [15, 52, 48]] ------------------------------ Epoch 214 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.639450 - Iter 024 / 025, Loss: 0.878105 * Train accuracy / confusion: 62.38% / [[269, 73, 16], [84, 127, 50], [27, 51, 103]], * Val accuracy / confusion: 56.15% / [[172, 51, 7], [71, 79, 25], [24, 50, 41]] ------------------------------ Epoch 215 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.829747 - Iter 024 / 025, Loss: 0.667517 * Train accuracy / confusion: 65.50% / [[296, 46, 12], [91, 145, 30], [32, 65, 83]], * Val accuracy / confusion: 55.00% / [[160, 55, 15], [61, 76, 38], [17, 48, 50]] ------------------------------ Epoch 216 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.981044 - Iter 024 / 025, Loss: 0.751612 * Train accuracy / confusion: 63.00% / [[267, 67, 19], [91, 131, 47], [20, 52, 106]], * Val accuracy / confusion: 57.12% / [[155, 68, 7], [52, 95, 28], [19, 49, 47]] ------------------------------ Epoch 217 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.818630 - Iter 024 / 025, Loss: 0.937343 * Train accuracy / confusion: 61.88% / [[281, 62, 13], [104, 122, 43], [34, 49, 92]], * Val accuracy / confusion: 57.69% / [[162, 57, 11], [61, 85, 29], [19, 43, 53]] ------------------------------ Epoch 218 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.916637 - Iter 024 / 025, Loss: 0.668069 * Train accuracy / confusion: 67.25% / [[287, 61, 12], [84, 149, 35], [20, 50, 102]], * Val accuracy / confusion: 56.15% / [[162, 53, 15], [64, 84, 27], [20, 49, 46]] ------------------------------ Epoch 219 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.924485 - Iter 024 / 025, Loss: 0.919546 * Train accuracy / confusion: 67.50% / [[296, 49, 14], [86, 147, 33], [25, 53, 97]], * Val accuracy / confusion: 55.96% / [[164, 57, 9], [68, 82, 25], [22, 48, 45]] ------------------------------ Epoch 220 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.816060 - Iter 024 / 025, Loss: 0.833224 * Train accuracy / confusion: 66.25% / [[276, 73, 11], [76, 158, 37], [16, 57, 96]], * Val accuracy / confusion: 57.50% / [[156, 51, 23], [52, 76, 47], [14, 34, 67]] ------------------------------ Epoch 221 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.983398 - Iter 024 / 025, Loss: 0.807309 * Train accuracy / confusion: 64.38% / [[276, 59, 19], [85, 143, 40], [17, 65, 96]], * Val accuracy / confusion: 58.27% / [[162, 51, 17], [65, 78, 32], [18, 34, 63]] ------------------------------ Epoch 222 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.935350 - Iter 024 / 025, Loss: 0.935828 * Train accuracy / confusion: 65.75% / [[292, 53, 14], [83, 150, 32], [32, 60, 84]], * Val accuracy / confusion: 52.88% / [[156, 63, 11], [61, 86, 28], [18, 64, 33]] ------------------------------ Epoch 223 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.672872 - Iter 024 / 025, Loss: 1.004188 * Train accuracy / confusion: 65.00% / [[279, 56, 19], [82, 143, 45], [21, 57, 98]], * Val accuracy / confusion: 55.96% / [[168, 47, 15], [70, 68, 37], [25, 35, 55]] ------------------------------ Epoch 224 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.904950 - Iter 024 / 025, Loss: 0.876860 * Train accuracy / confusion: 63.88% / [[267, 74, 18], [83, 153, 31], [28, 55, 91]], * Val accuracy / confusion: 56.35% / [[151, 75, 4], [50, 103, 22], [19, 57, 39]] ------------------------------ Epoch 225 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.698619 - Iter 024 / 025, Loss: 0.905537 * Train accuracy / confusion: 67.00% / [[294, 53, 9], [87, 151, 31], [23, 61, 91]], * Val accuracy / confusion: 55.96% / [[161, 60, 9], [57, 87, 31], [18, 54, 43]] ------------------------------ Epoch 226 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.673081 - Iter 024 / 025, Loss: 1.016565 * Train accuracy / confusion: 63.75% / [[265, 65, 23], [88, 148, 30], [24, 60, 97]], * Val accuracy / confusion: 56.92% / [[153, 62, 15], [53, 90, 32], [17, 45, 53]] ------------------------------ Epoch 227 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.716601 - Iter 024 / 025, Loss: 0.701715 * Train accuracy / confusion: 65.88% / [[289, 50, 19], [83, 143, 46], [28, 47, 95]], * Val accuracy / confusion: 55.00% / [[170, 48, 12], [77, 65, 33], [24, 40, 51]] ------------------------------ Epoch 228 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.812883 - Iter 024 / 025, Loss: 0.854196 * Train accuracy / confusion: 64.25% / [[280, 59, 17], [79, 150, 39], [20, 72, 84]], * Val accuracy / confusion: 54.42% / [[145, 68, 17], [49, 81, 45], [19, 39, 57]] ------------------------------ Epoch 229 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.766995 - Iter 024 / 025, Loss: 0.840446 * Train accuracy / confusion: 64.62% / [[280, 55, 21], [95, 135, 38], [35, 39, 102]], * Val accuracy / confusion: 54.81% / [[146, 57, 27], [49, 77, 49], [18, 35, 62]] ------------------------------ Epoch 230 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.796218 - Iter 024 / 025, Loss: 0.576636 * Train accuracy / confusion: 68.25% / [[286, 54, 12], [85, 151, 35], [19, 49, 109]], * Val accuracy / confusion: 56.73% / [[155, 55, 20], [58, 79, 38], [17, 37, 61]] ------------------------------ Epoch 231 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.688484 - Iter 024 / 025, Loss: 0.933330 * Train accuracy / confusion: 66.50% / [[295, 55, 10], [87, 141, 38], [18, 60, 96]], * Val accuracy / confusion: 55.77% / [[138, 72, 20], [50, 81, 44], [12, 32, 71]] ------------------------------ Epoch 232 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.919159 - Iter 024 / 025, Loss: 0.981400 * Train accuracy / confusion: 66.25% / [[292, 53, 13], [96, 143, 30], [26, 52, 95]], * Val accuracy / confusion: 58.85% / [[164, 56, 10], [64, 88, 23], [19, 42, 54]] ------------------------------ Epoch 233 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.723757 - Iter 024 / 025, Loss: 0.754041 * Train accuracy / confusion: 64.75% / [[274, 57, 22], [84, 134, 55], [21, 43, 110]], * Val accuracy / confusion: 56.54% / [[152, 68, 10], [58, 99, 18], [19, 53, 43]] ------------------------------ Epoch 234 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.668359 - Iter 024 / 025, Loss: 0.801658 * Train accuracy / confusion: 64.25% / [[275, 69, 11], [79, 150, 37], [27, 63, 89]], * Val accuracy / confusion: 57.31% / [[158, 57, 15], [58, 90, 27], [13, 52, 50]] ------------------------------ Epoch 235 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.613445 - Iter 024 / 025, Loss: 0.761641 * Train accuracy / confusion: 64.50% / [[285, 50, 19], [90, 140, 38], [20, 67, 91]], * Val accuracy / confusion: 56.73% / [[148, 70, 12], [60, 94, 21], [16, 46, 53]] ------------------------------ Epoch 236 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.798694 - Iter 024 / 025, Loss: 1.001772 * Train accuracy / confusion: 64.50% / [[264, 74, 17], [81, 144, 40], [24, 48, 108]], * Val accuracy / confusion: 57.31% / [[164, 41, 25], [57, 69, 49], [19, 31, 65]] ------------------------------ Epoch 237 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.925029 - Iter 024 / 025, Loss: 0.864729 * Train accuracy / confusion: 64.62% / [[272, 69, 13], [86, 151, 35], [27, 53, 94]], * Val accuracy / confusion: 56.54% / [[159, 56, 15], [64, 73, 38], [17, 36, 62]] ------------------------------ Epoch 238 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.596744 - Iter 024 / 025, Loss: 0.745607 * Train accuracy / confusion: 67.38% / [[286, 59, 12], [82, 156, 28], [26, 54, 97]], * Val accuracy / confusion: 57.31% / [[152, 67, 11], [53, 95, 27], [14, 50, 51]] ------------------------------ Epoch 239 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.760225 - Iter 024 / 025, Loss: 0.658648 * Train accuracy / confusion: 65.12% / [[284, 59, 18], [78, 148, 41], [21, 62, 89]], * Val accuracy / confusion: 60.58% / [[175, 41, 14], [64, 86, 25], [24, 37, 54]] ------------------------------ Epoch 240 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.980329 - Iter 024 / 025, Loss: 0.668291 * Train accuracy / confusion: 65.75% / [[284, 58, 17], [88, 139, 37], [24, 50, 103]], * Val accuracy / confusion: 55.38% / [[156, 68, 6], [59, 109, 7], [20, 72, 23]] ------------------------------ Epoch 241 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.630810 - Iter 024 / 025, Loss: 0.643001 * Train accuracy / confusion: 65.62% / [[275, 65, 20], [83, 152, 30], [20, 57, 98]], * Val accuracy / confusion: 52.31% / [[149, 33, 48], [49, 48, 78], [13, 27, 75]] ------------------------------ Epoch 242 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.907262 - Iter 024 / 025, Loss: 0.943134 * Train accuracy / confusion: 62.50% / [[280, 65, 14], [100, 127, 40], [33, 48, 93]], * Val accuracy / confusion: 57.50% / [[171, 45, 14], [70, 75, 30], [22, 40, 53]] ------------------------------ Epoch 243 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.687055 - Iter 024 / 025, Loss: 0.786876 * Train accuracy / confusion: 67.25% / [[272, 63, 18], [78, 159, 35], [19, 49, 107]], * Val accuracy / confusion: 57.69% / [[163, 62, 5], [63, 94, 18], [21, 51, 43]] ------------------------------ Epoch 244 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.789830 - Iter 024 / 025, Loss: 0.784334 * Train accuracy / confusion: 65.12% / [[289, 59, 13], [83, 140, 39], [35, 50, 92]], * Val accuracy / confusion: 57.88% / [[165, 51, 14], [53, 86, 36], [19, 46, 50]] ------------------------------ Epoch 245 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.643613 - Iter 024 / 025, Loss: 0.842412 * Train accuracy / confusion: 65.00% / [[283, 57, 15], [94, 145, 32], [22, 60, 92]], * Val accuracy / confusion: 55.00% / [[155, 47, 28], [56, 62, 57], [15, 31, 69]] ------------------------------ Epoch 246 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.619906 - Iter 024 / 025, Loss: 0.474638 * Train accuracy / confusion: 64.75% / [[272, 77, 8], [77, 153, 38], [22, 60, 93]], * Val accuracy / confusion: 56.92% / [[159, 54, 17], [53, 75, 47], [19, 34, 62]] ------------------------------ Epoch 247 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.890430 - Iter 024 / 025, Loss: 0.924233 * Train accuracy / confusion: 64.25% / [[293, 49, 16], [97, 131, 36], [31, 57, 90]], * Val accuracy / confusion: 57.31% / [[163, 60, 7], [61, 99, 15], [23, 56, 36]] ------------------------------ Epoch 248 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.697796 - Iter 024 / 025, Loss: 0.597478 * Train accuracy / confusion: 64.12% / [[279, 61, 18], [85, 137, 43], [18, 62, 97]], * Val accuracy / confusion: 53.85% / [[142, 50, 38], [53, 57, 65], [18, 16, 81]] ------------------------------ Epoch 249 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.789092 - Iter 024 / 025, Loss: 0.712100 * Train accuracy / confusion: 63.12% / [[276, 65, 15], [91, 137, 40], [22, 62, 92]], * Val accuracy / confusion: 57.88% / [[161, 63, 6], [55, 113, 7], [19, 69, 27]] ------------------------------ Epoch 250 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.838307 - Iter 024 / 025, Loss: 0.895612 * Train accuracy / confusion: 65.88% / [[287, 56, 14], [87, 141, 38], [31, 47, 99]], * Val accuracy / confusion: 57.12% / [[150, 71, 9], [44, 107, 24], [15, 60, 40]] ------------------------------ Epoch 251 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.878819 - Iter 024 / 025, Loss: 0.768075 * Train accuracy / confusion: 64.62% / [[262, 80, 14], [63, 166, 40], [11, 75, 89]], * Val accuracy / confusion: 57.50% / [[151, 73, 6], [46, 110, 19], [17, 60, 38]] ------------------------------ Epoch 252 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.909996 - Iter 024 / 025, Loss: 0.753260 * Train accuracy / confusion: 64.88% / [[289, 48, 16], [94, 132, 45], [25, 53, 98]], * Val accuracy / confusion: 58.65% / [[163, 56, 11], [54, 91, 30], [18, 46, 51]] ------------------------------ Epoch 253 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.727153 - Iter 024 / 025, Loss: 1.007479 * Train accuracy / confusion: 64.50% / [[282, 64, 10], [93, 140, 35], [24, 58, 94]], * Val accuracy / confusion: 58.27% / [[167, 51, 12], [68, 66, 41], [19, 26, 70]] ------------------------------ Epoch 254 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.954379 - Iter 024 / 025, Loss: 0.853934 * Train accuracy / confusion: 62.00% / [[273, 66, 16], [89, 126, 53], [32, 48, 97]], * Val accuracy / confusion: 58.65% / [[146, 75, 9], [40, 108, 27], [15, 49, 51]] ------------------------------ Epoch 255 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.742814 - Iter 024 / 025, Loss: 0.709736 * Train accuracy / confusion: 62.75% / [[276, 60, 18], [90, 145, 33], [32, 65, 81]], * Val accuracy / confusion: 56.92% / [[148, 57, 25], [45, 84, 46], [15, 36, 64]] ------------------------------ Epoch 256 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.690801 - Iter 024 / 025, Loss: 0.732259 * Train accuracy / confusion: 64.88% / [[279, 62, 16], [89, 151, 29], [24, 61, 89]], * Val accuracy / confusion: 53.65% / [[159, 46, 25], [68, 51, 56], [28, 18, 69]] ------------------------------ Epoch 257 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.737096 - Iter 024 / 025, Loss: 0.886733 * Train accuracy / confusion: 65.00% / [[281, 58, 15], [85, 140, 47], [18, 57, 99]], * Val accuracy / confusion: 58.65% / [[172, 50, 8], [60, 95, 20], [23, 54, 38]] ------------------------------ Epoch 258 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.793711 - Iter 024 / 025, Loss: 0.825910 * Train accuracy / confusion: 66.25% / [[282, 68, 8], [92, 156, 20], [26, 56, 92]], * Val accuracy / confusion: 56.54% / [[152, 57, 21], [44, 78, 53], [14, 37, 64]] ------------------------------ Epoch 259 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.871040 - Iter 024 / 025, Loss: 0.727592 * Train accuracy / confusion: 66.12% / [[290, 49, 19], [95, 130, 42], [23, 43, 109]], * Val accuracy / confusion: 59.23% / [[172, 49, 9], [63, 75, 37], [20, 34, 61]] ------------------------------ Epoch 260 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.888317 - Iter 024 / 025, Loss: 0.737538 * Train accuracy / confusion: 66.88% / [[279, 71, 12], [70, 160, 31], [24, 57, 96]], * Val accuracy / confusion: 53.46% / [[155, 70, 5], [67, 85, 23], [23, 54, 38]] ------------------------------ Epoch 261 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.699349 - Iter 024 / 025, Loss: 0.805036 * Train accuracy / confusion: 66.88% / [[297, 48, 14], [87, 142, 35], [23, 58, 96]], * Val accuracy / confusion: 54.81% / [[156, 59, 15], [71, 75, 29], [20, 41, 54]] ------------------------------ Epoch 262 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.881083 - Iter 024 / 025, Loss: 0.640832 * Train accuracy / confusion: 67.25% / [[281, 60, 13], [82, 150, 36], [21, 50, 107]], * Val accuracy / confusion: 58.85% / [[167, 45, 18], [59, 73, 43], [20, 29, 66]] ------------------------------ Epoch 263 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.580367 - Iter 024 / 025, Loss: 0.816712 * Train accuracy / confusion: 64.50% / [[273, 62, 15], [86, 147, 40], [27, 54, 96]], * Val accuracy / confusion: 60.00% / [[160, 55, 15], [54, 94, 27], [17, 40, 58]] ------------------------------ Epoch 264 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.773775 - Iter 024 / 025, Loss: 0.656607 * Train accuracy / confusion: 66.12% / [[269, 72, 15], [87, 152, 29], [20, 48, 108]], * Val accuracy / confusion: 58.08% / [[158, 65, 7], [49, 110, 16], [27, 54, 34]] ------------------------------ Epoch 265 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.763802 - Iter 024 / 025, Loss: 0.678575 * Train accuracy / confusion: 65.62% / [[298, 43, 18], [98, 129, 35], [27, 54, 98]], * Val accuracy / confusion: 60.19% / [[168, 43, 19], [63, 75, 37], [17, 28, 70]] ------------------------------ Epoch 266 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.670648 - Iter 024 / 025, Loss: 0.862059 * Train accuracy / confusion: 66.88% / [[286, 64, 8], [75, 161, 30], [24, 64, 88]], * Val accuracy / confusion: 55.19% / [[150, 55, 25], [55, 73, 47], [15, 36, 64]] ------------------------------ Epoch 267 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.868113 - Iter 024 / 025, Loss: 0.716614 * Train accuracy / confusion: 64.00% / [[276, 60, 20], [88, 127, 55], [18, 47, 109]], * Val accuracy / confusion: 55.77% / [[139, 63, 28], [43, 94, 38], [8, 50, 57]] ------------------------------ Epoch 268 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.724212 - Iter 024 / 025, Loss: 0.834401 * Train accuracy / confusion: 66.38% / [[289, 52, 14], [95, 137, 35], [27, 46, 105]], * Val accuracy / confusion: 60.19% / [[149, 75, 6], [47, 115, 13], [14, 52, 49]] ------------------------------ Epoch 269 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.672675 - Iter 024 / 025, Loss: 0.829761 * Train accuracy / confusion: 66.50% / [[283, 56, 15], [75, 148, 44], [21, 57, 101]], * Val accuracy / confusion: 56.54% / [[170, 27, 33], [75, 45, 55], [18, 18, 79]] ------------------------------ Epoch 270 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.803442 - Iter 024 / 025, Loss: 0.681743 * Train accuracy / confusion: 67.75% / [[295, 53, 13], [83, 145, 35], [24, 50, 102]], * Val accuracy / confusion: 58.08% / [[184, 36, 10], [86, 63, 26], [29, 31, 55]] ------------------------------ Epoch 271 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.620707 - Iter 024 / 025, Loss: 0.665762 * Train accuracy / confusion: 67.00% / [[292, 53, 13], [85, 150, 34], [22, 57, 94]], * Val accuracy / confusion: 57.69% / [[148, 62, 20], [48, 93, 34], [17, 39, 59]] ------------------------------ Epoch 272 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.723086 - Iter 024 / 025, Loss: 0.752804 * Train accuracy / confusion: 65.00% / [[277, 64, 16], [80, 144, 39], [25, 56, 99]], * Val accuracy / confusion: 56.73% / [[154, 56, 20], [53, 86, 36], [21, 39, 55]] ------------------------------ Epoch 273 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.751471 - Iter 024 / 025, Loss: 0.839718 * Train accuracy / confusion: 65.00% / [[278, 68, 12], [97, 140, 31], [26, 46, 102]], * Val accuracy / confusion: 53.65% / [[120, 73, 37], [40, 80, 55], [10, 26, 79]] ------------------------------ Epoch 274 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.712086 - Iter 024 / 025, Loss: 0.648874 * Train accuracy / confusion: 63.75% / [[294, 49, 15], [111, 117, 37], [31, 47, 99]], * Val accuracy / confusion: 58.65% / [[184, 27, 19], [84, 57, 34], [20, 31, 64]] ------------------------------ Epoch 275 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.660814 - Iter 024 / 025, Loss: 0.870986 * Train accuracy / confusion: 64.88% / [[269, 60, 22], [89, 139, 40], [17, 53, 111]], * Val accuracy / confusion: 55.19% / [[137, 80, 13], [44, 103, 28], [13, 55, 47]] ------------------------------ Epoch 276 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.576282 - Iter 024 / 025, Loss: 0.774611 * Train accuracy / confusion: 66.12% / [[292, 50, 11], [102, 141, 28], [30, 50, 96]], * Val accuracy / confusion: 59.04% / [[174, 46, 10], [70, 75, 30], [21, 36, 58]] ------------------------------ Epoch 277 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.750009 - Iter 024 / 025, Loss: 0.684563 * Train accuracy / confusion: 67.00% / [[286, 59, 13], [86, 141, 39], [22, 45, 109]], * Val accuracy / confusion: 57.12% / [[148, 60, 22], [51, 81, 43], [13, 34, 68]] ------------------------------ Epoch 278 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.479828 - Iter 024 / 025, Loss: 0.779310 * Train accuracy / confusion: 66.62% / [[283, 55, 16], [88, 150, 32], [22, 54, 100]], * Val accuracy / confusion: 58.46% / [[161, 51, 18], [59, 94, 22], [22, 44, 49]] ------------------------------ Epoch 279 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.674488 - Iter 024 / 025, Loss: 0.747859 * Train accuracy / confusion: 66.62% / [[279, 63, 15], [74, 160, 30], [32, 53, 94]], * Val accuracy / confusion: 57.50% / [[158, 61, 11], [56, 99, 20], [19, 54, 42]] ------------------------------ Epoch 280 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.751788 - Iter 024 / 025, Loss: 0.628279 * Train accuracy / confusion: 65.50% / [[285, 53, 20], [94, 134, 36], [22, 51, 105]], * Val accuracy / confusion: 55.00% / [[135, 72, 23], [43, 105, 27], [15, 54, 46]] ------------------------------ Epoch 281 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.810956 - Iter 024 / 025, Loss: 0.863901 * Train accuracy / confusion: 68.50% / [[282, 67, 9], [79, 158, 30], [25, 42, 108]], * Val accuracy / confusion: 55.96% / [[151, 62, 17], [53, 71, 51], [13, 33, 69]] ------------------------------ Epoch 282 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.661459 - Iter 024 / 025, Loss: 0.931552 * Train accuracy / confusion: 68.62% / [[290, 54, 13], [68, 169, 32], [18, 66, 90]], * Val accuracy / confusion: 58.27% / [[182, 34, 14], [78, 71, 26], [24, 41, 50]] ------------------------------ Epoch 283 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.722910 - Iter 024 / 025, Loss: 0.736529 * Train accuracy / confusion: 66.38% / [[293, 51, 13], [86, 136, 44], [25, 50, 102]], * Val accuracy / confusion: 55.58% / [[179, 41, 10], [84, 73, 18], [22, 56, 37]] ------------------------------ Epoch 284 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.838977 - Iter 024 / 025, Loss: 0.736086 * Train accuracy / confusion: 67.50% / [[274, 68, 15], [83, 160, 26], [20, 48, 106]], * Val accuracy / confusion: 55.77% / [[144, 52, 34], [60, 80, 35], [17, 32, 66]] ------------------------------ Epoch 285 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.899156 - Iter 024 / 025, Loss: 0.686969 * Train accuracy / confusion: 66.50% / [[283, 60, 15], [84, 147, 36], [21, 52, 102]], * Val accuracy / confusion: 58.85% / [[152, 66, 12], [46, 111, 18], [16, 56, 43]] ------------------------------ Epoch 286 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.980469 - Iter 024 / 025, Loss: 0.661507 * Train accuracy / confusion: 66.88% / [[286, 56, 12], [88, 152, 28], [27, 54, 97]], * Val accuracy / confusion: 55.38% / [[143, 57, 30], [58, 81, 36], [15, 36, 64]] ------------------------------ Epoch 287 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.693638 - Iter 024 / 025, Loss: 0.752097 * Train accuracy / confusion: 64.00% / [[276, 66, 17], [75, 148, 44], [25, 61, 88]], * Val accuracy / confusion: 55.00% / [[160, 49, 21], [66, 62, 47], [19, 32, 64]] ------------------------------ Epoch 288 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.612485 - Iter 024 / 025, Loss: 0.836399 * Train accuracy / confusion: 65.38% / [[280, 62, 16], [93, 144, 31], [18, 57, 99]], * Val accuracy / confusion: 54.42% / [[166, 45, 19], [67, 65, 43], [21, 42, 52]] ------------------------------ Epoch 289 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.744732 - Iter 024 / 025, Loss: 0.747629 * Train accuracy / confusion: 65.50% / [[286, 56, 16], [91, 141, 34], [26, 53, 97]], * Val accuracy / confusion: 58.27% / [[162, 60, 8], [56, 110, 9], [19, 65, 31]] ------------------------------ Epoch 290 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.779429 - Iter 024 / 025, Loss: 1.012294 * Train accuracy / confusion: 67.62% / [[296, 51, 11], [91, 140, 35], [27, 44, 105]], * Val accuracy / confusion: 57.50% / [[150, 61, 19], [48, 88, 39], [13, 41, 61]] ------------------------------ Epoch 291 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.769230 - Iter 024 / 025, Loss: 0.547305 * Train accuracy / confusion: 64.50% / [[270, 73, 13], [82, 157, 32], [18, 66, 89]], * Val accuracy / confusion: 57.12% / [[180, 42, 8], [82, 67, 26], [29, 36, 50]] ------------------------------ Epoch 292 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.936892 - Iter 024 / 025, Loss: 0.886447 * Train accuracy / confusion: 65.00% / [[293, 46, 13], [105, 124, 42], [23, 51, 103]], * Val accuracy / confusion: 58.85% / [[150, 68, 12], [44, 93, 38], [15, 37, 63]] ------------------------------ Epoch 293 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.750236 - Iter 024 / 025, Loss: 0.778360 * Train accuracy / confusion: 66.50% / [[268, 72, 15], [69, 157, 41], [22, 49, 107]], * Val accuracy / confusion: 55.58% / [[160, 48, 22], [74, 73, 28], [24, 35, 56]] ------------------------------ Epoch 294 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.688282 - Iter 024 / 025, Loss: 0.581465 * Train accuracy / confusion: 69.38% / [[290, 49, 13], [83, 149, 36], [23, 41, 116]], * Val accuracy / confusion: 57.12% / [[168, 52, 10], [68, 86, 21], [20, 52, 43]] ------------------------------ Epoch 295 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.749935 - Iter 024 / 025, Loss: 0.949538 * Train accuracy / confusion: 64.88% / [[281, 58, 17], [96, 143, 30], [26, 54, 95]], * Val accuracy / confusion: 59.81% / [[173, 48, 9], [64, 87, 24], [23, 41, 51]] ------------------------------ Epoch 296 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.662924 - Iter 024 / 025, Loss: 0.694425 * Train accuracy / confusion: 68.62% / [[287, 53, 15], [84, 153, 29], [24, 46, 109]], * Val accuracy / confusion: 54.62% / [[134, 70, 26], [36, 90, 49], [11, 44, 60]] ------------------------------ Epoch 297 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.823683 - Iter 024 / 025, Loss: 0.784844 * Train accuracy / confusion: 65.38% / [[271, 67, 16], [78, 156, 36], [27, 53, 96]], * Val accuracy / confusion: 57.50% / [[146, 62, 22], [51, 90, 34], [12, 40, 63]] ------------------------------ Epoch 298 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.834304 - Iter 024 / 025, Loss: 0.680478 * Train accuracy / confusion: 67.75% / [[287, 56, 12], [84, 147, 37], [25, 44, 108]], * Val accuracy / confusion: 56.92% / [[192, 37, 1], [92, 78, 5], [35, 54, 26]] ------------------------------ Epoch 299 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.631836 - Iter 024 / 025, Loss: 0.906425 * Train accuracy / confusion: 65.75% / [[279, 58, 18], [85, 142, 37], [21, 55, 105]], * Val accuracy / confusion: 57.88% / [[141, 78, 11], [45, 109, 21], [13, 51, 51]] ------------------------------ Epoch 300 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.806189 - Iter 024 / 025, Loss: 0.825501 * Train accuracy / confusion: 64.12% / [[271, 65, 16], [91, 143, 35], [24, 56, 99]], * Val accuracy / confusion: 53.27% / [[140, 45, 45], [41, 64, 70], [10, 32, 73]] ------------------------------ Epoch 301 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.640495 - Iter 024 / 025, Loss: 0.982903 * Train accuracy / confusion: 64.88% / [[289, 51, 16], [99, 131, 36], [23, 56, 99]], * Val accuracy / confusion: 56.73% / [[175, 34, 21], [74, 59, 42], [26, 28, 61]] ------------------------------ Epoch 302 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.613377 - Iter 024 / 025, Loss: 0.866579 * Train accuracy / confusion: 65.38% / [[283, 59, 11], [90, 149, 33], [29, 55, 91]], * Val accuracy / confusion: 58.08% / [[166, 56, 8], [65, 93, 17], [18, 54, 43]] ------------------------------ Epoch 303 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.781949 - Iter 024 / 025, Loss: 0.680029 * Train accuracy / confusion: 66.00% / [[286, 61, 12], [84, 149, 33], [27, 55, 93]], * Val accuracy / confusion: 59.04% / [[170, 51, 9], [80, 77, 18], [24, 31, 60]] ------------------------------ Epoch 304 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.696007 - Iter 024 / 025, Loss: 0.674985 * Train accuracy / confusion: 64.25% / [[278, 69, 11], [96, 134, 39], [20, 51, 102]], * Val accuracy / confusion: 56.92% / [[145, 74, 11], [56, 94, 25], [18, 40, 57]] ------------------------------ Epoch 305 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.671828 - Iter 024 / 025, Loss: 0.997914 * Train accuracy / confusion: 67.50% / [[287, 52, 17], [84, 148, 36], [22, 49, 105]], * Val accuracy / confusion: 55.96% / [[175, 50, 5], [81, 77, 17], [29, 47, 39]] ------------------------------ Epoch 306 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.868088 - Iter 024 / 025, Loss: 0.701982 * Train accuracy / confusion: 65.38% / [[286, 55, 16], [97, 141, 27], [22, 60, 96]], * Val accuracy / confusion: 57.88% / [[143, 72, 15], [46, 92, 37], [11, 38, 66]] ------------------------------ Epoch 307 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.699513 - Iter 024 / 025, Loss: 0.643577 * Train accuracy / confusion: 67.25% / [[275, 66, 17], [75, 156, 38], [13, 53, 107]], * Val accuracy / confusion: 55.77% / [[172, 45, 13], [77, 72, 26], [26, 43, 46]] ------------------------------ Epoch 308 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.895382 - Iter 024 / 025, Loss: 0.751041 * Train accuracy / confusion: 66.62% / [[277, 72, 10], [78, 151, 33], [21, 53, 105]], * Val accuracy / confusion: 54.81% / [[145, 63, 22], [60, 84, 31], [11, 48, 56]] ------------------------------ Epoch 309 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.688303 - Iter 024 / 025, Loss: 0.740830 * Train accuracy / confusion: 69.12% / [[301, 52, 8], [83, 144, 37], [19, 48, 108]], * Val accuracy / confusion: 54.42% / [[171, 46, 13], [77, 58, 40], [32, 29, 54]] ------------------------------ Epoch 310 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.831057 - Iter 024 / 025, Loss: 0.696210 * Train accuracy / confusion: 65.38% / [[279, 53, 18], [88, 142, 41], [25, 52, 102]], * Val accuracy / confusion: 55.77% / [[139, 76, 15], [58, 93, 24], [15, 42, 58]] ------------------------------ Epoch 311 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.735450 - Iter 024 / 025, Loss: 0.520708 * Train accuracy / confusion: 68.00% / [[279, 60, 14], [73, 155, 42], [13, 54, 110]], * Val accuracy / confusion: 53.85% / [[137, 73, 20], [51, 86, 38], [14, 44, 57]] ------------------------------ Epoch 312 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.814448 - Iter 024 / 025, Loss: 0.831278 * Train accuracy / confusion: 67.38% / [[294, 58, 8], [83, 156, 26], [21, 65, 89]], * Val accuracy / confusion: 58.08% / [[170, 56, 4], [70, 94, 11], [20, 57, 38]] ------------------------------ Epoch 313 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.668547 - Iter 024 / 025, Loss: 0.808028 * Train accuracy / confusion: 66.88% / [[284, 54, 20], [84, 142, 38], [24, 45, 109]], * Val accuracy / confusion: 58.46% / [[170, 56, 4], [63, 89, 23], [27, 43, 45]] ------------------------------ Epoch 314 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.698945 - Iter 024 / 025, Loss: 0.469095 * Train accuracy / confusion: 67.38% / [[287, 58, 11], [83, 148, 37], [18, 54, 104]], * Val accuracy / confusion: 55.58% / [[160, 60, 10], [69, 80, 26], [25, 41, 49]] ------------------------------ Epoch 315 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.693855 - Iter 024 / 025, Loss: 0.720571 * Train accuracy / confusion: 64.38% / [[271, 70, 15], [87, 151, 27], [22, 64, 93]], * Val accuracy / confusion: 55.96% / [[140, 76, 14], [38, 103, 34], [16, 51, 48]] ------------------------------ Epoch 316 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.707255 - Iter 024 / 025, Loss: 0.730678 * Train accuracy / confusion: 65.25% / [[274, 59, 22], [85, 150, 34], [20, 58, 98]], * Val accuracy / confusion: 48.85% / [[102, 65, 63], [28, 67, 80], [4, 26, 85]] ------------------------------ Epoch 317 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.638125 - Iter 024 / 025, Loss: 0.682378 * Train accuracy / confusion: 63.50% / [[272, 68, 19], [87, 140, 38], [22, 58, 96]], * Val accuracy / confusion: 52.50% / [[186, 40, 4], [97, 54, 24], [35, 47, 33]] ------------------------------ Epoch 318 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.668128 - Iter 024 / 025, Loss: 0.728860 * Train accuracy / confusion: 68.12% / [[295, 51, 12], [92, 144, 33], [25, 42, 106]], * Val accuracy / confusion: 60.00% / [[162, 55, 13], [56, 85, 34], [20, 30, 65]] ------------------------------ Epoch 319 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.790848 - Iter 024 / 025, Loss: 0.797918 * Train accuracy / confusion: 67.25% / [[275, 76, 11], [86, 156, 26], [24, 39, 107]], * Val accuracy / confusion: 53.08% / [[140, 74, 16], [58, 86, 31], [13, 52, 50]] ------------------------------ Epoch 320 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.929933 - Iter 024 / 025, Loss: 0.711325 * Train accuracy / confusion: 66.25% / [[284, 57, 14], [93, 137, 35], [22, 49, 109]], * Val accuracy / confusion: 54.04% / [[170, 47, 13], [81, 55, 39], [24, 35, 56]] ------------------------------ Epoch 321 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.740246 - Iter 024 / 025, Loss: 0.627984 * Train accuracy / confusion: 68.38% / [[292, 53, 13], [86, 154, 30], [20, 51, 101]], * Val accuracy / confusion: 52.50% / [[132, 87, 11], [54, 88, 33], [15, 47, 53]] ------------------------------ Epoch 322 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.743452 - Iter 024 / 025, Loss: 0.776342 * Train accuracy / confusion: 65.00% / [[281, 67, 11], [81, 156, 27], [21, 73, 83]], * Val accuracy / confusion: 61.15% / [[173, 27, 30], [64, 69, 42], [19, 20, 76]] ------------------------------ Epoch 323 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.673145 - Iter 024 / 025, Loss: 0.886914 * Train accuracy / confusion: 67.00% / [[291, 55, 13], [87, 132, 47], [12, 50, 113]], * Val accuracy / confusion: 57.50% / [[171, 53, 6], [68, 90, 17], [25, 52, 38]] ------------------------------ Epoch 324 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.725747 - Iter 024 / 025, Loss: 0.625081 * Train accuracy / confusion: 67.62% / [[279, 58, 13], [76, 160, 35], [17, 60, 102]], * Val accuracy / confusion: 56.54% / [[167, 46, 17], [70, 82, 23], [21, 49, 45]] ------------------------------ Epoch 325 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.849299 - Iter 024 / 025, Loss: 0.582517 * Train accuracy / confusion: 66.38% / [[273, 69, 10], [77, 150, 43], [16, 54, 108]], * Val accuracy / confusion: 60.19% / [[181, 46, 3], [71, 92, 12], [29, 46, 40]] ------------------------------ Epoch 326 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.789141 - Iter 024 / 025, Loss: 0.570010 * Train accuracy / confusion: 66.75% / [[290, 59, 9], [90, 145, 29], [19, 60, 99]], * Val accuracy / confusion: 55.00% / [[151, 63, 16], [59, 67, 49], [17, 30, 68]] ------------------------------ Epoch 327 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.737940 - Iter 024 / 025, Loss: 0.785835 * Train accuracy / confusion: 65.00% / [[274, 69, 12], [78, 154, 37], [16, 68, 92]], * Val accuracy / confusion: 55.00% / [[144, 70, 16], [56, 91, 28], [18, 46, 51]] ------------------------------ Epoch 328 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.883392 - Iter 024 / 025, Loss: 0.755570 * Train accuracy / confusion: 65.88% / [[287, 57, 13], [86, 139, 40], [24, 53, 101]], * Val accuracy / confusion: 52.69% / [[151, 64, 15], [69, 86, 20], [18, 60, 37]] ------------------------------ Epoch 329 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.739427 - Iter 024 / 025, Loss: 1.092129 * Train accuracy / confusion: 67.25% / [[280, 73, 8], [75, 161, 31], [25, 50, 97]], * Val accuracy / confusion: 53.27% / [[154, 56, 20], [68, 69, 38], [24, 37, 54]] ------------------------------ Epoch 330 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.866750 - Iter 024 / 025, Loss: 0.593265 * Train accuracy / confusion: 67.12% / [[277, 58, 19], [79, 153, 41], [24, 42, 107]], * Val accuracy / confusion: 57.69% / [[156, 57, 17], [56, 89, 30], [18, 42, 55]] ------------------------------ Epoch 331 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.623206 - Iter 024 / 025, Loss: 0.745806 * Train accuracy / confusion: 69.88% / [[284, 53, 16], [83, 170, 18], [18, 53, 105]], * Val accuracy / confusion: 56.73% / [[156, 44, 30], [59, 66, 50], [17, 25, 73]] ------------------------------ Epoch 332 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.780293 - Iter 024 / 025, Loss: 0.680748 * Train accuracy / confusion: 67.62% / [[280, 59, 17], [75, 157, 36], [22, 50, 104]], * Val accuracy / confusion: 56.92% / [[157, 59, 14], [59, 80, 36], [16, 40, 59]] ------------------------------ Epoch 333 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.036870 - Iter 024 / 025, Loss: 0.655843 * Train accuracy / confusion: 67.38% / [[288, 59, 12], [88, 146, 34], [15, 53, 105]], * Val accuracy / confusion: 56.73% / [[140, 81, 9], [46, 100, 29], [14, 46, 55]] ------------------------------ Epoch 334 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.805772 - Iter 024 / 025, Loss: 0.766267 * Train accuracy / confusion: 63.75% / [[292, 52, 13], [101, 128, 39], [25, 60, 90]], * Val accuracy / confusion: 58.65% / [[167, 60, 3], [65, 99, 11], [19, 57, 39]] ------------------------------ Epoch 335 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.703541 - Iter 024 / 025, Loss: 0.544942 * Train accuracy / confusion: 68.50% / [[282, 68, 7], [64, 165, 36], [21, 56, 101]], * Val accuracy / confusion: 58.08% / [[169, 50, 11], [78, 77, 20], [19, 40, 56]] ------------------------------ Epoch 336 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.782727 - Iter 024 / 025, Loss: 0.593225 * Train accuracy / confusion: 71.38% / [[292, 44, 17], [80, 159, 31], [15, 42, 120]], * Val accuracy / confusion: 57.12% / [[132, 79, 19], [36, 101, 38], [12, 39, 64]] ------------------------------ Epoch 337 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.751791 - Iter 024 / 025, Loss: 0.631575 * Train accuracy / confusion: 65.75% / [[272, 74, 13], [77, 156, 36], [22, 52, 98]], * Val accuracy / confusion: 55.38% / [[162, 65, 3], [68, 97, 10], [20, 66, 29]] ------------------------------ Epoch 338 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.685016 - Iter 024 / 025, Loss: 0.758397 * Train accuracy / confusion: 68.38% / [[304, 46, 9], [88, 145, 31], [25, 54, 98]], * Val accuracy / confusion: 55.19% / [[156, 39, 35], [70, 60, 45], [20, 24, 71]] ------------------------------ Epoch 339 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.089913 - Iter 024 / 025, Loss: 0.586979 * Train accuracy / confusion: 68.62% / [[280, 62, 20], [67, 177, 21], [20, 61, 92]], * Val accuracy / confusion: 57.50% / [[168, 56, 6], [68, 90, 17], [25, 49, 41]] ------------------------------ Epoch 340 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.727028 - Iter 024 / 025, Loss: 0.876801 * Train accuracy / confusion: 69.50% / [[296, 48, 13], [79, 153, 35], [26, 43, 107]], * Val accuracy / confusion: 55.96% / [[158, 55, 17], [58, 78, 39], [19, 41, 55]] ------------------------------ Epoch 341 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.821872 - Iter 024 / 025, Loss: 0.759622 * Train accuracy / confusion: 68.50% / [[286, 59, 12], [76, 155, 36], [23, 46, 107]], * Val accuracy / confusion: 53.85% / [[150, 59, 21], [61, 73, 41], [18, 40, 57]] ------------------------------ Epoch 342 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.899554 - Iter 024 / 025, Loss: 0.586324 * Train accuracy / confusion: 68.88% / [[292, 48, 15], [88, 149, 32], [17, 49, 110]], * Val accuracy / confusion: 56.54% / [[146, 77, 7], [49, 94, 32], [16, 45, 54]] ------------------------------ Epoch 343 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.834492 - Iter 024 / 025, Loss: 0.674258 * Train accuracy / confusion: 66.62% / [[276, 64, 14], [81, 144, 41], [16, 51, 113]], * Val accuracy / confusion: 56.15% / [[164, 55, 11], [65, 79, 31], [20, 46, 49]] ------------------------------ Epoch 344 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.654048 - Iter 024 / 025, Loss: 0.610448 * Train accuracy / confusion: 69.75% / [[288, 55, 11], [75, 166, 28], [19, 54, 104]], * Val accuracy / confusion: 56.73% / [[163, 54, 13], [57, 78, 40], [22, 39, 54]] ------------------------------ Epoch 345 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.545576 - Iter 024 / 025, Loss: 0.662636 * Train accuracy / confusion: 67.75% / [[289, 54, 10], [86, 154, 32], [24, 52, 99]], * Val accuracy / confusion: 54.81% / [[154, 57, 19], [57, 78, 40], [12, 50, 53]] ------------------------------ Epoch 346 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.641710 - Iter 024 / 025, Loss: 0.702689 * Train accuracy / confusion: 65.62% / [[282, 59, 13], [100, 132, 35], [19, 49, 111]], * Val accuracy / confusion: 56.54% / [[143, 61, 26], [56, 83, 36], [18, 29, 68]] ------------------------------ Epoch 347 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.872464 - Iter 024 / 025, Loss: 0.791647 * Train accuracy / confusion: 66.12% / [[285, 55, 19], [94, 133, 37], [24, 42, 111]], * Val accuracy / confusion: 57.50% / [[161, 56, 13], [69, 85, 21], [15, 47, 53]] ------------------------------ Epoch 348 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.954119 - Iter 024 / 025, Loss: 0.661768 * Train accuracy / confusion: 66.50% / [[284, 57, 11], [83, 151, 34], [26, 57, 97]], * Val accuracy / confusion: 58.08% / [[180, 32, 18], [83, 67, 25], [21, 39, 55]] ------------------------------ Epoch 349 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.983607 - Iter 024 / 025, Loss: 0.865817 * Train accuracy / confusion: 66.75% / [[294, 44, 16], [89, 140, 40], [25, 52, 100]], * Val accuracy / confusion: 58.46% / [[165, 56, 9], [70, 100, 5], [23, 53, 39]] ------------------------------ Epoch 350 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.705907 - Iter 024 / 025, Loss: 0.737624 * Train accuracy / confusion: 67.88% / [[297, 46, 11], [87, 151, 30], [19, 64, 95]], * Val accuracy / confusion: 57.69% / [[148, 57, 25], [46, 76, 53], [14, 25, 76]] ------------------------------ Epoch 351 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.680633 - Iter 024 / 025, Loss: 0.645583 * Train accuracy / confusion: 71.25% / [[293, 49, 13], [78, 156, 34], [20, 36, 121]], * Val accuracy / confusion: 54.04% / [[149, 62, 19], [59, 87, 29], [17, 53, 45]] ------------------------------ Epoch 352 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.637033 - Iter 024 / 025, Loss: 0.779756 * Train accuracy / confusion: 67.50% / [[282, 58, 16], [81, 161, 27], [18, 60, 97]], * Val accuracy / confusion: 55.58% / [[156, 58, 16], [67, 79, 29], [18, 43, 54]] ------------------------------ Epoch 353 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.478419 - Iter 024 / 025, Loss: 0.751532 * Train accuracy / confusion: 68.50% / [[291, 54, 9], [90, 148, 33], [23, 43, 109]], * Val accuracy / confusion: 56.92% / [[158, 58, 14], [71, 74, 30], [18, 33, 64]] ------------------------------ Epoch 354 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.009013 - Iter 024 / 025, Loss: 0.501888 * Train accuracy / confusion: 67.25% / [[282, 54, 16], [89, 145, 36], [19, 48, 111]], * Val accuracy / confusion: 55.58% / [[159, 61, 10], [68, 84, 23], [17, 52, 46]] ------------------------------ Epoch 355 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.705289 - Iter 024 / 025, Loss: 1.025775 * Train accuracy / confusion: 66.38% / [[282, 62, 9], [96, 143, 31], [21, 50, 106]], * Val accuracy / confusion: 58.27% / [[155, 57, 18], [53, 86, 36], [19, 34, 62]] ------------------------------ Epoch 356 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.723899 - Iter 024 / 025, Loss: 0.796819 * Train accuracy / confusion: 66.38% / [[268, 75, 11], [73, 160, 35], [19, 56, 103]], * Val accuracy / confusion: 58.27% / [[161, 55, 14], [64, 99, 12], [18, 54, 43]] ------------------------------ Epoch 357 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.857275 - Iter 024 / 025, Loss: 0.951937 * Train accuracy / confusion: 68.62% / [[296, 55, 6], [78, 158, 33], [20, 59, 95]], * Val accuracy / confusion: 59.23% / [[163, 60, 7], [59, 102, 14], [21, 51, 43]] ------------------------------ Epoch 358 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.668072 - Iter 024 / 025, Loss: 0.816959 * Train accuracy / confusion: 69.50% / [[297, 51, 12], [84, 148, 32], [21, 44, 111]], * Val accuracy / confusion: 56.35% / [[164, 50, 16], [71, 84, 20], [23, 47, 45]] ------------------------------ Epoch 359 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.889882 - Iter 024 / 025, Loss: 0.801001 * Train accuracy / confusion: 67.88% / [[289, 51, 19], [82, 149, 34], [30, 41, 105]], * Val accuracy / confusion: 55.58% / [[143, 64, 23], [57, 79, 39], [14, 34, 67]] ------------------------------ Epoch 360 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.696097 - Iter 024 / 025, Loss: 0.676841 * Train accuracy / confusion: 66.75% / [[286, 63, 13], [93, 148, 23], [23, 51, 100]], * Val accuracy / confusion: 57.88% / [[193, 29, 8], [102, 49, 24], [36, 20, 59]] ------------------------------ Epoch 361 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.529622 - Iter 024 / 025, Loss: 0.707471 * Train accuracy / confusion: 71.25% / [[315, 36, 13], [95, 136, 32], [22, 32, 119]], * Val accuracy / confusion: 56.54% / [[186, 41, 3], [91, 78, 6], [31, 54, 30]] ------------------------------ Epoch 362 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.706920 - Iter 024 / 025, Loss: 0.793861 * Train accuracy / confusion: 66.38% / [[287, 61, 11], [90, 145, 34], [22, 51, 99]], * Val accuracy / confusion: 58.08% / [[148, 68, 14], [50, 95, 30], [15, 41, 59]] ------------------------------ Epoch 363 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.838484 - Iter 024 / 025, Loss: 0.742128 * Train accuracy / confusion: 67.38% / [[290, 55, 11], [91, 150, 26], [24, 54, 99]], * Val accuracy / confusion: 52.88% / [[146, 45, 39], [70, 48, 57], [13, 21, 81]] ------------------------------ Epoch 364 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.676046 - Iter 024 / 025, Loss: 0.890274 * Train accuracy / confusion: 68.25% / [[288, 55, 13], [76, 149, 43], [20, 47, 109]], * Val accuracy / confusion: 56.35% / [[153, 57, 20], [63, 81, 31], [16, 40, 59]] ------------------------------ Epoch 365 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.716641 - Iter 024 / 025, Loss: 0.755846 * Train accuracy / confusion: 70.00% / [[294, 52, 15], [73, 163, 23], [19, 58, 103]], * Val accuracy / confusion: 55.38% / [[150, 55, 25], [56, 85, 34], [14, 48, 53]] ------------------------------ Epoch 366 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.623724 - Iter 024 / 025, Loss: 0.617356 * Train accuracy / confusion: 67.25% / [[291, 55, 11], [98, 135, 36], [16, 46, 112]], * Val accuracy / confusion: 55.19% / [[149, 66, 15], [61, 90, 24], [17, 50, 48]] ------------------------------ Epoch 367 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.731586 - Iter 024 / 025, Loss: 0.499270 * Train accuracy / confusion: 68.88% / [[290, 53, 10], [88, 150, 35], [21, 42, 111]], * Val accuracy / confusion: 57.69% / [[159, 55, 16], [60, 80, 35], [17, 37, 61]] ------------------------------ Epoch 368 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.638963 - Iter 024 / 025, Loss: 0.670779 * Train accuracy / confusion: 68.00% / [[283, 63, 11], [85, 150, 31], [20, 46, 111]], * Val accuracy / confusion: 55.19% / [[153, 58, 19], [71, 83, 21], [17, 47, 51]] ------------------------------ Epoch 369 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.589555 - Iter 024 / 025, Loss: 0.562103 * Train accuracy / confusion: 65.88% / [[287, 47, 17], [88, 144, 41], [22, 58, 96]], * Val accuracy / confusion: 54.62% / [[134, 61, 35], [46, 82, 47], [13, 34, 68]] ------------------------------ Epoch 370 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.568025 - Iter 024 / 025, Loss: 0.724347 * Train accuracy / confusion: 68.38% / [[284, 56, 12], [88, 149, 32], [22, 43, 114]], * Val accuracy / confusion: 55.00% / [[173, 45, 12], [94, 67, 14], [30, 39, 46]] ------------------------------ Epoch 371 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.691815 - Iter 024 / 025, Loss: 0.769288 * Train accuracy / confusion: 67.25% / [[276, 62, 17], [86, 154, 29], [19, 49, 108]], * Val accuracy / confusion: 56.15% / [[151, 67, 12], [51, 98, 26], [20, 52, 43]] ------------------------------ Epoch 372 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.719856 - Iter 024 / 025, Loss: 0.842481 * Train accuracy / confusion: 66.25% / [[266, 66, 14], [80, 153, 39], [23, 48, 111]], * Val accuracy / confusion: 54.42% / [[145, 64, 21], [59, 73, 43], [12, 38, 65]] ------------------------------ Epoch 373 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.697993 - Iter 024 / 025, Loss: 0.849713 * Train accuracy / confusion: 66.12% / [[271, 66, 17], [78, 157, 32], [21, 57, 101]], * Val accuracy / confusion: 56.15% / [[140, 76, 14], [48, 95, 32], [13, 45, 57]] ------------------------------ Epoch 374 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.806390 - Iter 024 / 025, Loss: 0.801498 * Train accuracy / confusion: 66.62% / [[282, 55, 13], [86, 156, 31], [25, 57, 95]], * Val accuracy / confusion: 55.00% / [[166, 61, 3], [70, 101, 4], [20, 76, 19]] ------------------------------ Epoch 375 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.921174 - Iter 024 / 025, Loss: 0.614121 * Train accuracy / confusion: 68.62% / [[278, 65, 10], [83, 162, 24], [23, 46, 109]], * Val accuracy / confusion: 57.69% / [[151, 60, 19], [47, 86, 42], [20, 32, 63]] ------------------------------ Epoch 376 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.666527 - Iter 024 / 025, Loss: 0.745082 * Train accuracy / confusion: 68.25% / [[299, 46, 16], [86, 141, 38], [28, 40, 106]], * Val accuracy / confusion: 59.62% / [[158, 63, 9], [52, 104, 19], [18, 49, 48]] ------------------------------ Epoch 377 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.677186 - Iter 024 / 025, Loss: 0.554202 * Train accuracy / confusion: 69.62% / [[282, 58, 17], [65, 161, 40], [18, 45, 114]], * Val accuracy / confusion: 55.00% / [[144, 65, 21], [50, 83, 42], [18, 38, 59]] ------------------------------ Epoch 378 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.814768 - Iter 024 / 025, Loss: 0.595613 * Train accuracy / confusion: 68.50% / [[284, 57, 14], [77, 162, 32], [24, 48, 102]], * Val accuracy / confusion: 57.31% / [[179, 37, 14], [83, 59, 33], [22, 33, 60]] ------------------------------ Epoch 379 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.988116 - Iter 024 / 025, Loss: 0.726931 * Train accuracy / confusion: 66.25% / [[279, 60, 15], [79, 152, 36], [26, 54, 99]], * Val accuracy / confusion: 56.54% / [[146, 73, 11], [48, 111, 16], [15, 63, 37]] ------------------------------ Epoch 380 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.856591 - Iter 024 / 025, Loss: 0.827899 * Train accuracy / confusion: 68.50% / [[276, 60, 19], [71, 165, 31], [25, 46, 107]], * Val accuracy / confusion: 54.23% / [[157, 54, 19], [74, 71, 30], [20, 41, 54]] ------------------------------ Epoch 381 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.938070 - Iter 024 / 025, Loss: 0.607238 * Train accuracy / confusion: 67.88% / [[285, 53, 18], [83, 149, 35], [23, 45, 109]], * Val accuracy / confusion: 57.12% / [[149, 67, 14], [55, 96, 24], [20, 43, 52]] ------------------------------ Epoch 382 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.852358 - Iter 024 / 025, Loss: 0.589064 * Train accuracy / confusion: 67.75% / [[294, 53, 11], [93, 142, 31], [21, 49, 106]], * Val accuracy / confusion: 58.85% / [[163, 58, 9], [67, 87, 21], [20, 39, 56]] ------------------------------ Epoch 383 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.552599 - Iter 024 / 025, Loss: 0.773284 * Train accuracy / confusion: 70.75% / [[282, 57, 11], [63, 163, 44], [19, 40, 121]], * Val accuracy / confusion: 57.69% / [[151, 67, 12], [53, 100, 22], [14, 52, 49]] ------------------------------ Epoch 384 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.644423 - Iter 024 / 025, Loss: 0.858218 * Train accuracy / confusion: 67.25% / [[277, 66, 12], [84, 151, 33], [15, 52, 110]], * Val accuracy / confusion: 54.81% / [[145, 66, 19], [48, 86, 41], [16, 45, 54]] ------------------------------ Epoch 385 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.634528 - Iter 024 / 025, Loss: 0.793881 * Train accuracy / confusion: 67.75% / [[297, 53, 9], [87, 143, 37], [21, 51, 102]], * Val accuracy / confusion: 53.08% / [[132, 68, 30], [52, 92, 31], [13, 50, 52]] ------------------------------ Epoch 386 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.747169 - Iter 024 / 025, Loss: 0.872802 * Train accuracy / confusion: 68.25% / [[271, 66, 20], [78, 152, 36], [16, 38, 123]], * Val accuracy / confusion: 57.31% / [[178, 46, 6], [75, 80, 20], [25, 50, 40]] ------------------------------ Epoch 387 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.834505 - Iter 024 / 025, Loss: 0.679863 * Train accuracy / confusion: 68.38% / [[273, 65, 17], [81, 167, 24], [19, 47, 107]], * Val accuracy / confusion: 57.31% / [[156, 62, 12], [59, 95, 21], [12, 56, 47]] ------------------------------ Epoch 388 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.500538 - Iter 024 / 025, Loss: 0.893024 * Train accuracy / confusion: 69.00% / [[286, 57, 13], [78, 148, 37], [11, 52, 118]], * Val accuracy / confusion: 55.58% / [[155, 58, 17], [68, 78, 29], [16, 43, 56]] ------------------------------ Epoch 389 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.719248 - Iter 024 / 025, Loss: 0.627150 * Train accuracy / confusion: 66.62% / [[277, 60, 15], [80, 149, 38], [23, 51, 107]], * Val accuracy / confusion: 57.50% / [[164, 59, 7], [69, 94, 12], [24, 50, 41]] ------------------------------ Epoch 390 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.785338 - Iter 024 / 025, Loss: 0.643087 * Train accuracy / confusion: 67.00% / [[287, 55, 17], [91, 140, 34], [19, 48, 109]], * Val accuracy / confusion: 54.62% / [[130, 81, 19], [50, 90, 35], [12, 39, 64]] ------------------------------ Epoch 391 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.877348 - Iter 024 / 025, Loss: 0.669763 * Train accuracy / confusion: 66.88% / [[294, 56, 9], [90, 135, 37], [31, 42, 106]], * Val accuracy / confusion: 59.04% / [[167, 53, 10], [67, 89, 19], [18, 46, 51]] ------------------------------ Epoch 392 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.706502 - Iter 024 / 025, Loss: 0.549238 * Train accuracy / confusion: 68.12% / [[271, 66, 14], [79, 164, 27], [22, 47, 110]], * Val accuracy / confusion: 57.12% / [[162, 40, 28], [69, 58, 48], [16, 22, 77]] ------------------------------ Epoch 393 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.549149 - Iter 024 / 025, Loss: 0.702730 * Train accuracy / confusion: 69.88% / [[287, 53, 17], [76, 160, 33], [17, 45, 112]], * Val accuracy / confusion: 54.04% / [[154, 70, 6], [69, 86, 20], [23, 51, 41]] ------------------------------ Epoch 394 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.789259 - Iter 024 / 025, Loss: 0.729992 * Train accuracy / confusion: 67.50% / [[276, 62, 17], [81, 155, 31], [21, 48, 109]], * Val accuracy / confusion: 58.08% / [[166, 54, 10], [74, 86, 15], [21, 44, 50]] ------------------------------ Epoch 395 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.557711 - Iter 024 / 025, Loss: 0.801625 * Train accuracy / confusion: 69.50% / [[289, 55, 12], [83, 154, 28], [20, 46, 113]], * Val accuracy / confusion: 55.77% / [[155, 64, 11], [56, 88, 31], [17, 51, 47]] ------------------------------ Epoch 396 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.874263 - Iter 024 / 025, Loss: 0.587847 * Train accuracy / confusion: 66.25% / [[268, 75, 14], [73, 166, 28], [18, 62, 96]], * Val accuracy / confusion: 56.35% / [[154, 59, 17], [69, 79, 27], [20, 35, 60]] ------------------------------ Epoch 397 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.725674 - Iter 024 / 025, Loss: 0.626348 * Train accuracy / confusion: 67.50% / [[299, 44, 18], [97, 125, 40], [20, 41, 116]], * Val accuracy / confusion: 57.69% / [[171, 52, 7], [71, 92, 12], [25, 53, 37]] ------------------------------ Epoch 398 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.861623 - Iter 024 / 025, Loss: 0.625775 * Train accuracy / confusion: 69.62% / [[279, 63, 13], [72, 163, 31], [23, 41, 115]], * Val accuracy / confusion: 53.27% / [[164, 46, 20], [77, 58, 40], [25, 35, 55]] ------------------------------ Epoch 399 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.623201 - Iter 024 / 025, Loss: 0.548609 * Train accuracy / confusion: 67.12% / [[279, 56, 19], [84, 143, 41], [18, 45, 115]], * Val accuracy / confusion: 56.35% / [[165, 52, 13], [75, 75, 25], [26, 36, 53]] ------------------------------ Epoch 400 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.752131 - Iter 024 / 025, Loss: 0.577016 * Train accuracy / confusion: 66.75% / [[277, 61, 18], [78, 159, 33], [23, 53, 98]], * Val accuracy / confusion: 56.15% / [[179, 43, 8], [83, 68, 24], [25, 45, 45]] ------------------------------ Epoch 401 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.513106 - Iter 024 / 025, Loss: 0.633912 * Train accuracy / confusion: 66.88% / [[289, 55, 13], [90, 141, 35], [23, 49, 105]], * Val accuracy / confusion: 54.62% / [[164, 53, 13], [79, 69, 27], [21, 43, 51]] ------------------------------ Epoch 402 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.006767 - Iter 024 / 025, Loss: 0.752957 * Train accuracy / confusion: 67.50% / [[290, 58, 10], [83, 145, 39], [16, 54, 105]], * Val accuracy / confusion: 58.46% / [[163, 47, 20], [63, 77, 35], [18, 33, 64]] ------------------------------ Epoch 403 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.791926 - Iter 024 / 025, Loss: 0.567745 * Train accuracy / confusion: 68.12% / [[288, 51, 19], [86, 142, 36], [20, 43, 115]], * Val accuracy / confusion: 55.77% / [[169, 50, 11], [77, 75, 23], [22, 47, 46]] ------------------------------ Epoch 404 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.671012 - Iter 024 / 025, Loss: 0.863925 * Train accuracy / confusion: 68.75% / [[276, 78, 8], [61, 160, 41], [15, 47, 114]], * Val accuracy / confusion: 59.04% / [[145, 72, 13], [49, 108, 18], [16, 45, 54]] ------------------------------ Epoch 405 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.795150 - Iter 024 / 025, Loss: 0.827988 * Train accuracy / confusion: 68.50% / [[291, 43, 21], [87, 145, 37], [20, 44, 112]], * Val accuracy / confusion: 54.81% / [[127, 93, 10], [43, 112, 20], [12, 57, 46]] ------------------------------ Epoch 406 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.691630 - Iter 024 / 025, Loss: 1.133582 * Train accuracy / confusion: 68.62% / [[284, 60, 10], [79, 158, 33], [16, 53, 107]], * Val accuracy / confusion: 57.69% / [[141, 71, 18], [47, 102, 26], [13, 45, 57]] ------------------------------ Epoch 407 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.709042 - Iter 024 / 025, Loss: 0.616651 * Train accuracy / confusion: 68.25% / [[285, 63, 10], [83, 153, 31], [21, 46, 108]], * Val accuracy / confusion: 56.15% / [[139, 76, 15], [45, 98, 32], [17, 43, 55]] ------------------------------ Epoch 408 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.672566 - Iter 024 / 025, Loss: 0.626692 * Train accuracy / confusion: 67.62% / [[290, 50, 15], [97, 136, 38], [20, 39, 115]], * Val accuracy / confusion: 57.31% / [[182, 38, 10], [78, 65, 32], [20, 44, 51]] ------------------------------ Epoch 409 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.607363 - Iter 024 / 025, Loss: 0.835313 * Train accuracy / confusion: 67.75% / [[273, 65, 19], [74, 155, 37], [15, 48, 114]], * Val accuracy / confusion: 52.31% / [[126, 73, 31], [51, 91, 33], [14, 46, 55]] ------------------------------ Epoch 410 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.603848 - Iter 024 / 025, Loss: 0.754438 * Train accuracy / confusion: 66.88% / [[283, 61, 11], [82, 165, 22], [21, 68, 87]], * Val accuracy / confusion: 53.65% / [[143, 62, 25], [47, 84, 44], [14, 49, 52]] ------------------------------ Epoch 411 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.509751 - Iter 024 / 025, Loss: 0.770245 * Train accuracy / confusion: 69.88% / [[289, 55, 15], [76, 150, 39], [17, 39, 120]], * Val accuracy / confusion: 54.04% / [[163, 52, 15], [82, 68, 25], [21, 44, 50]] ------------------------------ Epoch 412 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.677071 - Iter 024 / 025, Loss: 0.763348 * Train accuracy / confusion: 68.88% / [[293, 56, 13], [90, 145, 25], [20, 45, 113]], * Val accuracy / confusion: 58.27% / [[165, 52, 13], [68, 81, 26], [22, 36, 57]] ------------------------------ Epoch 413 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.671628 - Iter 024 / 025, Loss: 0.830977 * Train accuracy / confusion: 67.62% / [[281, 55, 21], [85, 153, 34], [23, 41, 107]], * Val accuracy / confusion: 59.23% / [[160, 58, 12], [61, 96, 18], [20, 43, 52]] ------------------------------ Epoch 414 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.570813 - Iter 024 / 025, Loss: 0.717326 * Train accuracy / confusion: 69.25% / [[273, 71, 10], [69, 168, 31], [18, 47, 113]], * Val accuracy / confusion: 58.46% / [[174, 37, 19], [74, 58, 43], [21, 22, 72]] ------------------------------ Epoch 415 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.838085 - Iter 024 / 025, Loss: 0.887547 * Train accuracy / confusion: 68.38% / [[277, 63, 13], [77, 151, 39], [24, 37, 119]], * Val accuracy / confusion: 55.96% / [[142, 70, 18], [52, 90, 33], [13, 43, 59]] ------------------------------ Epoch 416 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.812785 - Iter 024 / 025, Loss: 0.752900 * Train accuracy / confusion: 70.00% / [[304, 36, 15], [78, 143, 47], [22, 42, 113]], * Val accuracy / confusion: 52.69% / [[135, 87, 8], [56, 98, 21], [10, 64, 41]] ------------------------------ Epoch 417 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.839302 - Iter 024 / 025, Loss: 0.819819 * Train accuracy / confusion: 65.75% / [[277, 62, 16], [88, 151, 30], [28, 50, 98]], * Val accuracy / confusion: 57.50% / [[163, 53, 14], [64, 86, 25], [17, 48, 50]] ------------------------------ Epoch 418 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.054405 - Iter 024 / 025, Loss: 0.644076 * Train accuracy / confusion: 70.12% / [[276, 69, 13], [68, 180, 19], [18, 52, 105]], * Val accuracy / confusion: 57.88% / [[151, 59, 20], [53, 81, 41], [15, 31, 69]] ------------------------------ Epoch 419 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.593845 - Iter 024 / 025, Loss: 1.044934 * Train accuracy / confusion: 71.62% / [[300, 45, 13], [78, 153, 37], [20, 34, 120]], * Val accuracy / confusion: 56.15% / [[170, 52, 8], [74, 80, 21], [20, 53, 42]] ------------------------------ Epoch 420 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.590135 - Iter 024 / 025, Loss: 0.609736 * Train accuracy / confusion: 70.50% / [[289, 55, 15], [69, 170, 30], [14, 53, 105]], * Val accuracy / confusion: 57.12% / [[157, 60, 13], [69, 89, 17], [18, 46, 51]] ------------------------------ Epoch 421 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.664508 - Iter 024 / 025, Loss: 0.744490 * Train accuracy / confusion: 68.75% / [[281, 59, 19], [73, 158, 35], [21, 43, 111]], * Val accuracy / confusion: 55.77% / [[153, 61, 16], [63, 76, 36], [22, 32, 61]] ------------------------------ Epoch 422 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.811210 - Iter 024 / 025, Loss: 0.692219 * Train accuracy / confusion: 69.00% / [[276, 64, 14], [75, 171, 20], [24, 51, 105]], * Val accuracy / confusion: 58.65% / [[159, 52, 19], [62, 91, 22], [16, 44, 55]] ------------------------------ Epoch 423 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.695059 - Iter 024 / 025, Loss: 0.606639 * Train accuracy / confusion: 70.12% / [[300, 45, 12], [87, 144, 40], [16, 39, 117]], * Val accuracy / confusion: 58.85% / [[164, 56, 10], [61, 103, 11], [20, 56, 39]] ------------------------------ Epoch 424 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.842200 - Iter 024 / 025, Loss: 0.582980 * Train accuracy / confusion: 69.50% / [[290, 56, 13], [76, 158, 33], [21, 45, 108]], * Val accuracy / confusion: 53.08% / [[170, 56, 4], [83, 80, 12], [32, 57, 26]] ------------------------------ Epoch 425 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.624870 - Iter 024 / 025, Loss: 0.736702 * Train accuracy / confusion: 68.75% / [[287, 55, 15], [76, 155, 37], [18, 49, 108]], * Val accuracy / confusion: 56.92% / [[155, 58, 17], [60, 92, 23], [18, 48, 49]] ------------------------------ Epoch 426 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.587125 - Iter 024 / 025, Loss: 0.600326 * Train accuracy / confusion: 69.88% / [[290, 55, 8], [81, 161, 27], [24, 46, 108]], * Val accuracy / confusion: 54.23% / [[149, 67, 14], [63, 79, 33], [17, 44, 54]] ------------------------------ Epoch 427 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.851828 - Iter 024 / 025, Loss: 0.732343 * Train accuracy / confusion: 69.25% / [[294, 51, 12], [82, 147, 38], [20, 43, 113]], * Val accuracy / confusion: 55.19% / [[147, 59, 24], [52, 89, 34], [9, 55, 51]] ------------------------------ Epoch 428 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.654153 - Iter 024 / 025, Loss: 0.882076 * Train accuracy / confusion: 69.12% / [[282, 63, 17], [77, 167, 23], [18, 49, 104]], * Val accuracy / confusion: 55.96% / [[170, 52, 8], [77, 78, 20], [25, 47, 43]] ------------------------------ Epoch 429 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.806730 - Iter 024 / 025, Loss: 0.689116 * Train accuracy / confusion: 67.25% / [[279, 60, 18], [84, 144, 40], [12, 48, 115]], * Val accuracy / confusion: 54.62% / [[142, 66, 22], [51, 77, 47], [13, 37, 65]] ------------------------------ Epoch 430 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.551104 - Iter 024 / 025, Loss: 0.731463 * Train accuracy / confusion: 71.00% / [[295, 53, 10], [79, 165, 20], [20, 50, 108]], * Val accuracy / confusion: 54.81% / [[154, 47, 29], [54, 68, 53], [24, 28, 63]] ------------------------------ Epoch 431 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.624294 - Iter 024 / 025, Loss: 0.727898 * Train accuracy / confusion: 68.75% / [[287, 53, 17], [77, 159, 31], [19, 53, 104]], * Val accuracy / confusion: 58.85% / [[174, 47, 9], [66, 81, 28], [22, 42, 51]] ------------------------------ Epoch 432 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.725845 - Iter 024 / 025, Loss: 0.605775 * Train accuracy / confusion: 70.00% / [[273, 56, 21], [66, 168, 37], [22, 38, 119]], * Val accuracy / confusion: 55.58% / [[144, 73, 13], [51, 104, 20], [9, 65, 41]] ------------------------------ Epoch 433 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.482299 - Iter 024 / 025, Loss: 0.867872 * Train accuracy / confusion: 67.62% / [[289, 49, 14], [85, 147, 37], [22, 52, 105]], * Val accuracy / confusion: 56.15% / [[171, 48, 11], [72, 78, 25], [27, 45, 43]] ------------------------------ Epoch 434 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.504015 - Iter 024 / 025, Loss: 0.769239 * Train accuracy / confusion: 67.38% / [[284, 52, 24], [70, 155, 36], [23, 56, 100]], * Val accuracy / confusion: 55.77% / [[172, 35, 23], [80, 57, 38], [22, 32, 61]] ------------------------------ Epoch 435 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.678806 - Iter 024 / 025, Loss: 0.835116 * Train accuracy / confusion: 71.38% / [[299, 41, 17], [85, 149, 29], [16, 41, 123]], * Val accuracy / confusion: 59.04% / [[138, 66, 26], [39, 95, 41], [8, 33, 74]] ------------------------------ Epoch 436 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.623030 - Iter 024 / 025, Loss: 0.743279 * Train accuracy / confusion: 71.25% / [[293, 49, 9], [70, 163, 37], [19, 46, 114]], * Val accuracy / confusion: 57.69% / [[176, 38, 16], [74, 77, 24], [22, 46, 47]] ------------------------------ Epoch 437 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.628469 - Iter 024 / 025, Loss: 0.825945 * Train accuracy / confusion: 67.62% / [[281, 69, 7], [84, 146, 36], [14, 49, 114]], * Val accuracy / confusion: 55.38% / [[167, 48, 15], [77, 65, 33], [23, 36, 56]] ------------------------------ Epoch 438 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.839022 - Iter 024 / 025, Loss: 0.513607 * Train accuracy / confusion: 71.12% / [[296, 49, 13], [72, 161, 35], [15, 47, 112]], * Val accuracy / confusion: 55.38% / [[156, 64, 10], [61, 90, 24], [19, 54, 42]] ------------------------------ Epoch 439 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.881520 - Iter 024 / 025, Loss: 0.726498 * Train accuracy / confusion: 68.25% / [[278, 66, 13], [76, 158, 30], [15, 54, 110]], * Val accuracy / confusion: 56.54% / [[138, 77, 15], [42, 98, 35], [8, 49, 58]] ------------------------------ Epoch 440 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.646157 - Iter 024 / 025, Loss: 0.681000 * Train accuracy / confusion: 70.25% / [[297, 46, 11], [72, 158, 40], [22, 47, 107]], * Val accuracy / confusion: 57.12% / [[155, 65, 10], [56, 96, 23], [15, 54, 46]] ------------------------------ Epoch 441 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.897495 - Iter 024 / 025, Loss: 0.686033 * Train accuracy / confusion: 68.00% / [[281, 61, 16], [83, 156, 26], [15, 55, 107]], * Val accuracy / confusion: 57.88% / [[161, 51, 18], [66, 73, 36], [17, 31, 67]] ------------------------------ Epoch 442 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.712109 - Iter 024 / 025, Loss: 0.770592 * Train accuracy / confusion: 67.38% / [[287, 45, 23], [88, 142, 40], [23, 42, 110]], * Val accuracy / confusion: 55.96% / [[161, 54, 15], [63, 81, 31], [19, 47, 49]] ------------------------------ Epoch 443 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.663626 - Iter 024 / 025, Loss: 0.701537 * Train accuracy / confusion: 70.75% / [[291, 58, 11], [76, 166, 27], [20, 42, 109]], * Val accuracy / confusion: 56.73% / [[159, 58, 13], [65, 89, 21], [26, 42, 47]] ------------------------------ Epoch 444 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.784968 - Iter 024 / 025, Loss: 0.768380 * Train accuracy / confusion: 69.75% / [[289, 59, 13], [89, 154, 24], [13, 44, 115]], * Val accuracy / confusion: 55.58% / [[146, 59, 25], [60, 91, 24], [13, 50, 52]] ------------------------------ Epoch 445 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.095355 - Iter 024 / 025, Loss: 0.566252 * Train accuracy / confusion: 70.75% / [[293, 43, 19], [75, 158, 34], [20, 43, 115]], * Val accuracy / confusion: 55.58% / [[157, 59, 14], [68, 79, 28], [21, 41, 53]] ------------------------------ Epoch 446 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.601506 - Iter 024 / 025, Loss: 0.563670 * Train accuracy / confusion: 69.25% / [[288, 59, 8], [77, 160, 31], [19, 52, 106]], * Val accuracy / confusion: 57.31% / [[160, 56, 14], [57, 80, 38], [20, 37, 58]] ------------------------------ Epoch 447 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.719243 - Iter 024 / 025, Loss: 0.832683 * Train accuracy / confusion: 68.00% / [[289, 53, 11], [86, 147, 36], [24, 46, 108]], * Val accuracy / confusion: 57.12% / [[136, 83, 11], [47, 113, 15], [12, 55, 48]] ------------------------------ Epoch 448 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.714146 - Iter 024 / 025, Loss: 0.631077 * Train accuracy / confusion: 70.00% / [[275, 65, 13], [67, 175, 29], [21, 45, 110]], * Val accuracy / confusion: 56.92% / [[175, 46, 9], [81, 67, 27], [27, 34, 54]] ------------------------------ Epoch 449 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.015351 - Iter 024 / 025, Loss: 0.620472 * Train accuracy / confusion: 69.62% / [[281, 58, 17], [74, 161, 31], [23, 40, 115]], * Val accuracy / confusion: 56.15% / [[143, 76, 11], [47, 106, 22], [13, 59, 43]] ------------------------------ Epoch 450 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.709932 - Iter 024 / 025, Loss: 0.867877 * Train accuracy / confusion: 66.88% / [[283, 63, 9], [86, 150, 29], [21, 57, 102]], * Val accuracy / confusion: 55.96% / [[166, 49, 15], [81, 67, 27], [21, 36, 58]] ------------------------------ Epoch 451 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.814670 - Iter 024 / 025, Loss: 0.541839 * Train accuracy / confusion: 68.88% / [[306, 43, 10], [92, 132, 43], [20, 41, 113]], * Val accuracy / confusion: 54.42% / [[145, 59, 26], [49, 82, 44], [14, 45, 56]] ------------------------------ Epoch 452 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.788483 - Iter 024 / 025, Loss: 0.694915 * Train accuracy / confusion: 68.12% / [[288, 56, 12], [82, 158, 26], [27, 52, 99]], * Val accuracy / confusion: 60.19% / [[164, 56, 10], [65, 92, 18], [17, 41, 57]] ------------------------------ Epoch 453 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.839216 - Iter 024 / 025, Loss: 1.027369 * Train accuracy / confusion: 68.88% / [[276, 63, 15], [69, 170, 34], [18, 50, 105]], * Val accuracy / confusion: 55.00% / [[166, 48, 16], [73, 70, 32], [25, 40, 50]] ------------------------------ Epoch 454 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.619319 - Iter 024 / 025, Loss: 0.852948 * Train accuracy / confusion: 71.38% / [[291, 48, 13], [77, 163, 28], [18, 45, 117]], * Val accuracy / confusion: 53.27% / [[131, 66, 33], [40, 77, 58], [14, 32, 69]] ------------------------------ Epoch 455 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.608262 - Iter 024 / 025, Loss: 0.771674 * Train accuracy / confusion: 71.38% / [[292, 44, 17], [75, 167, 31], [22, 40, 112]], * Val accuracy / confusion: 57.88% / [[176, 44, 10], [72, 82, 21], [25, 47, 43]] ------------------------------ Epoch 456 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.624380 - Iter 024 / 025, Loss: 0.729655 * Train accuracy / confusion: 68.75% / [[293, 59, 8], [91, 150, 24], [20, 48, 107]], * Val accuracy / confusion: 57.88% / [[148, 70, 12], [54, 104, 17], [15, 51, 49]] ------------------------------ Epoch 457 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.738747 - Iter 024 / 025, Loss: 0.676584 * Train accuracy / confusion: 70.12% / [[296, 50, 11], [83, 156, 29], [19, 47, 109]], * Val accuracy / confusion: 58.08% / [[146, 63, 21], [45, 93, 37], [12, 40, 63]] ------------------------------ Epoch 458 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.774454 - Iter 024 / 025, Loss: 0.608617 * Train accuracy / confusion: 70.62% / [[284, 62, 11], [68, 172, 28], [21, 45, 109]], * Val accuracy / confusion: 56.54% / [[172, 44, 14], [73, 86, 16], [23, 56, 36]] ------------------------------ Epoch 459 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.710490 - Iter 024 / 025, Loss: 0.558187 * Train accuracy / confusion: 67.88% / [[292, 46, 13], [93, 147, 29], [27, 49, 104]], * Val accuracy / confusion: 56.35% / [[154, 67, 9], [59, 94, 22], [22, 48, 45]] ------------------------------ Epoch 460 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.729670 - Iter 024 / 025, Loss: 0.530309 * Train accuracy / confusion: 68.62% / [[273, 72, 13], [73, 158, 37], [17, 39, 118]], * Val accuracy / confusion: 57.12% / [[146, 69, 15], [61, 100, 14], [12, 52, 51]] ------------------------------ Epoch 461 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.538462 - Iter 024 / 025, Loss: 0.832005 * Train accuracy / confusion: 71.00% / [[295, 54, 9], [80, 150, 34], [18, 37, 123]], * Val accuracy / confusion: 56.35% / [[146, 59, 25], [43, 79, 53], [17, 30, 68]] ------------------------------ Epoch 462 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.546037 - Iter 024 / 025, Loss: 0.566736 * Train accuracy / confusion: 67.62% / [[279, 59, 19], [67, 153, 45], [21, 48, 109]], * Val accuracy / confusion: 55.77% / [[175, 45, 10], [80, 63, 32], [22, 41, 52]] ------------------------------ Epoch 463 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.583617 - Iter 024 / 025, Loss: 0.825099 * Train accuracy / confusion: 70.00% / [[302, 37, 16], [91, 148, 26], [26, 44, 110]], * Val accuracy / confusion: 55.00% / [[127, 82, 21], [40, 98, 37], [13, 41, 61]] ------------------------------ Epoch 464 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.665891 - Iter 024 / 025, Loss: 0.660178 * Train accuracy / confusion: 71.62% / [[284, 57, 17], [71, 166, 28], [15, 39, 123]], * Val accuracy / confusion: 59.04% / [[194, 30, 6], [92, 76, 7], [37, 41, 37]] ------------------------------ Epoch 465 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.557618 - Iter 024 / 025, Loss: 0.685942 * Train accuracy / confusion: 72.25% / [[301, 49, 6], [72, 164, 33], [23, 39, 113]], * Val accuracy / confusion: 57.31% / [[154, 46, 30], [52, 70, 53], [15, 26, 74]] ------------------------------ Epoch 466 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.748996 - Iter 024 / 025, Loss: 0.744780 * Train accuracy / confusion: 67.50% / [[293, 45, 17], [92, 138, 36], [19, 51, 109]], * Val accuracy / confusion: 53.08% / [[148, 70, 12], [66, 87, 22], [20, 54, 41]] ------------------------------ Epoch 467 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.699361 - Iter 024 / 025, Loss: 0.688871 * Train accuracy / confusion: 70.50% / [[276, 59, 16], [66, 177, 27], [19, 49, 111]], * Val accuracy / confusion: 57.88% / [[148, 62, 20], [49, 91, 35], [7, 46, 62]] ------------------------------ Epoch 468 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.382391 - Iter 024 / 025, Loss: 0.538630 * Train accuracy / confusion: 71.00% / [[294, 55, 11], [72, 168, 28], [25, 41, 106]], * Val accuracy / confusion: 55.77% / [[139, 75, 16], [52, 99, 24], [17, 46, 52]] ------------------------------ Epoch 469 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.692516 - Iter 024 / 025, Loss: 0.691412 * Train accuracy / confusion: 69.38% / [[276, 62, 20], [77, 167, 23], [16, 47, 112]], * Val accuracy / confusion: 56.15% / [[152, 66, 12], [59, 90, 26], [17, 48, 50]] ------------------------------ Epoch 470 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.753651 - Iter 024 / 025, Loss: 0.975143 * Train accuracy / confusion: 68.88% / [[282, 49, 22], [77, 166, 28], [23, 50, 103]], * Val accuracy / confusion: 55.38% / [[134, 78, 18], [46, 106, 23], [12, 55, 48]] ------------------------------ Epoch 471 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.665828 - Iter 024 / 025, Loss: 0.637437 * Train accuracy / confusion: 67.25% / [[292, 52, 13], [97, 133, 37], [22, 41, 113]], * Val accuracy / confusion: 54.81% / [[150, 60, 20], [60, 85, 30], [21, 44, 50]] ------------------------------ Epoch 472 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.915090 - Iter 024 / 025, Loss: 0.819478 * Train accuracy / confusion: 67.25% / [[282, 63, 11], [81, 154, 34], [21, 52, 102]], * Val accuracy / confusion: 56.35% / [[154, 58, 18], [63, 82, 30], [19, 39, 57]] ------------------------------ Epoch 473 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.844208 - Iter 024 / 025, Loss: 0.667509 * Train accuracy / confusion: 69.62% / [[300, 53, 7], [93, 150, 23], [23, 44, 107]], * Val accuracy / confusion: 55.38% / [[159, 60, 11], [64, 73, 38], [20, 39, 56]] ------------------------------ Epoch 474 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.968986 - Iter 024 / 025, Loss: 0.646233 * Train accuracy / confusion: 70.38% / [[296, 50, 13], [79, 156, 32], [26, 37, 111]], * Val accuracy / confusion: 57.50% / [[160, 63, 7], [71, 100, 4], [17, 59, 39]] ------------------------------ Epoch 475 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.897541 - Iter 024 / 025, Loss: 0.801294 * Train accuracy / confusion: 68.25% / [[288, 59, 13], [86, 150, 27], [24, 45, 108]], * Val accuracy / confusion: 60.96% / [[185, 35, 10], [82, 75, 18], [22, 36, 57]] ------------------------------ Epoch 476 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.502307 - Iter 024 / 025, Loss: 0.709742 * Train accuracy / confusion: 72.00% / [[298, 50, 10], [79, 155, 30], [16, 39, 123]], * Val accuracy / confusion: 54.62% / [[146, 71, 13], [57, 89, 29], [20, 46, 49]] ------------------------------ Epoch 477 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.618841 - Iter 024 / 025, Loss: 0.475062 * Train accuracy / confusion: 70.12% / [[291, 51, 14], [79, 157, 33], [20, 42, 113]], * Val accuracy / confusion: 58.65% / [[165, 62, 3], [62, 99, 14], [24, 50, 41]] ------------------------------ Epoch 478 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.562244 - Iter 024 / 025, Loss: 0.537736 * Train accuracy / confusion: 70.38% / [[292, 58, 7], [82, 155, 28], [22, 40, 116]], * Val accuracy / confusion: 57.50% / [[155, 60, 15], [58, 99, 18], [20, 50, 45]] ------------------------------ Epoch 479 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.689816 - Iter 024 / 025, Loss: 0.469346 * Train accuracy / confusion: 69.00% / [[284, 61, 10], [81, 158, 26], [16, 54, 110]], * Val accuracy / confusion: 59.04% / [[162, 58, 10], [59, 93, 23], [22, 41, 52]] ------------------------------ Epoch 480 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.639126 - Iter 024 / 025, Loss: 0.759094 * Train accuracy / confusion: 71.50% / [[295, 48, 13], [81, 149, 37], [16, 33, 128]], * Val accuracy / confusion: 58.46% / [[157, 56, 17], [58, 83, 34], [20, 31, 64]] ------------------------------ Epoch 481 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.774490 - Iter 024 / 025, Loss: 0.704731 * Train accuracy / confusion: 67.75% / [[283, 62, 13], [80, 160, 27], [18, 58, 99]], * Val accuracy / confusion: 56.73% / [[143, 56, 31], [50, 78, 47], [14, 27, 74]] ------------------------------ Epoch 482 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.686120 - Iter 024 / 025, Loss: 0.900059 * Train accuracy / confusion: 68.88% / [[289, 51, 13], [92, 151, 29], [18, 46, 111]], * Val accuracy / confusion: 57.88% / [[169, 49, 12], [71, 80, 24], [27, 36, 52]] ------------------------------ Epoch 483 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.779058 - Iter 024 / 025, Loss: 0.698691 * Train accuracy / confusion: 68.38% / [[279, 71, 9], [71, 157, 34], [19, 49, 111]], * Val accuracy / confusion: 56.54% / [[168, 38, 24], [62, 62, 51], [20, 31, 64]] ------------------------------ Epoch 484 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.588457 - Iter 024 / 025, Loss: 0.661609 * Train accuracy / confusion: 68.88% / [[290, 55, 12], [77, 152, 41], [23, 41, 109]], * Val accuracy / confusion: 56.54% / [[153, 60, 17], [60, 92, 23], [18, 48, 49]] ------------------------------ Epoch 485 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.839587 - Iter 024 / 025, Loss: 0.651003 * Train accuracy / confusion: 70.38% / [[282, 60, 15], [69, 174, 26], [19, 48, 107]], * Val accuracy / confusion: 57.31% / [[182, 40, 8], [78, 70, 27], [31, 38, 46]] ------------------------------ Epoch 486 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.806688 - Iter 024 / 025, Loss: 0.714140 * Train accuracy / confusion: 68.12% / [[284, 54, 15], [84, 146, 39], [24, 39, 115]], * Val accuracy / confusion: 56.54% / [[152, 70, 8], [61, 97, 17], [15, 55, 45]] ------------------------------ Epoch 487 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.732688 - Iter 024 / 025, Loss: 0.940940 * Train accuracy / confusion: 70.88% / [[284, 57, 12], [73, 170, 27], [16, 48, 113]], * Val accuracy / confusion: 57.50% / [[167, 36, 27], [70, 67, 38], [24, 26, 65]] ------------------------------ Epoch 488 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.570629 - Iter 024 / 025, Loss: 0.595611 * Train accuracy / confusion: 69.62% / [[295, 46, 13], [82, 153, 36], [25, 41, 109]], * Val accuracy / confusion: 54.62% / [[133, 63, 34], [44, 91, 40], [13, 42, 60]] ------------------------------ Epoch 489 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.971033 - Iter 024 / 025, Loss: 0.649237 * Train accuracy / confusion: 69.62% / [[279, 64, 11], [71, 167, 31], [21, 45, 111]], * Val accuracy / confusion: 55.77% / [[169, 54, 7], [77, 80, 18], [28, 46, 41]] ------------------------------ Epoch 490 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.694997 - Iter 024 / 025, Loss: 0.658025 * Train accuracy / confusion: 70.50% / [[301, 52, 9], [74, 154, 36], [18, 47, 109]], * Val accuracy / confusion: 51.92% / [[125, 67, 38], [50, 82, 43], [13, 39, 63]] ------------------------------ Epoch 491 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.868866 - Iter 024 / 025, Loss: 0.828435 * Train accuracy / confusion: 68.25% / [[285, 54, 14], [81, 153, 35], [24, 46, 108]], * Val accuracy / confusion: 54.81% / [[168, 51, 11], [80, 70, 25], [30, 38, 47]] ------------------------------ Epoch 492 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.586306 - Iter 024 / 025, Loss: 0.689862 * Train accuracy / confusion: 69.00% / [[292, 54, 10], [81, 153, 35], [16, 52, 107]], * Val accuracy / confusion: 55.58% / [[160, 43, 27], [71, 66, 38], [18, 34, 63]] ------------------------------ Epoch 493 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.706959 - Iter 024 / 025, Loss: 0.811446 * Train accuracy / confusion: 70.50% / [[289, 50, 14], [81, 160, 32], [23, 36, 115]], * Val accuracy / confusion: 56.15% / [[148, 64, 18], [56, 94, 25], [19, 46, 50]] ------------------------------ Epoch 494 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.721962 - Iter 024 / 025, Loss: 0.786350 * Train accuracy / confusion: 71.62% / [[279, 61, 14], [72, 169, 29], [15, 36, 125]], * Val accuracy / confusion: 55.38% / [[172, 45, 13], [83, 59, 33], [21, 37, 57]] ------------------------------ Epoch 495 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.718242 - Iter 024 / 025, Loss: 0.638696 * Train accuracy / confusion: 69.88% / [[284, 57, 17], [76, 154, 37], [23, 31, 121]], * Val accuracy / confusion: 57.88% / [[160, 55, 15], [60, 93, 22], [23, 44, 48]] ------------------------------ Epoch 496 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.673134 - Iter 024 / 025, Loss: 0.635962 * Train accuracy / confusion: 68.75% / [[294, 49, 10], [83, 157, 30], [26, 52, 99]], * Val accuracy / confusion: 55.77% / [[148, 66, 16], [57, 88, 30], [18, 43, 54]] ------------------------------ Epoch 497 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.656383 - Iter 024 / 025, Loss: 0.511235 * Train accuracy / confusion: 70.25% / [[277, 61, 13], [77, 162, 30], [19, 38, 123]], * Val accuracy / confusion: 55.96% / [[160, 37, 33], [65, 58, 52], [19, 23, 73]] ------------------------------ Epoch 498 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.754887 - Iter 024 / 025, Loss: 0.767223 * Train accuracy / confusion: 68.75% / [[284, 57, 15], [79, 159, 29], [20, 50, 107]], * Val accuracy / confusion: 55.38% / [[140, 80, 10], [50, 107, 18], [16, 58, 41]] ------------------------------ Epoch 499 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.825072 - Iter 024 / 025, Loss: 0.681441 * Train accuracy / confusion: 68.75% / [[289, 52, 12], [87, 146, 36], [20, 43, 115]], * Val accuracy / confusion: 56.73% / [[135, 80, 15], [43, 113, 19], [16, 52, 47]] ------------------------------ Epoch 500 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.733753 - Iter 024 / 025, Loss: 0.633813 * Train accuracy / confusion: 70.00% / [[283, 51, 18], [72, 157, 39], [8, 52, 120]], * Val accuracy / confusion: 56.15% / [[142, 72, 16], [58, 97, 20], [17, 45, 53]] ------------------------------ Epoch 501 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.098037 - Iter 024 / 025, Loss: 0.821510 * Train accuracy / confusion: 70.00% / [[288, 59, 10], [75, 167, 25], [22, 49, 105]], * Val accuracy / confusion: 56.15% / [[149, 75, 6], [57, 99, 19], [16, 55, 44]] ------------------------------ Epoch 502 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.625252 - Iter 024 / 025, Loss: 0.694954 * Train accuracy / confusion: 71.50% / [[284, 59, 13], [67, 165, 36], [16, 37, 123]], * Val accuracy / confusion: 56.92% / [[141, 71, 18], [36, 105, 34], [11, 54, 50]] ------------------------------ Epoch 503 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.575899 - Iter 024 / 025, Loss: 0.682356 * Train accuracy / confusion: 70.25% / [[298, 49, 11], [85, 152, 28], [16, 49, 112]], * Val accuracy / confusion: 55.77% / [[152, 64, 14], [58, 84, 33], [19, 42, 54]] ------------------------------ Epoch 504 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.772190 - Iter 024 / 025, Loss: 0.616031 * Train accuracy / confusion: 69.50% / [[286, 52, 16], [87, 160, 24], [20, 45, 110]], * Val accuracy / confusion: 56.54% / [[188, 35, 7], [102, 62, 11], [37, 34, 44]] ------------------------------ Epoch 505 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.529158 - Iter 024 / 025, Loss: 0.535902 * Train accuracy / confusion: 71.75% / [[288, 49, 22], [60, 170, 37], [18, 40, 116]], * Val accuracy / confusion: 58.27% / [[165, 51, 14], [66, 84, 25], [21, 40, 54]] ------------------------------ Epoch 506 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.708004 - Iter 024 / 025, Loss: 0.613035 * Train accuracy / confusion: 71.38% / [[291, 59, 4], [72, 166, 29], [22, 43, 114]], * Val accuracy / confusion: 55.19% / [[148, 68, 14], [53, 97, 25], [12, 61, 42]] ------------------------------ Epoch 507 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.771354 - Iter 024 / 025, Loss: 0.851679 * Train accuracy / confusion: 72.25% / [[290, 53, 11], [74, 160, 35], [19, 30, 128]], * Val accuracy / confusion: 57.12% / [[154, 66, 10], [64, 85, 26], [12, 45, 58]] ------------------------------ Epoch 508 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.603529 - Iter 024 / 025, Loss: 0.713110 * Train accuracy / confusion: 71.50% / [[297, 54, 9], [68, 177, 24], [24, 49, 98]], * Val accuracy / confusion: 55.58% / [[143, 78, 9], [57, 100, 18], [10, 59, 46]] ------------------------------ Epoch 509 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.424787 - Iter 024 / 025, Loss: 0.770838 * Train accuracy / confusion: 70.38% / [[288, 53, 15], [77, 158, 33], [22, 37, 117]], * Val accuracy / confusion: 56.92% / [[150, 57, 23], [51, 74, 50], [13, 30, 72]] ------------------------------ Epoch 510 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.551827 - Iter 024 / 025, Loss: 0.678720 * Train accuracy / confusion: 70.25% / [[308, 38, 10], [91, 143, 35], [27, 37, 111]], * Val accuracy / confusion: 56.73% / [[179, 48, 3], [85, 73, 17], [17, 55, 43]] ------------------------------ Epoch 511 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.629039 - Iter 024 / 025, Loss: 0.779341 * Train accuracy / confusion: 69.00% / [[267, 76, 9], [66, 175, 29], [16, 52, 110]], * Val accuracy / confusion: 58.46% / [[166, 44, 20], [58, 82, 35], [16, 43, 56]] ------------------------------ Epoch 512 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.846942 - Iter 024 / 025, Loss: 0.571833 * Train accuracy / confusion: 70.50% / [[292, 48, 14], [84, 156, 29], [26, 35, 116]], * Val accuracy / confusion: 55.38% / [[144, 71, 15], [54, 91, 30], [17, 45, 53]] ------------------------------ Epoch 513 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.701415 - Iter 024 / 025, Loss: 0.635991 * Train accuracy / confusion: 66.88% / [[272, 66, 15], [81, 150, 39], [14, 50, 113]], * Val accuracy / confusion: 57.88% / [[154, 66, 10], [57, 91, 27], [16, 43, 56]] ------------------------------ Epoch 514 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.946455 - Iter 024 / 025, Loss: 0.659031 * Train accuracy / confusion: 69.00% / [[275, 67, 13], [73, 171, 24], [18, 53, 106]], * Val accuracy / confusion: 56.73% / [[157, 40, 33], [61, 63, 51], [17, 23, 75]] ------------------------------ Epoch 515 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.636406 - Iter 024 / 025, Loss: 0.790505 * Train accuracy / confusion: 69.38% / [[293, 51, 16], [79, 158, 30], [26, 43, 104]], * Val accuracy / confusion: 56.35% / [[187, 38, 5], [92, 69, 14], [28, 50, 37]] ------------------------------ Epoch 516 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.650540 - Iter 024 / 025, Loss: 0.768928 * Train accuracy / confusion: 70.25% / [[286, 55, 10], [63, 169, 37], [25, 48, 107]], * Val accuracy / confusion: 60.00% / [[140, 63, 27], [42, 109, 24], [14, 38, 63]] ------------------------------ Epoch 517 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.733517 - Iter 024 / 025, Loss: 0.668051 * Train accuracy / confusion: 69.88% / [[285, 60, 10], [83, 163, 25], [23, 40, 111]], * Val accuracy / confusion: 55.96% / [[148, 62, 20], [54, 79, 42], [15, 36, 64]] ------------------------------ Epoch 518 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.561900 - Iter 024 / 025, Loss: 0.655238 * Train accuracy / confusion: 70.12% / [[281, 60, 13], [82, 156, 32], [11, 41, 124]], * Val accuracy / confusion: 56.73% / [[156, 53, 21], [59, 87, 29], [22, 41, 52]] ------------------------------ Epoch 519 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.592096 - Iter 024 / 025, Loss: 0.688581 * Train accuracy / confusion: 71.75% / [[297, 42, 16], [87, 155, 26], [17, 38, 122]], * Val accuracy / confusion: 58.27% / [[180, 45, 5], [83, 82, 10], [37, 37, 41]] ------------------------------ Epoch 520 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.761910 - Iter 024 / 025, Loss: 0.855817 * Train accuracy / confusion: 68.25% / [[285, 59, 15], [81, 160, 29], [23, 47, 101]], * Val accuracy / confusion: 54.62% / [[157, 52, 21], [64, 89, 22], [22, 55, 38]] ------------------------------ Epoch 521 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.601013 - Iter 024 / 025, Loss: 0.538509 * Train accuracy / confusion: 72.00% / [[308, 38, 9], [90, 158, 20], [23, 44, 110]], * Val accuracy / confusion: 58.85% / [[161, 57, 12], [52, 87, 36], [17, 40, 58]] ------------------------------ Epoch 522 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.550054 - Iter 024 / 025, Loss: 0.827584 * Train accuracy / confusion: 70.25% / [[287, 58, 10], [88, 164, 18], [15, 49, 111]], * Val accuracy / confusion: 55.00% / [[127, 75, 28], [38, 91, 46], [10, 37, 68]] ------------------------------ Epoch 523 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.657342 - Iter 024 / 025, Loss: 0.724326 * Train accuracy / confusion: 71.12% / [[294, 48, 13], [82, 166, 20], [27, 41, 109]], * Val accuracy / confusion: 55.96% / [[154, 50, 26], [62, 79, 34], [16, 41, 58]] ------------------------------ Epoch 524 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.630436 - Iter 024 / 025, Loss: 0.496295 * Train accuracy / confusion: 71.12% / [[295, 53, 12], [70, 159, 36], [20, 40, 115]], * Val accuracy / confusion: 56.73% / [[159, 58, 13], [68, 90, 17], [17, 52, 46]] ------------------------------ Epoch 525 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.902914 - Iter 024 / 025, Loss: 0.569721 * Train accuracy / confusion: 69.12% / [[292, 50, 13], [93, 152, 24], [19, 48, 109]], * Val accuracy / confusion: 58.46% / [[171, 51, 8], [80, 81, 14], [23, 40, 52]] ------------------------------ Epoch 526 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.767552 - Iter 024 / 025, Loss: 0.591425 * Train accuracy / confusion: 70.75% / [[275, 64, 17], [58, 180, 30], [21, 44, 111]], * Val accuracy / confusion: 59.04% / [[175, 42, 13], [75, 71, 29], [21, 33, 61]] ------------------------------ Epoch 527 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.673675 - Iter 024 / 025, Loss: 0.591428 * Train accuracy / confusion: 70.75% / [[291, 42, 20], [80, 162, 28], [17, 47, 113]], * Val accuracy / confusion: 56.73% / [[141, 74, 15], [46, 111, 18], [17, 55, 43]] ------------------------------ Epoch 528 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.686244 - Iter 024 / 025, Loss: 0.630125 * Train accuracy / confusion: 70.62% / [[283, 56, 19], [74, 163, 29], [19, 38, 119]], * Val accuracy / confusion: 57.31% / [[151, 60, 19], [55, 81, 39], [17, 32, 66]] ------------------------------ Epoch 529 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.664933 - Iter 024 / 025, Loss: 0.355903 * Train accuracy / confusion: 73.00% / [[293, 51, 11], [69, 178, 24], [19, 42, 113]], * Val accuracy / confusion: 55.77% / [[168, 48, 14], [72, 58, 45], [22, 29, 64]] ------------------------------ Epoch 530 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.703692 - Iter 024 / 025, Loss: 0.606336 * Train accuracy / confusion: 70.12% / [[290, 54, 9], [91, 152, 24], [18, 43, 119]], * Val accuracy / confusion: 58.65% / [[140, 74, 16], [42, 110, 23], [10, 50, 55]] ------------------------------ Epoch 531 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.838739 - Iter 024 / 025, Loss: 0.726061 * Train accuracy / confusion: 71.25% / [[290, 57, 14], [79, 152, 33], [16, 31, 128]], * Val accuracy / confusion: 57.12% / [[162, 57, 11], [67, 94, 14], [24, 50, 41]] ------------------------------ Epoch 532 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.738656 - Iter 024 / 025, Loss: 0.599856 * Train accuracy / confusion: 72.50% / [[295, 49, 13], [76, 174, 20], [20, 42, 111]], * Val accuracy / confusion: 53.85% / [[133, 66, 31], [50, 86, 39], [13, 41, 61]] ------------------------------ Epoch 533 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.665958 - Iter 024 / 025, Loss: 0.483870 * Train accuracy / confusion: 69.88% / [[295, 49, 13], [80, 153, 33], [14, 52, 111]], * Val accuracy / confusion: 59.04% / [[182, 37, 11], [72, 79, 24], [23, 46, 46]] ------------------------------ Epoch 534 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.693730 - Iter 024 / 025, Loss: 0.481774 * Train accuracy / confusion: 74.00% / [[287, 50, 19], [68, 182, 17], [19, 35, 123]], * Val accuracy / confusion: 53.65% / [[141, 49, 40], [47, 54, 74], [12, 19, 84]] ------------------------------ Epoch 535 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.779084 - Iter 024 / 025, Loss: 0.605042 * Train accuracy / confusion: 70.50% / [[301, 44, 10], [93, 149, 28], [24, 37, 114]], * Val accuracy / confusion: 58.65% / [[178, 49, 3], [66, 96, 13], [29, 55, 31]] ------------------------------ Epoch 536 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.016848 - Iter 024 / 025, Loss: 0.672205 * Train accuracy / confusion: 70.38% / [[294, 50, 14], [80, 159, 27], [21, 45, 110]], * Val accuracy / confusion: 58.65% / [[158, 59, 13], [59, 91, 25], [21, 38, 56]] ------------------------------ Epoch 537 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.632231 - Iter 024 / 025, Loss: 0.763613 * Train accuracy / confusion: 71.38% / [[288, 53, 16], [71, 165, 32], [18, 39, 118]], * Val accuracy / confusion: 54.81% / [[144, 68, 18], [48, 94, 33], [18, 50, 47]] ------------------------------ Epoch 538 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.770925 - Iter 024 / 025, Loss: 0.688175 * Train accuracy / confusion: 68.88% / [[278, 64, 16], [77, 170, 22], [17, 53, 103]], * Val accuracy / confusion: 56.35% / [[148, 62, 20], [60, 84, 31], [21, 33, 61]] ------------------------------ Epoch 539 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.448756 - Iter 024 / 025, Loss: 0.455409 * Train accuracy / confusion: 72.00% / [[302, 39, 16], [85, 156, 30], [15, 39, 118]], * Val accuracy / confusion: 61.73% / [[182, 40, 8], [71, 89, 15], [25, 40, 50]] ------------------------------ Epoch 540 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.612869 - Iter 024 / 025, Loss: 0.837114 * Train accuracy / confusion: 69.75% / [[295, 56, 10], [87, 160, 18], [21, 50, 103]], * Val accuracy / confusion: 55.00% / [[129, 89, 12], [44, 97, 34], [15, 40, 60]] ------------------------------ Epoch 541 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.843517 - Iter 024 / 025, Loss: 0.670865 * Train accuracy / confusion: 70.50% / [[287, 57, 12], [78, 154, 35], [20, 34, 123]], * Val accuracy / confusion: 57.12% / [[171, 53, 6], [75, 83, 17], [22, 50, 43]] ------------------------------ Epoch 542 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.524811 - Iter 024 / 025, Loss: 0.720298 * Train accuracy / confusion: 72.38% / [[293, 55, 11], [73, 166, 24], [18, 40, 120]], * Val accuracy / confusion: 55.19% / [[166, 56, 8], [71, 90, 14], [23, 61, 31]] ------------------------------ Epoch 543 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.875921 - Iter 024 / 025, Loss: 0.743739 * Train accuracy / confusion: 69.00% / [[267, 68, 18], [71, 162, 39], [12, 40, 123]], * Val accuracy / confusion: 59.04% / [[169, 47, 14], [68, 81, 26], [17, 41, 57]] ------------------------------ Epoch 544 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.571003 - Iter 024 / 025, Loss: 0.706171 * Train accuracy / confusion: 70.62% / [[293, 55, 9], [88, 157, 23], [18, 42, 115]], * Val accuracy / confusion: 54.42% / [[134, 74, 22], [47, 86, 42], [12, 40, 63]] ------------------------------ Epoch 545 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.655963 - Iter 024 / 025, Loss: 0.710609 * Train accuracy / confusion: 70.25% / [[283, 58, 15], [63, 172, 34], [17, 51, 107]], * Val accuracy / confusion: 56.73% / [[149, 57, 24], [57, 82, 36], [13, 38, 64]] ------------------------------ Epoch 546 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.592887 - Iter 024 / 025, Loss: 0.651868 * Train accuracy / confusion: 70.25% / [[293, 57, 8], [74, 167, 29], [16, 54, 102]], * Val accuracy / confusion: 56.73% / [[143, 64, 23], [53, 91, 31], [16, 38, 61]] ------------------------------ Epoch 547 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.617662 - Iter 024 / 025, Loss: 0.675370 * Train accuracy / confusion: 70.12% / [[279, 65, 15], [68, 172, 29], [19, 43, 110]], * Val accuracy / confusion: 57.88% / [[165, 44, 21], [61, 72, 42], [16, 35, 64]] ------------------------------ Epoch 548 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.870301 - Iter 024 / 025, Loss: 0.861058 * Train accuracy / confusion: 70.25% / [[290, 53, 10], [90, 150, 30], [21, 34, 122]], * Val accuracy / confusion: 57.12% / [[164, 58, 8], [68, 88, 19], [22, 48, 45]] ------------------------------ Epoch 549 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.712313 - Iter 024 / 025, Loss: 0.694196 * Train accuracy / confusion: 70.88% / [[290, 57, 12], [65, 167, 37], [17, 45, 110]], * Val accuracy / confusion: 53.85% / [[153, 71, 6], [74, 81, 20], [20, 49, 46]] ------------------------------ Epoch 550 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.547120 - Iter 024 / 025, Loss: 0.670078 * Train accuracy / confusion: 70.25% / [[291, 57, 11], [74, 155, 37], [18, 41, 116]], * Val accuracy / confusion: 57.50% / [[160, 60, 10], [65, 96, 14], [21, 51, 43]] ------------------------------ Epoch 551 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.601592 - Iter 024 / 025, Loss: 0.639663 * Train accuracy / confusion: 72.00% / [[308, 47, 5], [77, 162, 26], [25, 44, 106]], * Val accuracy / confusion: 56.15% / [[155, 65, 10], [70, 88, 17], [16, 50, 49]] ------------------------------ Epoch 552 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.567616 - Iter 024 / 025, Loss: 0.982786 * Train accuracy / confusion: 72.75% / [[292, 48, 16], [73, 170, 24], [22, 35, 120]], * Val accuracy / confusion: 57.50% / [[166, 49, 15], [79, 76, 20], [21, 37, 57]] ------------------------------ Epoch 553 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.778766 - Iter 024 / 025, Loss: 0.821374 * Train accuracy / confusion: 71.50% / [[303, 44, 11], [79, 157, 32], [16, 46, 112]], * Val accuracy / confusion: 57.12% / [[164, 54, 12], [64, 93, 18], [16, 59, 40]] ------------------------------ Epoch 554 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.675798 - Iter 024 / 025, Loss: 0.580874 * Train accuracy / confusion: 70.25% / [[278, 58, 20], [73, 163, 32], [15, 40, 121]], * Val accuracy / confusion: 56.15% / [[173, 52, 5], [78, 83, 14], [26, 53, 36]] ------------------------------ Epoch 555 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.632073 - Iter 024 / 025, Loss: 0.606075 * Train accuracy / confusion: 69.12% / [[285, 57, 11], [90, 153, 27], [22, 40, 115]], * Val accuracy / confusion: 54.62% / [[145, 51, 34], [55, 62, 58], [15, 23, 77]] ------------------------------ Epoch 556 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.610904 - Iter 024 / 025, Loss: 0.642904 * Train accuracy / confusion: 70.75% / [[291, 49, 14], [83, 159, 27], [21, 40, 116]], * Val accuracy / confusion: 55.58% / [[131, 82, 17], [55, 95, 25], [10, 42, 63]] ------------------------------ Epoch 557 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.796843 - Iter 024 / 025, Loss: 0.851313 * Train accuracy / confusion: 71.00% / [[278, 64, 14], [68, 177, 22], [20, 44, 113]], * Val accuracy / confusion: 57.31% / [[173, 44, 13], [72, 69, 34], [21, 38, 56]] ------------------------------ Epoch 558 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.684650 - Iter 024 / 025, Loss: 0.887414 * Train accuracy / confusion: 70.38% / [[299, 46, 14], [86, 152, 29], [19, 43, 112]], * Val accuracy / confusion: 57.31% / [[176, 39, 15], [73, 65, 37], [27, 31, 57]] ------------------------------ Epoch 559 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.930885 - Iter 024 / 025, Loss: 0.579140 * Train accuracy / confusion: 70.00% / [[279, 62, 13], [73, 164, 33], [15, 44, 117]], * Val accuracy / confusion: 58.27% / [[156, 54, 20], [56, 90, 29], [17, 41, 57]] ------------------------------ Epoch 560 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.676913 - Iter 024 / 025, Loss: 0.752956 * Train accuracy / confusion: 70.75% / [[294, 51, 11], [76, 156, 36], [13, 47, 116]], * Val accuracy / confusion: 54.42% / [[168, 56, 6], [74, 73, 28], [22, 51, 42]] ------------------------------ Epoch 561 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.592673 - Iter 024 / 025, Loss: 0.569582 * Train accuracy / confusion: 71.38% / [[290, 57, 9], [79, 154, 33], [17, 34, 127]], * Val accuracy / confusion: 56.54% / [[151, 62, 17], [58, 94, 23], [17, 49, 49]] ------------------------------ Epoch 562 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.000741 - Iter 024 / 025, Loss: 0.633380 * Train accuracy / confusion: 70.62% / [[289, 59, 9], [74, 157, 35], [13, 45, 119]], * Val accuracy / confusion: 52.31% / [[121, 72, 37], [43, 96, 36], [10, 50, 55]] ------------------------------ Epoch 563 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.548684 - Iter 024 / 025, Loss: 0.587114 * Train accuracy / confusion: 71.62% / [[292, 53, 13], [72, 162, 34], [18, 37, 119]], * Val accuracy / confusion: 55.96% / [[164, 46, 20], [71, 74, 30], [21, 41, 53]] ------------------------------ Epoch 564 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.578659 - Iter 024 / 025, Loss: 0.598448 * Train accuracy / confusion: 71.88% / [[290, 52, 12], [72, 170, 25], [11, 53, 115]], * Val accuracy / confusion: 59.04% / [[173, 45, 12], [72, 90, 13], [24, 47, 44]] ------------------------------ Epoch 565 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.580563 - Iter 024 / 025, Loss: 0.755668 * Train accuracy / confusion: 69.38% / [[291, 48, 13], [89, 152, 33], [25, 37, 112]], * Val accuracy / confusion: 57.88% / [[147, 62, 21], [49, 94, 32], [12, 43, 60]] ------------------------------ Epoch 566 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.592976 - Iter 024 / 025, Loss: 0.777307 * Train accuracy / confusion: 71.00% / [[271, 72, 17], [69, 175, 22], [14, 38, 122]], * Val accuracy / confusion: 57.12% / [[154, 57, 19], [59, 94, 22], [20, 46, 49]] ------------------------------ Epoch 567 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.715936 - Iter 024 / 025, Loss: 0.698333 * Train accuracy / confusion: 70.38% / [[288, 58, 12], [82, 164, 21], [22, 42, 111]], * Val accuracy / confusion: 57.50% / [[180, 35, 15], [76, 70, 29], [29, 37, 49]] ------------------------------ Epoch 568 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.667283 - Iter 024 / 025, Loss: 0.758193 * Train accuracy / confusion: 70.62% / [[287, 55, 12], [70, 164, 36], [18, 44, 114]], * Val accuracy / confusion: 58.08% / [[165, 51, 14], [68, 79, 28], [20, 37, 58]] ------------------------------ Epoch 569 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.548526 - Iter 024 / 025, Loss: 0.449043 * Train accuracy / confusion: 71.38% / [[286, 63, 9], [76, 168, 24], [21, 36, 117]], * Val accuracy / confusion: 57.31% / [[155, 54, 21], [60, 80, 35], [20, 32, 63]] ------------------------------ Epoch 570 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.701447 - Iter 024 / 025, Loss: 0.633572 * Train accuracy / confusion: 69.75% / [[299, 49, 9], [83, 157, 26], [18, 57, 102]], * Val accuracy / confusion: 56.15% / [[141, 68, 21], [55, 89, 31], [14, 39, 62]] ------------------------------ Epoch 571 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.711039 - Iter 024 / 025, Loss: 0.715836 * Train accuracy / confusion: 69.50% / [[286, 55, 14], [82, 147, 37], [22, 34, 123]], * Val accuracy / confusion: 55.77% / [[142, 62, 26], [57, 84, 34], [19, 32, 64]] ------------------------------ Epoch 572 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.601905 - Iter 024 / 025, Loss: 0.626782 * Train accuracy / confusion: 72.50% / [[289, 54, 16], [52, 177, 37], [11, 50, 114]], * Val accuracy / confusion: 55.77% / [[135, 66, 29], [47, 104, 24], [15, 49, 51]] ------------------------------ Epoch 573 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.729306 - Iter 024 / 025, Loss: 0.829683 * Train accuracy / confusion: 70.12% / [[302, 42, 9], [88, 154, 25], [27, 48, 105]], * Val accuracy / confusion: 56.35% / [[134, 75, 21], [46, 96, 33], [10, 42, 63]] ------------------------------ Epoch 574 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.524893 - Iter 024 / 025, Loss: 0.783941 * Train accuracy / confusion: 71.00% / [[294, 49, 16], [77, 160, 33], [11, 46, 114]], * Val accuracy / confusion: 57.31% / [[176, 48, 6], [67, 94, 14], [27, 60, 28]] ------------------------------ Epoch 575 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.862877 - Iter 024 / 025, Loss: 0.548054 * Train accuracy / confusion: 70.50% / [[291, 51, 15], [71, 160, 36], [19, 44, 113]], * Val accuracy / confusion: 58.65% / [[150, 65, 15], [50, 105, 20], [18, 47, 50]] ------------------------------ Epoch 576 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.766262 - Iter 024 / 025, Loss: 0.645087 * Train accuracy / confusion: 69.50% / [[285, 61, 11], [80, 162, 26], [12, 54, 109]], * Val accuracy / confusion: 57.69% / [[167, 56, 7], [62, 100, 13], [25, 57, 33]] ------------------------------ Epoch 577 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.837964 - Iter 024 / 025, Loss: 0.569436 * Train accuracy / confusion: 71.62% / [[293, 49, 14], [69, 169, 30], [19, 46, 111]], * Val accuracy / confusion: 53.85% / [[148, 41, 41], [58, 54, 63], [16, 21, 78]] ------------------------------ Epoch 578 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.651990 - Iter 024 / 025, Loss: 0.598628 * Train accuracy / confusion: 68.25% / [[285, 56, 16], [71, 165, 33], [23, 55, 96]], * Val accuracy / confusion: 58.08% / [[170, 46, 14], [66, 92, 17], [19, 56, 40]] ------------------------------ Epoch 579 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.643767 - Iter 024 / 025, Loss: 0.848539 * Train accuracy / confusion: 70.75% / [[294, 48, 12], [85, 157, 28], [27, 34, 115]], * Val accuracy / confusion: 57.88% / [[151, 55, 24], [57, 92, 26], [16, 41, 58]] ------------------------------ Epoch 580 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 1.005673 - Iter 024 / 025, Loss: 0.547495 * Train accuracy / confusion: 70.88% / [[268, 66, 20], [56, 176, 36], [14, 41, 123]], * Val accuracy / confusion: 57.31% / [[168, 48, 14], [70, 70, 35], [20, 35, 60]] ------------------------------ Epoch 581 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.645495 - Iter 024 / 025, Loss: 0.742954 * Train accuracy / confusion: 70.88% / [[301, 41, 15], [98, 148, 22], [21, 36, 118]], * Val accuracy / confusion: 56.15% / [[169, 55, 6], [77, 83, 15], [20, 55, 40]] ------------------------------ Epoch 582 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.525938 - Iter 024 / 025, Loss: 0.879937 * Train accuracy / confusion: 72.38% / [[295, 50, 12], [75, 168, 25], [19, 40, 116]], * Val accuracy / confusion: 55.19% / [[168, 40, 22], [84, 55, 36], [24, 27, 64]] ------------------------------ Epoch 583 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.738946 - Iter 024 / 025, Loss: 0.592999 * Train accuracy / confusion: 68.75% / [[291, 50, 16], [79, 149, 40], [25, 40, 110]], * Val accuracy / confusion: 57.50% / [[159, 49, 22], [65, 79, 31], [20, 34, 61]] ------------------------------ Epoch 584 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.584542 - Iter 024 / 025, Loss: 0.806373 * Train accuracy / confusion: 70.50% / [[282, 60, 8], [76, 165, 28], [18, 46, 117]], * Val accuracy / confusion: 56.73% / [[145, 71, 14], [55, 91, 29], [11, 45, 59]] ------------------------------ Epoch 585 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.665497 - Iter 024 / 025, Loss: 0.582210 * Train accuracy / confusion: 72.00% / [[290, 45, 17], [65, 169, 38], [7, 52, 117]], * Val accuracy / confusion: 54.62% / [[135, 69, 26], [58, 90, 27], [15, 41, 59]] ------------------------------ Epoch 586 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.649100 - Iter 024 / 025, Loss: 0.836144 * Train accuracy / confusion: 70.12% / [[286, 59, 9], [83, 159, 27], [18, 43, 116]], * Val accuracy / confusion: 56.73% / [[174, 40, 16], [79, 80, 16], [22, 52, 41]] ------------------------------ Epoch 587 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.511034 - Iter 024 / 025, Loss: 0.599677 * Train accuracy / confusion: 72.25% / [[289, 47, 19], [70, 170, 28], [18, 40, 119]], * Val accuracy / confusion: 55.58% / [[154, 54, 22], [63, 74, 38], [21, 33, 61]] ------------------------------ Epoch 588 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.684966 - Iter 024 / 025, Loss: 0.730838 * Train accuracy / confusion: 71.38% / [[288, 60, 11], [76, 165, 27], [21, 34, 118]], * Val accuracy / confusion: 56.54% / [[176, 46, 8], [86, 76, 13], [30, 43, 42]] ------------------------------ Epoch 589 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.680596 - Iter 024 / 025, Loss: 0.656003 * Train accuracy / confusion: 70.88% / [[297, 49, 10], [88, 157, 21], [17, 48, 113]], * Val accuracy / confusion: 55.58% / [[138, 70, 22], [51, 87, 37], [12, 39, 64]] ------------------------------ Epoch 590 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.683637 - Iter 024 / 025, Loss: 0.506637 * Train accuracy / confusion: 71.62% / [[278, 58, 19], [73, 177, 21], [15, 41, 118]], * Val accuracy / confusion: 56.73% / [[161, 55, 14], [72, 82, 21], [22, 41, 52]] ------------------------------ Epoch 591 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.815381 - Iter 024 / 025, Loss: 0.583808 * Train accuracy / confusion: 70.00% / [[291, 53, 13], [84, 154, 31], [19, 40, 115]], * Val accuracy / confusion: 56.54% / [[156, 53, 21], [67, 82, 26], [23, 36, 56]] ------------------------------ Epoch 592 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.690612 - Iter 024 / 025, Loss: 0.668052 * Train accuracy / confusion: 70.75% / [[291, 56, 11], [83, 157, 25], [20, 39, 118]], * Val accuracy / confusion: 59.81% / [[168, 53, 9], [63, 95, 17], [20, 47, 48]] ------------------------------ Epoch 593 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.603224 - Iter 024 / 025, Loss: 0.739867 * Train accuracy / confusion: 68.88% / [[279, 67, 15], [70, 158, 36], [19, 42, 114]], * Val accuracy / confusion: 57.69% / [[144, 56, 30], [56, 92, 27], [18, 33, 64]] ------------------------------ Epoch 594 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.709929 - Iter 024 / 025, Loss: 0.714898 * Train accuracy / confusion: 70.88% / [[285, 61, 12], [81, 167, 18], [19, 42, 115]], * Val accuracy / confusion: 54.81% / [[154, 64, 12], [64, 91, 20], [17, 58, 40]] ------------------------------ Epoch 595 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.654096 - Iter 024 / 025, Loss: 0.487952 * Train accuracy / confusion: 69.50% / [[274, 73, 12], [66, 174, 29], [22, 42, 108]], * Val accuracy / confusion: 58.65% / [[169, 54, 7], [65, 103, 7], [23, 59, 33]] ------------------------------ Epoch 596 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.748210 - Iter 024 / 025, Loss: 0.596873 * Train accuracy / confusion: 72.88% / [[300, 44, 12], [76, 167, 25], [11, 49, 116]], * Val accuracy / confusion: 55.19% / [[145, 68, 17], [58, 78, 39], [17, 34, 64]] ------------------------------ Epoch 597 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.586725 - Iter 024 / 025, Loss: 0.497066 * Train accuracy / confusion: 72.38% / [[298, 49, 7], [75, 161, 32], [21, 37, 120]], * Val accuracy / confusion: 57.88% / [[152, 62, 16], [53, 92, 30], [18, 40, 57]] ------------------------------ Epoch 598 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.483352 - Iter 024 / 025, Loss: 0.587931 * Train accuracy / confusion: 72.38% / [[300, 49, 10], [79, 159, 30], [15, 38, 120]], * Val accuracy / confusion: 58.85% / [[160, 51, 19], [59, 89, 27], [21, 37, 57]] ------------------------------ Epoch 599 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.567385 - Iter 024 / 025, Loss: 0.829799 * Train accuracy / confusion: 72.88% / [[284, 51, 19], [66, 171, 33], [17, 31, 128]], * Val accuracy / confusion: 56.92% / [[149, 59, 22], [49, 96, 30], [15, 49, 51]] ------------------------------ Epoch 600 / 2000, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.883780 - Iter 024 / 025, Loss: 0.539026 * Train accuracy / confusion: 71.25% / [[295, 52, 9], [84, 166, 17], [17, 51, 109]], * Val accuracy / confusion: 55.38% / [[149, 61, 20], [60, 85, 30], [20, 41, 54]] ------------------------------ Epoch 601 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.683788 - Iter 024 / 025, Loss: 1.025969 * Train accuracy / confusion: 70.75% / [[287, 46, 25], [73, 156, 41], [19, 30, 123]], * Val accuracy / confusion: 56.54% / [[150, 60, 20], [59, 81, 35], [21, 31, 63]] ------------------------------ Epoch 602 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.704138 - Iter 024 / 025, Loss: 0.703133 * Train accuracy / confusion: 72.25% / [[283, 57, 14], [61, 165, 40], [14, 36, 130]], * Val accuracy / confusion: 56.92% / [[154, 52, 24], [61, 80, 34], [17, 36, 62]] ------------------------------ Epoch 603 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.707775 - Iter 024 / 025, Loss: 0.644342 * Train accuracy / confusion: 72.88% / [[293, 48, 14], [72, 161, 37], [10, 36, 129]], * Val accuracy / confusion: 57.31% / [[156, 54, 20], [53, 81, 41], [16, 38, 61]] ------------------------------ Epoch 604 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.574744 - Iter 024 / 025, Loss: 0.529503 * Train accuracy / confusion: 72.88% / [[293, 54, 11], [75, 165, 26], [17, 34, 125]], * Val accuracy / confusion: 55.96% / [[151, 55, 24], [60, 90, 25], [15, 50, 50]] ------------------------------ Epoch 605 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.625529 - Iter 024 / 025, Loss: 0.834342 * Train accuracy / confusion: 72.62% / [[296, 47, 15], [68, 165, 38], [13, 38, 120]], * Val accuracy / confusion: 59.62% / [[162, 59, 9], [60, 88, 27], [16, 39, 60]] ------------------------------ Epoch 606 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.576748 - Iter 024 / 025, Loss: 0.722029 * Train accuracy / confusion: 71.88% / [[287, 65, 5], [64, 167, 34], [15, 42, 121]], * Val accuracy / confusion: 54.81% / [[150, 63, 17], [63, 82, 30], [22, 40, 53]] ------------------------------ Epoch 607 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.515423 - Iter 024 / 025, Loss: 0.587939 * Train accuracy / confusion: 73.12% / [[292, 49, 14], [74, 168, 25], [20, 33, 125]], * Val accuracy / confusion: 56.54% / [[159, 51, 20], [72, 78, 25], [17, 41, 57]] ------------------------------ Epoch 608 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.625502 - Iter 024 / 025, Loss: 0.723429 * Train accuracy / confusion: 73.12% / [[296, 47, 16], [71, 170, 25], [15, 41, 119]], * Val accuracy / confusion: 55.96% / [[140, 67, 23], [51, 95, 29], [17, 42, 56]] ------------------------------ Epoch 609 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.707518 - Iter 024 / 025, Loss: 0.556602 * Train accuracy / confusion: 72.50% / [[296, 59, 6], [68, 172, 24], [18, 45, 112]], * Val accuracy / confusion: 56.73% / [[156, 51, 23], [68, 85, 22], [17, 44, 54]] ------------------------------ Epoch 610 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.634684 - Iter 024 / 025, Loss: 0.443821 * Train accuracy / confusion: 71.88% / [[304, 47, 7], [73, 159, 37], [17, 44, 112]], * Val accuracy / confusion: 55.77% / [[152, 61, 17], [64, 89, 22], [23, 43, 49]] ------------------------------ Epoch 611 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.673117 - Iter 024 / 025, Loss: 0.653889 * Train accuracy / confusion: 73.75% / [[294, 49, 14], [71, 170, 26], [18, 32, 126]], * Val accuracy / confusion: 58.65% / [[155, 54, 21], [59, 93, 23], [18, 40, 57]] ------------------------------ Epoch 612 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.533180 - Iter 024 / 025, Loss: 0.456563 * Train accuracy / confusion: 72.88% / [[298, 48, 13], [77, 167, 20], [19, 40, 118]], * Val accuracy / confusion: 58.08% / [[149, 61, 20], [62, 98, 15], [14, 46, 55]] ------------------------------ Epoch 613 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.833739 - Iter 024 / 025, Loss: 0.630274 * Train accuracy / confusion: 71.75% / [[300, 45, 12], [79, 158, 28], [14, 48, 116]], * Val accuracy / confusion: 55.77% / [[159, 57, 14], [62, 86, 27], [22, 48, 45]] ------------------------------ Epoch 614 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.591841 - Iter 024 / 025, Loss: 0.464933 * Train accuracy / confusion: 70.62% / [[295, 48, 13], [70, 165, 32], [23, 49, 105]], * Val accuracy / confusion: 57.50% / [[158, 58, 14], [60, 92, 23], [20, 46, 49]] ------------------------------ Epoch 615 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.656404 - Iter 024 / 025, Loss: 0.733094 * Train accuracy / confusion: 71.12% / [[284, 59, 12], [72, 173, 25], [17, 46, 112]], * Val accuracy / confusion: 56.35% / [[149, 64, 17], [67, 89, 19], [21, 39, 55]] ------------------------------ Epoch 616 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.573735 - Iter 024 / 025, Loss: 0.562691 * Train accuracy / confusion: 72.62% / [[296, 44, 13], [78, 160, 30], [17, 37, 125]], * Val accuracy / confusion: 59.81% / [[167, 47, 16], [63, 92, 20], [23, 40, 52]] ------------------------------ Epoch 617 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.840422 - Iter 024 / 025, Loss: 0.654088 * Train accuracy / confusion: 73.00% / [[288, 56, 15], [64, 174, 28], [14, 39, 122]], * Val accuracy / confusion: 58.46% / [[154, 60, 16], [59, 92, 24], [12, 45, 58]] ------------------------------ Epoch 618 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.736890 - Iter 024 / 025, Loss: 0.735592 * Train accuracy / confusion: 72.38% / [[291, 52, 11], [70, 172, 27], [16, 45, 116]], * Val accuracy / confusion: 59.42% / [[154, 61, 15], [55, 99, 21], [19, 40, 56]] ------------------------------ Epoch 619 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.412611 - Iter 024 / 025, Loss: 0.445432 * Train accuracy / confusion: 72.00% / [[290, 58, 9], [77, 169, 24], [18, 38, 117]], * Val accuracy / confusion: 58.65% / [[156, 56, 18], [58, 94, 23], [18, 42, 55]] ------------------------------ Epoch 620 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.535811 - Iter 024 / 025, Loss: 0.670892 * Train accuracy / confusion: 74.12% / [[293, 47, 13], [66, 180, 26], [17, 38, 120]], * Val accuracy / confusion: 57.88% / [[166, 46, 18], [72, 83, 20], [16, 47, 52]] ------------------------------ Epoch 621 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.722400 - Iter 024 / 025, Loss: 0.574512 * Train accuracy / confusion: 71.88% / [[286, 58, 12], [68, 171, 26], [16, 45, 118]], * Val accuracy / confusion: 55.96% / [[157, 53, 20], [68, 81, 26], [17, 45, 53]] ------------------------------ Epoch 622 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.581670 - Iter 024 / 025, Loss: 0.733090 * Train accuracy / confusion: 74.38% / [[295, 53, 12], [65, 171, 30], [12, 33, 129]], * Val accuracy / confusion: 57.50% / [[165, 51, 14], [69, 84, 22], [18, 47, 50]] ------------------------------ Epoch 623 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.602591 - Iter 024 / 025, Loss: 0.877333 * Train accuracy / confusion: 73.25% / [[299, 48, 8], [75, 167, 27], [12, 44, 120]], * Val accuracy / confusion: 56.35% / [[162, 49, 19], [68, 80, 27], [19, 45, 51]] ------------------------------ Epoch 624 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.553307 - Iter 024 / 025, Loss: 0.496317 * Train accuracy / confusion: 73.50% / [[297, 58, 9], [65, 167, 29], [11, 40, 124]], * Val accuracy / confusion: 52.88% / [[142, 68, 20], [70, 82, 23], [15, 49, 51]] ------------------------------ Epoch 625 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.608920 - Iter 024 / 025, Loss: 0.390576 * Train accuracy / confusion: 73.12% / [[294, 47, 13], [69, 169, 30], [18, 38, 122]], * Val accuracy / confusion: 58.85% / [[150, 60, 20], [56, 100, 19], [16, 43, 56]] ------------------------------ Epoch 626 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.644789 - Iter 024 / 025, Loss: 0.699610 * Train accuracy / confusion: 73.00% / [[290, 52, 11], [69, 177, 23], [25, 36, 117]], * Val accuracy / confusion: 56.54% / [[152, 61, 17], [63, 88, 24], [14, 47, 54]] ------------------------------ Epoch 627 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.612035 - Iter 024 / 025, Loss: 0.473409 * Train accuracy / confusion: 73.38% / [[300, 45, 9], [71, 170, 27], [18, 43, 117]], * Val accuracy / confusion: 56.15% / [[151, 62, 17], [69, 87, 19], [24, 37, 54]] ------------------------------ Epoch 628 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.457740 - Iter 024 / 025, Loss: 0.471509 * Train accuracy / confusion: 73.25% / [[295, 52, 9], [79, 167, 20], [16, 38, 124]], * Val accuracy / confusion: 56.15% / [[160, 54, 16], [67, 81, 27], [22, 42, 51]] ------------------------------ Epoch 629 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.765964 - Iter 024 / 025, Loss: 0.612010 * Train accuracy / confusion: 73.75% / [[302, 45, 9], [72, 161, 35], [16, 33, 127]], * Val accuracy / confusion: 56.73% / [[163, 56, 11], [64, 84, 27], [23, 44, 48]] ------------------------------ Epoch 630 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.528204 - Iter 024 / 025, Loss: 0.464452 * Train accuracy / confusion: 74.88% / [[307, 41, 9], [65, 165, 38], [11, 37, 127]], * Val accuracy / confusion: 56.15% / [[161, 52, 17], [78, 75, 22], [16, 43, 56]] ------------------------------ Epoch 631 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.587415 - Iter 024 / 025, Loss: 0.461799 * Train accuracy / confusion: 72.00% / [[294, 51, 11], [76, 160, 29], [19, 38, 122]], * Val accuracy / confusion: 57.12% / [[165, 47, 18], [69, 84, 22], [20, 47, 48]] ------------------------------ Epoch 632 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.614002 - Iter 024 / 025, Loss: 0.492296 * Train accuracy / confusion: 74.00% / [[292, 53, 11], [70, 173, 24], [15, 35, 127]], * Val accuracy / confusion: 57.31% / [[164, 50, 16], [72, 76, 27], [17, 40, 58]] ------------------------------ Epoch 633 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.532832 - Iter 024 / 025, Loss: 0.467949 * Train accuracy / confusion: 73.88% / [[289, 52, 12], [70, 171, 28], [9, 38, 131]], * Val accuracy / confusion: 61.35% / [[159, 51, 20], [59, 102, 14], [17, 40, 58]] ------------------------------ Epoch 634 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.482474 - Iter 024 / 025, Loss: 0.472079 * Train accuracy / confusion: 75.25% / [[293, 51, 11], [61, 182, 23], [17, 35, 127]], * Val accuracy / confusion: 56.15% / [[152, 61, 17], [57, 85, 33], [13, 47, 55]] ------------------------------ Epoch 635 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.697981 - Iter 024 / 025, Loss: 0.705300 * Train accuracy / confusion: 73.12% / [[292, 51, 12], [70, 173, 26], [21, 35, 120]], * Val accuracy / confusion: 57.12% / [[157, 54, 19], [70, 87, 18], [23, 39, 53]] ------------------------------ Epoch 636 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.689402 - Iter 024 / 025, Loss: 0.415070 * Train accuracy / confusion: 72.38% / [[297, 48, 12], [71, 166, 30], [15, 45, 116]], * Val accuracy / confusion: 57.69% / [[158, 51, 21], [64, 88, 23], [18, 43, 54]] ------------------------------ Epoch 637 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.729800 - Iter 024 / 025, Loss: 0.722370 * Train accuracy / confusion: 71.50% / [[291, 50, 15], [77, 164, 28], [18, 40, 117]], * Val accuracy / confusion: 55.38% / [[155, 52, 23], [70, 78, 27], [18, 42, 55]] ------------------------------ Epoch 638 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.438914 - Iter 024 / 025, Loss: 0.496503 * Train accuracy / confusion: 73.38% / [[294, 54, 10], [77, 168, 21], [14, 37, 125]], * Val accuracy / confusion: 60.19% / [[160, 56, 14], [60, 94, 21], [20, 36, 59]] ------------------------------ Epoch 639 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.620049 - Iter 024 / 025, Loss: 0.539879 * Train accuracy / confusion: 72.88% / [[291, 57, 6], [72, 169, 28], [18, 36, 123]], * Val accuracy / confusion: 56.35% / [[159, 54, 17], [65, 84, 26], [18, 47, 50]] ------------------------------ Epoch 640 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.499676 - Iter 024 / 025, Loss: 0.600960 * Train accuracy / confusion: 74.12% / [[298, 51, 8], [70, 171, 28], [11, 39, 124]], * Val accuracy / confusion: 56.92% / [[155, 53, 22], [59, 87, 29], [20, 41, 54]] ------------------------------ Epoch 641 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.515688 - Iter 024 / 025, Loss: 0.576796 * Train accuracy / confusion: 73.38% / [[288, 56, 11], [70, 172, 29], [16, 31, 127]], * Val accuracy / confusion: 56.73% / [[157, 57, 16], [64, 85, 26], [19, 43, 53]] ------------------------------ Epoch 642 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.760458 - Iter 024 / 025, Loss: 0.985190 * Train accuracy / confusion: 72.00% / [[299, 46, 11], [73, 161, 34], [19, 41, 116]], * Val accuracy / confusion: 57.88% / [[162, 53, 15], [64, 89, 22], [20, 45, 50]] ------------------------------ Epoch 643 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.487488 - Iter 024 / 025, Loss: 0.763174 * Train accuracy / confusion: 73.00% / [[294, 49, 14], [73, 165, 28], [13, 39, 125]], * Val accuracy / confusion: 58.46% / [[160, 54, 16], [64, 92, 19], [17, 46, 52]] ------------------------------ Epoch 644 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.791547 - Iter 024 / 025, Loss: 0.706599 * Train accuracy / confusion: 72.50% / [[299, 53, 6], [73, 168, 27], [20, 41, 113]], * Val accuracy / confusion: 58.46% / [[160, 49, 21], [66, 87, 22], [13, 45, 57]] ------------------------------ Epoch 645 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.753068 - Iter 024 / 025, Loss: 0.637723 * Train accuracy / confusion: 74.25% / [[294, 51, 10], [61, 181, 29], [18, 37, 119]], * Val accuracy / confusion: 58.27% / [[159, 56, 15], [61, 92, 22], [13, 50, 52]] ------------------------------ Epoch 646 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.415738 - Iter 024 / 025, Loss: 0.639530 * Train accuracy / confusion: 75.62% / [[300, 41, 14], [68, 184, 21], [17, 34, 121]], * Val accuracy / confusion: 55.96% / [[153, 59, 18], [59, 88, 28], [11, 54, 50]] ------------------------------ Epoch 647 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.468234 - Iter 024 / 025, Loss: 0.444653 * Train accuracy / confusion: 74.88% / [[297, 50, 10], [71, 176, 24], [9, 37, 126]], * Val accuracy / confusion: 57.12% / [[161, 51, 18], [73, 85, 17], [19, 45, 51]] ------------------------------ Epoch 648 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.705608 - Iter 024 / 025, Loss: 0.692506 * Train accuracy / confusion: 73.00% / [[300, 47, 11], [83, 164, 20], [16, 39, 120]], * Val accuracy / confusion: 59.23% / [[172, 44, 14], [65, 85, 25], [17, 47, 51]] ------------------------------ Epoch 649 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.365627 - Iter 024 / 025, Loss: 0.668507 * Train accuracy / confusion: 74.25% / [[296, 49, 10], [68, 179, 25], [20, 34, 119]], * Val accuracy / confusion: 56.73% / [[162, 45, 23], [61, 79, 35], [25, 36, 54]] ------------------------------ Epoch 650 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.475529 - Iter 024 / 025, Loss: 0.555890 * Train accuracy / confusion: 76.12% / [[299, 46, 9], [67, 179, 23], [12, 34, 131]], * Val accuracy / confusion: 56.35% / [[154, 59, 17], [66, 85, 24], [15, 46, 54]] ------------------------------ Epoch 651 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.821442 - Iter 024 / 025, Loss: 0.625627 * Train accuracy / confusion: 74.62% / [[297, 49, 10], [67, 172, 29], [17, 31, 128]], * Val accuracy / confusion: 59.62% / [[165, 44, 21], [59, 89, 27], [18, 41, 56]] ------------------------------ Epoch 652 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.640472 - Iter 024 / 025, Loss: 0.552847 * Train accuracy / confusion: 74.62% / [[295, 41, 18], [65, 176, 29], [15, 35, 126]], * Val accuracy / confusion: 55.38% / [[153, 54, 23], [68, 82, 25], [19, 43, 53]] ------------------------------ Epoch 653 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.668925 - Iter 024 / 025, Loss: 0.611295 * Train accuracy / confusion: 72.88% / [[292, 52, 7], [72, 175, 25], [20, 41, 116]], * Val accuracy / confusion: 55.96% / [[154, 61, 15], [64, 87, 24], [19, 46, 50]] ------------------------------ Epoch 654 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.444480 - Iter 024 / 025, Loss: 0.594183 * Train accuracy / confusion: 71.62% / [[278, 67, 11], [72, 170, 24], [18, 35, 125]], * Val accuracy / confusion: 55.19% / [[149, 70, 11], [68, 86, 21], [20, 43, 52]] ------------------------------ Epoch 655 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.717337 - Iter 024 / 025, Loss: 0.492723 * Train accuracy / confusion: 73.38% / [[290, 50, 15], [67, 176, 28], [18, 35, 121]], * Val accuracy / confusion: 55.58% / [[144, 69, 17], [53, 90, 32], [14, 46, 55]] ------------------------------ Epoch 656 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.453125 - Iter 024 / 025, Loss: 0.558141 * Train accuracy / confusion: 72.38% / [[289, 54, 16], [70, 171, 23], [16, 42, 119]], * Val accuracy / confusion: 57.31% / [[153, 63, 14], [52, 94, 29], [20, 44, 51]] ------------------------------ Epoch 657 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.772784 - Iter 024 / 025, Loss: 0.557362 * Train accuracy / confusion: 73.25% / [[299, 41, 18], [78, 167, 19], [20, 38, 120]], * Val accuracy / confusion: 59.62% / [[154, 59, 17], [60, 99, 16], [17, 41, 57]] ------------------------------ Epoch 658 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.654846 - Iter 024 / 025, Loss: 0.627754 * Train accuracy / confusion: 72.38% / [[297, 47, 15], [71, 163, 32], [17, 39, 119]], * Val accuracy / confusion: 58.27% / [[168, 49, 13], [63, 83, 29], [17, 46, 52]] ------------------------------ Epoch 659 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.809900 - Iter 024 / 025, Loss: 0.857403 * Train accuracy / confusion: 73.62% / [[301, 42, 12], [75, 165, 29], [13, 40, 123]], * Val accuracy / confusion: 57.88% / [[167, 54, 9], [73, 84, 18], [19, 46, 50]] ------------------------------ Epoch 660 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.486883 - Iter 024 / 025, Loss: 0.437323 * Train accuracy / confusion: 73.88% / [[294, 55, 10], [75, 166, 20], [19, 30, 131]], * Val accuracy / confusion: 58.46% / [[165, 50, 15], [68, 87, 20], [20, 43, 52]] ------------------------------ Epoch 661 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.715716 - Iter 024 / 025, Loss: 0.488604 * Train accuracy / confusion: 72.50% / [[294, 54, 14], [79, 164, 26], [15, 32, 122]], * Val accuracy / confusion: 56.92% / [[157, 56, 17], [65, 91, 19], [13, 54, 48]] ------------------------------ Epoch 662 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.652113 - Iter 024 / 025, Loss: 0.552356 * Train accuracy / confusion: 75.38% / [[299, 44, 12], [71, 181, 17], [19, 34, 123]], * Val accuracy / confusion: 56.15% / [[165, 50, 15], [71, 76, 28], [21, 43, 51]] ------------------------------ Epoch 663 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.470070 - Iter 024 / 025, Loss: 0.484732 * Train accuracy / confusion: 71.88% / [[300, 51, 10], [83, 158, 24], [18, 39, 117]], * Val accuracy / confusion: 58.27% / [[163, 57, 10], [69, 92, 14], [15, 52, 48]] ------------------------------ Epoch 664 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.424395 - Iter 024 / 025, Loss: 0.529326 * Train accuracy / confusion: 74.75% / [[299, 47, 11], [71, 172, 22], [13, 38, 127]], * Val accuracy / confusion: 60.00% / [[155, 57, 18], [54, 96, 25], [18, 36, 61]] ------------------------------ Epoch 665 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.584546 - Iter 024 / 025, Loss: 0.557509 * Train accuracy / confusion: 76.25% / [[300, 50, 11], [55, 188, 19], [15, 40, 122]], * Val accuracy / confusion: 57.31% / [[156, 53, 21], [60, 87, 28], [17, 43, 55]] ------------------------------ Epoch 666 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.560645 - Iter 024 / 025, Loss: 0.685842 * Train accuracy / confusion: 72.00% / [[295, 51, 15], [82, 157, 24], [19, 33, 124]], * Val accuracy / confusion: 55.19% / [[152, 54, 24], [61, 82, 32], [15, 47, 53]] ------------------------------ Epoch 667 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.439396 - Iter 024 / 025, Loss: 0.819451 * Train accuracy / confusion: 71.62% / [[289, 52, 15], [73, 166, 27], [14, 46, 118]], * Val accuracy / confusion: 57.50% / [[152, 56, 22], [64, 84, 27], [16, 36, 63]] ------------------------------ Epoch 668 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.636520 - Iter 024 / 025, Loss: 0.668069 * Train accuracy / confusion: 74.00% / [[292, 46, 17], [80, 168, 22], [15, 28, 132]], * Val accuracy / confusion: 56.54% / [[152, 60, 18], [59, 82, 34], [19, 36, 60]] ------------------------------ Epoch 669 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.588461 - Iter 024 / 025, Loss: 0.462072 * Train accuracy / confusion: 73.50% / [[296, 47, 15], [75, 171, 25], [12, 38, 121]], * Val accuracy / confusion: 59.23% / [[158, 59, 13], [60, 94, 21], [14, 45, 56]] ------------------------------ Epoch 670 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.542136 - Iter 024 / 025, Loss: 0.521755 * Train accuracy / confusion: 74.25% / [[299, 49, 9], [62, 175, 31], [16, 39, 120]], * Val accuracy / confusion: 59.04% / [[169, 48, 13], [57, 92, 26], [18, 51, 46]] ------------------------------ Epoch 671 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.777852 - Iter 024 / 025, Loss: 0.688746 * Train accuracy / confusion: 72.25% / [[289, 55, 14], [74, 168, 28], [17, 34, 121]], * Val accuracy / confusion: 57.88% / [[167, 46, 17], [66, 82, 27], [18, 45, 52]] ------------------------------ Epoch 672 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.669760 - Iter 024 / 025, Loss: 0.669058 * Train accuracy / confusion: 74.50% / [[301, 44, 12], [71, 174, 24], [12, 41, 121]], * Val accuracy / confusion: 56.35% / [[154, 59, 17], [68, 86, 21], [16, 46, 53]] ------------------------------ Epoch 673 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.585367 - Iter 024 / 025, Loss: 0.343961 * Train accuracy / confusion: 74.50% / [[294, 52, 8], [69, 175, 25], [20, 30, 127]], * Val accuracy / confusion: 58.46% / [[155, 60, 15], [62, 96, 17], [21, 41, 53]] ------------------------------ Epoch 674 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.442605 - Iter 024 / 025, Loss: 0.677405 * Train accuracy / confusion: 72.50% / [[284, 61, 11], [70, 171, 30], [16, 32, 125]], * Val accuracy / confusion: 59.04% / [[159, 59, 12], [62, 91, 22], [19, 39, 57]] ------------------------------ Epoch 675 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.707462 - Iter 024 / 025, Loss: 0.486536 * Train accuracy / confusion: 75.25% / [[309, 42, 8], [67, 174, 24], [21, 36, 119]], * Val accuracy / confusion: 55.58% / [[155, 55, 20], [63, 85, 27], [16, 50, 49]] ------------------------------ Epoch 676 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.476290 - Iter 024 / 025, Loss: 0.409853 * Train accuracy / confusion: 73.00% / [[298, 45, 13], [75, 160, 32], [17, 34, 126]], * Val accuracy / confusion: 55.38% / [[160, 64, 6], [70, 80, 25], [21, 46, 48]] ------------------------------ Epoch 677 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.690789 - Iter 024 / 025, Loss: 0.612671 * Train accuracy / confusion: 71.88% / [[290, 58, 10], [68, 168, 30], [18, 41, 117]], * Val accuracy / confusion: 54.81% / [[150, 64, 16], [62, 84, 29], [16, 48, 51]] ------------------------------ Epoch 678 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.644177 - Iter 024 / 025, Loss: 0.486171 * Train accuracy / confusion: 75.00% / [[295, 49, 11], [66, 176, 23], [16, 35, 129]], * Val accuracy / confusion: 58.08% / [[162, 49, 19], [62, 83, 30], [20, 38, 57]] ------------------------------ Epoch 679 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.575862 - Iter 024 / 025, Loss: 0.763607 * Train accuracy / confusion: 71.50% / [[294, 53, 15], [71, 161, 34], [14, 41, 117]], * Val accuracy / confusion: 56.73% / [[146, 67, 17], [61, 92, 22], [11, 47, 57]] ------------------------------ Epoch 680 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.795676 - Iter 024 / 025, Loss: 0.404330 * Train accuracy / confusion: 73.88% / [[283, 55, 16], [63, 179, 26], [17, 32, 129]], * Val accuracy / confusion: 58.08% / [[162, 57, 11], [74, 84, 17], [15, 44, 56]] ------------------------------ Epoch 681 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.668210 - Iter 024 / 025, Loss: 0.575105 * Train accuracy / confusion: 73.12% / [[302, 50, 6], [72, 160, 32], [17, 38, 123]], * Val accuracy / confusion: 56.92% / [[158, 58, 14], [56, 83, 36], [18, 42, 55]] ------------------------------ Epoch 682 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.582462 - Iter 024 / 025, Loss: 0.601351 * Train accuracy / confusion: 74.75% / [[300, 44, 11], [65, 180, 27], [17, 38, 118]], * Val accuracy / confusion: 56.54% / [[162, 52, 16], [69, 82, 24], [21, 44, 50]] ------------------------------ Epoch 683 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.729912 - Iter 024 / 025, Loss: 0.423994 * Train accuracy / confusion: 75.38% / [[295, 54, 11], [59, 178, 28], [14, 31, 130]], * Val accuracy / confusion: 57.31% / [[162, 49, 19], [67, 77, 31], [19, 37, 59]] ------------------------------ Epoch 684 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.615221 - Iter 024 / 025, Loss: 0.530117 * Train accuracy / confusion: 73.62% / [[298, 53, 10], [70, 165, 30], [11, 37, 126]], * Val accuracy / confusion: 54.62% / [[148, 63, 19], [64, 79, 32], [17, 41, 57]] ------------------------------ Epoch 685 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.507417 - Iter 024 / 025, Loss: 0.627374 * Train accuracy / confusion: 73.12% / [[292, 49, 13], [66, 170, 33], [16, 38, 123]], * Val accuracy / confusion: 58.27% / [[154, 59, 17], [58, 92, 25], [13, 45, 57]] ------------------------------ Epoch 686 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.436050 - Iter 024 / 025, Loss: 0.438720 * Train accuracy / confusion: 74.75% / [[298, 44, 11], [72, 171, 26], [16, 33, 129]], * Val accuracy / confusion: 59.04% / [[160, 60, 10], [54, 93, 28], [17, 44, 54]] ------------------------------ Epoch 687 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.700044 - Iter 024 / 025, Loss: 0.456240 * Train accuracy / confusion: 74.00% / [[294, 52, 12], [66, 186, 18], [17, 43, 112]], * Val accuracy / confusion: 58.65% / [[148, 67, 15], [57, 94, 24], [14, 38, 63]] ------------------------------ Epoch 688 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.652962 - Iter 024 / 025, Loss: 0.691310 * Train accuracy / confusion: 74.62% / [[296, 47, 14], [60, 176, 31], [9, 42, 125]], * Val accuracy / confusion: 58.85% / [[160, 56, 14], [51, 98, 26], [17, 50, 48]] ------------------------------ Epoch 689 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.575941 - Iter 024 / 025, Loss: 0.766788 * Train accuracy / confusion: 75.50% / [[300, 47, 11], [59, 180, 28], [18, 33, 124]], * Val accuracy / confusion: 58.85% / [[169, 43, 18], [78, 81, 16], [17, 42, 56]] ------------------------------ Epoch 690 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.569876 - Iter 024 / 025, Loss: 0.618639 * Train accuracy / confusion: 74.38% / [[301, 49, 9], [71, 170, 25], [16, 35, 124]], * Val accuracy / confusion: 55.19% / [[154, 51, 25], [62, 88, 25], [23, 47, 45]] ------------------------------ Epoch 691 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.562252 - Iter 024 / 025, Loss: 0.492541 * Train accuracy / confusion: 73.12% / [[294, 49, 14], [75, 171, 21], [17, 39, 120]], * Val accuracy / confusion: 57.88% / [[162, 54, 14], [63, 89, 23], [20, 45, 50]] ------------------------------ Epoch 692 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.730653 - Iter 024 / 025, Loss: 0.618575 * Train accuracy / confusion: 72.25% / [[295, 54, 9], [69, 171, 25], [22, 43, 112]], * Val accuracy / confusion: 57.88% / [[162, 56, 12], [67, 86, 22], [20, 42, 53]] ------------------------------ Epoch 693 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.696133 - Iter 024 / 025, Loss: 0.613660 * Train accuracy / confusion: 73.25% / [[296, 46, 12], [84, 170, 15], [18, 39, 120]], * Val accuracy / confusion: 57.12% / [[148, 67, 15], [57, 86, 32], [16, 36, 63]] ------------------------------ Epoch 694 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.445213 - Iter 024 / 025, Loss: 0.518501 * Train accuracy / confusion: 75.62% / [[300, 42, 13], [61, 179, 27], [16, 36, 126]], * Val accuracy / confusion: 57.12% / [[152, 60, 18], [61, 86, 28], [12, 44, 59]] ------------------------------ Epoch 695 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.401455 - Iter 024 / 025, Loss: 0.780143 * Train accuracy / confusion: 75.38% / [[298, 46, 11], [64, 180, 24], [18, 34, 125]], * Val accuracy / confusion: 57.12% / [[152, 60, 18], [68, 90, 17], [17, 43, 55]] ------------------------------ Epoch 696 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.604217 - Iter 024 / 025, Loss: 0.530414 * Train accuracy / confusion: 73.50% / [[284, 59, 7], [76, 178, 19], [14, 37, 126]], * Val accuracy / confusion: 58.27% / [[154, 59, 17], [52, 90, 33], [14, 42, 59]] ------------------------------ Epoch 697 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.517266 - Iter 024 / 025, Loss: 0.435874 * Train accuracy / confusion: 73.88% / [[293, 50, 12], [67, 171, 29], [15, 36, 127]], * Val accuracy / confusion: 56.73% / [[166, 50, 14], [71, 81, 23], [25, 42, 48]] ------------------------------ Epoch 698 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.600992 - Iter 024 / 025, Loss: 0.596905 * Train accuracy / confusion: 69.38% / [[285, 63, 16], [74, 154, 37], [18, 37, 116]], * Val accuracy / confusion: 57.12% / [[156, 53, 21], [65, 87, 23], [13, 48, 54]] ------------------------------ Epoch 699 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.529144 - Iter 024 / 025, Loss: 0.430775 * Train accuracy / confusion: 75.00% / [[310, 45, 7], [76, 165, 20], [12, 40, 125]], * Val accuracy / confusion: 55.96% / [[152, 58, 20], [56, 89, 30], [15, 50, 50]] ------------------------------ Epoch 700 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.486807 - Iter 024 / 025, Loss: 0.809529 * Train accuracy / confusion: 72.88% / [[303, 40, 12], [76, 167, 27], [13, 49, 113]], * Val accuracy / confusion: 58.08% / [[158, 57, 15], [63, 95, 17], [22, 44, 49]] ------------------------------ Epoch 701 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.694064 - Iter 024 / 025, Loss: 0.613808 * Train accuracy / confusion: 74.88% / [[307, 40, 8], [67, 171, 29], [15, 42, 121]], * Val accuracy / confusion: 59.81% / [[167, 46, 17], [64, 91, 20], [16, 46, 53]] ------------------------------ Epoch 702 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.631577 - Iter 024 / 025, Loss: 0.793272 * Train accuracy / confusion: 73.00% / [[295, 53, 9], [70, 164, 34], [17, 33, 125]], * Val accuracy / confusion: 58.46% / [[156, 55, 19], [56, 87, 32], [18, 36, 61]] ------------------------------ Epoch 703 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.789943 - Iter 024 / 025, Loss: 0.742561 * Train accuracy / confusion: 71.38% / [[297, 49, 11], [81, 160, 28], [8, 52, 114]], * Val accuracy / confusion: 57.12% / [[166, 53, 11], [73, 84, 18], [20, 48, 47]] ------------------------------ Epoch 704 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.764145 - Iter 024 / 025, Loss: 0.540722 * Train accuracy / confusion: 74.75% / [[301, 45, 13], [63, 182, 24], [10, 47, 115]], * Val accuracy / confusion: 57.50% / [[155, 60, 15], [56, 87, 32], [20, 38, 57]] ------------------------------ Epoch 705 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.613588 - Iter 024 / 025, Loss: 0.603574 * Train accuracy / confusion: 75.25% / [[303, 46, 5], [66, 174, 27], [16, 38, 125]], * Val accuracy / confusion: 57.31% / [[156, 56, 18], [57, 88, 30], [16, 45, 54]] ------------------------------ Epoch 706 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.749460 - Iter 024 / 025, Loss: 0.621502 * Train accuracy / confusion: 72.25% / [[290, 51, 13], [71, 174, 25], [14, 48, 114]], * Val accuracy / confusion: 58.08% / [[157, 58, 15], [62, 89, 24], [16, 43, 56]] ------------------------------ Epoch 707 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.410180 - Iter 024 / 025, Loss: 0.504217 * Train accuracy / confusion: 76.12% / [[292, 56, 10], [65, 182, 18], [10, 32, 135]], * Val accuracy / confusion: 57.88% / [[161, 50, 19], [65, 88, 22], [14, 49, 52]] ------------------------------ Epoch 708 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.783374 - Iter 024 / 025, Loss: 0.631924 * Train accuracy / confusion: 74.25% / [[296, 49, 7], [65, 180, 25], [25, 35, 118]], * Val accuracy / confusion: 55.96% / [[158, 57, 15], [58, 91, 26], [18, 55, 42]] ------------------------------ Epoch 709 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.626525 - Iter 024 / 025, Loss: 0.665541 * Train accuracy / confusion: 73.00% / [[287, 57, 11], [68, 176, 28], [15, 37, 121]], * Val accuracy / confusion: 57.12% / [[161, 55, 14], [61, 83, 31], [18, 44, 53]] ------------------------------ Epoch 710 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.660794 - Iter 024 / 025, Loss: 0.485900 * Train accuracy / confusion: 76.12% / [[304, 48, 6], [65, 179, 22], [8, 42, 126]], * Val accuracy / confusion: 57.88% / [[156, 59, 15], [62, 91, 22], [15, 46, 54]] ------------------------------ Epoch 711 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.525860 - Iter 024 / 025, Loss: 0.551390 * Train accuracy / confusion: 74.25% / [[297, 52, 9], [61, 175, 31], [14, 39, 122]], * Val accuracy / confusion: 55.77% / [[155, 57, 18], [62, 80, 33], [17, 43, 55]] ------------------------------ Epoch 712 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.712082 - Iter 024 / 025, Loss: 0.665901 * Train accuracy / confusion: 73.12% / [[296, 51, 9], [81, 167, 25], [13, 36, 122]], * Val accuracy / confusion: 59.42% / [[155, 55, 20], [60, 94, 21], [16, 39, 60]] ------------------------------ Epoch 713 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.557927 - Iter 024 / 025, Loss: 0.677360 * Train accuracy / confusion: 71.00% / [[300, 52, 11], [83, 150, 30], [17, 39, 118]], * Val accuracy / confusion: 58.46% / [[162, 54, 14], [60, 94, 21], [19, 48, 48]] ------------------------------ Epoch 714 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.687688 - Iter 024 / 025, Loss: 0.546738 * Train accuracy / confusion: 75.62% / [[298, 42, 15], [67, 178, 23], [16, 32, 129]], * Val accuracy / confusion: 57.69% / [[163, 51, 16], [62, 87, 26], [15, 50, 50]] ------------------------------ Epoch 715 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.631584 - Iter 024 / 025, Loss: 0.516215 * Train accuracy / confusion: 75.25% / [[302, 54, 5], [60, 178, 27], [12, 40, 122]], * Val accuracy / confusion: 55.19% / [[154, 54, 22], [57, 80, 38], [18, 44, 53]] ------------------------------ Epoch 716 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.710680 - Iter 024 / 025, Loss: 0.476235 * Train accuracy / confusion: 74.12% / [[296, 47, 12], [73, 173, 26], [14, 35, 124]], * Val accuracy / confusion: 55.38% / [[151, 60, 19], [64, 85, 26], [20, 43, 52]] ------------------------------ Epoch 717 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.555106 - Iter 024 / 025, Loss: 0.783847 * Train accuracy / confusion: 73.62% / [[292, 52, 11], [75, 172, 22], [11, 40, 125]], * Val accuracy / confusion: 56.92% / [[157, 55, 18], [67, 88, 20], [20, 44, 51]] ------------------------------ Epoch 718 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.589077 - Iter 024 / 025, Loss: 0.693641 * Train accuracy / confusion: 74.50% / [[299, 51, 7], [64, 178, 24], [14, 44, 119]], * Val accuracy / confusion: 55.77% / [[152, 60, 18], [58, 89, 28], [17, 49, 49]] ------------------------------ Epoch 719 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.520892 - Iter 024 / 025, Loss: 0.724942 * Train accuracy / confusion: 75.62% / [[295, 48, 14], [67, 180, 24], [12, 30, 130]], * Val accuracy / confusion: 57.31% / [[158, 57, 15], [61, 89, 25], [17, 47, 51]] ------------------------------ Epoch 720 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.452696 - Iter 024 / 025, Loss: 0.911979 * Train accuracy / confusion: 73.38% / [[296, 42, 14], [67, 172, 31], [12, 47, 119]], * Val accuracy / confusion: 57.88% / [[165, 54, 11], [62, 82, 31], [15, 46, 54]] ------------------------------ Epoch 721 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.469457 - Iter 024 / 025, Loss: 0.483425 * Train accuracy / confusion: 72.62% / [[289, 51, 11], [71, 172, 29], [12, 45, 120]], * Val accuracy / confusion: 59.23% / [[151, 60, 19], [53, 99, 23], [21, 36, 58]] ------------------------------ Epoch 722 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.735291 - Iter 024 / 025, Loss: 0.486374 * Train accuracy / confusion: 74.00% / [[292, 54, 10], [61, 178, 29], [14, 40, 122]], * Val accuracy / confusion: 56.54% / [[160, 57, 13], [65, 85, 25], [19, 47, 49]] ------------------------------ Epoch 723 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.461553 - Iter 024 / 025, Loss: 0.437092 * Train accuracy / confusion: 76.25% / [[302, 48, 7], [62, 181, 25], [12, 36, 127]], * Val accuracy / confusion: 58.65% / [[150, 63, 17], [57, 93, 25], [16, 37, 62]] ------------------------------ Epoch 724 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.460126 - Iter 024 / 025, Loss: 0.987817 * Train accuracy / confusion: 72.88% / [[295, 48, 12], [72, 172, 22], [19, 44, 116]], * Val accuracy / confusion: 57.12% / [[166, 49, 15], [77, 78, 20], [22, 40, 53]] ------------------------------ Epoch 725 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.354066 - Iter 024 / 025, Loss: 0.606507 * Train accuracy / confusion: 73.38% / [[300, 46, 8], [72, 161, 38], [12, 37, 126]], * Val accuracy / confusion: 58.85% / [[166, 46, 18], [69, 88, 18], [17, 46, 52]] ------------------------------ Epoch 726 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.590504 - Iter 024 / 025, Loss: 0.485795 * Train accuracy / confusion: 73.00% / [[289, 59, 12], [70, 169, 29], [12, 34, 126]], * Val accuracy / confusion: 56.92% / [[157, 53, 20], [61, 89, 25], [22, 43, 50]] ------------------------------ Epoch 727 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.558146 - Iter 024 / 025, Loss: 0.708848 * Train accuracy / confusion: 77.75% / [[308, 45, 8], [64, 183, 17], [9, 35, 131]], * Val accuracy / confusion: 55.58% / [[157, 59, 14], [62, 85, 28], [17, 51, 47]] ------------------------------ Epoch 728 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.531273 - Iter 024 / 025, Loss: 0.525488 * Train accuracy / confusion: 71.62% / [[291, 60, 10], [78, 171, 15], [14, 50, 111]], * Val accuracy / confusion: 58.27% / [[158, 59, 13], [59, 88, 28], [19, 39, 57]] ------------------------------ Epoch 729 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.631727 - Iter 024 / 025, Loss: 0.755344 * Train accuracy / confusion: 76.38% / [[300, 42, 10], [55, 187, 29], [14, 39, 124]], * Val accuracy / confusion: 55.00% / [[149, 66, 15], [64, 85, 26], [24, 39, 52]] ------------------------------ Epoch 730 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.699519 - Iter 024 / 025, Loss: 0.530647 * Train accuracy / confusion: 74.00% / [[280, 63, 10], [62, 188, 21], [15, 37, 124]], * Val accuracy / confusion: 55.77% / [[153, 59, 18], [60, 88, 27], [16, 50, 49]] ------------------------------ Epoch 731 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.734705 - Iter 024 / 025, Loss: 0.597269 * Train accuracy / confusion: 73.75% / [[290, 59, 10], [71, 170, 26], [16, 28, 130]], * Val accuracy / confusion: 56.54% / [[150, 58, 22], [51, 86, 38], [11, 46, 58]] ------------------------------ Epoch 732 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.768879 - Iter 024 / 025, Loss: 0.599989 * Train accuracy / confusion: 74.25% / [[293, 53, 5], [79, 169, 22], [10, 37, 132]], * Val accuracy / confusion: 55.38% / [[153, 63, 14], [66, 90, 19], [19, 51, 45]] ------------------------------ Epoch 733 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.389618 - Iter 024 / 025, Loss: 0.807918 * Train accuracy / confusion: 75.38% / [[299, 48, 10], [64, 176, 27], [14, 34, 128]], * Val accuracy / confusion: 59.23% / [[157, 61, 12], [65, 84, 26], [17, 31, 67]] ------------------------------ Epoch 734 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.519621 - Iter 024 / 025, Loss: 0.672577 * Train accuracy / confusion: 74.38% / [[289, 49, 12], [62, 179, 32], [14, 36, 127]], * Val accuracy / confusion: 56.35% / [[163, 55, 12], [68, 81, 26], [15, 51, 49]] ------------------------------ Epoch 735 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.411133 - Iter 024 / 025, Loss: 0.854077 * Train accuracy / confusion: 72.75% / [[291, 51, 11], [71, 172, 24], [14, 47, 119]], * Val accuracy / confusion: 54.62% / [[155, 56, 19], [72, 79, 24], [19, 46, 50]] ------------------------------ Epoch 736 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.511323 - Iter 024 / 025, Loss: 0.644446 * Train accuracy / confusion: 75.75% / [[305, 40, 9], [63, 175, 30], [14, 38, 126]], * Val accuracy / confusion: 56.35% / [[160, 54, 16], [66, 83, 26], [20, 45, 50]] ------------------------------ Epoch 737 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.758765 - Iter 024 / 025, Loss: 0.600713 * Train accuracy / confusion: 76.25% / [[304, 40, 8], [64, 177, 28], [14, 36, 129]], * Val accuracy / confusion: 56.15% / [[156, 59, 15], [61, 80, 34], [16, 43, 56]] ------------------------------ Epoch 738 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.639195 - Iter 024 / 025, Loss: 0.554083 * Train accuracy / confusion: 72.88% / [[289, 58, 9], [73, 164, 28], [9, 40, 130]], * Val accuracy / confusion: 57.31% / [[162, 53, 15], [61, 89, 25], [18, 50, 47]] ------------------------------ Epoch 739 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.622241 - Iter 024 / 025, Loss: 0.571776 * Train accuracy / confusion: 75.75% / [[293, 47, 11], [61, 185, 26], [10, 39, 128]], * Val accuracy / confusion: 56.15% / [[142, 63, 25], [61, 95, 19], [21, 39, 55]] ------------------------------ Epoch 740 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.531811 - Iter 024 / 025, Loss: 0.560800 * Train accuracy / confusion: 74.75% / [[296, 52, 13], [58, 181, 24], [13, 42, 121]], * Val accuracy / confusion: 57.50% / [[160, 51, 19], [65, 84, 26], [15, 45, 55]] ------------------------------ Epoch 741 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.541608 - Iter 024 / 025, Loss: 0.590104 * Train accuracy / confusion: 75.00% / [[296, 47, 13], [65, 184, 20], [12, 43, 120]], * Val accuracy / confusion: 57.31% / [[163, 49, 18], [62, 88, 25], [19, 49, 47]] ------------------------------ Epoch 742 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.600035 - Iter 024 / 025, Loss: 0.646411 * Train accuracy / confusion: 76.50% / [[301, 50, 8], [64, 179, 22], [12, 32, 132]], * Val accuracy / confusion: 55.19% / [[160, 59, 11], [66, 76, 33], [22, 42, 51]] ------------------------------ Epoch 743 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.432941 - Iter 024 / 025, Loss: 0.462934 * Train accuracy / confusion: 74.88% / [[304, 43, 10], [66, 166, 31], [17, 34, 129]], * Val accuracy / confusion: 59.62% / [[166, 48, 16], [50, 95, 30], [19, 47, 49]] ------------------------------ Epoch 744 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.518820 - Iter 024 / 025, Loss: 0.615389 * Train accuracy / confusion: 76.50% / [[317, 41, 4], [70, 167, 29], [13, 31, 128]], * Val accuracy / confusion: 57.12% / [[165, 48, 17], [72, 83, 20], [19, 47, 49]] ------------------------------ Epoch 745 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.617489 - Iter 024 / 025, Loss: 0.665178 * Train accuracy / confusion: 73.00% / [[297, 42, 14], [83, 165, 24], [15, 38, 122]], * Val accuracy / confusion: 58.65% / [[158, 58, 14], [58, 94, 23], [16, 46, 53]] ------------------------------ Epoch 746 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.753263 - Iter 024 / 025, Loss: 0.468660 * Train accuracy / confusion: 73.88% / [[294, 55, 9], [69, 176, 23], [19, 34, 121]], * Val accuracy / confusion: 58.46% / [[161, 52, 17], [57, 93, 25], [13, 52, 50]] ------------------------------ Epoch 747 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.821117 - Iter 024 / 025, Loss: 0.665726 * Train accuracy / confusion: 72.25% / [[290, 57, 10], [76, 163, 24], [14, 41, 125]], * Val accuracy / confusion: 57.12% / [[154, 51, 25], [60, 87, 28], [13, 46, 56]] ------------------------------ Epoch 748 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.532482 - Iter 024 / 025, Loss: 0.955247 * Train accuracy / confusion: 75.50% / [[303, 40, 10], [64, 177, 29], [11, 42, 124]], * Val accuracy / confusion: 60.58% / [[167, 47, 16], [59, 90, 26], [15, 42, 58]] ------------------------------ Epoch 749 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.556258 - Iter 024 / 025, Loss: 0.572946 * Train accuracy / confusion: 74.75% / [[299, 41, 14], [70, 175, 25], [16, 36, 124]], * Val accuracy / confusion: 58.27% / [[161, 53, 16], [59, 92, 24], [19, 46, 50]] ------------------------------ Epoch 750 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.474408 - Iter 024 / 025, Loss: 0.466923 * Train accuracy / confusion: 74.25% / [[296, 52, 7], [73, 168, 24], [17, 33, 130]], * Val accuracy / confusion: 56.35% / [[156, 62, 12], [68, 89, 18], [20, 47, 48]] ------------------------------ Epoch 751 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.441799 - Iter 024 / 025, Loss: 0.446769 * Train accuracy / confusion: 71.38% / [[284, 60, 16], [73, 167, 24], [10, 46, 120]], * Val accuracy / confusion: 57.31% / [[155, 58, 17], [59, 89, 27], [14, 47, 54]] ------------------------------ Epoch 752 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.897874 - Iter 024 / 025, Loss: 0.594188 * Train accuracy / confusion: 73.50% / [[295, 50, 11], [75, 160, 30], [12, 34, 133]], * Val accuracy / confusion: 58.27% / [[161, 57, 12], [63, 86, 26], [19, 40, 56]] ------------------------------ Epoch 753 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.715094 - Iter 024 / 025, Loss: 0.558832 * Train accuracy / confusion: 72.12% / [[293, 52, 14], [73, 164, 31], [12, 41, 120]], * Val accuracy / confusion: 58.65% / [[162, 49, 19], [53, 94, 28], [14, 52, 49]] ------------------------------ Epoch 754 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.676996 - Iter 024 / 025, Loss: 0.805426 * Train accuracy / confusion: 76.25% / [[293, 46, 18], [56, 190, 19], [16, 35, 127]], * Val accuracy / confusion: 58.08% / [[158, 58, 14], [67, 86, 22], [15, 42, 58]] ------------------------------ Epoch 755 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.727830 - Iter 024 / 025, Loss: 0.547721 * Train accuracy / confusion: 74.88% / [[298, 50, 10], [65, 172, 25], [14, 37, 129]], * Val accuracy / confusion: 60.00% / [[171, 54, 5], [65, 90, 20], [19, 45, 51]] ------------------------------ Epoch 756 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.666277 - Iter 024 / 025, Loss: 0.481239 * Train accuracy / confusion: 77.12% / [[312, 36, 14], [61, 180, 21], [11, 40, 125]], * Val accuracy / confusion: 58.27% / [[156, 58, 16], [63, 95, 17], [16, 47, 52]] ------------------------------ Epoch 757 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.585667 - Iter 024 / 025, Loss: 0.489043 * Train accuracy / confusion: 72.88% / [[293, 47, 18], [75, 160, 28], [12, 37, 130]], * Val accuracy / confusion: 58.46% / [[153, 63, 14], [51, 95, 29], [16, 43, 56]] ------------------------------ Epoch 758 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.585525 - Iter 024 / 025, Loss: 0.582409 * Train accuracy / confusion: 73.12% / [[292, 51, 11], [66, 168, 37], [16, 34, 125]], * Val accuracy / confusion: 59.23% / [[167, 48, 15], [66, 84, 25], [21, 37, 57]] ------------------------------ Epoch 759 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.606968 - Iter 024 / 025, Loss: 0.620819 * Train accuracy / confusion: 74.25% / [[295, 49, 9], [71, 174, 27], [9, 41, 125]], * Val accuracy / confusion: 58.27% / [[156, 54, 20], [61, 89, 25], [14, 43, 58]] ------------------------------ Epoch 760 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.582932 - Iter 024 / 025, Loss: 0.875791 * Train accuracy / confusion: 74.00% / [[297, 54, 7], [66, 177, 22], [15, 44, 118]], * Val accuracy / confusion: 58.46% / [[155, 57, 18], [63, 92, 20], [16, 42, 57]] ------------------------------ Epoch 761 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.570828 - Iter 024 / 025, Loss: 0.494452 * Train accuracy / confusion: 74.62% / [[303, 49, 6], [72, 170, 21], [13, 42, 124]], * Val accuracy / confusion: 57.31% / [[153, 59, 18], [60, 93, 22], [18, 45, 52]] ------------------------------ Epoch 762 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.841439 - Iter 024 / 025, Loss: 0.500748 * Train accuracy / confusion: 73.75% / [[292, 55, 10], [70, 175, 23], [14, 38, 123]], * Val accuracy / confusion: 59.42% / [[161, 60, 9], [64, 96, 15], [19, 44, 52]] ------------------------------ Epoch 763 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.587440 - Iter 024 / 025, Loss: 0.634989 * Train accuracy / confusion: 72.12% / [[287, 51, 18], [75, 172, 23], [12, 44, 118]], * Val accuracy / confusion: 56.54% / [[152, 63, 15], [62, 86, 27], [14, 45, 56]] ------------------------------ Epoch 764 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.537613 - Iter 024 / 025, Loss: 0.833761 * Train accuracy / confusion: 74.50% / [[294, 49, 12], [79, 178, 14], [10, 40, 124]], * Val accuracy / confusion: 60.58% / [[168, 53, 9], [60, 96, 19], [14, 50, 51]] ------------------------------ Epoch 765 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.528615 - Iter 024 / 025, Loss: 0.430099 * Train accuracy / confusion: 73.25% / [[294, 53, 8], [78, 164, 27], [11, 37, 128]], * Val accuracy / confusion: 54.23% / [[144, 71, 15], [57, 87, 31], [18, 46, 51]] ------------------------------ Epoch 766 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.495056 - Iter 024 / 025, Loss: 0.585388 * Train accuracy / confusion: 74.25% / [[304, 43, 11], [77, 159, 28], [17, 30, 131]], * Val accuracy / confusion: 57.12% / [[159, 57, 14], [62, 83, 30], [18, 42, 55]] ------------------------------ Epoch 767 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.498917 - Iter 024 / 025, Loss: 0.591261 * Train accuracy / confusion: 74.00% / [[306, 46, 7], [69, 167, 29], [12, 45, 119]], * Val accuracy / confusion: 55.96% / [[160, 55, 15], [65, 79, 31], [19, 44, 52]] ------------------------------ Epoch 768 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.649426 - Iter 024 / 025, Loss: 0.631532 * Train accuracy / confusion: 74.50% / [[291, 57, 10], [66, 175, 26], [11, 34, 130]], * Val accuracy / confusion: 57.69% / [[158, 59, 13], [59, 84, 32], [17, 40, 58]] ------------------------------ Epoch 769 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.709306 - Iter 024 / 025, Loss: 0.605387 * Train accuracy / confusion: 74.75% / [[303, 48, 8], [73, 167, 24], [13, 36, 128]], * Val accuracy / confusion: 59.23% / [[159, 57, 14], [69, 91, 15], [14, 43, 58]] ------------------------------ Epoch 770 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.500216 - Iter 024 / 025, Loss: 0.501281 * Train accuracy / confusion: 77.00% / [[293, 48, 12], [62, 189, 19], [15, 28, 134]], * Val accuracy / confusion: 60.00% / [[157, 55, 18], [58, 99, 18], [10, 49, 56]] ------------------------------ Epoch 771 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.483420 - Iter 024 / 025, Loss: 0.401436 * Train accuracy / confusion: 73.62% / [[301, 53, 4], [78, 162, 24], [16, 36, 126]], * Val accuracy / confusion: 56.73% / [[160, 53, 17], [70, 72, 33], [19, 33, 63]] ------------------------------ Epoch 772 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.621630 - Iter 024 / 025, Loss: 0.572072 * Train accuracy / confusion: 75.38% / [[299, 41, 14], [71, 179, 24], [10, 37, 125]], * Val accuracy / confusion: 58.08% / [[163, 51, 16], [59, 84, 32], [19, 41, 55]] ------------------------------ Epoch 773 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.565752 - Iter 024 / 025, Loss: 0.629474 * Train accuracy / confusion: 75.00% / [[305, 39, 14], [62, 171, 33], [16, 36, 124]], * Val accuracy / confusion: 59.23% / [[159, 59, 12], [58, 93, 24], [15, 44, 56]] ------------------------------ Epoch 774 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.621113 - Iter 024 / 025, Loss: 0.636750 * Train accuracy / confusion: 74.25% / [[299, 46, 9], [64, 173, 33], [15, 39, 122]], * Val accuracy / confusion: 57.31% / [[162, 54, 14], [68, 81, 26], [18, 42, 55]] ------------------------------ Epoch 775 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.633646 - Iter 024 / 025, Loss: 0.707375 * Train accuracy / confusion: 72.38% / [[286, 57, 6], [83, 168, 21], [15, 39, 125]], * Val accuracy / confusion: 56.15% / [[149, 67, 14], [53, 94, 28], [18, 48, 49]] ------------------------------ Epoch 776 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.427259 - Iter 024 / 025, Loss: 0.618557 * Train accuracy / confusion: 75.38% / [[294, 47, 15], [71, 180, 20], [13, 31, 129]], * Val accuracy / confusion: 59.42% / [[166, 49, 15], [62, 88, 25], [17, 43, 55]] ------------------------------ Epoch 777 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.584991 - Iter 024 / 025, Loss: 0.520703 * Train accuracy / confusion: 74.12% / [[294, 48, 15], [61, 182, 24], [18, 41, 117]], * Val accuracy / confusion: 57.50% / [[153, 64, 13], [57, 90, 28], [15, 44, 56]] ------------------------------ Epoch 778 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.480055 - Iter 024 / 025, Loss: 0.689510 * Train accuracy / confusion: 77.00% / [[305, 41, 8], [54, 182, 30], [12, 39, 129]], * Val accuracy / confusion: 59.42% / [[158, 53, 19], [56, 96, 23], [16, 44, 55]] ------------------------------ Epoch 779 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.664303 - Iter 024 / 025, Loss: 0.578319 * Train accuracy / confusion: 74.38% / [[301, 52, 4], [69, 170, 30], [14, 36, 124]], * Val accuracy / confusion: 55.77% / [[162, 47, 21], [73, 74, 28], [18, 43, 54]] ------------------------------ Epoch 780 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.446764 - Iter 024 / 025, Loss: 0.555847 * Train accuracy / confusion: 74.00% / [[300, 45, 13], [69, 173, 25], [10, 46, 119]], * Val accuracy / confusion: 58.85% / [[154, 55, 21], [53, 97, 25], [15, 45, 55]] ------------------------------ Epoch 781 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.548015 - Iter 024 / 025, Loss: 0.478530 * Train accuracy / confusion: 76.62% / [[302, 50, 5], [65, 183, 20], [12, 35, 128]], * Val accuracy / confusion: 56.92% / [[152, 53, 25], [61, 82, 32], [13, 40, 62]] ------------------------------ Epoch 782 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.691284 - Iter 024 / 025, Loss: 0.576259 * Train accuracy / confusion: 74.12% / [[300, 46, 14], [58, 179, 29], [16, 44, 114]], * Val accuracy / confusion: 57.50% / [[156, 55, 19], [58, 94, 23], [20, 46, 49]] ------------------------------ Epoch 783 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.756489 - Iter 024 / 025, Loss: 0.478287 * Train accuracy / confusion: 75.38% / [[304, 44, 11], [72, 167, 24], [9, 37, 132]], * Val accuracy / confusion: 58.85% / [[158, 58, 14], [63, 87, 25], [13, 41, 61]] ------------------------------ Epoch 784 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.499752 - Iter 024 / 025, Loss: 0.433261 * Train accuracy / confusion: 74.38% / [[293, 58, 10], [70, 171, 28], [14, 25, 131]], * Val accuracy / confusion: 57.88% / [[154, 53, 23], [59, 83, 33], [14, 37, 64]] ------------------------------ Epoch 785 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.718861 - Iter 024 / 025, Loss: 0.447961 * Train accuracy / confusion: 73.50% / [[297, 54, 8], [71, 171, 26], [17, 36, 120]], * Val accuracy / confusion: 56.73% / [[157, 57, 16], [58, 88, 29], [20, 45, 50]] ------------------------------ Epoch 786 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.596431 - Iter 024 / 025, Loss: 0.747492 * Train accuracy / confusion: 74.88% / [[290, 55, 11], [62, 181, 24], [14, 35, 128]], * Val accuracy / confusion: 56.35% / [[161, 51, 18], [65, 80, 30], [18, 45, 52]] ------------------------------ Epoch 787 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.447237 - Iter 024 / 025, Loss: 0.398298 * Train accuracy / confusion: 75.38% / [[307, 42, 10], [65, 167, 31], [12, 37, 129]], * Val accuracy / confusion: 59.42% / [[166, 52, 12], [56, 87, 32], [16, 43, 56]] ------------------------------ Epoch 788 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.381835 - Iter 024 / 025, Loss: 0.504718 * Train accuracy / confusion: 75.75% / [[296, 48, 8], [63, 183, 25], [14, 36, 127]], * Val accuracy / confusion: 56.35% / [[147, 66, 17], [69, 89, 17], [18, 40, 57]] ------------------------------ Epoch 789 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.540815 - Iter 024 / 025, Loss: 0.768832 * Train accuracy / confusion: 76.62% / [[303, 42, 10], [64, 181, 25], [10, 36, 129]], * Val accuracy / confusion: 57.12% / [[159, 55, 16], [60, 86, 29], [15, 48, 52]] ------------------------------ Epoch 790 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.503573 - Iter 024 / 025, Loss: 0.473730 * Train accuracy / confusion: 74.00% / [[296, 46, 12], [75, 171, 25], [15, 35, 125]], * Val accuracy / confusion: 56.35% / [[165, 52, 13], [67, 80, 28], [19, 48, 48]] ------------------------------ Epoch 791 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.473379 - Iter 024 / 025, Loss: 0.509839 * Train accuracy / confusion: 75.00% / [[294, 50, 12], [66, 179, 21], [16, 35, 127]], * Val accuracy / confusion: 57.50% / [[158, 53, 19], [59, 95, 21], [18, 51, 46]] ------------------------------ Epoch 792 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.518573 - Iter 024 / 025, Loss: 0.362498 * Train accuracy / confusion: 75.88% / [[296, 52, 12], [58, 182, 23], [16, 32, 129]], * Val accuracy / confusion: 57.50% / [[160, 55, 15], [64, 85, 26], [14, 47, 54]] ------------------------------ Epoch 793 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.672090 - Iter 024 / 025, Loss: 0.633864 * Train accuracy / confusion: 73.38% / [[298, 49, 7], [69, 171, 27], [18, 43, 118]], * Val accuracy / confusion: 58.65% / [[174, 43, 13], [70, 75, 30], [21, 38, 56]] ------------------------------ Epoch 794 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.350202 - Iter 024 / 025, Loss: 0.456996 * Train accuracy / confusion: 74.75% / [[296, 50, 12], [73, 167, 27], [10, 30, 135]], * Val accuracy / confusion: 55.58% / [[151, 48, 31], [61, 81, 33], [20, 38, 57]] ------------------------------ Epoch 795 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.801579 - Iter 024 / 025, Loss: 0.673543 * Train accuracy / confusion: 74.75% / [[295, 48, 15], [68, 175, 25], [11, 35, 128]], * Val accuracy / confusion: 57.31% / [[151, 62, 17], [61, 93, 21], [19, 42, 54]] ------------------------------ Epoch 796 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.649912 - Iter 024 / 025, Loss: 0.769458 * Train accuracy / confusion: 76.62% / [[307, 41, 9], [62, 181, 27], [13, 35, 125]], * Val accuracy / confusion: 57.50% / [[167, 49, 14], [71, 78, 26], [17, 44, 54]] ------------------------------ Epoch 797 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.592601 - Iter 024 / 025, Loss: 0.620850 * Train accuracy / confusion: 77.00% / [[306, 44, 11], [61, 172, 29], [12, 27, 138]], * Val accuracy / confusion: 57.88% / [[165, 55, 10], [78, 82, 15], [22, 39, 54]] ------------------------------ Epoch 798 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.578333 - Iter 024 / 025, Loss: 0.456380 * Train accuracy / confusion: 75.50% / [[307, 40, 16], [68, 171, 23], [11, 38, 126]], * Val accuracy / confusion: 60.00% / [[164, 51, 15], [61, 97, 17], [15, 49, 51]] ------------------------------ Epoch 799 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.775921 - Iter 024 / 025, Loss: 0.535606 * Train accuracy / confusion: 74.38% / [[289, 52, 14], [69, 175, 23], [15, 32, 131]], * Val accuracy / confusion: 59.81% / [[166, 49, 15], [65, 88, 22], [23, 35, 57]] ------------------------------ Epoch 800 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.713626 - Iter 024 / 025, Loss: 0.487252 * Train accuracy / confusion: 72.88% / [[293, 45, 15], [75, 163, 31], [13, 38, 127]], * Val accuracy / confusion: 59.42% / [[169, 52, 9], [64, 87, 24], [19, 43, 53]] ------------------------------ Epoch 801 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.559639 - Iter 024 / 025, Loss: 0.570062 * Train accuracy / confusion: 73.75% / [[290, 50, 15], [70, 181, 20], [13, 42, 119]], * Val accuracy / confusion: 57.69% / [[155, 59, 16], [58, 93, 24], [13, 50, 52]] ------------------------------ Epoch 802 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.532514 - Iter 024 / 025, Loss: 0.575492 * Train accuracy / confusion: 73.88% / [[304, 46, 7], [70, 163, 32], [12, 42, 124]], * Val accuracy / confusion: 57.12% / [[149, 59, 22], [59, 86, 30], [13, 40, 62]] ------------------------------ Epoch 803 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.553538 - Iter 024 / 025, Loss: 0.500375 * Train accuracy / confusion: 74.75% / [[295, 51, 11], [67, 171, 27], [9, 37, 132]], * Val accuracy / confusion: 55.77% / [[161, 48, 21], [67, 69, 39], [19, 36, 60]] ------------------------------ Epoch 804 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.495790 - Iter 024 / 025, Loss: 0.314630 * Train accuracy / confusion: 73.62% / [[285, 60, 13], [64, 178, 24], [16, 34, 126]], * Val accuracy / confusion: 59.81% / [[167, 50, 13], [64, 89, 22], [22, 38, 55]] ------------------------------ Epoch 805 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.440249 - Iter 024 / 025, Loss: 0.818673 * Train accuracy / confusion: 74.38% / [[295, 52, 12], [64, 170, 30], [13, 34, 130]], * Val accuracy / confusion: 58.65% / [[160, 54, 16], [55, 93, 27], [20, 43, 52]] ------------------------------ Epoch 806 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.424855 - Iter 024 / 025, Loss: 0.469080 * Train accuracy / confusion: 75.50% / [[300, 49, 6], [72, 170, 24], [15, 30, 134]], * Val accuracy / confusion: 57.12% / [[164, 52, 14], [67, 80, 28], [16, 46, 53]] ------------------------------ Epoch 807 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.707417 - Iter 024 / 025, Loss: 0.574116 * Train accuracy / confusion: 76.50% / [[306, 43, 7], [67, 181, 24], [17, 30, 125]], * Val accuracy / confusion: 58.27% / [[166, 50, 14], [67, 84, 24], [19, 43, 53]] ------------------------------ Epoch 808 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.682201 - Iter 024 / 025, Loss: 0.494109 * Train accuracy / confusion: 75.38% / [[296, 52, 10], [62, 172, 31], [12, 30, 135]], * Val accuracy / confusion: 57.69% / [[162, 51, 17], [73, 88, 14], [24, 41, 50]] ------------------------------ Epoch 809 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.638647 - Iter 024 / 025, Loss: 0.859523 * Train accuracy / confusion: 74.75% / [[297, 53, 10], [76, 170, 18], [12, 33, 131]], * Val accuracy / confusion: 56.73% / [[159, 53, 18], [70, 80, 25], [17, 42, 56]] ------------------------------ Epoch 810 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.618903 - Iter 024 / 025, Loss: 0.595940 * Train accuracy / confusion: 74.75% / [[301, 46, 13], [67, 172, 28], [14, 34, 125]], * Val accuracy / confusion: 58.65% / [[157, 53, 20], [63, 90, 22], [16, 41, 58]] ------------------------------ Epoch 811 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.624660 - Iter 024 / 025, Loss: 0.597381 * Train accuracy / confusion: 74.50% / [[302, 46, 8], [80, 158, 26], [8, 36, 136]], * Val accuracy / confusion: 57.50% / [[160, 52, 18], [56, 86, 33], [14, 48, 53]] ------------------------------ Epoch 812 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.668042 - Iter 024 / 025, Loss: 0.480999 * Train accuracy / confusion: 72.62% / [[298, 47, 15], [75, 156, 33], [15, 34, 127]], * Val accuracy / confusion: 60.38% / [[160, 57, 13], [54, 98, 23], [17, 42, 56]] ------------------------------ Epoch 813 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.783280 - Iter 024 / 025, Loss: 0.489745 * Train accuracy / confusion: 75.88% / [[306, 40, 9], [60, 179, 29], [11, 44, 122]], * Val accuracy / confusion: 57.69% / [[154, 59, 17], [59, 87, 29], [15, 41, 59]] ------------------------------ Epoch 814 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.428889 - Iter 024 / 025, Loss: 0.537359 * Train accuracy / confusion: 75.38% / [[295, 46, 14], [59, 181, 26], [7, 45, 127]], * Val accuracy / confusion: 58.08% / [[164, 50, 16], [72, 83, 20], [18, 42, 55]] ------------------------------ Epoch 815 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.497339 - Iter 024 / 025, Loss: 0.947322 * Train accuracy / confusion: 74.50% / [[296, 47, 13], [68, 173, 26], [14, 36, 127]], * Val accuracy / confusion: 59.81% / [[164, 50, 16], [68, 90, 17], [13, 45, 57]] ------------------------------ Epoch 816 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.619818 - Iter 024 / 025, Loss: 0.495875 * Train accuracy / confusion: 74.50% / [[295, 49, 12], [74, 172, 22], [14, 33, 129]], * Val accuracy / confusion: 58.27% / [[158, 59, 13], [64, 79, 32], [15, 34, 66]] ------------------------------ Epoch 817 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.600769 - Iter 024 / 025, Loss: 0.592412 * Train accuracy / confusion: 76.12% / [[306, 43, 8], [62, 175, 27], [20, 31, 128]], * Val accuracy / confusion: 57.31% / [[159, 58, 13], [72, 83, 20], [22, 37, 56]] ------------------------------ Epoch 818 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.588051 - Iter 024 / 025, Loss: 0.666166 * Train accuracy / confusion: 74.25% / [[303, 52, 5], [61, 169, 33], [11, 44, 122]], * Val accuracy / confusion: 56.54% / [[163, 50, 17], [70, 84, 21], [20, 48, 47]] ------------------------------ Epoch 819 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.509570 - Iter 024 / 025, Loss: 0.856145 * Train accuracy / confusion: 73.38% / [[305, 42, 8], [71, 168, 30], [18, 44, 114]], * Val accuracy / confusion: 57.31% / [[167, 47, 16], [77, 71, 27], [20, 35, 60]] ------------------------------ Epoch 820 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.590659 - Iter 024 / 025, Loss: 0.695529 * Train accuracy / confusion: 77.12% / [[303, 42, 12], [66, 179, 21], [12, 30, 135]], * Val accuracy / confusion: 58.46% / [[163, 52, 15], [63, 79, 33], [15, 38, 62]] ------------------------------ Epoch 821 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.936301 - Iter 024 / 025, Loss: 0.669739 * Train accuracy / confusion: 76.00% / [[300, 42, 14], [57, 176, 32], [10, 37, 132]], * Val accuracy / confusion: 56.92% / [[151, 60, 19], [58, 84, 33], [19, 35, 61]] ------------------------------ Epoch 822 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.453538 - Iter 024 / 025, Loss: 0.782771 * Train accuracy / confusion: 76.88% / [[304, 36, 17], [67, 188, 15], [14, 36, 123]], * Val accuracy / confusion: 56.92% / [[166, 52, 12], [69, 78, 28], [21, 42, 52]] ------------------------------ Epoch 823 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.443383 - Iter 024 / 025, Loss: 0.482565 * Train accuracy / confusion: 73.75% / [[290, 52, 15], [74, 174, 21], [11, 37, 126]], * Val accuracy / confusion: 54.62% / [[156, 53, 21], [69, 82, 24], [19, 50, 46]] ------------------------------ Epoch 824 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.579103 - Iter 024 / 025, Loss: 0.364195 * Train accuracy / confusion: 75.38% / [[305, 38, 10], [73, 178, 21], [18, 37, 120]], * Val accuracy / confusion: 56.92% / [[161, 49, 20], [72, 86, 17], [22, 44, 49]] ------------------------------ Epoch 825 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.600931 - Iter 024 / 025, Loss: 0.629514 * Train accuracy / confusion: 75.75% / [[294, 43, 18], [64, 181, 23], [12, 34, 131]], * Val accuracy / confusion: 58.65% / [[160, 55, 15], [62, 96, 17], [13, 53, 49]] ------------------------------ Epoch 826 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.667519 - Iter 024 / 025, Loss: 0.524992 * Train accuracy / confusion: 75.75% / [[298, 47, 12], [64, 177, 25], [13, 33, 131]], * Val accuracy / confusion: 56.92% / [[157, 61, 12], [58, 91, 26], [18, 49, 48]] ------------------------------ Epoch 827 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.712991 - Iter 024 / 025, Loss: 0.497307 * Train accuracy / confusion: 72.88% / [[296, 52, 11], [74, 166, 29], [13, 38, 121]], * Val accuracy / confusion: 58.65% / [[161, 52, 17], [56, 94, 25], [17, 48, 50]] ------------------------------ Epoch 828 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.527484 - Iter 024 / 025, Loss: 0.649063 * Train accuracy / confusion: 72.50% / [[287, 52, 14], [73, 170, 25], [17, 39, 123]], * Val accuracy / confusion: 58.85% / [[158, 56, 16], [58, 89, 28], [15, 41, 59]] ------------------------------ Epoch 829 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.513746 - Iter 024 / 025, Loss: 0.466886 * Train accuracy / confusion: 76.38% / [[303, 44, 8], [62, 173, 33], [7, 35, 135]], * Val accuracy / confusion: 59.04% / [[165, 49, 16], [66, 83, 26], [14, 42, 59]] ------------------------------ Epoch 830 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.503305 - Iter 024 / 025, Loss: 0.547307 * Train accuracy / confusion: 76.00% / [[302, 48, 8], [61, 178, 29], [17, 29, 128]], * Val accuracy / confusion: 57.12% / [[161, 53, 16], [70, 84, 21], [23, 40, 52]] ------------------------------ Epoch 831 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.512885 - Iter 024 / 025, Loss: 0.654040 * Train accuracy / confusion: 75.25% / [[302, 52, 4], [65, 180, 22], [10, 45, 120]], * Val accuracy / confusion: 59.23% / [[158, 59, 13], [58, 101, 16], [20, 46, 49]] ------------------------------ Epoch 832 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.557494 - Iter 024 / 025, Loss: 0.401083 * Train accuracy / confusion: 74.75% / [[291, 53, 12], [69, 176, 24], [15, 29, 131]], * Val accuracy / confusion: 56.54% / [[159, 58, 13], [71, 84, 20], [21, 43, 51]] ------------------------------ Epoch 833 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.622265 - Iter 024 / 025, Loss: 0.394443 * Train accuracy / confusion: 74.62% / [[293, 49, 16], [65, 179, 22], [13, 38, 125]], * Val accuracy / confusion: 58.65% / [[162, 52, 16], [66, 85, 24], [17, 40, 58]] ------------------------------ Epoch 834 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.492759 - Iter 024 / 025, Loss: 0.409168 * Train accuracy / confusion: 77.25% / [[300, 49, 7], [68, 180, 19], [13, 26, 138]], * Val accuracy / confusion: 56.92% / [[151, 57, 22], [64, 91, 20], [23, 38, 54]] ------------------------------ Epoch 835 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.654216 - Iter 024 / 025, Loss: 0.464247 * Train accuracy / confusion: 73.12% / [[289, 53, 12], [70, 172, 28], [11, 41, 124]], * Val accuracy / confusion: 57.88% / [[155, 63, 12], [60, 95, 20], [21, 43, 51]] ------------------------------ Epoch 836 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.471923 - Iter 024 / 025, Loss: 0.532467 * Train accuracy / confusion: 72.12% / [[298, 49, 11], [72, 160, 35], [19, 37, 119]], * Val accuracy / confusion: 59.42% / [[165, 49, 16], [60, 91, 24], [17, 45, 53]] ------------------------------ Epoch 837 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.778814 - Iter 024 / 025, Loss: 0.810218 * Train accuracy / confusion: 74.75% / [[299, 52, 10], [59, 180, 30], [18, 33, 119]], * Val accuracy / confusion: 57.50% / [[161, 55, 14], [65, 82, 28], [17, 42, 56]] ------------------------------ Epoch 838 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.747455 - Iter 024 / 025, Loss: 0.746029 * Train accuracy / confusion: 72.75% / [[290, 53, 13], [62, 168, 35], [18, 37, 124]], * Val accuracy / confusion: 58.08% / [[155, 58, 17], [64, 94, 17], [20, 42, 53]] ------------------------------ Epoch 839 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.570971 - Iter 024 / 025, Loss: 0.645603 * Train accuracy / confusion: 74.25% / [[289, 49, 20], [66, 180, 21], [17, 33, 125]], * Val accuracy / confusion: 59.04% / [[164, 49, 17], [63, 93, 19], [18, 47, 50]] ------------------------------ Epoch 840 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.621406 - Iter 024 / 025, Loss: 0.916138 * Train accuracy / confusion: 75.88% / [[302, 42, 14], [66, 181, 22], [15, 34, 124]], * Val accuracy / confusion: 59.62% / [[157, 54, 19], [54, 96, 25], [16, 42, 57]] ------------------------------ Epoch 841 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.614335 - Iter 024 / 025, Loss: 0.706106 * Train accuracy / confusion: 74.12% / [[291, 61, 6], [69, 170, 28], [14, 29, 132]], * Val accuracy / confusion: 56.73% / [[153, 62, 15], [71, 80, 24], [15, 38, 62]] ------------------------------ Epoch 842 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.688451 - Iter 024 / 025, Loss: 0.749680 * Train accuracy / confusion: 76.12% / [[307, 39, 9], [72, 173, 24], [12, 35, 129]], * Val accuracy / confusion: 59.23% / [[156, 59, 15], [65, 95, 15], [21, 37, 57]] ------------------------------ Epoch 843 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.783724 - Iter 024 / 025, Loss: 0.783266 * Train accuracy / confusion: 74.88% / [[298, 47, 13], [71, 174, 21], [14, 35, 127]], * Val accuracy / confusion: 59.23% / [[160, 53, 17], [62, 89, 24], [15, 41, 59]] ------------------------------ Epoch 844 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.564573 - Iter 024 / 025, Loss: 0.770001 * Train accuracy / confusion: 75.62% / [[296, 48, 10], [59, 181, 29], [13, 36, 128]], * Val accuracy / confusion: 55.96% / [[155, 59, 16], [69, 82, 24], [21, 40, 54]] ------------------------------ Epoch 845 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.585916 - Iter 024 / 025, Loss: 0.560267 * Train accuracy / confusion: 77.12% / [[311, 31, 10], [72, 178, 24], [13, 33, 128]], * Val accuracy / confusion: 56.35% / [[151, 58, 21], [61, 90, 24], [17, 46, 52]] ------------------------------ Epoch 846 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.537302 - Iter 024 / 025, Loss: 0.653044 * Train accuracy / confusion: 73.62% / [[297, 48, 10], [77, 160, 29], [10, 37, 132]], * Val accuracy / confusion: 60.38% / [[154, 62, 14], [55, 109, 11], [16, 48, 51]] ------------------------------ Epoch 847 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.554048 - Iter 024 / 025, Loss: 0.568747 * Train accuracy / confusion: 73.12% / [[287, 60, 10], [69, 177, 21], [13, 42, 121]], * Val accuracy / confusion: 56.35% / [[147, 66, 17], [64, 93, 18], [20, 42, 53]] ------------------------------ Epoch 848 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.712435 - Iter 024 / 025, Loss: 0.814481 * Train accuracy / confusion: 75.25% / [[295, 49, 13], [67, 175, 22], [9, 38, 132]], * Val accuracy / confusion: 57.31% / [[161, 56, 13], [64, 89, 22], [19, 48, 48]] ------------------------------ Epoch 849 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.768156 - Iter 024 / 025, Loss: 0.567392 * Train accuracy / confusion: 74.50% / [[297, 48, 11], [66, 175, 28], [10, 41, 124]], * Val accuracy / confusion: 59.23% / [[159, 57, 14], [64, 93, 18], [17, 42, 56]] ------------------------------ Epoch 850 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.639672 - Iter 024 / 025, Loss: 0.653400 * Train accuracy / confusion: 76.62% / [[293, 51, 13], [56, 190, 20], [17, 30, 130]], * Val accuracy / confusion: 56.73% / [[160, 56, 14], [63, 90, 22], [18, 52, 45]] ------------------------------ Epoch 851 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.686845 - Iter 024 / 025, Loss: 0.543354 * Train accuracy / confusion: 74.50% / [[291, 51, 12], [67, 182, 23], [24, 27, 123]], * Val accuracy / confusion: 57.88% / [[166, 55, 9], [66, 87, 22], [21, 46, 48]] ------------------------------ Epoch 852 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.025279 - Iter 024 / 025, Loss: 0.367389 * Train accuracy / confusion: 72.88% / [[293, 48, 12], [75, 170, 27], [13, 42, 120]], * Val accuracy / confusion: 55.19% / [[156, 61, 13], [65, 87, 23], [18, 53, 44]] ------------------------------ Epoch 853 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.574818 - Iter 024 / 025, Loss: 0.546091 * Train accuracy / confusion: 75.50% / [[292, 52, 12], [65, 183, 21], [14, 32, 129]], * Val accuracy / confusion: 55.58% / [[152, 54, 24], [72, 81, 22], [19, 40, 56]] ------------------------------ Epoch 854 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.555299 - Iter 024 / 025, Loss: 0.485216 * Train accuracy / confusion: 74.88% / [[296, 49, 12], [65, 179, 24], [16, 35, 124]], * Val accuracy / confusion: 56.92% / [[160, 53, 17], [71, 81, 23], [16, 44, 55]] ------------------------------ Epoch 855 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.416348 - Iter 024 / 025, Loss: 0.441092 * Train accuracy / confusion: 75.25% / [[295, 50, 10], [63, 178, 27], [9, 39, 129]], * Val accuracy / confusion: 56.92% / [[163, 47, 20], [70, 84, 21], [19, 47, 49]] ------------------------------ Epoch 856 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.548480 - Iter 024 / 025, Loss: 0.530200 * Train accuracy / confusion: 74.38% / [[303, 50, 6], [68, 172, 26], [17, 38, 120]], * Val accuracy / confusion: 57.31% / [[156, 61, 13], [62, 89, 24], [15, 47, 53]] ------------------------------ Epoch 857 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.797027 - Iter 024 / 025, Loss: 0.611046 * Train accuracy / confusion: 75.38% / [[298, 49, 12], [60, 175, 28], [14, 34, 130]], * Val accuracy / confusion: 56.54% / [[152, 54, 24], [64, 87, 24], [16, 44, 55]] ------------------------------ Epoch 858 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.486718 - Iter 024 / 025, Loss: 0.524172 * Train accuracy / confusion: 76.38% / [[298, 49, 14], [69, 174, 19], [12, 26, 139]], * Val accuracy / confusion: 57.12% / [[153, 64, 13], [58, 87, 30], [20, 38, 57]] ------------------------------ Epoch 859 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.577410 - Iter 024 / 025, Loss: 0.604075 * Train accuracy / confusion: 75.00% / [[296, 49, 11], [62, 174, 30], [17, 31, 130]], * Val accuracy / confusion: 57.69% / [[157, 61, 12], [54, 88, 33], [16, 44, 55]] ------------------------------ Epoch 860 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.349345 - Iter 024 / 025, Loss: 0.529471 * Train accuracy / confusion: 74.75% / [[295, 48, 13], [55, 183, 28], [17, 41, 120]], * Val accuracy / confusion: 56.35% / [[149, 63, 18], [58, 90, 27], [18, 43, 54]] ------------------------------ Epoch 861 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.540264 - Iter 024 / 025, Loss: 0.452173 * Train accuracy / confusion: 75.12% / [[308, 41, 8], [64, 181, 23], [18, 45, 112]], * Val accuracy / confusion: 58.46% / [[161, 56, 13], [60, 91, 24], [16, 47, 52]] ------------------------------ Epoch 862 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.565127 - Iter 024 / 025, Loss: 0.428599 * Train accuracy / confusion: 75.62% / [[299, 42, 15], [64, 179, 26], [18, 30, 127]], * Val accuracy / confusion: 58.46% / [[157, 61, 12], [60, 100, 15], [23, 45, 47]] ------------------------------ Epoch 863 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.665301 - Iter 024 / 025, Loss: 0.659060 * Train accuracy / confusion: 75.00% / [[289, 60, 7], [67, 181, 21], [9, 36, 130]], * Val accuracy / confusion: 55.96% / [[159, 54, 17], [59, 82, 34], [16, 49, 50]] ------------------------------ Epoch 864 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.779404 - Iter 024 / 025, Loss: 0.476700 * Train accuracy / confusion: 75.38% / [[300, 48, 10], [66, 171, 30], [9, 34, 132]], * Val accuracy / confusion: 59.04% / [[160, 46, 24], [60, 84, 31], [21, 31, 63]] ------------------------------ Epoch 865 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.538223 - Iter 024 / 025, Loss: 0.611261 * Train accuracy / confusion: 76.38% / [[300, 46, 11], [65, 180, 22], [13, 32, 131]], * Val accuracy / confusion: 55.00% / [[160, 46, 24], [72, 79, 24], [18, 50, 47]] ------------------------------ Epoch 866 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.551700 - Iter 024 / 025, Loss: 0.476862 * Train accuracy / confusion: 76.12% / [[301, 46, 13], [64, 185, 20], [13, 35, 123]], * Val accuracy / confusion: 56.15% / [[156, 63, 11], [68, 81, 26], [24, 36, 55]] ------------------------------ Epoch 867 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.613253 - Iter 024 / 025, Loss: 0.558651 * Train accuracy / confusion: 73.25% / [[287, 52, 15], [73, 174, 23], [15, 36, 125]], * Val accuracy / confusion: 57.69% / [[157, 56, 17], [68, 88, 19], [19, 41, 55]] ------------------------------ Epoch 868 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.542718 - Iter 024 / 025, Loss: 0.668912 * Train accuracy / confusion: 73.50% / [[287, 60, 7], [72, 180, 18], [13, 42, 121]], * Val accuracy / confusion: 58.65% / [[162, 53, 15], [68, 85, 22], [22, 35, 58]] ------------------------------ Epoch 869 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.405806 - Iter 024 / 025, Loss: 0.488240 * Train accuracy / confusion: 74.25% / [[291, 54, 12], [69, 172, 25], [13, 33, 131]], * Val accuracy / confusion: 53.65% / [[147, 64, 19], [64, 76, 35], [18, 41, 56]] ------------------------------ Epoch 870 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.556817 - Iter 024 / 025, Loss: 0.652546 * Train accuracy / confusion: 73.50% / [[285, 61, 11], [67, 176, 24], [19, 30, 127]], * Val accuracy / confusion: 56.35% / [[154, 54, 22], [62, 85, 28], [19, 42, 54]] ------------------------------ Epoch 871 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.431789 - Iter 024 / 025, Loss: 0.583172 * Train accuracy / confusion: 77.50% / [[295, 46, 15], [56, 193, 19], [16, 28, 132]], * Val accuracy / confusion: 58.46% / [[154, 61, 15], [58, 97, 20], [20, 42, 53]] ------------------------------ Epoch 872 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.748303 - Iter 024 / 025, Loss: 0.584625 * Train accuracy / confusion: 74.00% / [[299, 51, 8], [64, 175, 32], [10, 43, 118]], * Val accuracy / confusion: 56.35% / [[153, 55, 22], [63, 84, 28], [21, 38, 56]] ------------------------------ Epoch 873 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.567211 - Iter 024 / 025, Loss: 0.753882 * Train accuracy / confusion: 75.75% / [[292, 51, 10], [63, 191, 15], [18, 37, 123]], * Val accuracy / confusion: 56.54% / [[157, 57, 16], [68, 79, 28], [14, 43, 58]] ------------------------------ Epoch 874 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.482542 - Iter 024 / 025, Loss: 0.697687 * Train accuracy / confusion: 74.75% / [[302, 43, 12], [66, 173, 29], [12, 40, 123]], * Val accuracy / confusion: 57.69% / [[152, 54, 24], [51, 92, 32], [15, 44, 56]] ------------------------------ Epoch 875 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.407091 - Iter 024 / 025, Loss: 0.539805 * Train accuracy / confusion: 73.50% / [[295, 54, 9], [78, 165, 24], [5, 42, 128]], * Val accuracy / confusion: 58.27% / [[158, 53, 19], [52, 90, 33], [18, 42, 55]] ------------------------------ Epoch 876 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.377480 - Iter 024 / 025, Loss: 0.578924 * Train accuracy / confusion: 76.88% / [[308, 41, 6], [71, 173, 23], [10, 34, 134]], * Val accuracy / confusion: 55.19% / [[146, 70, 14], [65, 94, 16], [16, 52, 47]] ------------------------------ Epoch 877 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.626895 - Iter 024 / 025, Loss: 0.739322 * Train accuracy / confusion: 74.62% / [[292, 51, 15], [68, 176, 23], [11, 35, 129]], * Val accuracy / confusion: 58.85% / [[158, 56, 16], [59, 88, 28], [16, 39, 60]] ------------------------------ Epoch 878 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.611665 - Iter 024 / 025, Loss: 0.672498 * Train accuracy / confusion: 75.50% / [[294, 50, 12], [60, 182, 25], [17, 32, 128]], * Val accuracy / confusion: 61.15% / [[162, 52, 16], [58, 99, 18], [18, 40, 57]] ------------------------------ Epoch 879 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.528342 - Iter 024 / 025, Loss: 0.405604 * Train accuracy / confusion: 75.50% / [[297, 49, 8], [68, 175, 26], [8, 37, 132]], * Val accuracy / confusion: 58.85% / [[164, 50, 16], [64, 91, 20], [17, 47, 51]] ------------------------------ Epoch 880 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.781897 - Iter 024 / 025, Loss: 0.551841 * Train accuracy / confusion: 74.00% / [[291, 48, 12], [70, 177, 26], [18, 34, 124]], * Val accuracy / confusion: 59.81% / [[156, 56, 18], [52, 97, 26], [16, 41, 58]] ------------------------------ Epoch 881 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.595398 - Iter 024 / 025, Loss: 0.487895 * Train accuracy / confusion: 77.50% / [[300, 43, 12], [58, 192, 18], [14, 35, 128]], * Val accuracy / confusion: 56.73% / [[166, 45, 19], [69, 74, 32], [23, 37, 55]] ------------------------------ Epoch 882 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.494100 - Iter 024 / 025, Loss: 0.706352 * Train accuracy / confusion: 74.88% / [[293, 56, 8], [66, 182, 20], [13, 38, 124]], * Val accuracy / confusion: 57.50% / [[157, 56, 17], [60, 90, 25], [14, 49, 52]] ------------------------------ Epoch 883 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.511083 - Iter 024 / 025, Loss: 0.416406 * Train accuracy / confusion: 75.75% / [[293, 58, 11], [53, 185, 25], [11, 36, 128]], * Val accuracy / confusion: 54.04% / [[149, 65, 16], [55, 82, 38], [19, 46, 50]] ------------------------------ Epoch 884 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.468243 - Iter 024 / 025, Loss: 0.719219 * Train accuracy / confusion: 75.25% / [[299, 50, 9], [73, 173, 21], [9, 36, 130]], * Val accuracy / confusion: 55.96% / [[160, 52, 18], [67, 76, 32], [18, 42, 55]] ------------------------------ Epoch 885 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.558925 - Iter 024 / 025, Loss: 1.121169 * Train accuracy / confusion: 75.75% / [[298, 50, 9], [60, 183, 22], [17, 36, 125]], * Val accuracy / confusion: 57.50% / [[168, 51, 11], [63, 87, 25], [20, 51, 44]] ------------------------------ Epoch 886 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.555395 - Iter 024 / 025, Loss: 0.580517 * Train accuracy / confusion: 75.75% / [[301, 45, 8], [72, 174, 21], [15, 33, 131]], * Val accuracy / confusion: 55.38% / [[158, 55, 17], [69, 81, 25], [16, 50, 49]] ------------------------------ Epoch 887 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.645487 - Iter 024 / 025, Loss: 0.627518 * Train accuracy / confusion: 73.75% / [[303, 45, 15], [73, 156, 33], [10, 34, 131]], * Val accuracy / confusion: 58.85% / [[161, 49, 20], [62, 91, 22], [18, 43, 54]] ------------------------------ Epoch 888 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.608459 - Iter 024 / 025, Loss: 0.597594 * Train accuracy / confusion: 75.00% / [[293, 53, 8], [75, 174, 22], [15, 27, 133]], * Val accuracy / confusion: 57.50% / [[154, 58, 18], [64, 92, 19], [16, 46, 53]] ------------------------------ Epoch 889 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.576926 - Iter 024 / 025, Loss: 0.543410 * Train accuracy / confusion: 75.25% / [[294, 50, 13], [70, 175, 20], [8, 37, 133]], * Val accuracy / confusion: 55.19% / [[158, 56, 16], [70, 80, 25], [17, 49, 49]] ------------------------------ Epoch 890 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.539117 - Iter 024 / 025, Loss: 0.510127 * Train accuracy / confusion: 76.25% / [[305, 42, 11], [61, 180, 25], [11, 40, 125]], * Val accuracy / confusion: 56.35% / [[161, 57, 12], [65, 80, 30], [19, 44, 52]] ------------------------------ Epoch 891 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.478287 - Iter 024 / 025, Loss: 0.556686 * Train accuracy / confusion: 73.88% / [[305, 46, 7], [72, 164, 32], [16, 36, 122]], * Val accuracy / confusion: 56.35% / [[154, 55, 21], [64, 86, 25], [16, 46, 53]] ------------------------------ Epoch 892 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.859541 - Iter 024 / 025, Loss: 0.687152 * Train accuracy / confusion: 75.62% / [[298, 47, 16], [66, 181, 20], [13, 33, 126]], * Val accuracy / confusion: 55.58% / [[149, 67, 14], [67, 82, 26], [18, 39, 58]] ------------------------------ Epoch 893 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.417386 - Iter 024 / 025, Loss: 0.540254 * Train accuracy / confusion: 74.75% / [[296, 50, 11], [63, 169, 35], [16, 27, 133]], * Val accuracy / confusion: 57.12% / [[164, 52, 14], [67, 84, 24], [24, 42, 49]] ------------------------------ Epoch 894 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.740617 - Iter 024 / 025, Loss: 0.710725 * Train accuracy / confusion: 75.25% / [[299, 51, 6], [72, 173, 25], [11, 33, 130]], * Val accuracy / confusion: 57.50% / [[160, 58, 12], [63, 84, 28], [18, 42, 55]] ------------------------------ Epoch 895 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.479831 - Iter 024 / 025, Loss: 0.353235 * Train accuracy / confusion: 74.00% / [[301, 41, 13], [66, 176, 24], [26, 38, 115]], * Val accuracy / confusion: 55.58% / [[165, 56, 9], [67, 78, 30], [20, 49, 46]] ------------------------------ Epoch 896 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.601876 - Iter 024 / 025, Loss: 0.480430 * Train accuracy / confusion: 71.75% / [[283, 59, 14], [76, 173, 21], [19, 37, 118]], * Val accuracy / confusion: 57.50% / [[155, 59, 16], [60, 88, 27], [13, 46, 56]] ------------------------------ Epoch 897 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.344239 - Iter 024 / 025, Loss: 0.415703 * Train accuracy / confusion: 73.25% / [[294, 54, 9], [75, 164, 25], [15, 36, 128]], * Val accuracy / confusion: 57.69% / [[159, 59, 12], [64, 92, 19], [18, 48, 49]] ------------------------------ Epoch 898 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.677384 - Iter 024 / 025, Loss: 0.456921 * Train accuracy / confusion: 76.12% / [[293, 50, 9], [66, 185, 23], [9, 34, 131]], * Val accuracy / confusion: 57.88% / [[164, 51, 15], [57, 95, 23], [22, 51, 42]] ------------------------------ Epoch 899 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.624084 - Iter 024 / 025, Loss: 0.546349 * Train accuracy / confusion: 73.62% / [[296, 51, 10], [72, 169, 28], [17, 33, 124]], * Val accuracy / confusion: 59.04% / [[150, 62, 18], [55, 102, 18], [16, 44, 55]] ------------------------------ Epoch 900 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.670500 - Iter 024 / 025, Loss: 0.421293 * Train accuracy / confusion: 78.00% / [[304, 48, 8], [52, 190, 24], [11, 33, 130]], * Val accuracy / confusion: 58.27% / [[154, 59, 17], [57, 99, 19], [23, 42, 50]] ------------------------------ Epoch 901 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.644368 - Iter 024 / 025, Loss: 0.525896 * Train accuracy / confusion: 76.88% / [[297, 47, 9], [65, 185, 20], [14, 30, 133]], * Val accuracy / confusion: 58.65% / [[163, 54, 13], [66, 87, 22], [14, 46, 55]] ------------------------------ Epoch 902 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.575151 - Iter 024 / 025, Loss: 0.710591 * Train accuracy / confusion: 74.62% / [[301, 47, 11], [70, 176, 21], [10, 44, 120]], * Val accuracy / confusion: 56.35% / [[152, 55, 23], [65, 85, 25], [19, 40, 56]] ------------------------------ Epoch 903 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.596209 - Iter 024 / 025, Loss: 0.740638 * Train accuracy / confusion: 74.62% / [[296, 52, 12], [65, 180, 23], [17, 34, 121]], * Val accuracy / confusion: 54.81% / [[166, 51, 13], [78, 71, 26], [19, 48, 48]] ------------------------------ Epoch 904 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.536463 - Iter 024 / 025, Loss: 1.099729 * Train accuracy / confusion: 73.25% / [[295, 55, 9], [66, 174, 27], [18, 39, 117]], * Val accuracy / confusion: 59.62% / [[160, 54, 16], [53, 92, 30], [12, 45, 58]] ------------------------------ Epoch 905 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.688759 - Iter 024 / 025, Loss: 0.350442 * Train accuracy / confusion: 74.62% / [[298, 48, 13], [70, 175, 22], [16, 34, 124]], * Val accuracy / confusion: 57.88% / [[156, 62, 12], [71, 81, 23], [15, 36, 64]] ------------------------------ Epoch 906 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.575476 - Iter 024 / 025, Loss: 0.653520 * Train accuracy / confusion: 75.62% / [[301, 50, 4], [63, 178, 31], [13, 34, 126]], * Val accuracy / confusion: 58.85% / [[167, 48, 15], [68, 78, 29], [18, 36, 61]] ------------------------------ Epoch 907 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.644157 - Iter 024 / 025, Loss: 0.515461 * Train accuracy / confusion: 73.75% / [[298, 52, 6], [67, 170, 32], [17, 36, 122]], * Val accuracy / confusion: 57.50% / [[157, 55, 18], [69, 83, 23], [17, 39, 59]] ------------------------------ Epoch 908 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.746567 - Iter 024 / 025, Loss: 0.456538 * Train accuracy / confusion: 76.88% / [[301, 45, 8], [64, 181, 25], [8, 35, 133]], * Val accuracy / confusion: 58.65% / [[161, 59, 10], [58, 95, 22], [21, 45, 49]] ------------------------------ Epoch 909 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.832236 - Iter 024 / 025, Loss: 0.569976 * Train accuracy / confusion: 77.00% / [[309, 40, 9], [55, 190, 20], [16, 44, 117]], * Val accuracy / confusion: 58.46% / [[150, 60, 20], [55, 99, 21], [18, 42, 55]] ------------------------------ Epoch 910 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.583242 - Iter 024 / 025, Loss: 0.767594 * Train accuracy / confusion: 74.75% / [[298, 43, 15], [63, 178, 31], [14, 36, 122]], * Val accuracy / confusion: 58.85% / [[158, 55, 17], [61, 94, 20], [16, 45, 54]] ------------------------------ Epoch 911 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.559334 - Iter 024 / 025, Loss: 0.743399 * Train accuracy / confusion: 76.25% / [[296, 47, 10], [68, 182, 20], [11, 34, 132]], * Val accuracy / confusion: 57.50% / [[159, 61, 10], [61, 90, 24], [21, 44, 50]] ------------------------------ Epoch 912 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.516253 - Iter 024 / 025, Loss: 0.467839 * Train accuracy / confusion: 76.50% / [[303, 49, 5], [65, 175, 27], [11, 31, 134]], * Val accuracy / confusion: 56.15% / [[163, 54, 13], [70, 78, 27], [17, 47, 51]] ------------------------------ Epoch 913 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.579194 - Iter 024 / 025, Loss: 0.613420 * Train accuracy / confusion: 76.12% / [[300, 45, 13], [65, 182, 19], [7, 42, 127]], * Val accuracy / confusion: 59.23% / [[146, 68, 16], [48, 98, 29], [12, 39, 64]] ------------------------------ Epoch 914 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.580183 - Iter 024 / 025, Loss: 0.440924 * Train accuracy / confusion: 75.00% / [[295, 42, 15], [67, 182, 25], [13, 38, 123]], * Val accuracy / confusion: 58.08% / [[153, 55, 22], [59, 92, 24], [14, 44, 57]] ------------------------------ Epoch 915 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.730919 - Iter 024 / 025, Loss: 0.653012 * Train accuracy / confusion: 73.88% / [[295, 52, 7], [78, 172, 19], [12, 41, 124]], * Val accuracy / confusion: 55.96% / [[154, 62, 14], [70, 83, 22], [15, 46, 54]] ------------------------------ Epoch 916 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.529909 - Iter 024 / 025, Loss: 0.675811 * Train accuracy / confusion: 76.12% / [[306, 44, 7], [69, 169, 29], [15, 27, 134]], * Val accuracy / confusion: 59.62% / [[167, 46, 17], [64, 97, 14], [16, 53, 46]] ------------------------------ Epoch 917 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.952857 - Iter 024 / 025, Loss: 0.477600 * Train accuracy / confusion: 74.50% / [[296, 48, 12], [64, 177, 30], [17, 33, 123]], * Val accuracy / confusion: 57.88% / [[154, 62, 14], [65, 93, 17], [14, 47, 54]] ------------------------------ Epoch 918 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.936927 - Iter 024 / 025, Loss: 0.340592 * Train accuracy / confusion: 76.75% / [[302, 39, 13], [62, 183, 24], [11, 37, 129]], * Val accuracy / confusion: 59.62% / [[156, 59, 15], [55, 98, 22], [21, 38, 56]] ------------------------------ Epoch 919 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.566921 - Iter 024 / 025, Loss: 0.684768 * Train accuracy / confusion: 75.00% / [[301, 44, 8], [68, 176, 25], [14, 41, 123]], * Val accuracy / confusion: 58.85% / [[162, 58, 10], [68, 86, 21], [16, 41, 58]] ------------------------------ Epoch 920 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.573941 - Iter 024 / 025, Loss: 0.564421 * Train accuracy / confusion: 74.75% / [[290, 46, 16], [67, 184, 22], [19, 32, 124]], * Val accuracy / confusion: 58.27% / [[146, 67, 17], [54, 101, 20], [18, 41, 56]] ------------------------------ Epoch 921 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.412108 - Iter 024 / 025, Loss: 0.508836 * Train accuracy / confusion: 75.75% / [[299, 49, 9], [65, 181, 21], [14, 36, 126]], * Val accuracy / confusion: 56.15% / [[152, 58, 20], [61, 88, 26], [19, 44, 52]] ------------------------------ Epoch 922 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.556345 - Iter 024 / 025, Loss: 0.726685 * Train accuracy / confusion: 76.12% / [[298, 46, 12], [64, 182, 24], [13, 32, 129]], * Val accuracy / confusion: 56.54% / [[159, 58, 13], [60, 79, 36], [16, 43, 56]] ------------------------------ Epoch 923 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.528074 - Iter 024 / 025, Loss: 0.442773 * Train accuracy / confusion: 74.50% / [[301, 40, 14], [73, 163, 32], [16, 29, 132]], * Val accuracy / confusion: 56.54% / [[155, 53, 22], [61, 91, 23], [21, 46, 48]] ------------------------------ Epoch 924 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.487867 - Iter 024 / 025, Loss: 0.499369 * Train accuracy / confusion: 76.50% / [[307, 40, 8], [70, 168, 26], [12, 32, 137]], * Val accuracy / confusion: 57.50% / [[164, 57, 9], [62, 84, 29], [15, 49, 51]] ------------------------------ Epoch 925 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.414764 - Iter 024 / 025, Loss: 0.629584 * Train accuracy / confusion: 77.38% / [[305, 44, 4], [70, 183, 17], [15, 31, 131]], * Val accuracy / confusion: 55.19% / [[153, 61, 16], [63, 80, 32], [19, 42, 54]] ------------------------------ Epoch 926 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.380184 - Iter 024 / 025, Loss: 0.833615 * Train accuracy / confusion: 75.38% / [[303, 41, 16], [66, 170, 29], [9, 36, 130]], * Val accuracy / confusion: 56.35% / [[159, 56, 15], [66, 78, 31], [20, 39, 56]] ------------------------------ Epoch 927 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.624961 - Iter 024 / 025, Loss: 0.782923 * Train accuracy / confusion: 74.25% / [[294, 46, 13], [66, 167, 36], [13, 32, 133]], * Val accuracy / confusion: 55.19% / [[147, 57, 26], [60, 80, 35], [17, 38, 60]] ------------------------------ Epoch 928 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.424717 - Iter 024 / 025, Loss: 0.539171 * Train accuracy / confusion: 73.38% / [[299, 50, 10], [74, 164, 29], [14, 36, 124]], * Val accuracy / confusion: 56.35% / [[158, 55, 17], [68, 84, 23], [17, 47, 51]] ------------------------------ Epoch 929 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.732346 - Iter 024 / 025, Loss: 0.464701 * Train accuracy / confusion: 76.12% / [[302, 46, 8], [63, 181, 26], [9, 39, 126]], * Val accuracy / confusion: 57.50% / [[171, 51, 8], [74, 74, 27], [18, 43, 54]] ------------------------------ Epoch 930 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.562557 - Iter 024 / 025, Loss: 0.474099 * Train accuracy / confusion: 77.12% / [[308, 38, 8], [63, 177, 30], [12, 32, 132]], * Val accuracy / confusion: 57.88% / [[163, 52, 15], [66, 84, 25], [17, 44, 54]] ------------------------------ Epoch 931 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.407668 - Iter 024 / 025, Loss: 0.604029 * Train accuracy / confusion: 75.50% / [[295, 54, 8], [66, 169, 31], [11, 26, 140]], * Val accuracy / confusion: 60.77% / [[162, 58, 10], [56, 97, 22], [19, 39, 57]] ------------------------------ Epoch 932 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.588839 - Iter 024 / 025, Loss: 0.754694 * Train accuracy / confusion: 75.75% / [[300, 47, 12], [72, 179, 16], [14, 33, 127]], * Val accuracy / confusion: 55.00% / [[148, 68, 14], [63, 83, 29], [11, 49, 55]] ------------------------------ Epoch 933 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.446492 - Iter 024 / 025, Loss: 0.560411 * Train accuracy / confusion: 76.50% / [[300, 44, 9], [68, 184, 23], [11, 33, 128]], * Val accuracy / confusion: 57.50% / [[150, 61, 19], [52, 90, 33], [18, 38, 59]] ------------------------------ Epoch 934 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.396651 - Iter 024 / 025, Loss: 0.534211 * Train accuracy / confusion: 77.00% / [[301, 42, 14], [68, 188, 14], [13, 33, 127]], * Val accuracy / confusion: 55.19% / [[154, 57, 19], [67, 87, 21], [17, 52, 46]] ------------------------------ Epoch 935 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.500589 - Iter 024 / 025, Loss: 0.392376 * Train accuracy / confusion: 74.50% / [[298, 49, 9], [68, 166, 31], [13, 34, 132]], * Val accuracy / confusion: 57.88% / [[160, 52, 18], [68, 85, 22], [14, 45, 56]] ------------------------------ Epoch 936 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.759458 - Iter 024 / 025, Loss: 0.543295 * Train accuracy / confusion: 76.62% / [[294, 49, 15], [63, 183, 22], [11, 27, 136]], * Val accuracy / confusion: 58.27% / [[157, 58, 15], [52, 92, 31], [15, 46, 54]] ------------------------------ Epoch 937 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.440203 - Iter 024 / 025, Loss: 0.539173 * Train accuracy / confusion: 75.75% / [[299, 51, 9], [61, 183, 22], [18, 33, 124]], * Val accuracy / confusion: 57.31% / [[154, 61, 15], [61, 90, 24], [17, 44, 54]] ------------------------------ Epoch 938 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.463331 - Iter 024 / 025, Loss: 0.487798 * Train accuracy / confusion: 74.00% / [[292, 52, 10], [71, 169, 30], [17, 28, 131]], * Val accuracy / confusion: 60.19% / [[159, 58, 13], [47, 103, 25], [18, 46, 51]] ------------------------------ Epoch 939 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.441227 - Iter 024 / 025, Loss: 0.605028 * Train accuracy / confusion: 76.38% / [[297, 49, 9], [62, 182, 24], [19, 26, 132]], * Val accuracy / confusion: 59.23% / [[165, 53, 12], [71, 79, 25], [18, 33, 64]] ------------------------------ Epoch 940 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.431356 - Iter 024 / 025, Loss: 0.530637 * Train accuracy / confusion: 77.12% / [[302, 45, 9], [66, 184, 18], [16, 29, 131]], * Val accuracy / confusion: 56.92% / [[155, 61, 14], [58, 88, 29], [13, 49, 53]] ------------------------------ Epoch 941 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.723023 - Iter 024 / 025, Loss: 0.549085 * Train accuracy / confusion: 76.38% / [[300, 45, 13], [59, 183, 25], [15, 32, 128]], * Val accuracy / confusion: 55.00% / [[146, 60, 24], [58, 88, 29], [14, 49, 52]] ------------------------------ Epoch 942 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.674234 - Iter 024 / 025, Loss: 0.452856 * Train accuracy / confusion: 74.75% / [[300, 47, 13], [70, 170, 21], [15, 36, 128]], * Val accuracy / confusion: 57.31% / [[158, 59, 13], [63, 89, 23], [24, 40, 51]] ------------------------------ Epoch 943 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.629554 - Iter 024 / 025, Loss: 0.611883 * Train accuracy / confusion: 77.12% / [[301, 42, 10], [65, 186, 20], [18, 28, 130]], * Val accuracy / confusion: 57.69% / [[159, 51, 20], [59, 89, 27], [21, 42, 52]] ------------------------------ Epoch 944 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.646484 - Iter 024 / 025, Loss: 0.677194 * Train accuracy / confusion: 77.75% / [[300, 46, 12], [63, 185, 19], [13, 25, 137]], * Val accuracy / confusion: 56.73% / [[162, 49, 19], [75, 78, 22], [23, 37, 55]] ------------------------------ Epoch 945 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.777068 - Iter 024 / 025, Loss: 0.489043 * Train accuracy / confusion: 76.62% / [[307, 40, 10], [65, 179, 24], [13, 35, 127]], * Val accuracy / confusion: 57.69% / [[160, 48, 22], [68, 72, 35], [15, 32, 68]] ------------------------------ Epoch 946 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.543347 - Iter 024 / 025, Loss: 0.648079 * Train accuracy / confusion: 73.38% / [[292, 56, 10], [62, 174, 32], [16, 37, 121]], * Val accuracy / confusion: 55.58% / [[161, 53, 16], [71, 79, 25], [20, 46, 49]] ------------------------------ Epoch 947 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.463684 - Iter 024 / 025, Loss: 0.679245 * Train accuracy / confusion: 76.50% / [[298, 43, 11], [63, 184, 22], [11, 38, 130]], * Val accuracy / confusion: 56.35% / [[158, 54, 18], [65, 82, 28], [20, 42, 53]] ------------------------------ Epoch 948 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.449175 - Iter 024 / 025, Loss: 0.480507 * Train accuracy / confusion: 77.38% / [[300, 45, 13], [57, 183, 27], [12, 27, 136]], * Val accuracy / confusion: 55.77% / [[161, 54, 15], [58, 76, 41], [17, 45, 53]] ------------------------------ Epoch 949 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.751527 - Iter 024 / 025, Loss: 0.658672 * Train accuracy / confusion: 75.12% / [[299, 48, 6], [67, 171, 34], [11, 33, 131]], * Val accuracy / confusion: 56.35% / [[152, 67, 11], [62, 93, 20], [14, 53, 48]] ------------------------------ Epoch 950 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.653753 - Iter 024 / 025, Loss: 0.457471 * Train accuracy / confusion: 75.50% / [[304, 44, 8], [73, 174, 21], [9, 41, 126]], * Val accuracy / confusion: 57.69% / [[155, 59, 16], [64, 90, 21], [15, 45, 55]] ------------------------------ Epoch 951 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.390738 - Iter 024 / 025, Loss: 0.601313 * Train accuracy / confusion: 75.25% / [[295, 50, 9], [68, 179, 21], [18, 32, 128]], * Val accuracy / confusion: 61.15% / [[176, 49, 5], [62, 87, 26], [19, 41, 55]] ------------------------------ Epoch 952 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.639720 - Iter 024 / 025, Loss: 0.447406 * Train accuracy / confusion: 76.50% / [[301, 44, 10], [61, 182, 23], [10, 40, 129]], * Val accuracy / confusion: 55.38% / [[152, 64, 14], [64, 88, 23], [14, 53, 48]] ------------------------------ Epoch 953 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.479047 - Iter 024 / 025, Loss: 0.692173 * Train accuracy / confusion: 75.38% / [[296, 47, 12], [66, 180, 21], [13, 38, 127]], * Val accuracy / confusion: 58.46% / [[162, 46, 22], [60, 87, 28], [16, 44, 55]] ------------------------------ Epoch 954 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.480811 - Iter 024 / 025, Loss: 0.481162 * Train accuracy / confusion: 73.12% / [[298, 50, 10], [72, 163, 30], [11, 42, 124]], * Val accuracy / confusion: 56.35% / [[154, 59, 17], [60, 84, 31], [22, 38, 55]] ------------------------------ Epoch 955 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.418538 - Iter 024 / 025, Loss: 0.795380 * Train accuracy / confusion: 73.12% / [[283, 63, 12], [73, 165, 25], [12, 30, 137]], * Val accuracy / confusion: 58.65% / [[159, 54, 17], [58, 93, 24], [22, 40, 53]] ------------------------------ Epoch 956 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.587803 - Iter 024 / 025, Loss: 0.585404 * Train accuracy / confusion: 76.25% / [[303, 42, 10], [55, 181, 30], [21, 32, 126]], * Val accuracy / confusion: 55.77% / [[144, 66, 20], [63, 84, 28], [14, 39, 62]] ------------------------------ Epoch 957 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.562756 - Iter 024 / 025, Loss: 0.690180 * Train accuracy / confusion: 75.12% / [[289, 48, 15], [56, 183, 32], [10, 38, 129]], * Val accuracy / confusion: 58.27% / [[156, 60, 14], [57, 91, 27], [16, 43, 56]] ------------------------------ Epoch 958 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.495265 - Iter 024 / 025, Loss: 0.546062 * Train accuracy / confusion: 75.00% / [[286, 52, 15], [69, 185, 16], [12, 36, 129]], * Val accuracy / confusion: 54.62% / [[153, 64, 13], [59, 87, 29], [16, 55, 44]] ------------------------------ Epoch 959 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.458283 - Iter 024 / 025, Loss: 0.510665 * Train accuracy / confusion: 75.25% / [[298, 53, 8], [66, 173, 27], [7, 37, 131]], * Val accuracy / confusion: 56.92% / [[158, 57, 15], [64, 82, 29], [18, 41, 56]] ------------------------------ Epoch 960 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.665963 - Iter 024 / 025, Loss: 0.352521 * Train accuracy / confusion: 75.38% / [[302, 42, 13], [70, 172, 27], [14, 31, 129]], * Val accuracy / confusion: 57.12% / [[160, 57, 13], [64, 85, 26], [23, 40, 52]] ------------------------------ Epoch 961 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.584610 - Iter 024 / 025, Loss: 0.515683 * Train accuracy / confusion: 76.50% / [[296, 55, 7], [68, 187, 11], [8, 39, 129]], * Val accuracy / confusion: 60.00% / [[161, 55, 14], [56, 90, 29], [16, 38, 61]] ------------------------------ Epoch 962 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.703912 - Iter 024 / 025, Loss: 0.660081 * Train accuracy / confusion: 75.38% / [[291, 55, 7], [72, 176, 21], [10, 32, 136]], * Val accuracy / confusion: 57.88% / [[159, 52, 19], [65, 91, 19], [17, 47, 51]] ------------------------------ Epoch 963 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.722747 - Iter 024 / 025, Loss: 0.547529 * Train accuracy / confusion: 76.25% / [[293, 48, 10], [61, 190, 20], [13, 38, 127]], * Val accuracy / confusion: 56.92% / [[154, 59, 17], [60, 81, 34], [15, 39, 61]] ------------------------------ Epoch 964 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.501986 - Iter 024 / 025, Loss: 0.594557 * Train accuracy / confusion: 74.88% / [[289, 54, 10], [60, 178, 31], [18, 28, 132]], * Val accuracy / confusion: 54.81% / [[150, 67, 13], [63, 85, 27], [16, 49, 50]] ------------------------------ Epoch 965 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.385559 - Iter 024 / 025, Loss: 0.543647 * Train accuracy / confusion: 73.75% / [[288, 59, 10], [76, 165, 26], [18, 21, 137]], * Val accuracy / confusion: 58.65% / [[160, 54, 16], [68, 90, 17], [19, 41, 55]] ------------------------------ Epoch 966 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.574910 - Iter 024 / 025, Loss: 0.539243 * Train accuracy / confusion: 77.00% / [[302, 49, 8], [59, 181, 24], [11, 33, 133]], * Val accuracy / confusion: 60.00% / [[152, 63, 15], [50, 102, 23], [13, 44, 58]] ------------------------------ Epoch 967 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.815567 - Iter 024 / 025, Loss: 0.438319 * Train accuracy / confusion: 77.12% / [[298, 47, 10], [57, 188, 22], [16, 31, 131]], * Val accuracy / confusion: 56.73% / [[153, 61, 16], [63, 92, 20], [16, 49, 50]] ------------------------------ Epoch 968 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.612077 - Iter 024 / 025, Loss: 0.635374 * Train accuracy / confusion: 73.75% / [[288, 58, 9], [65, 176, 30], [14, 34, 126]], * Val accuracy / confusion: 58.08% / [[158, 55, 17], [57, 89, 29], [15, 45, 55]] ------------------------------ Epoch 969 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.692795 - Iter 024 / 025, Loss: 0.665879 * Train accuracy / confusion: 75.12% / [[292, 52, 13], [62, 176, 29], [18, 25, 133]], * Val accuracy / confusion: 57.50% / [[164, 52, 14], [69, 82, 24], [16, 46, 53]] ------------------------------ Epoch 970 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.604553 - Iter 024 / 025, Loss: 0.451351 * Train accuracy / confusion: 76.88% / [[304, 44, 13], [62, 179, 24], [13, 29, 132]], * Val accuracy / confusion: 55.58% / [[151, 64, 15], [59, 90, 26], [23, 44, 48]] ------------------------------ Epoch 971 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.008337 - Iter 024 / 025, Loss: 0.500238 * Train accuracy / confusion: 75.50% / [[297, 48, 15], [66, 177, 25], [12, 30, 130]], * Val accuracy / confusion: 55.77% / [[160, 58, 12], [64, 80, 31], [18, 47, 50]] ------------------------------ Epoch 972 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.527798 - Iter 024 / 025, Loss: 0.543709 * Train accuracy / confusion: 73.88% / [[293, 55, 9], [65, 175, 28], [13, 39, 123]], * Val accuracy / confusion: 56.35% / [[159, 59, 12], [64, 80, 31], [16, 45, 54]] ------------------------------ Epoch 973 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.434976 - Iter 024 / 025, Loss: 0.424285 * Train accuracy / confusion: 76.62% / [[310, 39, 10], [65, 176, 19], [17, 37, 127]], * Val accuracy / confusion: 57.31% / [[164, 51, 15], [62, 86, 27], [20, 47, 48]] ------------------------------ Epoch 974 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.546273 - Iter 024 / 025, Loss: 0.614841 * Train accuracy / confusion: 75.25% / [[296, 46, 12], [74, 168, 25], [9, 32, 138]], * Val accuracy / confusion: 58.08% / [[155, 56, 19], [55, 92, 28], [15, 45, 55]] ------------------------------ Epoch 975 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.388851 - Iter 024 / 025, Loss: 0.540977 * Train accuracy / confusion: 76.38% / [[298, 50, 12], [66, 183, 20], [12, 29, 130]], * Val accuracy / confusion: 57.50% / [[164, 52, 14], [70, 85, 20], [23, 42, 50]] ------------------------------ Epoch 976 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.483904 - Iter 024 / 025, Loss: 0.428378 * Train accuracy / confusion: 73.75% / [[291, 56, 10], [61, 177, 28], [17, 38, 122]], * Val accuracy / confusion: 56.54% / [[155, 56, 19], [67, 87, 21], [16, 47, 52]] ------------------------------ Epoch 977 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.607475 - Iter 024 / 025, Loss: 1.205224 * Train accuracy / confusion: 73.00% / [[295, 51, 12], [70, 167, 30], [16, 37, 122]], * Val accuracy / confusion: 58.46% / [[162, 53, 15], [68, 85, 22], [26, 32, 57]] ------------------------------ Epoch 978 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.346953 - Iter 024 / 025, Loss: 0.418374 * Train accuracy / confusion: 77.62% / [[294, 46, 14], [62, 191, 16], [14, 27, 136]], * Val accuracy / confusion: 55.00% / [[151, 61, 18], [76, 85, 14], [18, 47, 50]] ------------------------------ Epoch 979 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.423533 - Iter 024 / 025, Loss: 0.387891 * Train accuracy / confusion: 73.88% / [[296, 44, 13], [69, 177, 24], [17, 42, 118]], * Val accuracy / confusion: 56.15% / [[154, 64, 12], [66, 87, 22], [16, 48, 51]] ------------------------------ Epoch 980 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.478925 - Iter 024 / 025, Loss: 0.543695 * Train accuracy / confusion: 74.88% / [[293, 52, 9], [62, 178, 29], [13, 36, 128]], * Val accuracy / confusion: 58.46% / [[160, 60, 10], [63, 92, 20], [13, 50, 52]] ------------------------------ Epoch 981 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.698626 - Iter 024 / 025, Loss: 0.575347 * Train accuracy / confusion: 75.62% / [[293, 55, 11], [66, 177, 22], [16, 25, 135]], * Val accuracy / confusion: 53.08% / [[145, 63, 22], [59, 79, 37], [16, 47, 52]] ------------------------------ Epoch 982 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.485555 - Iter 024 / 025, Loss: 0.526930 * Train accuracy / confusion: 76.75% / [[299, 44, 14], [59, 188, 25], [11, 33, 127]], * Val accuracy / confusion: 57.88% / [[158, 50, 22], [61, 90, 24], [17, 45, 53]] ------------------------------ Epoch 983 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.578257 - Iter 024 / 025, Loss: 0.719811 * Train accuracy / confusion: 76.12% / [[305, 44, 6], [66, 180, 25], [11, 39, 124]], * Val accuracy / confusion: 60.19% / [[162, 56, 12], [63, 94, 18], [13, 45, 57]] ------------------------------ Epoch 984 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.610592 - Iter 024 / 025, Loss: 0.787858 * Train accuracy / confusion: 75.12% / [[296, 47, 11], [59, 180, 31], [17, 34, 125]], * Val accuracy / confusion: 56.54% / [[156, 63, 11], [61, 86, 28], [19, 44, 52]] ------------------------------ Epoch 985 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.690890 - Iter 024 / 025, Loss: 0.518061 * Train accuracy / confusion: 74.62% / [[298, 48, 9], [74, 172, 22], [13, 37, 127]], * Val accuracy / confusion: 56.54% / [[157, 57, 16], [67, 81, 27], [15, 44, 56]] ------------------------------ Epoch 986 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.630353 - Iter 024 / 025, Loss: 0.916015 * Train accuracy / confusion: 75.88% / [[296, 49, 12], [62, 181, 24], [10, 36, 130]], * Val accuracy / confusion: 59.04% / [[164, 52, 14], [61, 95, 19], [21, 46, 48]] ------------------------------ Epoch 987 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.530905 - Iter 024 / 025, Loss: 0.474661 * Train accuracy / confusion: 75.25% / [[299, 48, 10], [65, 168, 33], [10, 32, 135]], * Val accuracy / confusion: 55.96% / [[154, 58, 18], [70, 87, 18], [22, 43, 50]] ------------------------------ Epoch 988 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.641305 - Iter 024 / 025, Loss: 0.479986 * Train accuracy / confusion: 74.62% / [[300, 44, 8], [74, 177, 22], [16, 39, 120]], * Val accuracy / confusion: 61.35% / [[162, 57, 11], [58, 100, 17], [20, 38, 57]] ------------------------------ Epoch 989 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.516868 - Iter 024 / 025, Loss: 0.532908 * Train accuracy / confusion: 76.38% / [[300, 50, 8], [60, 186, 23], [9, 39, 125]], * Val accuracy / confusion: 57.50% / [[157, 53, 20], [57, 90, 28], [14, 49, 52]] ------------------------------ Epoch 990 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.786681 - Iter 024 / 025, Loss: 0.649424 * Train accuracy / confusion: 75.62% / [[297, 47, 15], [65, 182, 22], [11, 35, 126]], * Val accuracy / confusion: 57.88% / [[164, 55, 11], [60, 86, 29], [18, 46, 51]] ------------------------------ Epoch 991 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.591852 - Iter 024 / 025, Loss: 0.449304 * Train accuracy / confusion: 76.12% / [[292, 55, 13], [61, 185, 23], [13, 26, 132]], * Val accuracy / confusion: 57.69% / [[152, 68, 10], [53, 96, 26], [18, 45, 52]] ------------------------------ Epoch 992 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.656395 - Iter 024 / 025, Loss: 0.435501 * Train accuracy / confusion: 74.88% / [[295, 47, 15], [61, 179, 28], [13, 37, 125]], * Val accuracy / confusion: 57.50% / [[155, 58, 17], [65, 87, 23], [16, 42, 57]] ------------------------------ Epoch 993 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.676596 - Iter 024 / 025, Loss: 0.668040 * Train accuracy / confusion: 73.88% / [[295, 44, 16], [71, 172, 28], [13, 37, 124]], * Val accuracy / confusion: 58.27% / [[162, 55, 13], [62, 86, 27], [15, 45, 55]] ------------------------------ Epoch 994 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.479753 - Iter 024 / 025, Loss: 0.471063 * Train accuracy / confusion: 74.88% / [[305, 50, 8], [58, 180, 26], [17, 42, 114]], * Val accuracy / confusion: 55.00% / [[152, 66, 12], [63, 88, 24], [20, 49, 46]] ------------------------------ Epoch 995 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.394166 - Iter 024 / 025, Loss: 0.567220 * Train accuracy / confusion: 76.12% / [[298, 47, 10], [61, 188, 17], [20, 36, 123]], * Val accuracy / confusion: 58.65% / [[173, 40, 17], [63, 74, 38], [18, 39, 58]] ------------------------------ Epoch 996 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.484106 - Iter 024 / 025, Loss: 0.810745 * Train accuracy / confusion: 76.50% / [[301, 50, 8], [68, 177, 19], [13, 30, 134]], * Val accuracy / confusion: 59.42% / [[166, 52, 12], [59, 86, 30], [16, 42, 57]] ------------------------------ Epoch 997 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.415490 - Iter 024 / 025, Loss: 0.516163 * Train accuracy / confusion: 76.38% / [[311, 40, 7], [70, 173, 25], [17, 30, 127]], * Val accuracy / confusion: 56.54% / [[156, 63, 11], [67, 88, 20], [13, 52, 50]] ------------------------------ Epoch 998 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.491952 - Iter 024 / 025, Loss: 0.462348 * Train accuracy / confusion: 75.75% / [[299, 42, 13], [65, 175, 26], [11, 37, 132]], * Val accuracy / confusion: 57.50% / [[160, 59, 11], [66, 86, 23], [19, 43, 53]] ------------------------------ Epoch 999 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.849771 - Iter 024 / 025, Loss: 0.675773 * Train accuracy / confusion: 75.75% / [[290, 57, 11], [64, 175, 26], [10, 26, 141]], * Val accuracy / confusion: 55.38% / [[158, 50, 22], [68, 80, 27], [25, 40, 50]] ------------------------------ Epoch 1000 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.565723 - Iter 024 / 025, Loss: 0.581524 * Train accuracy / confusion: 75.00% / [[293, 53, 11], [66, 175, 25], [16, 29, 132]], * Val accuracy / confusion: 56.73% / [[155, 56, 19], [61, 86, 28], [22, 39, 54]] ------------------------------ Epoch 1001 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.709902 - Iter 024 / 025, Loss: 0.556829 * Train accuracy / confusion: 76.12% / [[298, 47, 15], [54, 186, 23], [16, 36, 125]], * Val accuracy / confusion: 56.54% / [[144, 58, 28], [55, 99, 21], [17, 47, 51]] ------------------------------ Epoch 1002 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.649754 - Iter 024 / 025, Loss: 0.676783 * Train accuracy / confusion: 74.75% / [[297, 55, 8], [64, 174, 25], [13, 37, 127]], * Val accuracy / confusion: 56.54% / [[155, 57, 18], [67, 82, 26], [17, 41, 57]] ------------------------------ Epoch 1003 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.606492 - Iter 024 / 025, Loss: 0.535434 * Train accuracy / confusion: 75.12% / [[295, 45, 9], [73, 178, 21], [16, 35, 128]], * Val accuracy / confusion: 54.81% / [[155, 53, 22], [71, 79, 25], [23, 41, 51]] ------------------------------ Epoch 1004 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.470000 - Iter 024 / 025, Loss: 0.508193 * Train accuracy / confusion: 75.38% / [[306, 42, 10], [66, 172, 28], [15, 36, 125]], * Val accuracy / confusion: 56.54% / [[148, 65, 17], [51, 104, 20], [20, 53, 42]] ------------------------------ Epoch 1005 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.365984 - Iter 024 / 025, Loss: 0.364552 * Train accuracy / confusion: 76.25% / [[302, 50, 7], [72, 165, 30], [9, 22, 143]], * Val accuracy / confusion: 57.69% / [[161, 57, 12], [65, 86, 24], [19, 43, 53]] ------------------------------ Epoch 1006 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.443880 - Iter 024 / 025, Loss: 0.594921 * Train accuracy / confusion: 76.75% / [[302, 39, 11], [63, 183, 27], [10, 36, 129]], * Val accuracy / confusion: 58.65% / [[153, 59, 18], [68, 89, 18], [18, 34, 63]] ------------------------------ Epoch 1007 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.596602 - Iter 024 / 025, Loss: 0.808869 * Train accuracy / confusion: 75.62% / [[301, 57, 3], [61, 179, 24], [15, 35, 125]], * Val accuracy / confusion: 55.19% / [[147, 57, 26], [59, 84, 32], [15, 44, 56]] ------------------------------ Epoch 1008 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.474681 - Iter 024 / 025, Loss: 0.648910 * Train accuracy / confusion: 77.12% / [[315, 35, 9], [68, 173, 26], [12, 33, 129]], * Val accuracy / confusion: 59.04% / [[160, 55, 15], [62, 89, 24], [17, 40, 58]] ------------------------------ Epoch 1009 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.573184 - Iter 024 / 025, Loss: 0.557904 * Train accuracy / confusion: 74.00% / [[293, 54, 8], [70, 172, 29], [15, 32, 127]], * Val accuracy / confusion: 56.92% / [[154, 59, 17], [60, 92, 23], [21, 44, 50]] ------------------------------ Epoch 1010 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.642680 - Iter 024 / 025, Loss: 0.633547 * Train accuracy / confusion: 78.00% / [[311, 33, 9], [68, 183, 19], [10, 37, 130]], * Val accuracy / confusion: 59.04% / [[164, 54, 12], [64, 94, 17], [20, 46, 49]] ------------------------------ Epoch 1011 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.624033 - Iter 024 / 025, Loss: 0.521017 * Train accuracy / confusion: 75.12% / [[291, 49, 12], [72, 175, 22], [9, 35, 135]], * Val accuracy / confusion: 60.77% / [[157, 56, 17], [53, 100, 22], [12, 44, 59]] ------------------------------ Epoch 1012 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.551294 - Iter 024 / 025, Loss: 0.553683 * Train accuracy / confusion: 74.25% / [[291, 50, 12], [68, 170, 28], [13, 35, 133]], * Val accuracy / confusion: 59.42% / [[159, 60, 11], [53, 97, 25], [16, 46, 53]] ------------------------------ Epoch 1013 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.545239 - Iter 024 / 025, Loss: 0.645172 * Train accuracy / confusion: 73.25% / [[296, 48, 11], [79, 162, 28], [12, 36, 128]], * Val accuracy / confusion: 55.19% / [[146, 72, 12], [64, 87, 24], [14, 47, 54]] ------------------------------ Epoch 1014 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.562965 - Iter 024 / 025, Loss: 0.537765 * Train accuracy / confusion: 75.75% / [[290, 51, 14], [55, 194, 24], [10, 40, 122]], * Val accuracy / confusion: 56.73% / [[163, 56, 11], [75, 77, 23], [19, 41, 55]] ------------------------------ Epoch 1015 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.511003 - Iter 024 / 025, Loss: 0.446083 * Train accuracy / confusion: 76.88% / [[308, 36, 13], [69, 176, 22], [13, 32, 131]], * Val accuracy / confusion: 57.12% / [[151, 60, 19], [61, 97, 17], [13, 53, 49]] ------------------------------ Epoch 1016 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.337557 - Iter 024 / 025, Loss: 0.609800 * Train accuracy / confusion: 76.88% / [[302, 42, 10], [70, 182, 20], [13, 30, 131]], * Val accuracy / confusion: 55.58% / [[154, 62, 14], [57, 84, 34], [19, 45, 51]] ------------------------------ Epoch 1017 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.639675 - Iter 024 / 025, Loss: 0.637902 * Train accuracy / confusion: 76.00% / [[306, 39, 10], [68, 179, 22], [17, 36, 123]], * Val accuracy / confusion: 59.81% / [[163, 51, 16], [62, 87, 26], [16, 38, 61]] ------------------------------ Epoch 1018 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.589750 - Iter 024 / 025, Loss: 0.586503 * Train accuracy / confusion: 73.88% / [[294, 54, 14], [68, 173, 22], [7, 44, 124]], * Val accuracy / confusion: 55.38% / [[140, 71, 19], [60, 99, 16], [16, 50, 49]] ------------------------------ Epoch 1019 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.693166 - Iter 024 / 025, Loss: 0.448685 * Train accuracy / confusion: 74.38% / [[295, 50, 10], [66, 177, 25], [15, 39, 123]], * Val accuracy / confusion: 57.31% / [[159, 56, 15], [64, 86, 25], [17, 45, 53]] ------------------------------ Epoch 1020 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.429170 - Iter 024 / 025, Loss: 0.513554 * Train accuracy / confusion: 75.50% / [[301, 44, 11], [61, 184, 23], [15, 42, 119]], * Val accuracy / confusion: 57.12% / [[155, 53, 22], [69, 87, 19], [17, 43, 55]] ------------------------------ Epoch 1021 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.829151 - Iter 024 / 025, Loss: 0.607366 * Train accuracy / confusion: 76.12% / [[303, 44, 9], [56, 181, 31], [18, 33, 125]], * Val accuracy / confusion: 56.73% / [[159, 57, 14], [58, 85, 32], [14, 50, 51]] ------------------------------ Epoch 1022 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.418639 - Iter 024 / 025, Loss: 0.566821 * Train accuracy / confusion: 75.75% / [[291, 50, 17], [55, 190, 21], [12, 39, 125]], * Val accuracy / confusion: 56.54% / [[159, 50, 21], [70, 78, 27], [16, 42, 57]] ------------------------------ Epoch 1023 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.409673 - Iter 024 / 025, Loss: 0.574958 * Train accuracy / confusion: 75.00% / [[293, 57, 6], [58, 174, 36], [15, 28, 133]], * Val accuracy / confusion: 57.69% / [[161, 50, 19], [67, 82, 26], [19, 39, 57]] ------------------------------ Epoch 1024 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.575540 - Iter 024 / 025, Loss: 0.638981 * Train accuracy / confusion: 74.50% / [[296, 53, 7], [72, 164, 27], [14, 31, 136]], * Val accuracy / confusion: 56.54% / [[164, 50, 16], [72, 82, 21], [17, 50, 48]] ------------------------------ Epoch 1025 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.673855 - Iter 024 / 025, Loss: 0.465232 * Train accuracy / confusion: 76.75% / [[304, 43, 11], [72, 180, 18], [15, 27, 130]], * Val accuracy / confusion: 54.04% / [[146, 63, 21], [67, 83, 25], [13, 50, 52]] ------------------------------ Epoch 1026 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.593302 - Iter 024 / 025, Loss: 0.520830 * Train accuracy / confusion: 76.00% / [[290, 50, 11], [68, 182, 23], [15, 25, 136]], * Val accuracy / confusion: 60.38% / [[163, 52, 15], [61, 92, 22], [19, 37, 59]] ------------------------------ Epoch 1027 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.634270 - Iter 024 / 025, Loss: 0.508043 * Train accuracy / confusion: 76.38% / [[298, 54, 6], [63, 176, 27], [10, 29, 137]], * Val accuracy / confusion: 56.35% / [[158, 59, 13], [82, 79, 14], [22, 37, 56]] ------------------------------ Epoch 1028 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.392118 - Iter 024 / 025, Loss: 0.505350 * Train accuracy / confusion: 76.75% / [[305, 42, 6], [64, 175, 29], [14, 31, 134]], * Val accuracy / confusion: 57.12% / [[156, 55, 19], [64, 84, 27], [18, 40, 57]] ------------------------------ Epoch 1029 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.476017 - Iter 024 / 025, Loss: 0.607516 * Train accuracy / confusion: 74.25% / [[287, 61, 10], [72, 179, 20], [11, 32, 128]], * Val accuracy / confusion: 55.96% / [[153, 63, 14], [65, 81, 29], [18, 40, 57]] ------------------------------ Epoch 1030 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.433849 - Iter 024 / 025, Loss: 0.628364 * Train accuracy / confusion: 75.50% / [[301, 48, 12], [59, 180, 31], [10, 36, 123]], * Val accuracy / confusion: 56.92% / [[146, 59, 25], [57, 90, 28], [15, 40, 60]] ------------------------------ Epoch 1031 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.796573 - Iter 024 / 025, Loss: 0.528016 * Train accuracy / confusion: 74.62% / [[292, 51, 12], [60, 179, 25], [16, 39, 126]], * Val accuracy / confusion: 54.04% / [[153, 60, 17], [75, 69, 31], [14, 42, 59]] ------------------------------ Epoch 1032 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.679571 - Iter 024 / 025, Loss: 0.532792 * Train accuracy / confusion: 72.88% / [[290, 57, 10], [63, 172, 30], [12, 45, 121]], * Val accuracy / confusion: 60.38% / [[161, 59, 10], [50, 93, 32], [19, 36, 60]] ------------------------------ Epoch 1033 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.407801 - Iter 024 / 025, Loss: 0.536783 * Train accuracy / confusion: 75.12% / [[287, 54, 11], [62, 184, 23], [12, 37, 130]], * Val accuracy / confusion: 56.92% / [[152, 62, 16], [64, 89, 22], [15, 45, 55]] ------------------------------ Epoch 1034 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.591499 - Iter 024 / 025, Loss: 0.488592 * Train accuracy / confusion: 74.38% / [[297, 43, 14], [67, 173, 28], [10, 43, 125]], * Val accuracy / confusion: 58.65% / [[162, 60, 8], [60, 91, 24], [18, 45, 52]] ------------------------------ Epoch 1035 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.572907 - Iter 024 / 025, Loss: 0.552609 * Train accuracy / confusion: 76.12% / [[298, 51, 9], [54, 183, 30], [12, 35, 128]], * Val accuracy / confusion: 58.27% / [[161, 52, 17], [70, 88, 17], [16, 45, 54]] ------------------------------ Epoch 1036 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.428462 - Iter 024 / 025, Loss: 0.495181 * Train accuracy / confusion: 76.00% / [[294, 43, 13], [75, 177, 18], [11, 32, 137]], * Val accuracy / confusion: 60.77% / [[164, 57, 9], [59, 102, 14], [20, 45, 50]] ------------------------------ Epoch 1037 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.736624 - Iter 024 / 025, Loss: 0.562227 * Train accuracy / confusion: 77.00% / [[303, 44, 10], [58, 184, 26], [14, 32, 129]], * Val accuracy / confusion: 57.12% / [[154, 60, 16], [58, 87, 30], [10, 49, 56]] ------------------------------ Epoch 1038 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.469661 - Iter 024 / 025, Loss: 0.491812 * Train accuracy / confusion: 77.50% / [[310, 35, 10], [56, 187, 24], [16, 39, 123]], * Val accuracy / confusion: 57.88% / [[172, 47, 11], [72, 76, 27], [23, 39, 53]] ------------------------------ Epoch 1039 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.628102 - Iter 024 / 025, Loss: 0.517770 * Train accuracy / confusion: 78.25% / [[307, 45, 7], [55, 188, 24], [12, 31, 131]], * Val accuracy / confusion: 60.00% / [[163, 54, 13], [58, 97, 20], [16, 47, 52]] ------------------------------ Epoch 1040 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.586825 - Iter 024 / 025, Loss: 0.646708 * Train accuracy / confusion: 74.25% / [[296, 54, 8], [69, 171, 28], [14, 33, 127]], * Val accuracy / confusion: 57.31% / [[155, 62, 13], [59, 89, 27], [21, 40, 54]] ------------------------------ Epoch 1041 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.610295 - Iter 024 / 025, Loss: 0.504769 * Train accuracy / confusion: 76.12% / [[299, 49, 12], [68, 176, 21], [15, 26, 134]], * Val accuracy / confusion: 58.27% / [[166, 55, 9], [59, 85, 31], [17, 46, 52]] ------------------------------ Epoch 1042 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.648487 - Iter 024 / 025, Loss: 0.604745 * Train accuracy / confusion: 75.25% / [[288, 58, 13], [60, 186, 22], [9, 36, 128]], * Val accuracy / confusion: 55.58% / [[153, 59, 18], [61, 84, 30], [19, 44, 52]] ------------------------------ Epoch 1043 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.501185 - Iter 024 / 025, Loss: 0.732005 * Train accuracy / confusion: 77.12% / [[299, 40, 10], [71, 181, 18], [16, 28, 137]], * Val accuracy / confusion: 57.31% / [[161, 60, 9], [66, 85, 24], [18, 45, 52]] ------------------------------ Epoch 1044 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.769374 - Iter 024 / 025, Loss: 0.562724 * Train accuracy / confusion: 75.12% / [[298, 47, 13], [67, 171, 24], [13, 35, 132]], * Val accuracy / confusion: 57.88% / [[156, 57, 17], [67, 80, 28], [15, 35, 65]] ------------------------------ Epoch 1045 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.591134 - Iter 024 / 025, Loss: 0.720379 * Train accuracy / confusion: 77.38% / [[304, 46, 10], [61, 178, 30], [8, 26, 137]], * Val accuracy / confusion: 60.00% / [[160, 49, 21], [54, 91, 30], [12, 42, 61]] ------------------------------ Epoch 1046 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.623766 - Iter 024 / 025, Loss: 0.386477 * Train accuracy / confusion: 76.50% / [[300, 47, 12], [59, 184, 23], [17, 30, 128]], * Val accuracy / confusion: 58.85% / [[154, 54, 22], [61, 91, 23], [13, 41, 61]] ------------------------------ Epoch 1047 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.624596 - Iter 024 / 025, Loss: 0.578341 * Train accuracy / confusion: 74.62% / [[297, 45, 13], [61, 183, 23], [14, 47, 117]], * Val accuracy / confusion: 54.62% / [[154, 63, 13], [72, 84, 19], [22, 47, 46]] ------------------------------ Epoch 1048 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.526988 - Iter 024 / 025, Loss: 0.578826 * Train accuracy / confusion: 76.38% / [[308, 38, 9], [57, 178, 32], [17, 36, 125]], * Val accuracy / confusion: 57.88% / [[162, 56, 12], [60, 85, 30], [20, 41, 54]] ------------------------------ Epoch 1049 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.425833 - Iter 024 / 025, Loss: 0.726596 * Train accuracy / confusion: 76.75% / [[300, 43, 12], [65, 183, 21], [10, 35, 131]], * Val accuracy / confusion: 58.08% / [[159, 54, 17], [53, 96, 26], [21, 47, 47]] ------------------------------ Epoch 1050 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.792815 - Iter 024 / 025, Loss: 0.449692 * Train accuracy / confusion: 77.25% / [[304, 41, 11], [58, 191, 22], [14, 36, 123]], * Val accuracy / confusion: 59.04% / [[158, 58, 14], [56, 97, 22], [17, 46, 52]] ------------------------------ Epoch 1051 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.460061 - Iter 024 / 025, Loss: 0.476159 * Train accuracy / confusion: 77.62% / [[306, 46, 7], [60, 183, 25], [13, 28, 132]], * Val accuracy / confusion: 60.19% / [[157, 56, 17], [59, 99, 17], [16, 42, 57]] ------------------------------ Epoch 1052 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.631676 - Iter 024 / 025, Loss: 0.502422 * Train accuracy / confusion: 74.62% / [[296, 45, 14], [71, 171, 28], [13, 32, 130]], * Val accuracy / confusion: 58.46% / [[159, 59, 12], [58, 95, 22], [19, 46, 50]] ------------------------------ Epoch 1053 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.598438 - Iter 024 / 025, Loss: 0.555962 * Train accuracy / confusion: 76.38% / [[300, 47, 7], [64, 186, 15], [19, 37, 125]], * Val accuracy / confusion: 54.81% / [[155, 61, 14], [68, 85, 22], [24, 46, 45]] ------------------------------ Epoch 1054 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.552100 - Iter 024 / 025, Loss: 0.647013 * Train accuracy / confusion: 76.62% / [[304, 41, 12], [72, 171, 24], [9, 29, 138]], * Val accuracy / confusion: 56.54% / [[159, 51, 20], [71, 79, 25], [18, 41, 56]] ------------------------------ Epoch 1055 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.547077 - Iter 024 / 025, Loss: 0.537130 * Train accuracy / confusion: 74.50% / [[288, 57, 10], [63, 179, 27], [13, 34, 129]], * Val accuracy / confusion: 54.62% / [[150, 63, 17], [70, 77, 28], [17, 41, 57]] ------------------------------ Epoch 1056 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.562838 - Iter 024 / 025, Loss: 0.911079 * Train accuracy / confusion: 76.00% / [[293, 54, 12], [60, 187, 18], [14, 34, 128]], * Val accuracy / confusion: 54.62% / [[146, 65, 19], [52, 87, 36], [15, 49, 51]] ------------------------------ Epoch 1057 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.496813 - Iter 024 / 025, Loss: 0.464443 * Train accuracy / confusion: 76.00% / [[304, 42, 9], [69, 181, 21], [10, 41, 123]], * Val accuracy / confusion: 56.73% / [[158, 50, 22], [56, 82, 37], [14, 46, 55]] ------------------------------ Epoch 1058 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.645621 - Iter 024 / 025, Loss: 0.694318 * Train accuracy / confusion: 75.38% / [[298, 44, 14], [61, 178, 29], [18, 31, 127]], * Val accuracy / confusion: 57.69% / [[153, 63, 14], [52, 93, 30], [16, 45, 54]] ------------------------------ Epoch 1059 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.444819 - Iter 024 / 025, Loss: 0.634482 * Train accuracy / confusion: 74.12% / [[294, 50, 15], [61, 178, 24], [15, 42, 121]], * Val accuracy / confusion: 56.92% / [[160, 51, 19], [62, 82, 31], [15, 46, 54]] ------------------------------ Epoch 1060 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.511664 - Iter 024 / 025, Loss: 0.537963 * Train accuracy / confusion: 74.00% / [[291, 57, 11], [66, 174, 24], [16, 34, 127]], * Val accuracy / confusion: 57.50% / [[157, 52, 21], [64, 87, 24], [20, 40, 55]] ------------------------------ Epoch 1061 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.535547 - Iter 024 / 025, Loss: 0.601379 * Train accuracy / confusion: 76.12% / [[298, 51, 4], [67, 173, 27], [8, 34, 138]], * Val accuracy / confusion: 55.38% / [[149, 59, 22], [68, 87, 20], [19, 44, 52]] ------------------------------ Epoch 1062 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.806442 - Iter 024 / 025, Loss: 0.444208 * Train accuracy / confusion: 76.25% / [[295, 48, 12], [66, 187, 14], [12, 38, 128]], * Val accuracy / confusion: 58.27% / [[162, 56, 12], [58, 90, 27], [16, 48, 51]] ------------------------------ Epoch 1063 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.478861 - Iter 024 / 025, Loss: 0.398466 * Train accuracy / confusion: 77.00% / [[296, 44, 16], [55, 187, 23], [17, 29, 133]], * Val accuracy / confusion: 59.81% / [[155, 56, 19], [55, 95, 25], [17, 37, 61]] ------------------------------ Epoch 1064 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.714694 - Iter 024 / 025, Loss: 0.762439 * Train accuracy / confusion: 74.75% / [[299, 53, 5], [69, 175, 24], [19, 32, 124]], * Val accuracy / confusion: 59.42% / [[157, 56, 17], [63, 90, 22], [19, 34, 62]] ------------------------------ Epoch 1065 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.388971 - Iter 024 / 025, Loss: 0.615474 * Train accuracy / confusion: 75.00% / [[297, 46, 8], [74, 170, 26], [15, 31, 133]], * Val accuracy / confusion: 59.23% / [[160, 51, 19], [58, 90, 27], [16, 41, 58]] ------------------------------ Epoch 1066 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.526908 - Iter 024 / 025, Loss: 0.611909 * Train accuracy / confusion: 75.88% / [[300, 47, 10], [64, 174, 30], [11, 31, 133]], * Val accuracy / confusion: 59.42% / [[158, 56, 16], [52, 100, 23], [17, 47, 51]] ------------------------------ Epoch 1067 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.425250 - Iter 024 / 025, Loss: 0.596474 * Train accuracy / confusion: 78.00% / [[311, 33, 9], [70, 175, 26], [10, 28, 138]], * Val accuracy / confusion: 59.81% / [[170, 48, 12], [57, 87, 31], [14, 47, 54]] ------------------------------ Epoch 1068 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.676224 - Iter 024 / 025, Loss: 0.461882 * Train accuracy / confusion: 75.50% / [[292, 48, 12], [65, 180, 26], [10, 35, 132]], * Val accuracy / confusion: 56.73% / [[141, 69, 20], [49, 99, 27], [15, 45, 55]] ------------------------------ Epoch 1069 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.803390 - Iter 024 / 025, Loss: 0.499424 * Train accuracy / confusion: 74.38% / [[296, 49, 11], [68, 171, 27], [11, 39, 128]], * Val accuracy / confusion: 57.69% / [[152, 57, 21], [61, 89, 25], [24, 32, 59]] ------------------------------ Epoch 1070 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.676238 - Iter 024 / 025, Loss: 0.598442 * Train accuracy / confusion: 75.62% / [[291, 52, 13], [56, 192, 22], [12, 40, 122]], * Val accuracy / confusion: 58.08% / [[157, 64, 9], [61, 98, 16], [19, 49, 47]] ------------------------------ Epoch 1071 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.678739 - Iter 024 / 025, Loss: 0.610083 * Train accuracy / confusion: 74.50% / [[287, 60, 12], [67, 178, 20], [13, 32, 131]], * Val accuracy / confusion: 56.92% / [[157, 62, 11], [60, 90, 25], [21, 45, 49]] ------------------------------ Epoch 1072 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.494296 - Iter 024 / 025, Loss: 0.452111 * Train accuracy / confusion: 74.25% / [[301, 45, 11], [67, 172, 27], [18, 38, 121]], * Val accuracy / confusion: 59.62% / [[163, 54, 13], [63, 88, 24], [20, 36, 59]] ------------------------------ Epoch 1073 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.435040 - Iter 024 / 025, Loss: 0.632306 * Train accuracy / confusion: 76.00% / [[298, 40, 16], [69, 176, 23], [13, 31, 134]], * Val accuracy / confusion: 58.27% / [[165, 52, 13], [64, 78, 33], [17, 38, 60]] ------------------------------ Epoch 1074 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.613836 - Iter 024 / 025, Loss: 0.730697 * Train accuracy / confusion: 75.38% / [[299, 48, 10], [68, 173, 26], [9, 36, 131]], * Val accuracy / confusion: 54.62% / [[145, 64, 21], [71, 84, 20], [15, 45, 55]] ------------------------------ Epoch 1075 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.438049 - Iter 024 / 025, Loss: 0.708127 * Train accuracy / confusion: 75.00% / [[284, 60, 10], [61, 184, 24], [20, 25, 132]], * Val accuracy / confusion: 58.85% / [[163, 49, 18], [61, 91, 23], [23, 40, 52]] ------------------------------ Epoch 1076 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.709960 - Iter 024 / 025, Loss: 0.651553 * Train accuracy / confusion: 75.62% / [[289, 54, 10], [60, 184, 23], [12, 36, 132]], * Val accuracy / confusion: 59.42% / [[163, 52, 15], [61, 94, 20], [19, 44, 52]] ------------------------------ Epoch 1077 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.459100 - Iter 024 / 025, Loss: 0.485584 * Train accuracy / confusion: 73.50% / [[289, 61, 9], [67, 174, 24], [13, 38, 125]], * Val accuracy / confusion: 60.58% / [[162, 46, 22], [57, 101, 17], [13, 50, 52]] ------------------------------ Epoch 1078 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.356385 - Iter 024 / 025, Loss: 0.421048 * Train accuracy / confusion: 78.62% / [[298, 45, 11], [54, 192, 22], [15, 24, 139]], * Val accuracy / confusion: 56.15% / [[156, 56, 18], [68, 78, 29], [20, 37, 58]] ------------------------------ Epoch 1079 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.849517 - Iter 024 / 025, Loss: 0.634061 * Train accuracy / confusion: 76.50% / [[297, 44, 15], [60, 182, 23], [12, 34, 133]], * Val accuracy / confusion: 57.50% / [[151, 59, 20], [61, 92, 22], [21, 38, 56]] ------------------------------ Epoch 1080 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.627184 - Iter 024 / 025, Loss: 0.490331 * Train accuracy / confusion: 78.38% / [[309, 39, 9], [64, 178, 25], [15, 21, 140]], * Val accuracy / confusion: 57.31% / [[162, 56, 12], [72, 81, 22], [20, 40, 55]] ------------------------------ Epoch 1081 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.501941 - Iter 024 / 025, Loss: 0.417639 * Train accuracy / confusion: 78.12% / [[309, 33, 8], [57, 187, 26], [12, 39, 129]], * Val accuracy / confusion: 56.73% / [[154, 61, 15], [67, 85, 23], [17, 42, 56]] ------------------------------ Epoch 1082 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.579869 - Iter 024 / 025, Loss: 0.602301 * Train accuracy / confusion: 73.00% / [[291, 55, 15], [74, 162, 27], [13, 32, 131]], * Val accuracy / confusion: 60.19% / [[156, 56, 18], [58, 98, 19], [20, 36, 59]] ------------------------------ Epoch 1083 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.562865 - Iter 024 / 025, Loss: 0.508752 * Train accuracy / confusion: 77.12% / [[299, 41, 11], [68, 177, 23], [11, 29, 141]], * Val accuracy / confusion: 59.23% / [[160, 60, 10], [59, 92, 24], [20, 39, 56]] ------------------------------ Epoch 1084 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.639905 - Iter 024 / 025, Loss: 0.808358 * Train accuracy / confusion: 74.50% / [[284, 61, 12], [69, 173, 25], [10, 27, 139]], * Val accuracy / confusion: 56.73% / [[145, 60, 25], [54, 85, 36], [17, 33, 65]] ------------------------------ Epoch 1085 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.681218 - Iter 024 / 025, Loss: 0.587675 * Train accuracy / confusion: 76.00% / [[300, 54, 4], [62, 179, 21], [10, 41, 129]], * Val accuracy / confusion: 57.69% / [[155, 52, 23], [51, 87, 37], [19, 38, 58]] ------------------------------ Epoch 1086 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.606761 - Iter 024 / 025, Loss: 0.569554 * Train accuracy / confusion: 77.25% / [[295, 46, 15], [62, 187, 16], [18, 25, 136]], * Val accuracy / confusion: 58.85% / [[164, 55, 11], [66, 94, 15], [21, 46, 48]] ------------------------------ Epoch 1087 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.477402 - Iter 024 / 025, Loss: 0.484876 * Train accuracy / confusion: 77.00% / [[304, 42, 11], [61, 178, 28], [11, 31, 134]], * Val accuracy / confusion: 58.27% / [[154, 55, 21], [58, 88, 29], [14, 40, 61]] ------------------------------ Epoch 1088 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.625031 - Iter 024 / 025, Loss: 0.477423 * Train accuracy / confusion: 76.38% / [[299, 50, 9], [56, 181, 28], [10, 36, 131]], * Val accuracy / confusion: 56.92% / [[157, 60, 13], [65, 89, 21], [20, 45, 50]] ------------------------------ Epoch 1089 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.478017 - Iter 024 / 025, Loss: 0.409134 * Train accuracy / confusion: 77.88% / [[308, 39, 5], [65, 180, 24], [13, 31, 135]], * Val accuracy / confusion: 56.54% / [[153, 55, 22], [60, 83, 32], [16, 41, 58]] ------------------------------ Epoch 1090 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.570845 - Iter 024 / 025, Loss: 0.350671 * Train accuracy / confusion: 73.12% / [[282, 57, 14], [72, 171, 24], [14, 34, 132]], * Val accuracy / confusion: 60.77% / [[156, 49, 25], [54, 98, 23], [14, 39, 62]] ------------------------------ Epoch 1091 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.511427 - Iter 024 / 025, Loss: 0.556007 * Train accuracy / confusion: 75.38% / [[290, 55, 13], [60, 186, 22], [13, 34, 127]], * Val accuracy / confusion: 59.23% / [[156, 57, 17], [52, 90, 33], [17, 36, 62]] ------------------------------ Epoch 1092 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.502270 - Iter 024 / 025, Loss: 0.470581 * Train accuracy / confusion: 76.12% / [[293, 52, 12], [62, 186, 23], [13, 29, 130]], * Val accuracy / confusion: 56.15% / [[157, 55, 18], [60, 89, 26], [14, 55, 46]] ------------------------------ Epoch 1093 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.515512 - Iter 024 / 025, Loss: 0.373816 * Train accuracy / confusion: 74.12% / [[288, 53, 12], [67, 180, 26], [20, 29, 125]], * Val accuracy / confusion: 56.73% / [[156, 63, 11], [68, 87, 20], [22, 41, 52]] ------------------------------ Epoch 1094 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.443649 - Iter 024 / 025, Loss: 0.425741 * Train accuracy / confusion: 76.75% / [[304, 44, 11], [62, 185, 22], [14, 33, 125]], * Val accuracy / confusion: 60.58% / [[161, 52, 17], [61, 91, 23], [12, 40, 63]] ------------------------------ Epoch 1095 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.593709 - Iter 024 / 025, Loss: 0.430505 * Train accuracy / confusion: 75.62% / [[298, 46, 9], [70, 182, 18], [16, 36, 125]], * Val accuracy / confusion: 57.50% / [[154, 56, 20], [58, 83, 34], [18, 35, 62]] ------------------------------ Epoch 1096 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.400733 - Iter 024 / 025, Loss: 0.470233 * Train accuracy / confusion: 74.75% / [[302, 45, 13], [73, 168, 29], [12, 30, 128]], * Val accuracy / confusion: 60.96% / [[162, 50, 18], [64, 91, 20], [21, 30, 64]] ------------------------------ Epoch 1097 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.563778 - Iter 024 / 025, Loss: 0.644395 * Train accuracy / confusion: 76.38% / [[296, 47, 13], [65, 181, 20], [13, 31, 134]], * Val accuracy / confusion: 56.92% / [[158, 59, 13], [71, 86, 18], [19, 44, 52]] ------------------------------ Epoch 1098 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.566238 - Iter 024 / 025, Loss: 0.739864 * Train accuracy / confusion: 75.62% / [[300, 50, 11], [67, 175, 23], [8, 36, 130]], * Val accuracy / confusion: 58.27% / [[165, 46, 19], [63, 82, 30], [19, 40, 56]] ------------------------------ Epoch 1099 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.508182 - Iter 024 / 025, Loss: 0.556465 * Train accuracy / confusion: 73.88% / [[298, 39, 21], [67, 177, 28], [11, 43, 116]], * Val accuracy / confusion: 59.42% / [[151, 58, 21], [62, 94, 19], [18, 33, 64]] ------------------------------ Epoch 1100 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.384799 - Iter 024 / 025, Loss: 0.514845 * Train accuracy / confusion: 75.50% / [[305, 42, 13], [75, 176, 16], [19, 31, 123]], * Val accuracy / confusion: 57.12% / [[155, 61, 14], [67, 85, 23], [21, 37, 57]] ------------------------------ Epoch 1101 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.812881 - Iter 024 / 025, Loss: 0.482119 * Train accuracy / confusion: 75.00% / [[299, 45, 8], [64, 181, 26], [21, 36, 120]], * Val accuracy / confusion: 57.12% / [[163, 51, 16], [76, 75, 24], [19, 37, 59]] ------------------------------ Epoch 1102 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.568294 - Iter 024 / 025, Loss: 0.466600 * Train accuracy / confusion: 74.25% / [[286, 59, 13], [60, 177, 29], [10, 35, 131]], * Val accuracy / confusion: 59.81% / [[166, 48, 16], [60, 89, 26], [13, 46, 56]] ------------------------------ Epoch 1103 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.495386 - Iter 024 / 025, Loss: 0.638052 * Train accuracy / confusion: 74.62% / [[297, 45, 13], [67, 171, 31], [12, 35, 129]], * Val accuracy / confusion: 62.12% / [[170, 50, 10], [62, 95, 18], [19, 38, 58]] ------------------------------ Epoch 1104 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.413433 - Iter 024 / 025, Loss: 0.407982 * Train accuracy / confusion: 75.38% / [[302, 37, 12], [70, 168, 30], [11, 37, 133]], * Val accuracy / confusion: 57.50% / [[162, 55, 13], [63, 92, 20], [17, 53, 45]] ------------------------------ Epoch 1105 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.456758 - Iter 024 / 025, Loss: 0.656037 * Train accuracy / confusion: 76.12% / [[298, 49, 11], [54, 186, 28], [17, 32, 125]], * Val accuracy / confusion: 54.04% / [[157, 61, 12], [78, 72, 25], [19, 44, 52]] ------------------------------ Epoch 1106 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.611368 - Iter 024 / 025, Loss: 0.490502 * Train accuracy / confusion: 76.88% / [[304, 44, 9], [51, 191, 26], [16, 39, 120]], * Val accuracy / confusion: 56.73% / [[152, 60, 18], [63, 87, 25], [16, 43, 56]] ------------------------------ Epoch 1107 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.570655 - Iter 024 / 025, Loss: 0.647711 * Train accuracy / confusion: 76.12% / [[310, 42, 9], [65, 170, 23], [11, 41, 129]], * Val accuracy / confusion: 56.73% / [[161, 58, 11], [69, 86, 20], [22, 45, 48]] ------------------------------ Epoch 1108 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.962779 - Iter 024 / 025, Loss: 0.656050 * Train accuracy / confusion: 75.75% / [[300, 46, 9], [68, 175, 25], [14, 32, 131]], * Val accuracy / confusion: 56.35% / [[158, 53, 19], [61, 80, 34], [20, 40, 55]] ------------------------------ Epoch 1109 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.444183 - Iter 024 / 025, Loss: 0.551324 * Train accuracy / confusion: 76.75% / [[308, 44, 9], [61, 181, 26], [15, 31, 125]], * Val accuracy / confusion: 58.27% / [[159, 56, 15], [64, 89, 22], [21, 39, 55]] ------------------------------ Epoch 1110 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.412191 - Iter 024 / 025, Loss: 0.511485 * Train accuracy / confusion: 77.12% / [[300, 45, 11], [65, 184, 17], [15, 30, 133]], * Val accuracy / confusion: 58.46% / [[164, 50, 16], [62, 93, 20], [20, 48, 47]] ------------------------------ Epoch 1111 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.607831 - Iter 024 / 025, Loss: 0.612964 * Train accuracy / confusion: 77.50% / [[301, 49, 5], [68, 187, 16], [8, 34, 132]], * Val accuracy / confusion: 58.46% / [[159, 52, 19], [59, 89, 27], [16, 43, 56]] ------------------------------ Epoch 1112 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.468474 - Iter 024 / 025, Loss: 0.533868 * Train accuracy / confusion: 76.62% / [[301, 47, 6], [61, 184, 22], [13, 38, 128]], * Val accuracy / confusion: 58.46% / [[148, 64, 18], [57, 100, 18], [19, 40, 56]] ------------------------------ Epoch 1113 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.557142 - Iter 024 / 025, Loss: 0.520848 * Train accuracy / confusion: 75.62% / [[306, 32, 17], [62, 174, 31], [14, 39, 125]], * Val accuracy / confusion: 57.31% / [[160, 56, 14], [67, 82, 26], [14, 45, 56]] ------------------------------ Epoch 1114 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.554364 - Iter 024 / 025, Loss: 0.461342 * Train accuracy / confusion: 77.62% / [[304, 44, 6], [60, 188, 24], [11, 34, 129]], * Val accuracy / confusion: 54.23% / [[140, 72, 18], [59, 90, 26], [17, 46, 52]] ------------------------------ Epoch 1115 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.470900 - Iter 024 / 025, Loss: 0.528508 * Train accuracy / confusion: 75.38% / [[301, 48, 9], [69, 168, 28], [11, 32, 134]], * Val accuracy / confusion: 57.69% / [[151, 58, 21], [52, 93, 30], [18, 41, 56]] ------------------------------ Epoch 1116 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.569151 - Iter 024 / 025, Loss: 0.475535 * Train accuracy / confusion: 75.25% / [[299, 48, 10], [69, 171, 25], [16, 30, 132]], * Val accuracy / confusion: 56.92% / [[157, 58, 15], [65, 90, 20], [21, 45, 49]] ------------------------------ Epoch 1117 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.583585 - Iter 024 / 025, Loss: 0.554082 * Train accuracy / confusion: 77.25% / [[303, 42, 13], [58, 178, 26], [10, 33, 137]], * Val accuracy / confusion: 58.46% / [[150, 66, 14], [54, 103, 18], [22, 42, 51]] ------------------------------ Epoch 1118 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.553293 - Iter 024 / 025, Loss: 0.451936 * Train accuracy / confusion: 72.62% / [[291, 59, 11], [71, 167, 29], [20, 29, 123]], * Val accuracy / confusion: 60.19% / [[154, 56, 20], [54, 96, 25], [15, 37, 63]] ------------------------------ Epoch 1119 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.441071 - Iter 024 / 025, Loss: 0.497370 * Train accuracy / confusion: 80.00% / [[311, 39, 8], [61, 191, 16], [18, 18, 138]], * Val accuracy / confusion: 57.50% / [[159, 52, 19], [64, 89, 22], [19, 45, 51]] ------------------------------ Epoch 1120 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.562228 - Iter 024 / 025, Loss: 0.648732 * Train accuracy / confusion: 72.88% / [[292, 47, 12], [80, 167, 25], [12, 41, 124]], * Val accuracy / confusion: 58.85% / [[166, 51, 13], [63, 84, 28], [17, 42, 56]] ------------------------------ Epoch 1121 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.524212 - Iter 024 / 025, Loss: 0.455430 * Train accuracy / confusion: 74.00% / [[300, 46, 15], [73, 165, 25], [14, 35, 127]], * Val accuracy / confusion: 56.54% / [[160, 55, 15], [69, 82, 24], [14, 49, 52]] ------------------------------ Epoch 1122 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.410113 - Iter 024 / 025, Loss: 0.547566 * Train accuracy / confusion: 77.75% / [[301, 48, 7], [56, 183, 27], [17, 23, 138]], * Val accuracy / confusion: 57.69% / [[162, 56, 12], [70, 86, 19], [18, 45, 52]] ------------------------------ Epoch 1123 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.604440 - Iter 024 / 025, Loss: 0.442897 * Train accuracy / confusion: 76.50% / [[295, 49, 10], [57, 187, 29], [16, 27, 130]], * Val accuracy / confusion: 59.62% / [[163, 53, 14], [61, 85, 29], [18, 35, 62]] ------------------------------ Epoch 1124 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.508867 - Iter 024 / 025, Loss: 0.523410 * Train accuracy / confusion: 76.50% / [[307, 36, 15], [60, 184, 27], [12, 38, 121]], * Val accuracy / confusion: 58.08% / [[151, 61, 18], [55, 96, 24], [16, 44, 55]] ------------------------------ Epoch 1125 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.610715 - Iter 024 / 025, Loss: 0.686902 * Train accuracy / confusion: 73.25% / [[305, 45, 9], [75, 165, 29], [14, 42, 116]], * Val accuracy / confusion: 55.96% / [[152, 67, 11], [66, 90, 19], [19, 47, 49]] ------------------------------ Epoch 1126 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.479885 - Iter 024 / 025, Loss: 0.579394 * Train accuracy / confusion: 77.38% / [[295, 47, 10], [66, 188, 17], [6, 35, 136]], * Val accuracy / confusion: 55.58% / [[156, 59, 15], [74, 80, 21], [19, 43, 53]] ------------------------------ Epoch 1127 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.691127 - Iter 024 / 025, Loss: 0.462413 * Train accuracy / confusion: 75.75% / [[300, 52, 7], [63, 179, 24], [17, 31, 127]], * Val accuracy / confusion: 56.15% / [[157, 66, 7], [69, 87, 19], [16, 51, 48]] ------------------------------ Epoch 1128 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.338023 - Iter 024 / 025, Loss: 0.583709 * Train accuracy / confusion: 76.00% / [[305, 41, 12], [73, 172, 23], [12, 31, 131]], * Val accuracy / confusion: 56.15% / [[161, 54, 15], [73, 84, 18], [22, 46, 47]] ------------------------------ Epoch 1129 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.483223 - Iter 024 / 025, Loss: 0.520162 * Train accuracy / confusion: 75.38% / [[304, 40, 11], [67, 180, 22], [17, 40, 119]], * Val accuracy / confusion: 58.65% / [[161, 51, 18], [65, 88, 22], [18, 41, 56]] ------------------------------ Epoch 1130 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.442883 - Iter 024 / 025, Loss: 0.590014 * Train accuracy / confusion: 74.62% / [[292, 45, 19], [61, 179, 26], [12, 40, 126]], * Val accuracy / confusion: 58.08% / [[157, 54, 19], [59, 89, 27], [21, 38, 56]] ------------------------------ Epoch 1131 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.508790 - Iter 024 / 025, Loss: 0.456579 * Train accuracy / confusion: 77.25% / [[304, 35, 16], [69, 184, 15], [12, 35, 130]], * Val accuracy / confusion: 57.69% / [[165, 50, 15], [74, 80, 21], [18, 42, 55]] ------------------------------ Epoch 1132 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.485151 - Iter 024 / 025, Loss: 0.709433 * Train accuracy / confusion: 76.25% / [[303, 42, 11], [70, 176, 22], [12, 33, 131]], * Val accuracy / confusion: 56.54% / [[156, 55, 19], [60, 88, 27], [18, 47, 50]] ------------------------------ Epoch 1133 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.494107 - Iter 024 / 025, Loss: 0.551809 * Train accuracy / confusion: 76.25% / [[295, 53, 9], [65, 177, 23], [13, 27, 138]], * Val accuracy / confusion: 55.96% / [[159, 61, 10], [65, 82, 28], [23, 42, 50]] ------------------------------ Epoch 1134 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.497633 - Iter 024 / 025, Loss: 0.763194 * Train accuracy / confusion: 76.62% / [[295, 50, 8], [63, 185, 20], [15, 31, 133]], * Val accuracy / confusion: 60.38% / [[170, 45, 15], [68, 88, 19], [17, 42, 56]] ------------------------------ Epoch 1135 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.746362 - Iter 024 / 025, Loss: 0.494773 * Train accuracy / confusion: 75.88% / [[307, 36, 11], [63, 172, 32], [13, 38, 128]], * Val accuracy / confusion: 57.12% / [[158, 53, 19], [65, 83, 27], [18, 41, 56]] ------------------------------ Epoch 1136 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.555666 - Iter 024 / 025, Loss: 0.697447 * Train accuracy / confusion: 75.62% / [[297, 48, 11], [65, 177, 27], [12, 32, 131]], * Val accuracy / confusion: 57.12% / [[149, 63, 18], [64, 89, 22], [19, 37, 59]] ------------------------------ Epoch 1137 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.543261 - Iter 024 / 025, Loss: 0.438891 * Train accuracy / confusion: 76.00% / [[302, 45, 10], [69, 174, 25], [15, 28, 132]], * Val accuracy / confusion: 56.54% / [[158, 56, 16], [65, 80, 30], [20, 39, 56]] ------------------------------ Epoch 1138 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.579588 - Iter 024 / 025, Loss: 0.627560 * Train accuracy / confusion: 76.62% / [[309, 41, 9], [65, 183, 23], [11, 38, 121]], * Val accuracy / confusion: 56.54% / [[150, 59, 21], [64, 86, 25], [13, 44, 58]] ------------------------------ Epoch 1139 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.402026 - Iter 024 / 025, Loss: 0.651761 * Train accuracy / confusion: 77.50% / [[305, 38, 13], [62, 188, 19], [16, 32, 127]], * Val accuracy / confusion: 60.00% / [[157, 59, 14], [58, 93, 24], [13, 40, 62]] ------------------------------ Epoch 1140 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.417955 - Iter 024 / 025, Loss: 0.594053 * Train accuracy / confusion: 76.25% / [[303, 47, 8], [59, 182, 24], [15, 37, 125]], * Val accuracy / confusion: 57.12% / [[165, 55, 10], [70, 84, 21], [16, 51, 48]] ------------------------------ Epoch 1141 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.798894 - Iter 024 / 025, Loss: 0.401415 * Train accuracy / confusion: 75.38% / [[287, 48, 18], [67, 185, 20], [13, 31, 131]], * Val accuracy / confusion: 57.12% / [[153, 58, 19], [62, 86, 27], [16, 41, 58]] ------------------------------ Epoch 1142 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.441894 - Iter 024 / 025, Loss: 0.633874 * Train accuracy / confusion: 76.38% / [[296, 53, 9], [63, 183, 19], [12, 33, 132]], * Val accuracy / confusion: 59.42% / [[163, 48, 19], [67, 94, 14], [15, 48, 52]] ------------------------------ Epoch 1143 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.447493 - Iter 024 / 025, Loss: 0.666664 * Train accuracy / confusion: 77.75% / [[309, 44, 6], [66, 183, 16], [16, 30, 130]], * Val accuracy / confusion: 55.19% / [[158, 50, 22], [67, 71, 37], [18, 39, 58]] ------------------------------ Epoch 1144 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.414611 - Iter 024 / 025, Loss: 0.574463 * Train accuracy / confusion: 74.25% / [[292, 56, 8], [70, 175, 22], [16, 34, 127]], * Val accuracy / confusion: 58.85% / [[160, 54, 16], [59, 89, 27], [22, 36, 57]] ------------------------------ Epoch 1145 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.621625 - Iter 024 / 025, Loss: 0.736072 * Train accuracy / confusion: 76.75% / [[301, 43, 12], [64, 179, 26], [14, 27, 134]], * Val accuracy / confusion: 54.81% / [[157, 57, 16], [74, 81, 20], [19, 49, 47]] ------------------------------ Epoch 1146 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.634998 - Iter 024 / 025, Loss: 0.611619 * Train accuracy / confusion: 76.12% / [[299, 50, 11], [66, 178, 23], [11, 30, 132]], * Val accuracy / confusion: 57.12% / [[153, 61, 16], [63, 84, 28], [20, 35, 60]] ------------------------------ Epoch 1147 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.936728 - Iter 024 / 025, Loss: 0.449117 * Train accuracy / confusion: 74.00% / [[288, 60, 8], [66, 177, 26], [16, 32, 127]], * Val accuracy / confusion: 57.50% / [[158, 58, 14], [62, 88, 25], [10, 52, 53]] ------------------------------ Epoch 1148 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.672909 - Iter 024 / 025, Loss: 0.299047 * Train accuracy / confusion: 77.38% / [[296, 46, 8], [66, 194, 11], [17, 33, 129]], * Val accuracy / confusion: 57.50% / [[160, 52, 18], [60, 86, 29], [21, 41, 53]] ------------------------------ Epoch 1149 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.446753 - Iter 024 / 025, Loss: 0.783472 * Train accuracy / confusion: 76.00% / [[299, 41, 15], [62, 179, 27], [15, 32, 130]], * Val accuracy / confusion: 58.46% / [[162, 51, 17], [62, 82, 31], [18, 37, 60]] ------------------------------ Epoch 1150 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.504694 - Iter 024 / 025, Loss: 0.413166 * Train accuracy / confusion: 78.50% / [[303, 46, 9], [60, 186, 18], [11, 28, 139]], * Val accuracy / confusion: 54.62% / [[146, 62, 22], [61, 88, 26], [20, 45, 50]] ------------------------------ Epoch 1151 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.500762 - Iter 024 / 025, Loss: 0.540595 * Train accuracy / confusion: 77.00% / [[304, 42, 10], [66, 179, 23], [11, 32, 133]], * Val accuracy / confusion: 58.65% / [[158, 55, 17], [64, 96, 15], [24, 40, 51]] ------------------------------ Epoch 1152 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.571180 - Iter 024 / 025, Loss: 0.576923 * Train accuracy / confusion: 76.88% / [[304, 44, 8], [66, 182, 22], [12, 33, 129]], * Val accuracy / confusion: 59.04% / [[168, 56, 6], [67, 90, 18], [18, 48, 49]] ------------------------------ Epoch 1153 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.505579 - Iter 024 / 025, Loss: 0.474614 * Train accuracy / confusion: 77.12% / [[301, 50, 8], [55, 185, 27], [11, 32, 131]], * Val accuracy / confusion: 56.54% / [[153, 67, 10], [59, 92, 24], [12, 54, 49]] ------------------------------ Epoch 1154 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.494666 - Iter 024 / 025, Loss: 0.416607 * Train accuracy / confusion: 76.75% / [[294, 50, 12], [62, 189, 20], [8, 34, 131]], * Val accuracy / confusion: 58.27% / [[159, 52, 19], [65, 84, 26], [18, 37, 60]] ------------------------------ Epoch 1155 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.709777 - Iter 024 / 025, Loss: 0.496640 * Train accuracy / confusion: 74.00% / [[291, 52, 15], [53, 182, 34], [16, 38, 119]], * Val accuracy / confusion: 56.15% / [[157, 54, 19], [64, 77, 34], [15, 42, 58]] ------------------------------ Epoch 1156 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.528451 - Iter 024 / 025, Loss: 0.651196 * Train accuracy / confusion: 74.38% / [[304, 49, 8], [74, 166, 23], [15, 36, 125]], * Val accuracy / confusion: 54.81% / [[155, 58, 17], [65, 87, 23], [23, 49, 43]] ------------------------------ Epoch 1157 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.665455 - Iter 024 / 025, Loss: 0.378554 * Train accuracy / confusion: 75.12% / [[295, 49, 12], [69, 176, 22], [15, 32, 130]], * Val accuracy / confusion: 59.42% / [[165, 51, 14], [63, 85, 27], [17, 39, 59]] ------------------------------ Epoch 1158 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.546117 - Iter 024 / 025, Loss: 0.738931 * Train accuracy / confusion: 77.38% / [[300, 46, 10], [63, 181, 20], [12, 30, 138]], * Val accuracy / confusion: 58.08% / [[157, 59, 14], [61, 92, 22], [19, 43, 53]] ------------------------------ Epoch 1159 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.501791 - Iter 024 / 025, Loss: 0.618888 * Train accuracy / confusion: 78.12% / [[306, 43, 10], [63, 185, 18], [14, 27, 134]], * Val accuracy / confusion: 60.00% / [[165, 52, 13], [58, 88, 29], [12, 44, 59]] ------------------------------ Epoch 1160 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.631366 - Iter 024 / 025, Loss: 0.574815 * Train accuracy / confusion: 73.75% / [[290, 56, 13], [70, 170, 26], [18, 27, 130]], * Val accuracy / confusion: 56.54% / [[157, 58, 15], [66, 82, 27], [15, 45, 55]] ------------------------------ Epoch 1161 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.595789 - Iter 024 / 025, Loss: 0.463903 * Train accuracy / confusion: 76.62% / [[299, 47, 9], [67, 177, 23], [9, 32, 137]], * Val accuracy / confusion: 59.04% / [[159, 56, 15], [58, 98, 19], [16, 49, 50]] ------------------------------ Epoch 1162 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.642639 - Iter 024 / 025, Loss: 0.324691 * Train accuracy / confusion: 76.25% / [[300, 49, 11], [65, 181, 20], [15, 30, 129]], * Val accuracy / confusion: 60.19% / [[164, 49, 17], [59, 90, 26], [20, 36, 59]] ------------------------------ Epoch 1163 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.630458 - Iter 024 / 025, Loss: 0.544509 * Train accuracy / confusion: 76.50% / [[299, 47, 12], [64, 180, 23], [12, 30, 133]], * Val accuracy / confusion: 56.35% / [[159, 62, 9], [69, 79, 27], [18, 42, 55]] ------------------------------ Epoch 1164 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.431673 - Iter 024 / 025, Loss: 0.468627 * Train accuracy / confusion: 74.75% / [[290, 60, 6], [74, 174, 19], [12, 31, 134]], * Val accuracy / confusion: 58.08% / [[150, 64, 16], [56, 99, 20], [16, 46, 53]] ------------------------------ Epoch 1165 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.591116 - Iter 024 / 025, Loss: 0.489263 * Train accuracy / confusion: 75.62% / [[300, 43, 13], [69, 175, 27], [11, 32, 130]], * Val accuracy / confusion: 59.23% / [[162, 54, 14], [61, 90, 24], [13, 46, 56]] ------------------------------ Epoch 1166 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.579269 - Iter 024 / 025, Loss: 0.420706 * Train accuracy / confusion: 77.12% / [[309, 45, 6], [63, 178, 21], [14, 34, 130]], * Val accuracy / confusion: 59.42% / [[162, 58, 10], [60, 93, 22], [18, 43, 54]] ------------------------------ Epoch 1167 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.620354 - Iter 024 / 025, Loss: 0.465276 * Train accuracy / confusion: 76.00% / [[302, 40, 10], [71, 175, 25], [16, 30, 131]], * Val accuracy / confusion: 57.50% / [[156, 55, 19], [62, 84, 29], [20, 36, 59]] ------------------------------ Epoch 1168 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.618620 - Iter 024 / 025, Loss: 0.699066 * Train accuracy / confusion: 75.25% / [[295, 47, 13], [63, 178, 26], [19, 30, 129]], * Val accuracy / confusion: 57.12% / [[158, 53, 19], [67, 85, 23], [18, 43, 54]] ------------------------------ Epoch 1169 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.462965 - Iter 024 / 025, Loss: 0.675636 * Train accuracy / confusion: 77.38% / [[300, 44, 10], [59, 182, 27], [14, 27, 137]], * Val accuracy / confusion: 58.27% / [[157, 57, 16], [55, 87, 33], [19, 37, 59]] ------------------------------ Epoch 1170 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.641848 - Iter 024 / 025, Loss: 0.572567 * Train accuracy / confusion: 76.38% / [[301, 45, 9], [59, 177, 31], [14, 31, 133]], * Val accuracy / confusion: 57.50% / [[163, 52, 15], [73, 76, 26], [22, 33, 60]] ------------------------------ Epoch 1171 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.556844 - Iter 024 / 025, Loss: 0.542536 * Train accuracy / confusion: 74.12% / [[296, 54, 11], [71, 169, 24], [19, 28, 128]], * Val accuracy / confusion: 58.85% / [[155, 65, 10], [61, 95, 19], [15, 44, 56]] ------------------------------ Epoch 1172 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.458819 - Iter 024 / 025, Loss: 0.607749 * Train accuracy / confusion: 77.75% / [[305, 40, 14], [56, 190, 21], [14, 33, 127]], * Val accuracy / confusion: 59.23% / [[165, 52, 13], [64, 88, 23], [17, 43, 55]] ------------------------------ Epoch 1173 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.639722 - Iter 024 / 025, Loss: 0.505072 * Train accuracy / confusion: 76.38% / [[286, 57, 9], [69, 185, 17], [9, 28, 140]], * Val accuracy / confusion: 57.50% / [[158, 57, 15], [70, 84, 21], [17, 41, 57]] ------------------------------ Epoch 1174 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.388303 - Iter 024 / 025, Loss: 0.577619 * Train accuracy / confusion: 76.38% / [[299, 45, 15], [62, 183, 20], [16, 31, 129]], * Val accuracy / confusion: 58.65% / [[154, 62, 14], [57, 94, 24], [21, 37, 57]] ------------------------------ Epoch 1175 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.706261 - Iter 024 / 025, Loss: 0.471660 * Train accuracy / confusion: 76.88% / [[292, 45, 11], [56, 193, 23], [14, 36, 130]], * Val accuracy / confusion: 58.08% / [[163, 53, 14], [68, 82, 25], [15, 43, 57]] ------------------------------ Epoch 1176 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.413228 - Iter 024 / 025, Loss: 0.681106 * Train accuracy / confusion: 77.00% / [[293, 49, 16], [65, 182, 17], [11, 26, 141]], * Val accuracy / confusion: 60.96% / [[162, 53, 15], [49, 95, 31], [16, 39, 60]] ------------------------------ Epoch 1177 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.687772 - Iter 024 / 025, Loss: 0.499008 * Train accuracy / confusion: 75.25% / [[296, 59, 7], [66, 175, 20], [10, 36, 131]], * Val accuracy / confusion: 58.27% / [[163, 49, 18], [64, 89, 22], [18, 46, 51]] ------------------------------ Epoch 1178 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.564272 - Iter 024 / 025, Loss: 0.587565 * Train accuracy / confusion: 77.12% / [[302, 42, 11], [66, 182, 20], [18, 26, 133]], * Val accuracy / confusion: 59.04% / [[154, 59, 17], [63, 89, 23], [10, 41, 64]] ------------------------------ Epoch 1179 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.536710 - Iter 024 / 025, Loss: 0.331403 * Train accuracy / confusion: 75.75% / [[296, 49, 13], [65, 175, 27], [14, 26, 135]], * Val accuracy / confusion: 56.92% / [[153, 64, 13], [58, 89, 28], [18, 43, 54]] ------------------------------ Epoch 1180 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.411490 - Iter 024 / 025, Loss: 0.465373 * Train accuracy / confusion: 75.00% / [[291, 52, 11], [70, 174, 22], [10, 35, 135]], * Val accuracy / confusion: 54.42% / [[149, 55, 26], [58, 84, 33], [18, 47, 50]] ------------------------------ Epoch 1181 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.630350 - Iter 024 / 025, Loss: 0.479583 * Train accuracy / confusion: 76.62% / [[299, 47, 7], [67, 176, 25], [11, 30, 138]], * Val accuracy / confusion: 60.58% / [[164, 47, 19], [58, 93, 24], [18, 39, 58]] ------------------------------ Epoch 1182 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.524768 - Iter 024 / 025, Loss: 0.400754 * Train accuracy / confusion: 77.62% / [[309, 39, 6], [67, 176, 26], [12, 29, 136]], * Val accuracy / confusion: 59.62% / [[160, 52, 18], [59, 86, 30], [17, 34, 64]] ------------------------------ Epoch 1183 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.086470 - Iter 024 / 025, Loss: 0.608272 * Train accuracy / confusion: 75.50% / [[291, 52, 13], [55, 189, 23], [13, 40, 124]], * Val accuracy / confusion: 58.46% / [[154, 59, 17], [59, 97, 19], [18, 44, 53]] ------------------------------ Epoch 1184 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.712334 - Iter 024 / 025, Loss: 0.486571 * Train accuracy / confusion: 76.62% / [[293, 54, 9], [57, 185, 27], [8, 32, 135]], * Val accuracy / confusion: 59.23% / [[163, 47, 20], [61, 90, 24], [23, 37, 55]] ------------------------------ Epoch 1185 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.502198 - Iter 024 / 025, Loss: 0.592228 * Train accuracy / confusion: 76.12% / [[300, 42, 11], [72, 170, 27], [6, 33, 139]], * Val accuracy / confusion: 57.12% / [[161, 55, 14], [76, 81, 18], [14, 46, 55]] ------------------------------ Epoch 1186 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.605104 - Iter 024 / 025, Loss: 0.845028 * Train accuracy / confusion: 74.88% / [[295, 51, 12], [72, 179, 17], [17, 32, 125]], * Val accuracy / confusion: 57.69% / [[152, 58, 20], [56, 88, 31], [16, 39, 60]] ------------------------------ Epoch 1187 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.459265 - Iter 024 / 025, Loss: 0.787048 * Train accuracy / confusion: 75.88% / [[303, 43, 11], [71, 175, 21], [12, 35, 129]], * Val accuracy / confusion: 56.54% / [[154, 62, 14], [59, 95, 21], [20, 50, 45]] ------------------------------ Epoch 1188 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.454572 - Iter 024 / 025, Loss: 0.448958 * Train accuracy / confusion: 74.00% / [[287, 56, 15], [73, 176, 18], [16, 30, 129]], * Val accuracy / confusion: 58.46% / [[165, 53, 12], [68, 81, 26], [18, 39, 58]] ------------------------------ Epoch 1189 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.671052 - Iter 024 / 025, Loss: 0.428632 * Train accuracy / confusion: 77.00% / [[308, 48, 8], [58, 184, 22], [12, 36, 124]], * Val accuracy / confusion: 58.85% / [[165, 55, 10], [67, 88, 20], [18, 44, 53]] ------------------------------ Epoch 1190 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.548720 - Iter 024 / 025, Loss: 0.498878 * Train accuracy / confusion: 77.50% / [[301, 45, 8], [59, 183, 26], [11, 31, 136]], * Val accuracy / confusion: 57.31% / [[155, 61, 14], [63, 93, 19], [17, 48, 50]] ------------------------------ Epoch 1191 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.482292 - Iter 024 / 025, Loss: 0.529190 * Train accuracy / confusion: 78.00% / [[300, 45, 12], [58, 193, 16], [12, 33, 131]], * Val accuracy / confusion: 57.69% / [[154, 60, 16], [66, 90, 19], [16, 43, 56]] ------------------------------ Epoch 1192 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.560257 - Iter 024 / 025, Loss: 0.430920 * Train accuracy / confusion: 75.75% / [[300, 48, 9], [66, 175, 29], [7, 35, 131]], * Val accuracy / confusion: 57.69% / [[154, 62, 14], [55, 96, 24], [19, 46, 50]] ------------------------------ Epoch 1193 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.555352 - Iter 024 / 025, Loss: 0.538523 * Train accuracy / confusion: 74.75% / [[287, 51, 16], [69, 175, 24], [16, 26, 136]], * Val accuracy / confusion: 58.85% / [[154, 56, 20], [56, 95, 24], [19, 39, 57]] ------------------------------ Epoch 1194 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.476561 - Iter 024 / 025, Loss: 0.561285 * Train accuracy / confusion: 77.38% / [[315, 34, 10], [62, 173, 29], [15, 31, 131]], * Val accuracy / confusion: 56.15% / [[147, 64, 19], [63, 89, 23], [16, 43, 56]] ------------------------------ Epoch 1195 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.494410 - Iter 024 / 025, Loss: 0.514826 * Train accuracy / confusion: 76.25% / [[297, 48, 6], [76, 173, 23], [4, 33, 140]], * Val accuracy / confusion: 57.31% / [[155, 60, 15], [56, 90, 29], [18, 44, 53]] ------------------------------ Epoch 1196 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.402626 - Iter 024 / 025, Loss: 0.505120 * Train accuracy / confusion: 77.38% / [[301, 47, 6], [63, 179, 26], [7, 32, 139]], * Val accuracy / confusion: 55.38% / [[145, 67, 18], [65, 84, 26], [16, 40, 59]] ------------------------------ Epoch 1197 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.492918 - Iter 024 / 025, Loss: 0.528695 * Train accuracy / confusion: 76.12% / [[292, 52, 8], [66, 177, 30], [8, 27, 140]], * Val accuracy / confusion: 58.08% / [[161, 48, 21], [67, 89, 19], [18, 45, 52]] ------------------------------ Epoch 1198 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.559679 - Iter 024 / 025, Loss: 0.504705 * Train accuracy / confusion: 76.88% / [[301, 42, 8], [66, 181, 23], [12, 34, 133]], * Val accuracy / confusion: 57.50% / [[163, 54, 13], [61, 87, 27], [17, 49, 49]] ------------------------------ Epoch 1199 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.577691 - Iter 024 / 025, Loss: 0.548669 * Train accuracy / confusion: 77.25% / [[300, 52, 7], [60, 185, 23], [8, 32, 133]], * Val accuracy / confusion: 58.85% / [[162, 55, 13], [61, 90, 24], [16, 45, 54]] ------------------------------ Epoch 1200 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.482749 - Iter 024 / 025, Loss: 0.485984 * Train accuracy / confusion: 79.50% / [[314, 42, 4], [56, 187, 20], [14, 28, 135]], * Val accuracy / confusion: 55.58% / [[158, 54, 18], [70, 81, 24], [17, 48, 50]] ------------------------------ Epoch 1201 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.672961 - Iter 024 / 025, Loss: 0.585964 * Train accuracy / confusion: 77.75% / [[294, 49, 12], [65, 183, 17], [11, 24, 145]], * Val accuracy / confusion: 60.38% / [[152, 63, 15], [56, 102, 17], [17, 38, 60]] ------------------------------ Epoch 1202 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.552799 - Iter 024 / 025, Loss: 0.637440 * Train accuracy / confusion: 76.12% / [[297, 45, 13], [66, 186, 18], [13, 36, 126]], * Val accuracy / confusion: 55.00% / [[154, 52, 24], [61, 83, 31], [13, 53, 49]] ------------------------------ Epoch 1203 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.544986 - Iter 024 / 025, Loss: 0.484410 * Train accuracy / confusion: 75.12% / [[294, 50, 13], [60, 182, 27], [13, 36, 125]], * Val accuracy / confusion: 56.15% / [[154, 57, 19], [62, 83, 30], [18, 42, 55]] ------------------------------ Epoch 1204 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.549390 - Iter 024 / 025, Loss: 0.490833 * Train accuracy / confusion: 76.25% / [[300, 55, 6], [72, 170, 22], [9, 26, 140]], * Val accuracy / confusion: 57.31% / [[158, 54, 18], [57, 87, 31], [16, 46, 53]] ------------------------------ Epoch 1205 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.591084 - Iter 024 / 025, Loss: 0.468551 * Train accuracy / confusion: 75.62% / [[297, 53, 4], [64, 174, 30], [10, 34, 134]], * Val accuracy / confusion: 56.35% / [[153, 61, 16], [68, 89, 18], [17, 47, 51]] ------------------------------ Epoch 1206 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.358003 - Iter 024 / 025, Loss: 0.499186 * Train accuracy / confusion: 77.25% / [[298, 47, 13], [61, 183, 23], [8, 30, 137]], * Val accuracy / confusion: 60.38% / [[160, 55, 15], [60, 97, 18], [12, 46, 57]] ------------------------------ Epoch 1207 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.537161 - Iter 024 / 025, Loss: 0.538658 * Train accuracy / confusion: 77.50% / [[294, 53, 11], [59, 192, 18], [10, 29, 134]], * Val accuracy / confusion: 56.35% / [[156, 59, 15], [71, 76, 28], [15, 39, 61]] ------------------------------ Epoch 1208 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.494958 - Iter 024 / 025, Loss: 0.548225 * Train accuracy / confusion: 77.12% / [[306, 42, 8], [63, 183, 25], [18, 27, 128]], * Val accuracy / confusion: 56.15% / [[152, 65, 13], [65, 87, 23], [24, 38, 53]] ------------------------------ Epoch 1209 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.432149 - Iter 024 / 025, Loss: 0.450852 * Train accuracy / confusion: 75.12% / [[297, 52, 11], [68, 170, 28], [13, 27, 134]], * Val accuracy / confusion: 58.85% / [[162, 55, 13], [60, 90, 25], [15, 46, 54]] ------------------------------ Epoch 1210 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.532909 - Iter 024 / 025, Loss: 0.458578 * Train accuracy / confusion: 76.25% / [[300, 42, 9], [70, 179, 20], [17, 32, 131]], * Val accuracy / confusion: 57.88% / [[157, 62, 11], [68, 87, 20], [18, 40, 57]] ------------------------------ Epoch 1211 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.520201 - Iter 024 / 025, Loss: 0.557500 * Train accuracy / confusion: 74.62% / [[292, 53, 9], [69, 181, 19], [13, 40, 124]], * Val accuracy / confusion: 57.50% / [[150, 65, 15], [53, 96, 26], [14, 48, 53]] ------------------------------ Epoch 1212 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.510055 - Iter 024 / 025, Loss: 0.501966 * Train accuracy / confusion: 74.75% / [[283, 57, 12], [58, 186, 24], [21, 30, 129]], * Val accuracy / confusion: 55.77% / [[147, 71, 12], [60, 92, 23], [18, 46, 51]] ------------------------------ Epoch 1213 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.624081 - Iter 024 / 025, Loss: 0.546201 * Train accuracy / confusion: 74.62% / [[302, 49, 7], [67, 171, 28], [10, 42, 124]], * Val accuracy / confusion: 56.54% / [[164, 54, 12], [68, 81, 26], [21, 45, 49]] ------------------------------ Epoch 1214 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.555332 - Iter 024 / 025, Loss: 0.587081 * Train accuracy / confusion: 76.12% / [[293, 55, 9], [61, 182, 21], [12, 33, 134]], * Val accuracy / confusion: 60.38% / [[156, 55, 19], [55, 97, 23], [20, 34, 61]] ------------------------------ Epoch 1215 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.612198 - Iter 024 / 025, Loss: 0.785902 * Train accuracy / confusion: 75.38% / [[296, 53, 12], [66, 178, 22], [9, 35, 129]], * Val accuracy / confusion: 58.08% / [[168, 53, 9], [69, 81, 25], [21, 41, 53]] ------------------------------ Epoch 1216 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.439353 - Iter 024 / 025, Loss: 0.477343 * Train accuracy / confusion: 77.38% / [[305, 46, 8], [66, 180, 20], [9, 32, 134]], * Val accuracy / confusion: 59.62% / [[158, 56, 16], [55, 94, 26], [16, 41, 58]] ------------------------------ Epoch 1217 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.412259 - Iter 024 / 025, Loss: 0.686624 * Train accuracy / confusion: 75.38% / [[291, 55, 8], [64, 185, 20], [13, 37, 127]], * Val accuracy / confusion: 55.58% / [[153, 63, 14], [62, 84, 29], [22, 41, 52]] ------------------------------ Epoch 1218 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.440187 - Iter 024 / 025, Loss: 0.545697 * Train accuracy / confusion: 76.50% / [[300, 41, 11], [65, 180, 23], [15, 33, 132]], * Val accuracy / confusion: 56.92% / [[155, 51, 24], [68, 87, 20], [22, 39, 54]] ------------------------------ Epoch 1219 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.550294 - Iter 024 / 025, Loss: 0.546464 * Train accuracy / confusion: 77.12% / [[297, 49, 7], [56, 187, 23], [13, 35, 133]], * Val accuracy / confusion: 59.62% / [[155, 51, 24], [56, 89, 30], [15, 34, 66]] ------------------------------ Epoch 1220 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.455889 - Iter 024 / 025, Loss: 0.536944 * Train accuracy / confusion: 77.88% / [[312, 46, 3], [65, 176, 25], [10, 28, 135]], * Val accuracy / confusion: 56.92% / [[159, 59, 12], [65, 85, 25], [17, 46, 52]] ------------------------------ Epoch 1221 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.658133 - Iter 024 / 025, Loss: 0.518310 * Train accuracy / confusion: 75.88% / [[302, 36, 16], [66, 182, 22], [18, 35, 123]], * Val accuracy / confusion: 57.69% / [[152, 64, 14], [56, 101, 18], [24, 44, 47]] ------------------------------ Epoch 1222 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.568637 - Iter 024 / 025, Loss: 0.512257 * Train accuracy / confusion: 76.75% / [[296, 45, 13], [66, 180, 22], [10, 30, 138]], * Val accuracy / confusion: 55.19% / [[158, 53, 19], [65, 81, 29], [21, 46, 48]] ------------------------------ Epoch 1223 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.625131 - Iter 024 / 025, Loss: 0.602866 * Train accuracy / confusion: 76.50% / [[300, 49, 9], [70, 181, 16], [13, 31, 131]], * Val accuracy / confusion: 59.42% / [[161, 53, 16], [59, 94, 22], [19, 42, 54]] ------------------------------ Epoch 1224 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.486557 - Iter 024 / 025, Loss: 0.569917 * Train accuracy / confusion: 76.88% / [[306, 46, 8], [66, 183, 18], [19, 28, 126]], * Val accuracy / confusion: 56.54% / [[154, 62, 14], [64, 84, 27], [20, 39, 56]] ------------------------------ Epoch 1225 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.412403 - Iter 024 / 025, Loss: 0.608558 * Train accuracy / confusion: 76.12% / [[294, 52, 12], [62, 186, 15], [16, 34, 129]], * Val accuracy / confusion: 60.00% / [[163, 51, 16], [55, 90, 30], [15, 41, 59]] ------------------------------ Epoch 1226 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.474708 - Iter 024 / 025, Loss: 0.954646 * Train accuracy / confusion: 76.75% / [[300, 38, 13], [60, 186, 25], [17, 33, 128]], * Val accuracy / confusion: 55.77% / [[155, 55, 20], [72, 75, 28], [15, 40, 60]] ------------------------------ Epoch 1227 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.672373 - Iter 024 / 025, Loss: 0.414226 * Train accuracy / confusion: 77.38% / [[301, 44, 13], [59, 185, 21], [10, 34, 133]], * Val accuracy / confusion: 57.88% / [[162, 54, 14], [65, 84, 26], [21, 39, 55]] ------------------------------ Epoch 1228 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.574058 - Iter 024 / 025, Loss: 0.419697 * Train accuracy / confusion: 74.88% / [[293, 55, 9], [60, 178, 27], [16, 34, 128]], * Val accuracy / confusion: 55.77% / [[154, 50, 26], [66, 83, 26], [18, 44, 53]] ------------------------------ Epoch 1229 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.657053 - Iter 024 / 025, Loss: 0.504952 * Train accuracy / confusion: 77.12% / [[304, 39, 14], [69, 177, 19], [8, 34, 136]], * Val accuracy / confusion: 57.88% / [[164, 45, 21], [64, 78, 33], [15, 41, 59]] ------------------------------ Epoch 1230 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.386529 - Iter 024 / 025, Loss: 0.767542 * Train accuracy / confusion: 75.75% / [[295, 49, 13], [64, 181, 22], [9, 37, 130]], * Val accuracy / confusion: 55.19% / [[156, 53, 21], [61, 85, 29], [20, 49, 46]] ------------------------------ Epoch 1231 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.534067 - Iter 024 / 025, Loss: 0.348323 * Train accuracy / confusion: 76.62% / [[298, 49, 8], [60, 183, 24], [12, 34, 132]], * Val accuracy / confusion: 57.31% / [[157, 55, 18], [64, 87, 24], [14, 47, 54]] ------------------------------ Epoch 1232 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.759316 - Iter 024 / 025, Loss: 0.583130 * Train accuracy / confusion: 75.50% / [[293, 53, 11], [62, 180, 22], [16, 32, 131]], * Val accuracy / confusion: 59.04% / [[154, 60, 16], [54, 92, 29], [19, 35, 61]] ------------------------------ Epoch 1233 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.579270 - Iter 024 / 025, Loss: 0.471224 * Train accuracy / confusion: 74.25% / [[294, 55, 10], [68, 166, 31], [8, 34, 134]], * Val accuracy / confusion: 55.77% / [[161, 52, 17], [68, 75, 32], [19, 42, 54]] ------------------------------ Epoch 1234 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.672222 - Iter 024 / 025, Loss: 0.481011 * Train accuracy / confusion: 77.50% / [[298, 48, 12], [69, 178, 19], [11, 21, 144]], * Val accuracy / confusion: 56.15% / [[148, 68, 14], [56, 90, 29], [17, 44, 54]] ------------------------------ Epoch 1235 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.560810 - Iter 024 / 025, Loss: 0.747001 * Train accuracy / confusion: 75.50% / [[296, 52, 7], [62, 176, 30], [13, 32, 132]], * Val accuracy / confusion: 58.27% / [[156, 54, 20], [68, 87, 20], [18, 37, 60]] ------------------------------ Epoch 1236 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.646105 - Iter 024 / 025, Loss: 0.695361 * Train accuracy / confusion: 74.00% / [[295, 50, 10], [70, 168, 28], [12, 38, 129]], * Val accuracy / confusion: 57.88% / [[165, 54, 11], [74, 82, 19], [20, 41, 54]] ------------------------------ Epoch 1237 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.516229 - Iter 024 / 025, Loss: 0.522114 * Train accuracy / confusion: 75.62% / [[300, 46, 11], [74, 175, 22], [9, 33, 130]], * Val accuracy / confusion: 57.69% / [[159, 56, 15], [68, 81, 26], [14, 41, 60]] ------------------------------ Epoch 1238 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.409052 - Iter 024 / 025, Loss: 0.353851 * Train accuracy / confusion: 76.88% / [[304, 45, 6], [65, 185, 20], [15, 34, 126]], * Val accuracy / confusion: 59.81% / [[162, 49, 19], [55, 93, 27], [12, 47, 56]] ------------------------------ Epoch 1239 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.380440 - Iter 024 / 025, Loss: 0.478521 * Train accuracy / confusion: 79.12% / [[306, 37, 12], [62, 189, 18], [9, 29, 138]], * Val accuracy / confusion: 54.81% / [[151, 61, 18], [70, 78, 27], [17, 42, 56]] ------------------------------ Epoch 1240 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.402521 - Iter 024 / 025, Loss: 0.581453 * Train accuracy / confusion: 75.50% / [[287, 59, 12], [62, 182, 27], [6, 30, 135]], * Val accuracy / confusion: 56.15% / [[160, 53, 17], [66, 78, 31], [21, 40, 54]] ------------------------------ Epoch 1241 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.794157 - Iter 024 / 025, Loss: 0.533097 * Train accuracy / confusion: 77.00% / [[305, 38, 13], [61, 177, 25], [13, 34, 134]], * Val accuracy / confusion: 58.46% / [[158, 59, 13], [63, 86, 26], [19, 36, 60]] ------------------------------ Epoch 1242 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.626869 - Iter 024 / 025, Loss: 0.340362 * Train accuracy / confusion: 74.38% / [[294, 49, 10], [70, 178, 20], [12, 44, 123]], * Val accuracy / confusion: 59.81% / [[157, 58, 15], [55, 96, 24], [16, 41, 58]] ------------------------------ Epoch 1243 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.596678 - Iter 024 / 025, Loss: 0.474214 * Train accuracy / confusion: 76.75% / [[306, 39, 11], [69, 175, 25], [9, 33, 133]], * Val accuracy / confusion: 58.85% / [[154, 58, 18], [60, 99, 16], [16, 46, 53]] ------------------------------ Epoch 1244 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.887369 - Iter 024 / 025, Loss: 0.439898 * Train accuracy / confusion: 78.25% / [[311, 36, 11], [65, 185, 18], [13, 31, 130]], * Val accuracy / confusion: 58.27% / [[159, 55, 16], [60, 92, 23], [11, 52, 52]] ------------------------------ Epoch 1245 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.701852 - Iter 024 / 025, Loss: 0.634720 * Train accuracy / confusion: 76.00% / [[299, 45, 14], [60, 176, 27], [17, 29, 133]], * Val accuracy / confusion: 57.69% / [[155, 64, 11], [61, 92, 22], [15, 47, 53]] ------------------------------ Epoch 1246 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.453811 - Iter 024 / 025, Loss: 0.499545 * Train accuracy / confusion: 76.50% / [[309, 41, 9], [57, 177, 33], [13, 35, 126]], * Val accuracy / confusion: 58.08% / [[157, 57, 16], [52, 95, 28], [12, 53, 50]] ------------------------------ Epoch 1247 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.713249 - Iter 024 / 025, Loss: 0.960594 * Train accuracy / confusion: 76.00% / [[307, 39, 9], [75, 170, 23], [9, 37, 131]], * Val accuracy / confusion: 55.38% / [[151, 60, 19], [54, 86, 35], [19, 45, 51]] ------------------------------ Epoch 1248 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.430132 - Iter 024 / 025, Loss: 0.594270 * Train accuracy / confusion: 77.00% / [[295, 52, 10], [56, 187, 28], [7, 31, 134]], * Val accuracy / confusion: 56.35% / [[143, 67, 20], [58, 99, 18], [19, 45, 51]] ------------------------------ Epoch 1249 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.616831 - Iter 024 / 025, Loss: 0.593748 * Train accuracy / confusion: 76.50% / [[303, 43, 16], [59, 181, 27], [6, 37, 128]], * Val accuracy / confusion: 56.35% / [[149, 62, 19], [62, 87, 26], [14, 44, 57]] ------------------------------ Epoch 1250 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.423212 - Iter 024 / 025, Loss: 0.425586 * Train accuracy / confusion: 81.12% / [[303, 44, 13], [40, 207, 18], [11, 25, 139]], * Val accuracy / confusion: 56.35% / [[161, 57, 12], [70, 83, 22], [20, 46, 49]] ------------------------------ Epoch 1251 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.421633 - Iter 024 / 025, Loss: 0.715181 * Train accuracy / confusion: 76.00% / [[300, 44, 11], [72, 171, 23], [17, 25, 137]], * Val accuracy / confusion: 58.27% / [[155, 60, 15], [64, 93, 18], [17, 43, 55]] ------------------------------ Epoch 1252 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.458439 - Iter 024 / 025, Loss: 0.444723 * Train accuracy / confusion: 76.62% / [[297, 43, 10], [68, 181, 23], [12, 31, 135]], * Val accuracy / confusion: 58.27% / [[158, 62, 10], [62, 89, 24], [16, 43, 56]] ------------------------------ Epoch 1253 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.557382 - Iter 024 / 025, Loss: 0.620944 * Train accuracy / confusion: 78.12% / [[302, 40, 13], [56, 189, 26], [14, 26, 134]], * Val accuracy / confusion: 55.77% / [[158, 56, 16], [68, 81, 26], [19, 45, 51]] ------------------------------ Epoch 1254 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.669027 - Iter 024 / 025, Loss: 0.518991 * Train accuracy / confusion: 75.12% / [[299, 44, 10], [66, 177, 26], [19, 34, 125]], * Val accuracy / confusion: 60.19% / [[164, 52, 14], [62, 89, 24], [20, 35, 60]] ------------------------------ Epoch 1255 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.479584 - Iter 024 / 025, Loss: 0.709733 * Train accuracy / confusion: 75.38% / [[298, 47, 15], [64, 183, 17], [15, 39, 122]], * Val accuracy / confusion: 58.65% / [[159, 53, 18], [66, 86, 23], [16, 39, 60]] ------------------------------ Epoch 1256 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.837686 - Iter 024 / 025, Loss: 0.746210 * Train accuracy / confusion: 74.12% / [[290, 50, 17], [72, 172, 25], [16, 27, 131]], * Val accuracy / confusion: 56.92% / [[160, 54, 16], [71, 82, 22], [17, 44, 54]] ------------------------------ Epoch 1257 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.614869 - Iter 024 / 025, Loss: 0.449355 * Train accuracy / confusion: 74.00% / [[290, 58, 9], [69, 167, 30], [9, 33, 135]], * Val accuracy / confusion: 59.04% / [[163, 58, 9], [53, 92, 30], [15, 48, 52]] ------------------------------ Epoch 1258 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.485382 - Iter 024 / 025, Loss: 0.581155 * Train accuracy / confusion: 75.88% / [[304, 43, 8], [69, 172, 28], [14, 31, 131]], * Val accuracy / confusion: 60.38% / [[158, 50, 22], [57, 97, 21], [16, 40, 59]] ------------------------------ Epoch 1259 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.566519 - Iter 024 / 025, Loss: 0.610921 * Train accuracy / confusion: 77.25% / [[300, 45, 8], [65, 194, 16], [14, 34, 124]], * Val accuracy / confusion: 55.77% / [[149, 62, 19], [60, 89, 26], [13, 50, 52]] ------------------------------ Epoch 1260 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.596433 - Iter 024 / 025, Loss: 0.675447 * Train accuracy / confusion: 74.88% / [[289, 60, 9], [67, 177, 28], [7, 30, 133]], * Val accuracy / confusion: 56.35% / [[159, 50, 21], [72, 76, 27], [21, 36, 58]] ------------------------------ Epoch 1261 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.508185 - Iter 024 / 025, Loss: 0.381465 * Train accuracy / confusion: 76.50% / [[305, 46, 6], [63, 175, 29], [7, 37, 132]], * Val accuracy / confusion: 56.35% / [[165, 52, 13], [73, 75, 27], [20, 42, 53]] ------------------------------ Epoch 1262 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.372407 - Iter 024 / 025, Loss: 0.542909 * Train accuracy / confusion: 75.62% / [[304, 39, 15], [65, 178, 25], [19, 32, 123]], * Val accuracy / confusion: 56.54% / [[147, 65, 18], [62, 93, 20], [18, 43, 54]] ------------------------------ Epoch 1263 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.610234 - Iter 024 / 025, Loss: 0.560162 * Train accuracy / confusion: 74.75% / [[296, 51, 8], [71, 176, 23], [15, 34, 126]], * Val accuracy / confusion: 56.73% / [[147, 64, 19], [60, 88, 27], [14, 41, 60]] ------------------------------ Epoch 1264 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.354305 - Iter 024 / 025, Loss: 0.671891 * Train accuracy / confusion: 77.12% / [[302, 41, 16], [65, 183, 17], [15, 29, 132]], * Val accuracy / confusion: 57.88% / [[156, 52, 22], [61, 88, 26], [16, 42, 57]] ------------------------------ Epoch 1265 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.497030 - Iter 024 / 025, Loss: 0.491029 * Train accuracy / confusion: 75.50% / [[291, 55, 8], [61, 179, 28], [15, 29, 134]], * Val accuracy / confusion: 57.88% / [[160, 56, 14], [71, 83, 21], [15, 42, 58]] ------------------------------ Epoch 1266 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.843152 - Iter 024 / 025, Loss: 0.540921 * Train accuracy / confusion: 75.12% / [[303, 47, 10], [70, 167, 29], [15, 28, 131]], * Val accuracy / confusion: 56.73% / [[148, 62, 20], [63, 86, 26], [11, 43, 61]] ------------------------------ Epoch 1267 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.552347 - Iter 024 / 025, Loss: 0.483860 * Train accuracy / confusion: 77.25% / [[306, 35, 15], [61, 184, 22], [13, 36, 128]], * Val accuracy / confusion: 59.04% / [[158, 51, 21], [56, 89, 30], [17, 38, 60]] ------------------------------ Epoch 1268 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.519399 - Iter 024 / 025, Loss: 0.510122 * Train accuracy / confusion: 75.75% / [[292, 53, 8], [63, 175, 30], [10, 30, 139]], * Val accuracy / confusion: 57.69% / [[153, 57, 20], [63, 87, 25], [13, 42, 60]] ------------------------------ Epoch 1269 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.610861 - Iter 024 / 025, Loss: 0.508098 * Train accuracy / confusion: 74.50% / [[298, 51, 9], [75, 175, 18], [14, 37, 123]], * Val accuracy / confusion: 59.81% / [[163, 55, 12], [58, 97, 20], [17, 47, 51]] ------------------------------ Epoch 1270 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.469848 - Iter 024 / 025, Loss: 0.450228 * Train accuracy / confusion: 75.12% / [[295, 52, 8], [69, 177, 22], [10, 38, 129]], * Val accuracy / confusion: 56.73% / [[156, 61, 13], [67, 86, 22], [17, 45, 53]] ------------------------------ Epoch 1271 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.490201 - Iter 024 / 025, Loss: 0.492387 * Train accuracy / confusion: 75.62% / [[298, 47, 12], [65, 175, 28], [9, 34, 132]], * Val accuracy / confusion: 59.81% / [[159, 55, 16], [62, 91, 22], [15, 39, 61]] ------------------------------ Epoch 1272 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.738952 - Iter 024 / 025, Loss: 0.595723 * Train accuracy / confusion: 76.38% / [[298, 52, 10], [58, 178, 29], [17, 23, 135]], * Val accuracy / confusion: 57.12% / [[153, 55, 22], [56, 86, 33], [15, 42, 58]] ------------------------------ Epoch 1273 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.405944 - Iter 024 / 025, Loss: 0.698745 * Train accuracy / confusion: 76.00% / [[296, 46, 8], [65, 183, 23], [11, 39, 129]], * Val accuracy / confusion: 59.62% / [[161, 57, 12], [61, 91, 23], [18, 39, 58]] ------------------------------ Epoch 1274 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.490787 - Iter 024 / 025, Loss: 0.648264 * Train accuracy / confusion: 77.88% / [[302, 44, 9], [65, 181, 21], [9, 29, 140]], * Val accuracy / confusion: 58.27% / [[153, 57, 20], [57, 92, 26], [17, 40, 58]] ------------------------------ Epoch 1275 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.638777 - Iter 024 / 025, Loss: 0.520545 * Train accuracy / confusion: 79.75% / [[315, 31, 8], [62, 187, 21], [7, 33, 136]], * Val accuracy / confusion: 57.50% / [[150, 61, 19], [45, 92, 38], [15, 43, 57]] ------------------------------ Epoch 1276 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.579156 - Iter 024 / 025, Loss: 0.384312 * Train accuracy / confusion: 75.88% / [[288, 58, 16], [61, 182, 17], [10, 31, 137]], * Val accuracy / confusion: 56.35% / [[149, 70, 11], [60, 85, 30], [17, 39, 59]] ------------------------------ Epoch 1277 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.635047 - Iter 024 / 025, Loss: 0.448110 * Train accuracy / confusion: 78.38% / [[302, 46, 9], [57, 195, 14], [10, 37, 130]], * Val accuracy / confusion: 55.38% / [[160, 60, 10], [71, 81, 23], [18, 50, 47]] ------------------------------ Epoch 1278 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.512622 - Iter 024 / 025, Loss: 0.592024 * Train accuracy / confusion: 76.88% / [[293, 50, 12], [56, 191, 21], [15, 31, 131]], * Val accuracy / confusion: 55.00% / [[147, 63, 20], [69, 82, 24], [17, 41, 57]] ------------------------------ Epoch 1279 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.608562 - Iter 024 / 025, Loss: 0.589812 * Train accuracy / confusion: 74.88% / [[302, 42, 11], [76, 170, 24], [12, 36, 127]], * Val accuracy / confusion: 62.12% / [[168, 46, 16], [55, 99, 21], [24, 35, 56]] ------------------------------ Epoch 1280 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.723907 - Iter 024 / 025, Loss: 0.552976 * Train accuracy / confusion: 80.00% / [[318, 38, 2], [61, 187, 22], [10, 27, 135]], * Val accuracy / confusion: 58.85% / [[156, 60, 14], [61, 89, 25], [16, 38, 61]] ------------------------------ Epoch 1281 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.620537 - Iter 024 / 025, Loss: 0.416519 * Train accuracy / confusion: 77.75% / [[313, 39, 8], [63, 178, 25], [12, 31, 131]], * Val accuracy / confusion: 59.81% / [[158, 57, 15], [54, 99, 22], [19, 42, 54]] ------------------------------ Epoch 1282 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.610381 - Iter 024 / 025, Loss: 0.445246 * Train accuracy / confusion: 75.25% / [[290, 50, 16], [59, 183, 25], [11, 37, 129]], * Val accuracy / confusion: 59.04% / [[162, 53, 15], [65, 89, 21], [16, 43, 56]] ------------------------------ Epoch 1283 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.424776 - Iter 024 / 025, Loss: 0.346784 * Train accuracy / confusion: 79.88% / [[308, 37, 10], [51, 195, 20], [11, 32, 136]], * Val accuracy / confusion: 56.92% / [[165, 52, 13], [68, 84, 23], [21, 47, 47]] ------------------------------ Epoch 1284 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.652358 - Iter 024 / 025, Loss: 0.540093 * Train accuracy / confusion: 76.88% / [[290, 52, 13], [52, 194, 26], [17, 25, 131]], * Val accuracy / confusion: 57.69% / [[163, 50, 17], [72, 82, 21], [18, 42, 55]] ------------------------------ Epoch 1285 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.687615 - Iter 024 / 025, Loss: 0.445334 * Train accuracy / confusion: 75.25% / [[285, 63, 8], [60, 184, 21], [13, 33, 133]], * Val accuracy / confusion: 60.00% / [[162, 52, 16], [52, 99, 24], [19, 45, 51]] ------------------------------ Epoch 1286 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.531139 - Iter 024 / 025, Loss: 0.506836 * Train accuracy / confusion: 75.75% / [[296, 43, 14], [59, 182, 28], [11, 39, 128]], * Val accuracy / confusion: 60.38% / [[166, 51, 13], [61, 88, 26], [12, 43, 60]] ------------------------------ Epoch 1287 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.353466 - Iter 024 / 025, Loss: 0.458327 * Train accuracy / confusion: 77.62% / [[295, 53, 10], [54, 195, 16], [7, 39, 131]], * Val accuracy / confusion: 60.19% / [[156, 48, 26], [54, 96, 25], [14, 40, 61]] ------------------------------ Epoch 1288 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.407614 - Iter 024 / 025, Loss: 0.568021 * Train accuracy / confusion: 76.25% / [[299, 48, 11], [66, 180, 20], [8, 37, 131]], * Val accuracy / confusion: 58.65% / [[158, 60, 12], [61, 93, 21], [21, 40, 54]] ------------------------------ Epoch 1289 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.458272 - Iter 024 / 025, Loss: 0.380808 * Train accuracy / confusion: 75.88% / [[300, 43, 12], [68, 175, 26], [8, 36, 132]], * Val accuracy / confusion: 57.12% / [[153, 58, 19], [57, 93, 25], [20, 44, 51]] ------------------------------ Epoch 1290 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.661960 - Iter 024 / 025, Loss: 0.417456 * Train accuracy / confusion: 76.12% / [[296, 47, 13], [64, 185, 18], [19, 30, 128]], * Val accuracy / confusion: 58.08% / [[162, 53, 15], [65, 86, 24], [21, 40, 54]] ------------------------------ Epoch 1291 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.530224 - Iter 024 / 025, Loss: 0.611608 * Train accuracy / confusion: 76.00% / [[297, 47, 13], [72, 178, 20], [13, 27, 133]], * Val accuracy / confusion: 58.65% / [[154, 62, 14], [57, 95, 23], [17, 42, 56]] ------------------------------ Epoch 1292 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.626841 - Iter 024 / 025, Loss: 0.541754 * Train accuracy / confusion: 76.25% / [[302, 44, 10], [71, 176, 22], [15, 28, 132]], * Val accuracy / confusion: 59.04% / [[154, 57, 19], [54, 96, 25], [15, 43, 57]] ------------------------------ Epoch 1293 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.410447 - Iter 024 / 025, Loss: 0.316398 * Train accuracy / confusion: 75.62% / [[307, 35, 15], [77, 164, 23], [12, 33, 134]], * Val accuracy / confusion: 59.42% / [[156, 60, 14], [56, 91, 28], [15, 38, 62]] ------------------------------ Epoch 1294 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.495099 - Iter 024 / 025, Loss: 0.559746 * Train accuracy / confusion: 78.00% / [[304, 42, 9], [61, 189, 16], [14, 34, 131]], * Val accuracy / confusion: 60.58% / [[168, 52, 10], [61, 88, 26], [17, 39, 59]] ------------------------------ Epoch 1295 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.796133 - Iter 024 / 025, Loss: 0.566962 * Train accuracy / confusion: 76.75% / [[295, 48, 14], [55, 187, 26], [13, 30, 132]], * Val accuracy / confusion: 56.15% / [[149, 60, 21], [53, 93, 29], [17, 48, 50]] ------------------------------ Epoch 1296 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.434377 - Iter 024 / 025, Loss: 0.433602 * Train accuracy / confusion: 79.50% / [[299, 49, 7], [56, 194, 18], [10, 24, 143]], * Val accuracy / confusion: 59.04% / [[159, 58, 13], [66, 94, 15], [18, 43, 54]] ------------------------------ Epoch 1297 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.508985 - Iter 024 / 025, Loss: 0.499240 * Train accuracy / confusion: 76.88% / [[304, 47, 10], [59, 184, 26], [20, 23, 127]], * Val accuracy / confusion: 60.77% / [[159, 52, 19], [59, 95, 21], [13, 40, 62]] ------------------------------ Epoch 1298 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.450762 - Iter 024 / 025, Loss: 0.715611 * Train accuracy / confusion: 77.88% / [[303, 43, 12], [61, 186, 18], [11, 32, 134]], * Val accuracy / confusion: 57.69% / [[150, 67, 13], [60, 91, 24], [19, 37, 59]] ------------------------------ Epoch 1299 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.622887 - Iter 024 / 025, Loss: 0.629111 * Train accuracy / confusion: 76.25% / [[300, 38, 20], [67, 181, 19], [11, 35, 129]], * Val accuracy / confusion: 58.65% / [[156, 59, 15], [65, 89, 21], [21, 34, 60]] ------------------------------ Epoch 1300 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.443045 - Iter 024 / 025, Loss: 0.704570 * Train accuracy / confusion: 73.50% / [[290, 56, 8], [73, 169, 25], [12, 38, 129]], * Val accuracy / confusion: 57.12% / [[155, 56, 19], [58, 91, 26], [16, 48, 51]] ------------------------------ Epoch 1301 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 1.095606 - Iter 024 / 025, Loss: 0.668631 * Train accuracy / confusion: 76.12% / [[304, 47, 7], [60, 180, 27], [15, 35, 125]], * Val accuracy / confusion: 59.04% / [[167, 53, 10], [61, 86, 28], [17, 44, 54]] ------------------------------ Epoch 1302 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.508470 - Iter 024 / 025, Loss: 0.558610 * Train accuracy / confusion: 77.88% / [[299, 46, 7], [54, 191, 24], [11, 35, 133]], * Val accuracy / confusion: 57.69% / [[157, 52, 21], [61, 87, 27], [20, 39, 56]] ------------------------------ Epoch 1303 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.335824 - Iter 024 / 025, Loss: 0.501037 * Train accuracy / confusion: 77.25% / [[302, 47, 9], [66, 182, 17], [11, 32, 134]], * Val accuracy / confusion: 59.62% / [[158, 55, 17], [53, 91, 31], [17, 37, 61]] ------------------------------ Epoch 1304 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.976065 - Iter 024 / 025, Loss: 0.393305 * Train accuracy / confusion: 76.88% / [[302, 45, 14], [61, 185, 18], [12, 35, 128]], * Val accuracy / confusion: 56.73% / [[150, 54, 26], [54, 93, 28], [16, 47, 52]] ------------------------------ Epoch 1305 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.662750 - Iter 024 / 025, Loss: 0.788148 * Train accuracy / confusion: 76.62% / [[296, 50, 16], [62, 187, 16], [12, 31, 130]], * Val accuracy / confusion: 57.88% / [[160, 51, 19], [65, 87, 23], [14, 47, 54]] ------------------------------ Epoch 1306 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.550626 - Iter 024 / 025, Loss: 0.512206 * Train accuracy / confusion: 76.88% / [[307, 46, 8], [59, 183, 23], [13, 36, 125]], * Val accuracy / confusion: 57.12% / [[153, 65, 12], [64, 88, 23], [19, 40, 56]] ------------------------------ Epoch 1307 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.552702 - Iter 024 / 025, Loss: 0.585298 * Train accuracy / confusion: 78.25% / [[312, 43, 3], [64, 187, 17], [13, 34, 127]], * Val accuracy / confusion: 57.12% / [[161, 56, 13], [60, 81, 34], [18, 42, 55]] ------------------------------ Epoch 1308 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.479531 - Iter 024 / 025, Loss: 0.748817 * Train accuracy / confusion: 77.75% / [[305, 42, 9], [59, 182, 29], [10, 29, 135]], * Val accuracy / confusion: 56.92% / [[162, 53, 15], [60, 90, 25], [18, 53, 44]] ------------------------------ Epoch 1309 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.768000 - Iter 024 / 025, Loss: 0.484024 * Train accuracy / confusion: 76.50% / [[294, 53, 13], [62, 185, 19], [15, 26, 133]], * Val accuracy / confusion: 58.08% / [[155, 60, 15], [60, 85, 30], [14, 39, 62]] ------------------------------ Epoch 1310 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 1.103165 - Iter 024 / 025, Loss: 0.449553 * Train accuracy / confusion: 76.38% / [[295, 49, 14], [61, 182, 20], [8, 37, 134]], * Val accuracy / confusion: 55.38% / [[156, 61, 13], [71, 86, 18], [16, 53, 46]] ------------------------------ Epoch 1311 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.482347 - Iter 024 / 025, Loss: 0.462889 * Train accuracy / confusion: 77.00% / [[302, 41, 12], [58, 188, 22], [14, 37, 126]], * Val accuracy / confusion: 60.77% / [[163, 53, 14], [62, 99, 14], [18, 43, 54]] ------------------------------ Epoch 1312 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.627613 - Iter 024 / 025, Loss: 0.710052 * Train accuracy / confusion: 78.00% / [[311, 38, 7], [61, 187, 20], [14, 36, 126]], * Val accuracy / confusion: 57.88% / [[154, 63, 13], [63, 88, 24], [16, 40, 59]] ------------------------------ Epoch 1313 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.392882 - Iter 024 / 025, Loss: 0.802829 * Train accuracy / confusion: 76.75% / [[306, 42, 7], [74, 172, 21], [10, 32, 136]], * Val accuracy / confusion: 57.12% / [[164, 51, 15], [69, 84, 22], [17, 49, 49]] ------------------------------ Epoch 1314 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.477263 - Iter 024 / 025, Loss: 0.482266 * Train accuracy / confusion: 74.88% / [[297, 54, 8], [62, 180, 24], [12, 41, 122]], * Val accuracy / confusion: 57.31% / [[149, 65, 16], [55, 93, 27], [12, 47, 56]] ------------------------------ Epoch 1315 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.497405 - Iter 024 / 025, Loss: 0.541179 * Train accuracy / confusion: 79.50% / [[302, 44, 13], [58, 197, 14], [9, 26, 137]], * Val accuracy / confusion: 54.81% / [[155, 58, 17], [72, 73, 30], [15, 43, 57]] ------------------------------ Epoch 1316 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.626255 - Iter 024 / 025, Loss: 0.544828 * Train accuracy / confusion: 76.88% / [[293, 46, 11], [52, 186, 35], [13, 28, 136]], * Val accuracy / confusion: 56.92% / [[153, 55, 22], [60, 91, 24], [15, 48, 52]] ------------------------------ Epoch 1317 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.717564 - Iter 024 / 025, Loss: 0.514488 * Train accuracy / confusion: 76.25% / [[303, 46, 9], [67, 173, 29], [13, 26, 134]], * Val accuracy / confusion: 58.46% / [[164, 51, 15], [63, 82, 30], [20, 37, 58]] ------------------------------ Epoch 1318 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.583618 - Iter 024 / 025, Loss: 0.464349 * Train accuracy / confusion: 75.50% / [[303, 44, 14], [61, 179, 27], [9, 41, 122]], * Val accuracy / confusion: 59.42% / [[159, 53, 18], [59, 90, 26], [17, 38, 60]] ------------------------------ Epoch 1319 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.423672 - Iter 024 / 025, Loss: 0.553242 * Train accuracy / confusion: 76.50% / [[299, 45, 9], [55, 191, 26], [13, 40, 122]], * Val accuracy / confusion: 59.81% / [[164, 49, 17], [55, 95, 25], [22, 41, 52]] ------------------------------ Epoch 1320 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.563252 - Iter 024 / 025, Loss: 0.483803 * Train accuracy / confusion: 76.00% / [[285, 59, 9], [55, 190, 25], [10, 34, 133]], * Val accuracy / confusion: 56.54% / [[152, 54, 24], [64, 92, 19], [21, 44, 50]] ------------------------------ Epoch 1321 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.349819 - Iter 024 / 025, Loss: 0.533939 * Train accuracy / confusion: 76.88% / [[300, 45, 11], [59, 187, 23], [19, 28, 128]], * Val accuracy / confusion: 57.31% / [[157, 58, 15], [65, 83, 27], [16, 41, 58]] ------------------------------ Epoch 1322 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.477509 - Iter 024 / 025, Loss: 0.466638 * Train accuracy / confusion: 78.38% / [[307, 43, 10], [63, 178, 22], [8, 27, 142]], * Val accuracy / confusion: 58.65% / [[154, 57, 19], [57, 98, 20], [16, 46, 53]] ------------------------------ Epoch 1323 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.627090 - Iter 024 / 025, Loss: 0.637295 * Train accuracy / confusion: 75.25% / [[292, 53, 6], [66, 173, 33], [13, 27, 137]], * Val accuracy / confusion: 58.08% / [[163, 49, 18], [65, 78, 32], [18, 36, 61]] ------------------------------ Epoch 1324 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.562563 - Iter 024 / 025, Loss: 0.656745 * Train accuracy / confusion: 77.75% / [[301, 43, 9], [60, 186, 22], [13, 31, 135]], * Val accuracy / confusion: 58.85% / [[153, 63, 14], [57, 100, 18], [16, 46, 53]] ------------------------------ Epoch 1325 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.611699 - Iter 024 / 025, Loss: 0.597526 * Train accuracy / confusion: 77.88% / [[301, 44, 7], [61, 194, 16], [18, 31, 128]], * Val accuracy / confusion: 60.19% / [[159, 57, 14], [57, 91, 27], [20, 32, 63]] ------------------------------ Epoch 1326 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.370288 - Iter 024 / 025, Loss: 0.685363 * Train accuracy / confusion: 78.00% / [[299, 42, 12], [66, 190, 15], [14, 27, 135]], * Val accuracy / confusion: 59.23% / [[158, 56, 16], [63, 90, 22], [16, 39, 60]] ------------------------------ Epoch 1327 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.452235 - Iter 024 / 025, Loss: 0.343003 * Train accuracy / confusion: 74.62% / [[298, 52, 4], [71, 167, 33], [11, 32, 132]], * Val accuracy / confusion: 58.65% / [[155, 56, 19], [52, 93, 30], [21, 37, 57]] ------------------------------ Epoch 1328 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.530455 - Iter 024 / 025, Loss: 0.497576 * Train accuracy / confusion: 77.25% / [[296, 52, 10], [54, 189, 22], [12, 32, 133]], * Val accuracy / confusion: 58.85% / [[161, 53, 16], [67, 84, 24], [19, 35, 61]] ------------------------------ Epoch 1329 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.563181 - Iter 024 / 025, Loss: 0.496608 * Train accuracy / confusion: 78.25% / [[298, 47, 8], [63, 190, 19], [9, 28, 138]], * Val accuracy / confusion: 56.15% / [[157, 58, 15], [63, 84, 28], [16, 48, 51]] ------------------------------ Epoch 1330 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.576740 - Iter 024 / 025, Loss: 0.553215 * Train accuracy / confusion: 75.25% / [[286, 53, 16], [63, 185, 23], [13, 30, 131]], * Val accuracy / confusion: 55.77% / [[159, 53, 18], [63, 76, 36], [20, 40, 55]] ------------------------------ Epoch 1331 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.501972 - Iter 024 / 025, Loss: 0.627021 * Train accuracy / confusion: 77.50% / [[295, 48, 14], [63, 185, 22], [11, 22, 140]], * Val accuracy / confusion: 58.08% / [[158, 62, 10], [59, 92, 24], [22, 41, 52]] ------------------------------ Epoch 1332 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.538643 - Iter 024 / 025, Loss: 0.627504 * Train accuracy / confusion: 78.38% / [[299, 43, 12], [51, 191, 27], [9, 31, 137]], * Val accuracy / confusion: 54.81% / [[149, 61, 20], [63, 80, 32], [18, 41, 56]] ------------------------------ Epoch 1333 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.836837 - Iter 024 / 025, Loss: 0.331023 * Train accuracy / confusion: 76.12% / [[301, 43, 12], [61, 179, 28], [17, 30, 129]], * Val accuracy / confusion: 57.50% / [[158, 52, 20], [65, 88, 22], [21, 41, 53]] ------------------------------ Epoch 1334 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.661445 - Iter 024 / 025, Loss: 0.533881 * Train accuracy / confusion: 75.25% / [[292, 52, 10], [67, 177, 24], [13, 32, 133]], * Val accuracy / confusion: 55.96% / [[157, 59, 14], [65, 75, 35], [16, 40, 59]] ------------------------------ Epoch 1335 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.450841 - Iter 024 / 025, Loss: 0.517122 * Train accuracy / confusion: 77.75% / [[308, 41, 9], [54, 185, 30], [8, 36, 129]], * Val accuracy / confusion: 58.85% / [[153, 62, 15], [61, 98, 16], [24, 36, 55]] ------------------------------ Epoch 1336 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.405824 - Iter 024 / 025, Loss: 0.468926 * Train accuracy / confusion: 76.62% / [[293, 45, 13], [65, 186, 21], [9, 34, 134]], * Val accuracy / confusion: 57.69% / [[160, 49, 21], [63, 82, 30], [14, 43, 58]] ------------------------------ Epoch 1337 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.532988 - Iter 024 / 025, Loss: 0.576131 * Train accuracy / confusion: 74.12% / [[294, 50, 11], [66, 171, 30], [12, 38, 128]], * Val accuracy / confusion: 56.54% / [[153, 62, 15], [67, 87, 21], [21, 40, 54]] ------------------------------ Epoch 1338 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.461041 - Iter 024 / 025, Loss: 0.825383 * Train accuracy / confusion: 78.38% / [[302, 38, 11], [60, 189, 21], [8, 35, 136]], * Val accuracy / confusion: 56.54% / [[147, 58, 25], [61, 93, 21], [16, 45, 54]] ------------------------------ Epoch 1339 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.508742 - Iter 024 / 025, Loss: 0.506352 * Train accuracy / confusion: 75.88% / [[297, 45, 9], [69, 176, 24], [18, 28, 134]], * Val accuracy / confusion: 57.50% / [[160, 55, 15], [58, 84, 33], [18, 42, 55]] ------------------------------ Epoch 1340 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.495171 - Iter 024 / 025, Loss: 0.457228 * Train accuracy / confusion: 75.88% / [[290, 55, 12], [68, 178, 21], [12, 25, 139]], * Val accuracy / confusion: 58.08% / [[150, 60, 20], [51, 100, 24], [19, 44, 52]] ------------------------------ Epoch 1341 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.369446 - Iter 024 / 025, Loss: 0.544922 * Train accuracy / confusion: 75.50% / [[303, 46, 8], [80, 163, 25], [6, 31, 138]], * Val accuracy / confusion: 57.12% / [[156, 58, 16], [59, 92, 24], [18, 48, 49]] ------------------------------ Epoch 1342 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.634551 - Iter 024 / 025, Loss: 0.672917 * Train accuracy / confusion: 77.25% / [[295, 53, 6], [63, 188, 19], [13, 28, 135]], * Val accuracy / confusion: 55.77% / [[156, 56, 18], [56, 85, 34], [19, 47, 49]] ------------------------------ Epoch 1343 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.419381 - Iter 024 / 025, Loss: 0.425975 * Train accuracy / confusion: 75.88% / [[299, 47, 8], [67, 177, 21], [14, 36, 131]], * Val accuracy / confusion: 57.69% / [[158, 57, 15], [65, 86, 24], [12, 47, 56]] ------------------------------ Epoch 1344 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.458804 - Iter 024 / 025, Loss: 0.677847 * Train accuracy / confusion: 75.88% / [[303, 47, 10], [66, 177, 25], [11, 34, 127]], * Val accuracy / confusion: 57.31% / [[161, 48, 21], [63, 81, 31], [16, 43, 56]] ------------------------------ Epoch 1345 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.587189 - Iter 024 / 025, Loss: 0.380714 * Train accuracy / confusion: 75.12% / [[297, 44, 12], [65, 180, 23], [18, 37, 124]], * Val accuracy / confusion: 53.85% / [[141, 66, 23], [62, 86, 27], [13, 49, 53]] ------------------------------ Epoch 1346 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.343031 - Iter 024 / 025, Loss: 0.447950 * Train accuracy / confusion: 76.62% / [[298, 43, 14], [64, 184, 20], [13, 33, 131]], * Val accuracy / confusion: 57.50% / [[160, 56, 14], [63, 84, 28], [20, 40, 55]] ------------------------------ Epoch 1347 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.518307 - Iter 024 / 025, Loss: 0.762298 * Train accuracy / confusion: 79.88% / [[309, 41, 7], [54, 192, 23], [7, 29, 138]], * Val accuracy / confusion: 56.54% / [[163, 45, 22], [67, 77, 31], [19, 42, 54]] ------------------------------ Epoch 1348 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.430254 - Iter 024 / 025, Loss: 0.398364 * Train accuracy / confusion: 78.12% / [[305, 35, 14], [62, 180, 25], [14, 25, 140]], * Val accuracy / confusion: 56.92% / [[159, 57, 14], [63, 85, 27], [20, 43, 52]] ------------------------------ Epoch 1349 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.492256 - Iter 024 / 025, Loss: 0.359272 * Train accuracy / confusion: 75.75% / [[298, 49, 6], [61, 181, 27], [18, 33, 127]], * Val accuracy / confusion: 55.19% / [[157, 61, 12], [67, 81, 27], [12, 54, 49]] ------------------------------ Epoch 1350 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.553910 - Iter 024 / 025, Loss: 0.551597 * Train accuracy / confusion: 77.25% / [[296, 48, 13], [62, 186, 20], [11, 28, 136]], * Val accuracy / confusion: 54.62% / [[150, 59, 21], [64, 80, 31], [17, 44, 54]] ------------------------------ Epoch 1351 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.654632 - Iter 024 / 025, Loss: 0.419039 * Train accuracy / confusion: 75.00% / [[293, 49, 10], [74, 178, 18], [13, 36, 129]], * Val accuracy / confusion: 55.77% / [[154, 60, 16], [65, 87, 23], [21, 45, 49]] ------------------------------ Epoch 1352 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.501419 - Iter 024 / 025, Loss: 0.388051 * Train accuracy / confusion: 75.50% / [[294, 53, 12], [68, 180, 17], [18, 28, 130]], * Val accuracy / confusion: 56.92% / [[156, 55, 19], [63, 84, 28], [18, 41, 56]] ------------------------------ Epoch 1353 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.555640 - Iter 024 / 025, Loss: 0.477074 * Train accuracy / confusion: 75.88% / [[296, 44, 15], [60, 180, 27], [13, 34, 131]], * Val accuracy / confusion: 58.46% / [[150, 64, 16], [59, 94, 22], [16, 39, 60]] ------------------------------ Epoch 1354 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.580685 - Iter 024 / 025, Loss: 0.527027 * Train accuracy / confusion: 74.75% / [[290, 52, 12], [69, 177, 23], [9, 37, 131]], * Val accuracy / confusion: 56.15% / [[155, 60, 15], [66, 84, 25], [16, 46, 53]] ------------------------------ Epoch 1355 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.466851 - Iter 024 / 025, Loss: 0.704819 * Train accuracy / confusion: 76.38% / [[305, 45, 9], [66, 175, 27], [12, 30, 131]], * Val accuracy / confusion: 57.50% / [[158, 52, 20], [60, 88, 27], [14, 48, 53]] ------------------------------ Epoch 1356 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.574564 - Iter 024 / 025, Loss: 0.464224 * Train accuracy / confusion: 76.88% / [[296, 49, 9], [65, 182, 20], [12, 30, 137]], * Val accuracy / confusion: 58.46% / [[165, 48, 17], [70, 88, 17], [16, 48, 51]] ------------------------------ Epoch 1357 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.447366 - Iter 024 / 025, Loss: 0.332546 * Train accuracy / confusion: 77.88% / [[307, 36, 15], [63, 183, 22], [7, 34, 133]], * Val accuracy / confusion: 59.62% / [[163, 53, 14], [61, 91, 23], [19, 40, 56]] ------------------------------ Epoch 1358 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.584933 - Iter 024 / 025, Loss: 0.758918 * Train accuracy / confusion: 75.12% / [[293, 49, 16], [64, 180, 24], [14, 32, 128]], * Val accuracy / confusion: 57.69% / [[153, 53, 24], [60, 88, 27], [14, 42, 59]] ------------------------------ Epoch 1359 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.535618 - Iter 024 / 025, Loss: 0.566078 * Train accuracy / confusion: 77.88% / [[306, 48, 7], [56, 186, 27], [9, 30, 131]], * Val accuracy / confusion: 58.27% / [[163, 56, 11], [62, 82, 31], [19, 38, 58]] ------------------------------ Epoch 1360 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.517872 - Iter 024 / 025, Loss: 0.544701 * Train accuracy / confusion: 75.75% / [[297, 52, 9], [61, 173, 32], [13, 27, 136]], * Val accuracy / confusion: 58.46% / [[166, 44, 20], [74, 77, 24], [14, 40, 61]] ------------------------------ Epoch 1361 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.923677 - Iter 024 / 025, Loss: 0.690235 * Train accuracy / confusion: 76.00% / [[296, 52, 8], [71, 173, 22], [10, 29, 139]], * Val accuracy / confusion: 57.50% / [[153, 64, 13], [59, 88, 28], [18, 39, 58]] ------------------------------ Epoch 1362 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.372912 - Iter 024 / 025, Loss: 0.424994 * Train accuracy / confusion: 78.00% / [[300, 45, 9], [60, 184, 23], [15, 24, 140]], * Val accuracy / confusion: 58.08% / [[155, 55, 20], [61, 90, 24], [13, 45, 57]] ------------------------------ Epoch 1363 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.676201 - Iter 024 / 025, Loss: 0.737756 * Train accuracy / confusion: 74.12% / [[289, 51, 14], [67, 184, 19], [17, 39, 120]], * Val accuracy / confusion: 56.73% / [[161, 55, 14], [75, 83, 17], [14, 50, 51]] ------------------------------ Epoch 1364 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.541171 - Iter 024 / 025, Loss: 0.621076 * Train accuracy / confusion: 75.25% / [[297, 46, 12], [71, 170, 24], [16, 29, 135]], * Val accuracy / confusion: 57.50% / [[155, 59, 16], [62, 84, 29], [16, 39, 60]] ------------------------------ Epoch 1365 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.448692 - Iter 024 / 025, Loss: 0.425373 * Train accuracy / confusion: 76.88% / [[301, 42, 11], [69, 176, 25], [14, 24, 138]], * Val accuracy / confusion: 59.62% / [[160, 55, 15], [62, 90, 23], [14, 41, 60]] ------------------------------ Epoch 1366 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.682172 - Iter 024 / 025, Loss: 0.573994 * Train accuracy / confusion: 76.38% / [[307, 39, 7], [71, 173, 27], [9, 36, 131]], * Val accuracy / confusion: 58.27% / [[153, 64, 13], [57, 91, 27], [18, 38, 59]] ------------------------------ Epoch 1367 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.372090 - Iter 024 / 025, Loss: 0.476941 * Train accuracy / confusion: 76.50% / [[295, 51, 10], [66, 177, 23], [15, 23, 140]], * Val accuracy / confusion: 55.77% / [[142, 71, 17], [57, 90, 28], [19, 38, 58]] ------------------------------ Epoch 1368 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.581364 - Iter 024 / 025, Loss: 0.413245 * Train accuracy / confusion: 77.38% / [[301, 47, 9], [64, 184, 19], [13, 29, 134]], * Val accuracy / confusion: 54.42% / [[151, 58, 21], [66, 83, 26], [20, 46, 49]] ------------------------------ Epoch 1369 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.509923 - Iter 024 / 025, Loss: 0.481712 * Train accuracy / confusion: 77.00% / [[308, 47, 6], [65, 174, 27], [6, 33, 134]], * Val accuracy / confusion: 58.46% / [[162, 54, 14], [61, 87, 27], [16, 44, 55]] ------------------------------ Epoch 1370 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.689762 - Iter 024 / 025, Loss: 0.475166 * Train accuracy / confusion: 74.75% / [[289, 56, 11], [71, 179, 18], [10, 36, 130]], * Val accuracy / confusion: 57.69% / [[157, 55, 18], [63, 93, 19], [20, 45, 50]] ------------------------------ Epoch 1371 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.484735 - Iter 024 / 025, Loss: 0.358290 * Train accuracy / confusion: 75.75% / [[294, 47, 14], [62, 183, 21], [13, 37, 129]], * Val accuracy / confusion: 58.65% / [[154, 63, 13], [58, 94, 23], [17, 41, 57]] ------------------------------ Epoch 1372 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.444958 - Iter 024 / 025, Loss: 0.439315 * Train accuracy / confusion: 77.12% / [[300, 43, 11], [63, 184, 22], [7, 37, 133]], * Val accuracy / confusion: 53.65% / [[150, 61, 19], [66, 77, 32], [20, 43, 52]] ------------------------------ Epoch 1373 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.552495 - Iter 024 / 025, Loss: 0.636682 * Train accuracy / confusion: 76.50% / [[299, 47, 8], [64, 179, 22], [15, 32, 134]], * Val accuracy / confusion: 59.04% / [[159, 52, 19], [67, 89, 19], [14, 42, 59]] ------------------------------ Epoch 1374 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.470284 - Iter 024 / 025, Loss: 0.492738 * Train accuracy / confusion: 75.12% / [[301, 46, 10], [64, 173, 28], [22, 29, 127]], * Val accuracy / confusion: 55.00% / [[148, 64, 18], [62, 86, 27], [10, 53, 52]] ------------------------------ Epoch 1375 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.515523 - Iter 024 / 025, Loss: 0.754328 * Train accuracy / confusion: 76.12% / [[302, 50, 9], [60, 178, 30], [8, 34, 129]], * Val accuracy / confusion: 56.15% / [[149, 63, 18], [57, 92, 26], [15, 49, 51]] ------------------------------ Epoch 1376 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.572931 - Iter 024 / 025, Loss: 0.529383 * Train accuracy / confusion: 76.00% / [[304, 48, 8], [66, 175, 27], [13, 30, 129]], * Val accuracy / confusion: 56.92% / [[162, 54, 14], [66, 79, 30], [20, 40, 55]] ------------------------------ Epoch 1377 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.655526 - Iter 024 / 025, Loss: 0.300757 * Train accuracy / confusion: 75.12% / [[297, 58, 7], [65, 170, 28], [14, 27, 134]], * Val accuracy / confusion: 55.38% / [[147, 60, 23], [67, 83, 25], [17, 40, 58]] ------------------------------ Epoch 1378 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.757019 - Iter 024 / 025, Loss: 0.526597 * Train accuracy / confusion: 74.12% / [[285, 54, 14], [64, 177, 28], [10, 37, 131]], * Val accuracy / confusion: 57.31% / [[158, 54, 18], [61, 91, 23], [18, 48, 49]] ------------------------------ Epoch 1379 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.564934 - Iter 024 / 025, Loss: 0.550625 * Train accuracy / confusion: 74.62% / [[297, 44, 13], [77, 166, 26], [12, 31, 134]], * Val accuracy / confusion: 58.08% / [[149, 69, 12], [58, 91, 26], [17, 36, 62]] ------------------------------ Epoch 1380 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.511972 - Iter 024 / 025, Loss: 0.340544 * Train accuracy / confusion: 78.38% / [[302, 47, 7], [60, 186, 20], [10, 29, 139]], * Val accuracy / confusion: 58.08% / [[156, 59, 15], [58, 93, 24], [21, 41, 53]] ------------------------------ Epoch 1381 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.618310 - Iter 024 / 025, Loss: 0.558175 * Train accuracy / confusion: 78.00% / [[301, 48, 6], [60, 192, 18], [17, 27, 131]], * Val accuracy / confusion: 58.08% / [[159, 52, 19], [58, 89, 28], [19, 42, 54]] ------------------------------ Epoch 1382 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.490624 - Iter 024 / 025, Loss: 0.505450 * Train accuracy / confusion: 77.38% / [[299, 52, 7], [52, 190, 27], [9, 34, 130]], * Val accuracy / confusion: 54.42% / [[155, 64, 11], [70, 75, 30], [14, 48, 53]] ------------------------------ Epoch 1383 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.425749 - Iter 024 / 025, Loss: 0.464457 * Train accuracy / confusion: 78.50% / [[314, 35, 11], [62, 181, 21], [14, 29, 133]], * Val accuracy / confusion: 57.69% / [[157, 57, 16], [58, 91, 26], [21, 42, 52]] ------------------------------ Epoch 1384 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.605205 - Iter 024 / 025, Loss: 0.513916 * Train accuracy / confusion: 74.25% / [[295, 46, 15], [67, 176, 24], [11, 43, 123]], * Val accuracy / confusion: 56.92% / [[158, 55, 17], [56, 86, 33], [21, 42, 52]] ------------------------------ Epoch 1385 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.596204 - Iter 024 / 025, Loss: 0.698210 * Train accuracy / confusion: 77.38% / [[305, 46, 6], [61, 177, 26], [16, 26, 137]], * Val accuracy / confusion: 60.19% / [[156, 58, 16], [55, 103, 17], [18, 43, 54]] ------------------------------ Epoch 1386 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.573131 - Iter 024 / 025, Loss: 0.409400 * Train accuracy / confusion: 79.38% / [[305, 46, 10], [57, 190, 15], [8, 29, 140]], * Val accuracy / confusion: 55.00% / [[150, 62, 18], [62, 91, 22], [22, 48, 45]] ------------------------------ Epoch 1387 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.521289 - Iter 024 / 025, Loss: 0.640999 * Train accuracy / confusion: 78.25% / [[302, 37, 14], [65, 186, 21], [9, 28, 138]], * Val accuracy / confusion: 59.42% / [[158, 56, 16], [57, 96, 22], [15, 45, 55]] ------------------------------ Epoch 1388 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.438037 - Iter 024 / 025, Loss: 0.513128 * Train accuracy / confusion: 75.75% / [[298, 44, 13], [64, 181, 25], [19, 29, 127]], * Val accuracy / confusion: 58.46% / [[164, 55, 11], [64, 87, 24], [20, 42, 53]] ------------------------------ Epoch 1389 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.459226 - Iter 024 / 025, Loss: 0.472904 * Train accuracy / confusion: 75.38% / [[303, 40, 13], [61, 181, 26], [13, 44, 119]], * Val accuracy / confusion: 58.85% / [[153, 59, 18], [63, 91, 21], [18, 35, 62]] ------------------------------ Epoch 1390 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.389425 - Iter 024 / 025, Loss: 0.596228 * Train accuracy / confusion: 77.00% / [[287, 49, 18], [61, 193, 13], [12, 31, 136]], * Val accuracy / confusion: 58.08% / [[160, 49, 21], [59, 92, 24], [19, 46, 50]] ------------------------------ Epoch 1391 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.613517 - Iter 024 / 025, Loss: 0.564928 * Train accuracy / confusion: 76.88% / [[305, 39, 13], [61, 185, 22], [22, 28, 125]], * Val accuracy / confusion: 60.00% / [[168, 55, 7], [57, 95, 23], [14, 52, 49]] ------------------------------ Epoch 1392 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.748920 - Iter 024 / 025, Loss: 0.512447 * Train accuracy / confusion: 77.38% / [[300, 42, 12], [62, 180, 27], [12, 26, 139]], * Val accuracy / confusion: 54.81% / [[152, 63, 15], [67, 87, 21], [22, 47, 46]] ------------------------------ Epoch 1393 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.667560 - Iter 024 / 025, Loss: 0.463051 * Train accuracy / confusion: 79.00% / [[308, 47, 3], [60, 187, 18], [9, 31, 137]], * Val accuracy / confusion: 55.77% / [[152, 59, 19], [67, 83, 25], [18, 42, 55]] ------------------------------ Epoch 1394 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.482694 - Iter 024 / 025, Loss: 0.592911 * Train accuracy / confusion: 75.00% / [[304, 39, 10], [71, 175, 24], [15, 41, 121]], * Val accuracy / confusion: 53.85% / [[149, 56, 25], [68, 82, 25], [22, 44, 49]] ------------------------------ Epoch 1395 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.464855 - Iter 024 / 025, Loss: 0.444658 * Train accuracy / confusion: 76.00% / [[304, 41, 12], [60, 174, 32], [13, 34, 130]], * Val accuracy / confusion: 56.54% / [[152, 60, 18], [60, 86, 29], [12, 47, 56]] ------------------------------ Epoch 1396 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.896753 - Iter 024 / 025, Loss: 0.514175 * Train accuracy / confusion: 77.75% / [[305, 43, 10], [59, 184, 22], [15, 29, 133]], * Val accuracy / confusion: 60.00% / [[163, 52, 15], [60, 92, 23], [20, 38, 57]] ------------------------------ Epoch 1397 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.460997 - Iter 024 / 025, Loss: 0.449322 * Train accuracy / confusion: 78.62% / [[299, 52, 4], [50, 193, 26], [9, 30, 137]], * Val accuracy / confusion: 57.31% / [[155, 66, 9], [65, 90, 20], [22, 40, 53]] ------------------------------ Epoch 1398 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.525207 - Iter 024 / 025, Loss: 0.513962 * Train accuracy / confusion: 75.25% / [[300, 43, 10], [72, 172, 26], [10, 37, 130]], * Val accuracy / confusion: 59.04% / [[156, 62, 12], [58, 95, 22], [22, 37, 56]] ------------------------------ Epoch 1399 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.423035 - Iter 024 / 025, Loss: 0.417835 * Train accuracy / confusion: 76.12% / [[299, 43, 13], [70, 175, 24], [7, 34, 135]], * Val accuracy / confusion: 57.31% / [[164, 51, 15], [63, 91, 21], [17, 55, 43]] ------------------------------ Epoch 1400 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.742602 - Iter 024 / 025, Loss: 0.387460 * Train accuracy / confusion: 75.62% / [[299, 43, 10], [67, 183, 20], [14, 41, 123]], * Val accuracy / confusion: 56.35% / [[151, 65, 14], [59, 83, 33], [17, 39, 59]] ------------------------------ Epoch 1401 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.562574 - Iter 024 / 025, Loss: 0.541132 * Train accuracy / confusion: 75.12% / [[296, 50, 10], [64, 180, 20], [15, 40, 125]], * Val accuracy / confusion: 56.35% / [[154, 58, 18], [66, 85, 24], [16, 45, 54]] ------------------------------ Epoch 1402 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.659810 - Iter 024 / 025, Loss: 0.529237 * Train accuracy / confusion: 76.50% / [[306, 44, 9], [66, 178, 24], [16, 29, 128]], * Val accuracy / confusion: 60.38% / [[155, 59, 16], [49, 102, 24], [18, 40, 57]] ------------------------------ Epoch 1403 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.453847 - Iter 024 / 025, Loss: 0.378150 * Train accuracy / confusion: 74.62% / [[302, 45, 14], [70, 170, 27], [15, 32, 125]], * Val accuracy / confusion: 59.62% / [[164, 50, 16], [66, 92, 17], [18, 43, 54]] ------------------------------ Epoch 1404 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.778302 - Iter 024 / 025, Loss: 0.366950 * Train accuracy / confusion: 77.25% / [[300, 48, 7], [58, 186, 23], [14, 32, 132]], * Val accuracy / confusion: 57.88% / [[159, 55, 16], [69, 83, 23], [18, 38, 59]] ------------------------------ Epoch 1405 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.519029 - Iter 024 / 025, Loss: 0.327430 * Train accuracy / confusion: 78.25% / [[297, 55, 6], [60, 185, 17], [10, 26, 144]], * Val accuracy / confusion: 59.81% / [[169, 46, 15], [58, 85, 32], [19, 39, 57]] ------------------------------ Epoch 1406 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.536898 - Iter 024 / 025, Loss: 0.493989 * Train accuracy / confusion: 75.38% / [[293, 53, 6], [69, 174, 26], [12, 31, 136]], * Val accuracy / confusion: 57.69% / [[159, 55, 16], [63, 90, 22], [16, 48, 51]] ------------------------------ Epoch 1407 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.459828 - Iter 024 / 025, Loss: 0.455951 * Train accuracy / confusion: 76.75% / [[297, 47, 12], [58, 183, 27], [15, 27, 134]], * Val accuracy / confusion: 55.19% / [[158, 54, 18], [70, 80, 25], [17, 49, 49]] ------------------------------ Epoch 1408 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.450738 - Iter 024 / 025, Loss: 0.610277 * Train accuracy / confusion: 78.50% / [[308, 43, 8], [56, 182, 25], [8, 32, 138]], * Val accuracy / confusion: 60.00% / [[162, 51, 17], [68, 91, 16], [16, 40, 59]] ------------------------------ Epoch 1409 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.421279 - Iter 024 / 025, Loss: 0.752342 * Train accuracy / confusion: 75.12% / [[296, 50, 9], [73, 176, 19], [6, 42, 129]], * Val accuracy / confusion: 56.73% / [[153, 59, 18], [64, 83, 28], [15, 41, 59]] ------------------------------ Epoch 1410 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.548361 - Iter 024 / 025, Loss: 0.464610 * Train accuracy / confusion: 78.00% / [[307, 41, 6], [61, 187, 22], [14, 32, 130]], * Val accuracy / confusion: 57.31% / [[151, 62, 17], [55, 93, 27], [16, 45, 54]] ------------------------------ Epoch 1411 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.498848 - Iter 024 / 025, Loss: 0.594741 * Train accuracy / confusion: 76.25% / [[296, 49, 7], [67, 178, 26], [12, 29, 136]], * Val accuracy / confusion: 56.35% / [[157, 54, 19], [66, 80, 29], [16, 43, 56]] ------------------------------ Epoch 1412 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.367346 - Iter 024 / 025, Loss: 0.413786 * Train accuracy / confusion: 78.38% / [[306, 41, 11], [61, 190, 19], [15, 26, 131]], * Val accuracy / confusion: 60.19% / [[158, 61, 11], [56, 92, 27], [16, 36, 63]] ------------------------------ Epoch 1413 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.620095 - Iter 024 / 025, Loss: 0.604905 * Train accuracy / confusion: 75.38% / [[302, 49, 6], [72, 174, 21], [15, 34, 127]], * Val accuracy / confusion: 55.38% / [[147, 66, 17], [67, 85, 23], [21, 38, 56]] ------------------------------ Epoch 1414 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.542120 - Iter 024 / 025, Loss: 0.422993 * Train accuracy / confusion: 76.75% / [[294, 45, 12], [61, 190, 22], [18, 28, 130]], * Val accuracy / confusion: 58.08% / [[154, 61, 15], [60, 94, 21], [17, 44, 54]] ------------------------------ Epoch 1415 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.558203 - Iter 024 / 025, Loss: 0.537542 * Train accuracy / confusion: 76.38% / [[305, 43, 8], [56, 173, 38], [10, 34, 133]], * Val accuracy / confusion: 55.77% / [[154, 59, 17], [59, 91, 25], [18, 52, 45]] ------------------------------ Epoch 1416 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.612742 - Iter 024 / 025, Loss: 0.449096 * Train accuracy / confusion: 74.75% / [[294, 48, 17], [67, 177, 26], [12, 32, 127]], * Val accuracy / confusion: 58.85% / [[156, 55, 19], [52, 98, 25], [18, 45, 52]] ------------------------------ Epoch 1417 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.545390 - Iter 024 / 025, Loss: 0.415058 * Train accuracy / confusion: 74.25% / [[284, 49, 19], [68, 179, 26], [9, 35, 131]], * Val accuracy / confusion: 58.08% / [[153, 59, 18], [65, 89, 21], [17, 38, 60]] ------------------------------ Epoch 1418 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.730380 - Iter 024 / 025, Loss: 0.515088 * Train accuracy / confusion: 76.38% / [[290, 47, 17], [61, 189, 18], [17, 29, 132]], * Val accuracy / confusion: 58.46% / [[164, 56, 10], [64, 88, 23], [14, 49, 52]] ------------------------------ Epoch 1419 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.598737 - Iter 024 / 025, Loss: 0.593096 * Train accuracy / confusion: 76.62% / [[299, 42, 9], [65, 181, 25], [17, 29, 133]], * Val accuracy / confusion: 59.42% / [[164, 51, 15], [64, 89, 22], [16, 43, 56]] ------------------------------ Epoch 1420 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.446006 - Iter 024 / 025, Loss: 0.409135 * Train accuracy / confusion: 77.62% / [[294, 47, 10], [51, 195, 25], [16, 30, 132]], * Val accuracy / confusion: 58.08% / [[174, 42, 14], [74, 80, 21], [21, 46, 48]] ------------------------------ Epoch 1421 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.557830 - Iter 024 / 025, Loss: 0.513461 * Train accuracy / confusion: 79.25% / [[300, 45, 12], [58, 194, 17], [6, 28, 140]], * Val accuracy / confusion: 56.73% / [[157, 60, 13], [64, 90, 21], [20, 47, 48]] ------------------------------ Epoch 1422 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.428198 - Iter 024 / 025, Loss: 0.664846 * Train accuracy / confusion: 77.62% / [[296, 49, 9], [59, 189, 21], [12, 29, 136]], * Val accuracy / confusion: 56.15% / [[154, 57, 19], [73, 85, 17], [16, 46, 53]] ------------------------------ Epoch 1423 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.526930 - Iter 024 / 025, Loss: 0.483783 * Train accuracy / confusion: 77.25% / [[301, 47, 11], [62, 188, 17], [12, 33, 129]], * Val accuracy / confusion: 57.69% / [[155, 56, 19], [57, 88, 30], [14, 44, 57]] ------------------------------ Epoch 1424 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.367622 - Iter 024 / 025, Loss: 0.515493 * Train accuracy / confusion: 78.88% / [[309, 41, 9], [64, 186, 19], [11, 25, 136]], * Val accuracy / confusion: 56.73% / [[160, 50, 20], [65, 88, 22], [20, 48, 47]] ------------------------------ Epoch 1425 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.504312 - Iter 024 / 025, Loss: 0.481413 * Train accuracy / confusion: 74.00% / [[293, 54, 11], [64, 177, 27], [11, 41, 122]], * Val accuracy / confusion: 57.31% / [[149, 63, 18], [61, 91, 23], [15, 42, 58]] ------------------------------ Epoch 1426 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.567237 - Iter 024 / 025, Loss: 0.763754 * Train accuracy / confusion: 76.62% / [[293, 51, 11], [61, 180, 24], [12, 28, 140]], * Val accuracy / confusion: 60.00% / [[155, 58, 17], [56, 94, 25], [17, 35, 63]] ------------------------------ Epoch 1427 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.676122 - Iter 024 / 025, Loss: 0.665074 * Train accuracy / confusion: 77.88% / [[300, 43, 15], [59, 187, 22], [11, 27, 136]], * Val accuracy / confusion: 57.88% / [[163, 53, 14], [62, 83, 30], [16, 44, 55]] ------------------------------ Epoch 1428 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.448386 - Iter 024 / 025, Loss: 0.507000 * Train accuracy / confusion: 75.88% / [[292, 48, 16], [63, 183, 24], [11, 31, 132]], * Val accuracy / confusion: 59.81% / [[158, 57, 15], [55, 91, 29], [19, 34, 62]] ------------------------------ Epoch 1429 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.443537 - Iter 024 / 025, Loss: 0.445556 * Train accuracy / confusion: 77.00% / [[299, 52, 4], [62, 182, 26], [14, 26, 135]], * Val accuracy / confusion: 59.23% / [[161, 54, 15], [61, 89, 25], [19, 38, 58]] ------------------------------ Epoch 1430 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.515204 - Iter 024 / 025, Loss: 0.473926 * Train accuracy / confusion: 78.62% / [[310, 34, 13], [53, 190, 23], [11, 37, 129]], * Val accuracy / confusion: 54.81% / [[151, 65, 14], [66, 81, 28], [22, 40, 53]] ------------------------------ Epoch 1431 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.345636 - Iter 024 / 025, Loss: 0.528639 * Train accuracy / confusion: 79.12% / [[302, 46, 7], [51, 200, 19], [10, 34, 131]], * Val accuracy / confusion: 56.15% / [[156, 58, 16], [66, 87, 22], [22, 44, 49]] ------------------------------ Epoch 1432 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.415239 - Iter 024 / 025, Loss: 0.516623 * Train accuracy / confusion: 77.62% / [[302, 47, 10], [58, 183, 24], [12, 28, 136]], * Val accuracy / confusion: 57.69% / [[160, 58, 12], [61, 91, 23], [19, 47, 49]] ------------------------------ Epoch 1433 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.482827 - Iter 024 / 025, Loss: 0.382340 * Train accuracy / confusion: 77.12% / [[295, 49, 11], [58, 188, 24], [10, 31, 134]], * Val accuracy / confusion: 58.85% / [[156, 54, 20], [58, 91, 26], [15, 41, 59]] ------------------------------ Epoch 1434 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.490783 - Iter 024 / 025, Loss: 0.590299 * Train accuracy / confusion: 75.50% / [[293, 42, 20], [66, 177, 26], [11, 31, 134]], * Val accuracy / confusion: 57.50% / [[155, 54, 21], [56, 95, 24], [20, 46, 49]] ------------------------------ Epoch 1435 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.563324 - Iter 024 / 025, Loss: 0.524520 * Train accuracy / confusion: 74.50% / [[295, 48, 10], [68, 172, 29], [21, 28, 129]], * Val accuracy / confusion: 56.54% / [[152, 57, 21], [61, 88, 26], [23, 38, 54]] ------------------------------ Epoch 1436 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.942291 - Iter 024 / 025, Loss: 0.519933 * Train accuracy / confusion: 77.25% / [[301, 46, 13], [62, 182, 24], [12, 25, 135]], * Val accuracy / confusion: 56.92% / [[163, 51, 16], [67, 84, 24], [19, 47, 49]] ------------------------------ Epoch 1437 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.441321 - Iter 024 / 025, Loss: 0.621501 * Train accuracy / confusion: 75.12% / [[297, 50, 10], [59, 176, 29], [8, 43, 128]], * Val accuracy / confusion: 55.96% / [[155, 55, 20], [68, 83, 24], [18, 44, 53]] ------------------------------ Epoch 1438 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.604471 - Iter 024 / 025, Loss: 0.493460 * Train accuracy / confusion: 77.00% / [[312, 41, 8], [64, 175, 25], [13, 33, 129]], * Val accuracy / confusion: 59.04% / [[163, 57, 10], [68, 87, 20], [17, 41, 57]] ------------------------------ Epoch 1439 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.523719 - Iter 024 / 025, Loss: 0.542460 * Train accuracy / confusion: 74.38% / [[302, 47, 9], [67, 163, 36], [11, 35, 130]], * Val accuracy / confusion: 58.46% / [[164, 51, 15], [58, 83, 34], [16, 42, 57]] ------------------------------ Epoch 1440 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.978942 - Iter 024 / 025, Loss: 0.310939 * Train accuracy / confusion: 79.50% / [[308, 40, 10], [51, 194, 23], [12, 28, 134]], * Val accuracy / confusion: 57.69% / [[159, 56, 15], [61, 86, 28], [18, 42, 55]] ------------------------------ Epoch 1441 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.655374 - Iter 024 / 025, Loss: 0.475501 * Train accuracy / confusion: 77.88% / [[302, 39, 16], [62, 187, 20], [12, 28, 134]], * Val accuracy / confusion: 56.92% / [[153, 58, 19], [63, 86, 26], [20, 38, 57]] ------------------------------ Epoch 1442 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.503125 - Iter 024 / 025, Loss: 0.630262 * Train accuracy / confusion: 75.75% / [[295, 44, 14], [74, 175, 21], [14, 27, 136]], * Val accuracy / confusion: 57.69% / [[149, 70, 11], [60, 97, 18], [17, 44, 54]] ------------------------------ Epoch 1443 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.557038 - Iter 024 / 025, Loss: 0.550641 * Train accuracy / confusion: 77.88% / [[304, 39, 9], [61, 183, 24], [12, 32, 136]], * Val accuracy / confusion: 55.77% / [[152, 61, 17], [64, 88, 23], [16, 49, 50]] ------------------------------ Epoch 1444 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.581124 - Iter 024 / 025, Loss: 0.690586 * Train accuracy / confusion: 79.25% / [[304, 41, 11], [53, 192, 23], [11, 27, 138]], * Val accuracy / confusion: 60.58% / [[168, 45, 17], [55, 95, 25], [21, 42, 52]] ------------------------------ Epoch 1445 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.561675 - Iter 024 / 025, Loss: 0.657180 * Train accuracy / confusion: 75.25% / [[296, 49, 8], [66, 174, 29], [10, 36, 132]], * Val accuracy / confusion: 58.27% / [[156, 59, 15], [58, 92, 25], [18, 42, 55]] ------------------------------ Epoch 1446 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.585932 - Iter 024 / 025, Loss: 0.491349 * Train accuracy / confusion: 77.50% / [[299, 46, 10], [54, 188, 24], [13, 33, 133]], * Val accuracy / confusion: 60.00% / [[162, 55, 13], [58, 99, 18], [17, 47, 51]] ------------------------------ Epoch 1447 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.678862 - Iter 024 / 025, Loss: 0.426827 * Train accuracy / confusion: 75.12% / [[291, 53, 14], [53, 179, 32], [8, 39, 131]], * Val accuracy / confusion: 60.19% / [[158, 63, 9], [56, 100, 19], [15, 45, 55]] ------------------------------ Epoch 1448 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.542848 - Iter 024 / 025, Loss: 0.575146 * Train accuracy / confusion: 75.75% / [[294, 57, 9], [58, 180, 29], [10, 31, 132]], * Val accuracy / confusion: 58.85% / [[150, 61, 19], [66, 96, 13], [16, 39, 60]] ------------------------------ Epoch 1449 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.494572 - Iter 024 / 025, Loss: 0.486786 * Train accuracy / confusion: 76.38% / [[296, 54, 6], [67, 181, 21], [8, 33, 134]], * Val accuracy / confusion: 58.08% / [[162, 51, 17], [64, 87, 24], [19, 43, 53]] ------------------------------ Epoch 1450 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.410564 - Iter 024 / 025, Loss: 0.535984 * Train accuracy / confusion: 77.62% / [[301, 46, 10], [55, 189, 24], [10, 34, 131]], * Val accuracy / confusion: 60.77% / [[155, 62, 13], [53, 106, 16], [14, 46, 55]] ------------------------------ Epoch 1451 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.387018 - Iter 024 / 025, Loss: 0.665537 * Train accuracy / confusion: 77.50% / [[303, 45, 8], [66, 181, 21], [10, 30, 136]], * Val accuracy / confusion: 55.96% / [[163, 57, 10], [70, 80, 25], [19, 48, 48]] ------------------------------ Epoch 1452 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.607348 - Iter 024 / 025, Loss: 0.421323 * Train accuracy / confusion: 77.88% / [[307, 41, 12], [52, 194, 21], [10, 41, 122]], * Val accuracy / confusion: 59.04% / [[159, 52, 19], [57, 91, 27], [16, 42, 57]] ------------------------------ Epoch 1453 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.590898 - Iter 024 / 025, Loss: 0.573157 * Train accuracy / confusion: 74.50% / [[292, 58, 6], [68, 171, 31], [15, 26, 133]], * Val accuracy / confusion: 58.27% / [[150, 67, 13], [60, 91, 24], [16, 37, 62]] ------------------------------ Epoch 1454 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.686559 - Iter 024 / 025, Loss: 0.575719 * Train accuracy / confusion: 77.25% / [[300, 46, 11], [61, 184, 20], [11, 33, 134]], * Val accuracy / confusion: 55.77% / [[139, 72, 19], [61, 99, 15], [15, 48, 52]] ------------------------------ Epoch 1455 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.721802 - Iter 024 / 025, Loss: 0.587775 * Train accuracy / confusion: 77.62% / [[306, 37, 12], [58, 182, 26], [10, 36, 133]], * Val accuracy / confusion: 52.69% / [[146, 70, 14], [65, 79, 31], [19, 47, 49]] ------------------------------ Epoch 1456 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.480149 - Iter 024 / 025, Loss: 0.500976 * Train accuracy / confusion: 76.12% / [[304, 45, 12], [59, 182, 24], [18, 33, 123]], * Val accuracy / confusion: 57.69% / [[148, 65, 17], [58, 94, 23], [15, 42, 58]] ------------------------------ Epoch 1457 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.444970 - Iter 024 / 025, Loss: 0.402696 * Train accuracy / confusion: 79.12% / [[306, 40, 9], [57, 195, 19], [11, 31, 132]], * Val accuracy / confusion: 56.92% / [[156, 58, 16], [69, 84, 22], [14, 45, 56]] ------------------------------ Epoch 1458 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.575971 - Iter 024 / 025, Loss: 0.652692 * Train accuracy / confusion: 80.50% / [[315, 32, 9], [46, 194, 30], [14, 25, 135]], * Val accuracy / confusion: 56.15% / [[155, 49, 26], [63, 78, 34], [13, 43, 59]] ------------------------------ Epoch 1459 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.484648 - Iter 024 / 025, Loss: 0.524117 * Train accuracy / confusion: 77.62% / [[311, 41, 8], [66, 176, 22], [10, 32, 134]], * Val accuracy / confusion: 56.54% / [[148, 61, 21], [61, 96, 18], [18, 47, 50]] ------------------------------ Epoch 1460 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.435010 - Iter 024 / 025, Loss: 0.609764 * Train accuracy / confusion: 74.50% / [[298, 57, 7], [75, 171, 17], [13, 35, 127]], * Val accuracy / confusion: 56.73% / [[155, 61, 14], [62, 88, 25], [18, 45, 52]] ------------------------------ Epoch 1461 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.563378 - Iter 024 / 025, Loss: 0.479678 * Train accuracy / confusion: 76.12% / [[286, 58, 10], [58, 192, 20], [15, 30, 131]], * Val accuracy / confusion: 54.81% / [[146, 62, 22], [63, 88, 24], [17, 47, 51]] ------------------------------ Epoch 1462 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.595001 - Iter 024 / 025, Loss: 0.598859 * Train accuracy / confusion: 77.88% / [[302, 45, 11], [57, 188, 20], [13, 31, 133]], * Val accuracy / confusion: 56.54% / [[149, 63, 18], [61, 86, 28], [15, 41, 59]] ------------------------------ Epoch 1463 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.649503 - Iter 024 / 025, Loss: 0.429355 * Train accuracy / confusion: 74.75% / [[294, 51, 12], [63, 179, 28], [17, 31, 125]], * Val accuracy / confusion: 56.35% / [[153, 53, 24], [61, 90, 24], [16, 49, 50]] ------------------------------ Epoch 1464 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.617149 - Iter 024 / 025, Loss: 0.514356 * Train accuracy / confusion: 76.00% / [[296, 44, 11], [59, 183, 32], [17, 29, 129]], * Val accuracy / confusion: 58.08% / [[164, 51, 15], [62, 83, 30], [22, 38, 55]] ------------------------------ Epoch 1465 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.607017 - Iter 024 / 025, Loss: 0.464376 * Train accuracy / confusion: 74.50% / [[291, 53, 12], [73, 168, 27], [14, 25, 137]], * Val accuracy / confusion: 55.58% / [[152, 64, 14], [65, 84, 26], [16, 46, 53]] ------------------------------ Epoch 1466 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.558757 - Iter 024 / 025, Loss: 0.443264 * Train accuracy / confusion: 76.62% / [[297, 53, 8], [67, 182, 19], [10, 30, 134]], * Val accuracy / confusion: 61.54% / [[163, 53, 14], [54, 97, 24], [19, 36, 60]] ------------------------------ Epoch 1467 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.527142 - Iter 024 / 025, Loss: 0.371361 * Train accuracy / confusion: 76.38% / [[301, 44, 9], [60, 180, 28], [12, 36, 130]], * Val accuracy / confusion: 56.35% / [[157, 63, 10], [65, 86, 24], [20, 45, 50]] ------------------------------ Epoch 1468 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.397211 - Iter 024 / 025, Loss: 0.434939 * Train accuracy / confusion: 76.25% / [[294, 55, 9], [57, 184, 23], [12, 34, 132]], * Val accuracy / confusion: 55.77% / [[154, 63, 13], [65, 82, 28], [19, 42, 54]] ------------------------------ Epoch 1469 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.469089 - Iter 024 / 025, Loss: 0.405299 * Train accuracy / confusion: 77.50% / [[299, 47, 7], [59, 187, 25], [12, 30, 134]], * Val accuracy / confusion: 56.35% / [[150, 59, 21], [55, 90, 30], [19, 43, 53]] ------------------------------ Epoch 1470 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.575594 - Iter 024 / 025, Loss: 0.585528 * Train accuracy / confusion: 76.88% / [[291, 46, 17], [62, 187, 19], [13, 28, 137]], * Val accuracy / confusion: 57.31% / [[156, 59, 15], [63, 87, 25], [11, 49, 55]] ------------------------------ Epoch 1471 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.522808 - Iter 024 / 025, Loss: 0.531064 * Train accuracy / confusion: 75.62% / [[299, 49, 8], [66, 177, 24], [13, 35, 129]], * Val accuracy / confusion: 58.08% / [[155, 56, 19], [60, 93, 22], [16, 45, 54]] ------------------------------ Epoch 1472 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.315319 - Iter 024 / 025, Loss: 0.930061 * Train accuracy / confusion: 77.62% / [[301, 50, 9], [63, 184, 18], [8, 31, 136]], * Val accuracy / confusion: 57.69% / [[154, 57, 19], [57, 93, 25], [14, 48, 53]] ------------------------------ Epoch 1473 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.406076 - Iter 024 / 025, Loss: 0.695553 * Train accuracy / confusion: 79.12% / [[307, 39, 10], [57, 191, 20], [13, 28, 135]], * Val accuracy / confusion: 58.27% / [[156, 55, 19], [57, 98, 20], [19, 47, 49]] ------------------------------ Epoch 1474 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.546723 - Iter 024 / 025, Loss: 0.379768 * Train accuracy / confusion: 76.12% / [[297, 48, 14], [53, 192, 25], [13, 38, 120]], * Val accuracy / confusion: 56.92% / [[154, 67, 9], [63, 83, 29], [22, 34, 59]] ------------------------------ Epoch 1475 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.639834 - Iter 024 / 025, Loss: 0.639332 * Train accuracy / confusion: 74.88% / [[299, 45, 12], [65, 174, 31], [12, 36, 126]], * Val accuracy / confusion: 57.50% / [[154, 68, 8], [60, 91, 24], [17, 44, 54]] ------------------------------ Epoch 1476 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.434783 - Iter 024 / 025, Loss: 0.513319 * Train accuracy / confusion: 77.12% / [[299, 46, 8], [68, 181, 20], [11, 30, 137]], * Val accuracy / confusion: 58.85% / [[166, 50, 14], [63, 87, 25], [17, 45, 53]] ------------------------------ Epoch 1477 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.598952 - Iter 024 / 025, Loss: 0.580438 * Train accuracy / confusion: 78.88% / [[317, 33, 7], [63, 179, 23], [10, 33, 135]], * Val accuracy / confusion: 56.15% / [[161, 56, 13], [64, 78, 33], [17, 45, 53]] ------------------------------ Epoch 1478 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.447242 - Iter 024 / 025, Loss: 0.683419 * Train accuracy / confusion: 78.62% / [[300, 48, 7], [59, 189, 18], [7, 32, 140]], * Val accuracy / confusion: 55.00% / [[150, 64, 16], [65, 79, 31], [20, 38, 57]] ------------------------------ Epoch 1479 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.606267 - Iter 024 / 025, Loss: 0.471776 * Train accuracy / confusion: 75.75% / [[286, 54, 12], [63, 188, 17], [15, 33, 132]], * Val accuracy / confusion: 58.85% / [[154, 55, 21], [61, 96, 18], [16, 43, 56]] ------------------------------ Epoch 1480 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.427477 - Iter 024 / 025, Loss: 0.662645 * Train accuracy / confusion: 75.50% / [[305, 41, 15], [65, 170, 28], [12, 35, 129]], * Val accuracy / confusion: 59.62% / [[158, 57, 15], [58, 92, 25], [14, 41, 60]] ------------------------------ Epoch 1481 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.548584 - Iter 024 / 025, Loss: 0.462211 * Train accuracy / confusion: 76.38% / [[297, 47, 12], [70, 178, 22], [8, 30, 136]], * Val accuracy / confusion: 60.19% / [[164, 48, 18], [64, 87, 24], [18, 35, 62]] ------------------------------ Epoch 1482 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.519927 - Iter 024 / 025, Loss: 0.569896 * Train accuracy / confusion: 76.62% / [[291, 49, 11], [67, 189, 18], [15, 27, 133]], * Val accuracy / confusion: 57.12% / [[151, 60, 19], [59, 94, 22], [18, 45, 52]] ------------------------------ Epoch 1483 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.386333 - Iter 024 / 025, Loss: 0.815209 * Train accuracy / confusion: 78.12% / [[304, 46, 3], [66, 186, 20], [10, 30, 135]], * Val accuracy / confusion: 58.27% / [[153, 60, 17], [60, 94, 21], [16, 43, 56]] ------------------------------ Epoch 1484 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.448759 - Iter 024 / 025, Loss: 0.379058 * Train accuracy / confusion: 76.38% / [[298, 47, 13], [61, 184, 20], [18, 30, 129]], * Val accuracy / confusion: 56.73% / [[162, 50, 18], [67, 78, 30], [20, 40, 55]] ------------------------------ Epoch 1485 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.475773 - Iter 024 / 025, Loss: 0.411020 * Train accuracy / confusion: 76.25% / [[299, 47, 10], [61, 178, 27], [14, 31, 133]], * Val accuracy / confusion: 60.58% / [[163, 52, 15], [60, 92, 23], [15, 40, 60]] ------------------------------ Epoch 1486 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.451715 - Iter 024 / 025, Loss: 0.853811 * Train accuracy / confusion: 76.88% / [[298, 50, 8], [58, 188, 21], [9, 39, 129]], * Val accuracy / confusion: 56.15% / [[157, 58, 15], [61, 84, 30], [25, 39, 51]] ------------------------------ Epoch 1487 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.454101 - Iter 024 / 025, Loss: 0.327149 * Train accuracy / confusion: 77.25% / [[307, 40, 14], [60, 185, 22], [11, 35, 126]], * Val accuracy / confusion: 57.69% / [[154, 60, 16], [57, 101, 17], [19, 51, 45]] ------------------------------ Epoch 1488 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.569644 - Iter 024 / 025, Loss: 0.497915 * Train accuracy / confusion: 77.75% / [[303, 40, 10], [64, 183, 22], [17, 25, 136]], * Val accuracy / confusion: 58.85% / [[167, 47, 16], [59, 89, 27], [19, 46, 50]] ------------------------------ Epoch 1489 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.473759 - Iter 024 / 025, Loss: 0.380020 * Train accuracy / confusion: 79.62% / [[311, 43, 4], [64, 183, 21], [6, 25, 143]], * Val accuracy / confusion: 57.12% / [[156, 52, 22], [60, 87, 28], [19, 42, 54]] ------------------------------ Epoch 1490 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.475622 - Iter 024 / 025, Loss: 0.404672 * Train accuracy / confusion: 77.12% / [[307, 33, 9], [65, 188, 20], [14, 42, 122]], * Val accuracy / confusion: 58.08% / [[155, 53, 22], [61, 93, 21], [19, 42, 54]] ------------------------------ Epoch 1491 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.505419 - Iter 024 / 025, Loss: 0.366858 * Train accuracy / confusion: 77.12% / [[311, 34, 9], [77, 172, 20], [15, 28, 134]], * Val accuracy / confusion: 57.88% / [[157, 53, 20], [63, 86, 26], [18, 39, 58]] ------------------------------ Epoch 1492 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.625518 - Iter 024 / 025, Loss: 0.456642 * Train accuracy / confusion: 75.88% / [[296, 50, 10], [58, 184, 25], [11, 39, 127]], * Val accuracy / confusion: 58.85% / [[164, 54, 12], [72, 88, 15], [19, 42, 54]] ------------------------------ Epoch 1493 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.558069 - Iter 024 / 025, Loss: 0.525488 * Train accuracy / confusion: 77.50% / [[303, 48, 7], [61, 185, 18], [15, 31, 132]], * Val accuracy / confusion: 57.88% / [[157, 60, 13], [67, 84, 24], [16, 39, 60]] ------------------------------ Epoch 1494 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.477521 - Iter 024 / 025, Loss: 0.625742 * Train accuracy / confusion: 74.25% / [[287, 58, 10], [64, 177, 25], [19, 30, 130]], * Val accuracy / confusion: 58.65% / [[157, 53, 20], [62, 91, 22], [17, 41, 57]] ------------------------------ Epoch 1495 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.534785 - Iter 024 / 025, Loss: 0.464394 * Train accuracy / confusion: 76.62% / [[299, 49, 9], [64, 182, 20], [16, 29, 132]], * Val accuracy / confusion: 58.08% / [[161, 51, 18], [68, 83, 24], [17, 40, 58]] ------------------------------ Epoch 1496 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.596310 - Iter 024 / 025, Loss: 0.310381 * Train accuracy / confusion: 76.62% / [[299, 49, 8], [63, 181, 24], [13, 30, 133]], * Val accuracy / confusion: 57.50% / [[159, 58, 13], [69, 85, 21], [12, 48, 55]] ------------------------------ Epoch 1497 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.518493 - Iter 024 / 025, Loss: 0.519861 * Train accuracy / confusion: 78.00% / [[302, 47, 7], [54, 191, 21], [11, 36, 131]], * Val accuracy / confusion: 60.00% / [[164, 56, 10], [61, 91, 23], [20, 38, 57]] ------------------------------ Epoch 1498 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.481799 - Iter 024 / 025, Loss: 0.408038 * Train accuracy / confusion: 78.88% / [[307, 46, 5], [57, 189, 18], [14, 29, 135]], * Val accuracy / confusion: 57.12% / [[159, 52, 19], [59, 86, 30], [21, 42, 52]] ------------------------------ Epoch 1499 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.420969 - Iter 024 / 025, Loss: 0.698967 * Train accuracy / confusion: 76.12% / [[299, 44, 12], [69, 179, 23], [16, 27, 131]], * Val accuracy / confusion: 56.92% / [[157, 59, 14], [68, 84, 23], [21, 39, 55]] ------------------------------ Epoch 1500 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.653886 - Iter 024 / 025, Loss: 0.544440 * Train accuracy / confusion: 75.62% / [[298, 44, 8], [61, 181, 29], [21, 32, 126]], * Val accuracy / confusion: 56.73% / [[153, 64, 13], [58, 88, 29], [18, 43, 54]] ------------------------------ Epoch 1501 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.605424 - Iter 024 / 025, Loss: 0.334107 * Train accuracy / confusion: 77.75% / [[301, 43, 14], [56, 183, 27], [6, 32, 138]], * Val accuracy / confusion: 57.31% / [[154, 58, 18], [61, 95, 19], [19, 47, 49]] ------------------------------ Epoch 1502 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.606148 - Iter 024 / 025, Loss: 0.459447 * Train accuracy / confusion: 75.25% / [[292, 51, 11], [70, 173, 27], [15, 24, 137]], * Val accuracy / confusion: 56.35% / [[157, 58, 15], [61, 82, 32], [13, 48, 54]] ------------------------------ Epoch 1503 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.644637 - Iter 024 / 025, Loss: 0.677671 * Train accuracy / confusion: 75.12% / [[300, 46, 9], [59, 184, 28], [18, 39, 117]], * Val accuracy / confusion: 59.04% / [[156, 57, 17], [59, 91, 25], [16, 39, 60]] ------------------------------ Epoch 1504 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.414154 - Iter 024 / 025, Loss: 0.634749 * Train accuracy / confusion: 76.12% / [[301, 46, 13], [60, 187, 22], [15, 35, 121]], * Val accuracy / confusion: 59.42% / [[150, 70, 10], [53, 102, 20], [17, 41, 57]] ------------------------------ Epoch 1505 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.649089 - Iter 024 / 025, Loss: 0.682215 * Train accuracy / confusion: 77.00% / [[298, 44, 12], [66, 187, 19], [12, 31, 131]], * Val accuracy / confusion: 56.73% / [[153, 55, 22], [70, 83, 22], [20, 36, 59]] ------------------------------ Epoch 1506 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.572711 - Iter 024 / 025, Loss: 0.543234 * Train accuracy / confusion: 75.25% / [[297, 42, 10], [69, 174, 29], [12, 36, 131]], * Val accuracy / confusion: 58.46% / [[156, 56, 18], [49, 95, 31], [17, 45, 53]] ------------------------------ Epoch 1507 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.635068 - Iter 024 / 025, Loss: 0.532701 * Train accuracy / confusion: 78.88% / [[304, 40, 11], [66, 180, 21], [9, 22, 147]], * Val accuracy / confusion: 55.19% / [[155, 57, 18], [65, 78, 32], [16, 45, 54]] ------------------------------ Epoch 1508 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.635882 - Iter 024 / 025, Loss: 0.396800 * Train accuracy / confusion: 75.75% / [[300, 54, 7], [66, 175, 25], [10, 32, 131]], * Val accuracy / confusion: 57.88% / [[158, 56, 16], [63, 88, 24], [17, 43, 55]] ------------------------------ Epoch 1509 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.410175 - Iter 024 / 025, Loss: 0.476260 * Train accuracy / confusion: 76.38% / [[302, 43, 13], [69, 174, 24], [7, 33, 135]], * Val accuracy / confusion: 55.96% / [[146, 66, 18], [58, 87, 30], [16, 41, 58]] ------------------------------ Epoch 1510 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.492244 - Iter 024 / 025, Loss: 0.588366 * Train accuracy / confusion: 76.38% / [[292, 47, 14], [66, 180, 22], [14, 26, 139]], * Val accuracy / confusion: 56.73% / [[152, 57, 21], [60, 86, 29], [18, 40, 57]] ------------------------------ Epoch 1511 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.803964 - Iter 024 / 025, Loss: 0.417490 * Train accuracy / confusion: 79.00% / [[305, 46, 7], [53, 191, 19], [16, 27, 136]], * Val accuracy / confusion: 56.73% / [[151, 66, 13], [62, 86, 27], [19, 38, 58]] ------------------------------ Epoch 1512 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.528755 - Iter 024 / 025, Loss: 0.634883 * Train accuracy / confusion: 76.62% / [[297, 53, 9], [61, 181, 26], [10, 28, 135]], * Val accuracy / confusion: 58.46% / [[163, 50, 17], [67, 85, 23], [18, 41, 56]] ------------------------------ Epoch 1513 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.612570 - Iter 024 / 025, Loss: 0.563012 * Train accuracy / confusion: 74.62% / [[291, 53, 10], [66, 182, 24], [13, 37, 124]], * Val accuracy / confusion: 54.81% / [[148, 61, 21], [70, 82, 23], [17, 43, 55]] ------------------------------ Epoch 1514 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.537584 - Iter 024 / 025, Loss: 0.464822 * Train accuracy / confusion: 77.00% / [[295, 52, 10], [58, 183, 22], [13, 29, 138]], * Val accuracy / confusion: 58.65% / [[155, 58, 17], [60, 85, 30], [10, 40, 65]] ------------------------------ Epoch 1515 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.424202 - Iter 024 / 025, Loss: 0.755589 * Train accuracy / confusion: 76.88% / [[297, 45, 15], [61, 181, 25], [10, 29, 137]], * Val accuracy / confusion: 58.65% / [[150, 60, 20], [60, 92, 23], [14, 38, 63]] ------------------------------ Epoch 1516 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.855661 - Iter 024 / 025, Loss: 0.646802 * Train accuracy / confusion: 76.12% / [[300, 45, 11], [70, 174, 19], [17, 29, 135]], * Val accuracy / confusion: 57.31% / [[157, 63, 10], [66, 93, 16], [20, 47, 48]] ------------------------------ Epoch 1517 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.418677 - Iter 024 / 025, Loss: 0.652204 * Train accuracy / confusion: 75.50% / [[301, 45, 11], [74, 170, 27], [9, 30, 133]], * Val accuracy / confusion: 58.08% / [[159, 59, 12], [62, 92, 21], [16, 48, 51]] ------------------------------ Epoch 1518 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.396663 - Iter 024 / 025, Loss: 0.469853 * Train accuracy / confusion: 76.75% / [[303, 43, 9], [68, 176, 23], [15, 28, 135]], * Val accuracy / confusion: 58.46% / [[154, 57, 19], [62, 89, 24], [22, 32, 61]] ------------------------------ Epoch 1519 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.399374 - Iter 024 / 025, Loss: 0.568880 * Train accuracy / confusion: 77.62% / [[301, 50, 7], [69, 181, 18], [7, 28, 139]], * Val accuracy / confusion: 57.31% / [[149, 66, 15], [58, 93, 24], [15, 44, 56]] ------------------------------ Epoch 1520 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.657663 - Iter 024 / 025, Loss: 0.446448 * Train accuracy / confusion: 76.62% / [[300, 43, 11], [63, 180, 24], [11, 35, 133]], * Val accuracy / confusion: 54.04% / [[148, 64, 18], [63, 86, 26], [19, 49, 47]] ------------------------------ Epoch 1521 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.436107 - Iter 024 / 025, Loss: 0.697610 * Train accuracy / confusion: 78.38% / [[307, 43, 9], [57, 183, 28], [8, 28, 137]], * Val accuracy / confusion: 56.15% / [[150, 62, 18], [58, 82, 35], [17, 38, 60]] ------------------------------ Epoch 1522 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.576912 - Iter 024 / 025, Loss: 0.442130 * Train accuracy / confusion: 75.75% / [[300, 49, 10], [63, 171, 29], [17, 26, 135]], * Val accuracy / confusion: 59.04% / [[158, 56, 16], [57, 94, 24], [15, 45, 55]] ------------------------------ Epoch 1523 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.511333 - Iter 024 / 025, Loss: 0.629713 * Train accuracy / confusion: 76.50% / [[295, 49, 11], [67, 185, 18], [11, 32, 132]], * Val accuracy / confusion: 59.42% / [[159, 53, 18], [60, 90, 25], [19, 36, 60]] ------------------------------ Epoch 1524 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.464962 - Iter 024 / 025, Loss: 0.431321 * Train accuracy / confusion: 79.12% / [[307, 33, 11], [53, 197, 22], [17, 31, 129]], * Val accuracy / confusion: 58.46% / [[163, 46, 21], [69, 84, 22], [17, 41, 57]] ------------------------------ Epoch 1525 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.555754 - Iter 024 / 025, Loss: 0.440016 * Train accuracy / confusion: 78.00% / [[303, 43, 10], [63, 182, 22], [13, 25, 139]], * Val accuracy / confusion: 58.08% / [[160, 61, 9], [62, 88, 25], [20, 41, 54]] ------------------------------ Epoch 1526 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.532764 - Iter 024 / 025, Loss: 0.585942 * Train accuracy / confusion: 76.88% / [[308, 34, 14], [67, 177, 22], [15, 33, 130]], * Val accuracy / confusion: 58.08% / [[157, 57, 16], [63, 93, 19], [20, 43, 52]] ------------------------------ Epoch 1527 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.507822 - Iter 024 / 025, Loss: 0.416400 * Train accuracy / confusion: 77.62% / [[306, 42, 10], [60, 183, 23], [10, 34, 132]], * Val accuracy / confusion: 60.19% / [[169, 48, 13], [66, 84, 25], [15, 40, 60]] ------------------------------ Epoch 1528 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.462919 - Iter 024 / 025, Loss: 0.586570 * Train accuracy / confusion: 77.00% / [[307, 41, 8], [66, 180, 21], [20, 28, 129]], * Val accuracy / confusion: 57.69% / [[161, 57, 12], [62, 91, 22], [18, 49, 48]] ------------------------------ Epoch 1529 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.559116 - Iter 024 / 025, Loss: 0.691790 * Train accuracy / confusion: 78.25% / [[310, 39, 10], [62, 181, 23], [12, 28, 135]], * Val accuracy / confusion: 58.27% / [[158, 58, 14], [65, 89, 21], [19, 40, 56]] ------------------------------ Epoch 1530 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.469053 - Iter 024 / 025, Loss: 0.657503 * Train accuracy / confusion: 74.12% / [[294, 48, 15], [68, 174, 23], [21, 32, 125]], * Val accuracy / confusion: 60.96% / [[160, 55, 15], [56, 97, 22], [16, 39, 60]] ------------------------------ Epoch 1531 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.418844 - Iter 024 / 025, Loss: 0.599826 * Train accuracy / confusion: 77.88% / [[303, 43, 7], [63, 185, 25], [11, 28, 135]], * Val accuracy / confusion: 58.85% / [[158, 61, 11], [55, 95, 25], [13, 49, 53]] ------------------------------ Epoch 1532 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.420576 - Iter 024 / 025, Loss: 0.462137 * Train accuracy / confusion: 75.12% / [[287, 55, 11], [75, 177, 16], [13, 29, 137]], * Val accuracy / confusion: 58.85% / [[155, 59, 16], [58, 89, 28], [17, 36, 62]] ------------------------------ Epoch 1533 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.570156 - Iter 024 / 025, Loss: 0.746926 * Train accuracy / confusion: 75.00% / [[304, 39, 12], [73, 167, 29], [13, 34, 129]], * Val accuracy / confusion: 57.31% / [[160, 49, 21], [65, 82, 28], [17, 42, 56]] ------------------------------ Epoch 1534 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.416955 - Iter 024 / 025, Loss: 0.573737 * Train accuracy / confusion: 77.62% / [[298, 47, 10], [54, 183, 28], [11, 29, 140]], * Val accuracy / confusion: 58.65% / [[162, 60, 8], [62, 94, 19], [17, 49, 49]] ------------------------------ Epoch 1535 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.546424 - Iter 024 / 025, Loss: 0.776893 * Train accuracy / confusion: 78.00% / [[303, 42, 10], [64, 184, 22], [6, 32, 137]], * Val accuracy / confusion: 56.54% / [[163, 50, 17], [58, 85, 32], [21, 48, 46]] ------------------------------ Epoch 1536 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.555184 - Iter 024 / 025, Loss: 0.436591 * Train accuracy / confusion: 78.38% / [[299, 48, 11], [58, 189, 20], [11, 25, 139]], * Val accuracy / confusion: 58.65% / [[157, 60, 13], [56, 93, 26], [17, 43, 55]] ------------------------------ Epoch 1537 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.609909 - Iter 024 / 025, Loss: 0.693225 * Train accuracy / confusion: 73.62% / [[291, 52, 15], [72, 168, 26], [13, 33, 130]], * Val accuracy / confusion: 58.08% / [[146, 64, 20], [67, 93, 15], [13, 39, 63]] ------------------------------ Epoch 1538 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.550117 - Iter 024 / 025, Loss: 0.492016 * Train accuracy / confusion: 79.62% / [[296, 53, 8], [53, 197, 17], [7, 25, 144]], * Val accuracy / confusion: 59.62% / [[161, 55, 14], [58, 96, 21], [17, 45, 53]] ------------------------------ Epoch 1539 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.652908 - Iter 024 / 025, Loss: 0.454559 * Train accuracy / confusion: 74.75% / [[297, 44, 11], [74, 175, 22], [16, 35, 126]], * Val accuracy / confusion: 57.31% / [[157, 58, 15], [68, 85, 22], [22, 37, 56]] ------------------------------ Epoch 1540 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.414144 - Iter 024 / 025, Loss: 0.743150 * Train accuracy / confusion: 76.62% / [[298, 53, 3], [61, 184, 22], [19, 29, 131]], * Val accuracy / confusion: 57.88% / [[157, 54, 19], [63, 88, 24], [19, 40, 56]] ------------------------------ Epoch 1541 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 1.141881 - Iter 024 / 025, Loss: 0.561886 * Train accuracy / confusion: 75.75% / [[301, 42, 14], [66, 174, 28], [13, 31, 131]], * Val accuracy / confusion: 56.54% / [[156, 57, 17], [63, 85, 27], [19, 43, 53]] ------------------------------ Epoch 1542 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.763911 - Iter 024 / 025, Loss: 0.737739 * Train accuracy / confusion: 77.12% / [[299, 45, 11], [64, 183, 19], [15, 29, 135]], * Val accuracy / confusion: 60.19% / [[163, 49, 18], [61, 93, 21], [13, 45, 57]] ------------------------------ Epoch 1543 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.553075 - Iter 024 / 025, Loss: 0.320251 * Train accuracy / confusion: 75.62% / [[287, 57, 10], [62, 186, 26], [13, 27, 132]], * Val accuracy / confusion: 58.46% / [[157, 53, 20], [78, 87, 10], [20, 35, 60]] ------------------------------ Epoch 1544 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.473206 - Iter 024 / 025, Loss: 0.486330 * Train accuracy / confusion: 78.38% / [[305, 40, 9], [65, 183, 19], [13, 27, 139]], * Val accuracy / confusion: 58.27% / [[158, 59, 13], [57, 89, 29], [14, 45, 56]] ------------------------------ Epoch 1545 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.358046 - Iter 024 / 025, Loss: 0.453195 * Train accuracy / confusion: 75.88% / [[300, 44, 11], [64, 178, 24], [13, 37, 129]], * Val accuracy / confusion: 58.08% / [[160, 55, 15], [67, 83, 25], [14, 42, 59]] ------------------------------ Epoch 1546 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.701505 - Iter 024 / 025, Loss: 0.424304 * Train accuracy / confusion: 78.88% / [[318, 34, 8], [61, 181, 20], [11, 35, 132]], * Val accuracy / confusion: 56.35% / [[151, 64, 15], [55, 90, 30], [16, 47, 52]] ------------------------------ Epoch 1547 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.522653 - Iter 024 / 025, Loss: 0.443454 * Train accuracy / confusion: 78.00% / [[303, 42, 13], [64, 188, 20], [12, 25, 133]], * Val accuracy / confusion: 58.85% / [[162, 56, 12], [65, 90, 20], [19, 42, 54]] ------------------------------ Epoch 1548 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.588047 - Iter 024 / 025, Loss: 0.378270 * Train accuracy / confusion: 78.88% / [[302, 47, 8], [57, 192, 18], [11, 28, 137]], * Val accuracy / confusion: 56.73% / [[161, 55, 14], [69, 77, 29], [19, 39, 57]] ------------------------------ Epoch 1549 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.910925 - Iter 024 / 025, Loss: 0.763195 * Train accuracy / confusion: 76.38% / [[298, 50, 7], [69, 180, 17], [7, 39, 133]], * Val accuracy / confusion: 56.92% / [[162, 56, 12], [66, 83, 26], [17, 47, 51]] ------------------------------ Epoch 1550 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.698740 - Iter 024 / 025, Loss: 0.433132 * Train accuracy / confusion: 76.25% / [[300, 56, 5], [64, 181, 21], [16, 28, 129]], * Val accuracy / confusion: 58.27% / [[157, 57, 16], [71, 85, 19], [18, 36, 61]] ------------------------------ Epoch 1551 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.390029 - Iter 024 / 025, Loss: 0.589469 * Train accuracy / confusion: 77.00% / [[300, 40, 14], [68, 178, 27], [11, 24, 138]], * Val accuracy / confusion: 57.69% / [[164, 51, 15], [67, 85, 23], [20, 44, 51]] ------------------------------ Epoch 1552 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.622485 - Iter 024 / 025, Loss: 0.436973 * Train accuracy / confusion: 75.50% / [[285, 56, 10], [63, 186, 24], [15, 28, 133]], * Val accuracy / confusion: 58.85% / [[158, 55, 17], [65, 93, 17], [23, 37, 55]] ------------------------------ Epoch 1553 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.487519 - Iter 024 / 025, Loss: 0.469203 * Train accuracy / confusion: 75.12% / [[291, 55, 10], [72, 170, 21], [12, 29, 140]], * Val accuracy / confusion: 59.81% / [[166, 55, 9], [65, 91, 19], [14, 47, 54]] ------------------------------ Epoch 1554 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.601899 - Iter 024 / 025, Loss: 0.565898 * Train accuracy / confusion: 77.88% / [[303, 41, 13], [63, 178, 23], [7, 30, 142]], * Val accuracy / confusion: 58.85% / [[158, 53, 19], [62, 85, 28], [13, 39, 63]] ------------------------------ Epoch 1555 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.461937 - Iter 024 / 025, Loss: 0.598924 * Train accuracy / confusion: 77.38% / [[296, 45, 16], [60, 192, 21], [7, 32, 131]], * Val accuracy / confusion: 57.88% / [[162, 47, 21], [63, 86, 26], [15, 47, 53]] ------------------------------ Epoch 1556 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.456064 - Iter 024 / 025, Loss: 0.406978 * Train accuracy / confusion: 78.00% / [[306, 48, 8], [49, 191, 24], [13, 34, 127]], * Val accuracy / confusion: 56.92% / [[156, 56, 18], [62, 89, 24], [17, 47, 51]] ------------------------------ Epoch 1557 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.552783 - Iter 024 / 025, Loss: 0.784658 * Train accuracy / confusion: 75.12% / [[294, 45, 14], [61, 184, 24], [13, 42, 123]], * Val accuracy / confusion: 58.27% / [[154, 58, 18], [59, 94, 22], [15, 45, 55]] ------------------------------ Epoch 1558 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.431059 - Iter 024 / 025, Loss: 0.662725 * Train accuracy / confusion: 76.25% / [[302, 44, 9], [64, 184, 19], [16, 38, 124]], * Val accuracy / confusion: 59.23% / [[168, 52, 10], [65, 90, 20], [20, 45, 50]] ------------------------------ Epoch 1559 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.629136 - Iter 024 / 025, Loss: 0.462584 * Train accuracy / confusion: 74.62% / [[306, 41, 11], [75, 170, 20], [18, 38, 121]], * Val accuracy / confusion: 54.42% / [[150, 60, 20], [65, 86, 24], [16, 52, 47]] ------------------------------ Epoch 1560 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.503280 - Iter 024 / 025, Loss: 0.515539 * Train accuracy / confusion: 73.88% / [[295, 49, 12], [59, 177, 28], [18, 43, 119]], * Val accuracy / confusion: 57.50% / [[154, 60, 16], [62, 87, 26], [23, 34, 58]] ------------------------------ Epoch 1561 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.559627 - Iter 024 / 025, Loss: 0.370130 * Train accuracy / confusion: 78.50% / [[311, 39, 6], [61, 186, 23], [11, 32, 131]], * Val accuracy / confusion: 56.54% / [[154, 61, 15], [62, 85, 28], [22, 38, 55]] ------------------------------ Epoch 1562 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.538278 - Iter 024 / 025, Loss: 0.598442 * Train accuracy / confusion: 74.50% / [[300, 49, 10], [67, 164, 38], [11, 29, 132]], * Val accuracy / confusion: 58.27% / [[153, 57, 20], [58, 93, 24], [16, 42, 57]] ------------------------------ Epoch 1563 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.582140 - Iter 024 / 025, Loss: 0.547190 * Train accuracy / confusion: 76.25% / [[291, 53, 14], [65, 181, 24], [11, 23, 138]], * Val accuracy / confusion: 55.38% / [[157, 53, 20], [65, 85, 25], [18, 51, 46]] ------------------------------ Epoch 1564 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.568039 - Iter 024 / 025, Loss: 0.698696 * Train accuracy / confusion: 76.88% / [[297, 49, 11], [63, 184, 22], [8, 32, 134]], * Val accuracy / confusion: 57.31% / [[158, 59, 13], [56, 89, 30], [19, 45, 51]] ------------------------------ Epoch 1565 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.453493 - Iter 024 / 025, Loss: 0.621192 * Train accuracy / confusion: 76.12% / [[302, 48, 7], [68, 171, 27], [9, 32, 136]], * Val accuracy / confusion: 58.08% / [[157, 60, 13], [58, 93, 24], [15, 48, 52]] ------------------------------ Epoch 1566 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.627028 - Iter 024 / 025, Loss: 0.445089 * Train accuracy / confusion: 74.62% / [[304, 47, 8], [65, 170, 32], [11, 40, 123]], * Val accuracy / confusion: 58.85% / [[160, 55, 15], [65, 88, 22], [20, 37, 58]] ------------------------------ Epoch 1567 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.533716 - Iter 024 / 025, Loss: 0.425014 * Train accuracy / confusion: 77.88% / [[301, 49, 8], [59, 185, 24], [8, 29, 137]], * Val accuracy / confusion: 54.81% / [[149, 61, 20], [62, 84, 29], [20, 43, 52]] ------------------------------ Epoch 1568 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.543810 - Iter 024 / 025, Loss: 0.573155 * Train accuracy / confusion: 78.25% / [[305, 45, 10], [52, 193, 20], [14, 33, 128]], * Val accuracy / confusion: 57.88% / [[156, 56, 18], [67, 86, 22], [18, 38, 59]] ------------------------------ Epoch 1569 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.602636 - Iter 024 / 025, Loss: 0.590512 * Train accuracy / confusion: 79.00% / [[306, 42, 8], [60, 188, 18], [15, 25, 138]], * Val accuracy / confusion: 57.50% / [[150, 60, 20], [63, 91, 21], [14, 43, 58]] ------------------------------ Epoch 1570 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.584184 - Iter 024 / 025, Loss: 0.577180 * Train accuracy / confusion: 75.62% / [[296, 56, 8], [63, 176, 24], [17, 27, 133]], * Val accuracy / confusion: 57.69% / [[143, 67, 20], [55, 97, 23], [19, 36, 60]] ------------------------------ Epoch 1571 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.334618 - Iter 024 / 025, Loss: 0.643643 * Train accuracy / confusion: 76.12% / [[304, 36, 13], [65, 177, 27], [16, 34, 128]], * Val accuracy / confusion: 55.00% / [[154, 58, 18], [66, 78, 31], [15, 46, 54]] ------------------------------ Epoch 1572 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.413196 - Iter 024 / 025, Loss: 0.466324 * Train accuracy / confusion: 78.12% / [[305, 41, 6], [55, 193, 24], [18, 31, 127]], * Val accuracy / confusion: 56.73% / [[160, 57, 13], [64, 80, 31], [18, 42, 55]] ------------------------------ Epoch 1573 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.407396 - Iter 024 / 025, Loss: 0.559748 * Train accuracy / confusion: 76.75% / [[301, 44, 14], [62, 182, 22], [10, 34, 131]], * Val accuracy / confusion: 57.31% / [[155, 55, 20], [63, 91, 21], [24, 39, 52]] ------------------------------ Epoch 1574 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.467173 - Iter 024 / 025, Loss: 0.608610 * Train accuracy / confusion: 74.00% / [[286, 59, 9], [64, 180, 23], [16, 37, 126]], * Val accuracy / confusion: 55.00% / [[146, 70, 14], [64, 89, 22], [15, 49, 51]] ------------------------------ Epoch 1575 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.461517 - Iter 024 / 025, Loss: 0.625993 * Train accuracy / confusion: 77.75% / [[299, 45, 11], [68, 178, 23], [6, 25, 145]], * Val accuracy / confusion: 57.31% / [[159, 59, 12], [62, 81, 32], [17, 40, 58]] ------------------------------ Epoch 1576 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.438803 - Iter 024 / 025, Loss: 0.428192 * Train accuracy / confusion: 73.88% / [[294, 45, 17], [74, 173, 19], [19, 35, 124]], * Val accuracy / confusion: 57.50% / [[158, 62, 10], [59, 89, 27], [16, 47, 52]] ------------------------------ Epoch 1577 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.498439 - Iter 024 / 025, Loss: 0.445646 * Train accuracy / confusion: 79.00% / [[311, 34, 14], [59, 188, 20], [14, 27, 133]], * Val accuracy / confusion: 58.08% / [[156, 57, 17], [63, 91, 21], [13, 47, 55]] ------------------------------ Epoch 1578 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.560635 - Iter 024 / 025, Loss: 0.530674 * Train accuracy / confusion: 76.88% / [[307, 40, 14], [52, 176, 33], [16, 30, 132]], * Val accuracy / confusion: 57.88% / [[154, 55, 21], [59, 92, 24], [19, 41, 55]] ------------------------------ Epoch 1579 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.651059 - Iter 024 / 025, Loss: 0.441529 * Train accuracy / confusion: 78.50% / [[296, 49, 7], [49, 196, 23], [14, 30, 136]], * Val accuracy / confusion: 59.23% / [[165, 54, 11], [61, 91, 23], [21, 42, 52]] ------------------------------ Epoch 1580 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.419345 - Iter 024 / 025, Loss: 0.363667 * Train accuracy / confusion: 76.50% / [[290, 49, 12], [73, 180, 17], [8, 29, 142]], * Val accuracy / confusion: 56.73% / [[160, 58, 12], [72, 86, 17], [22, 44, 49]] ------------------------------ Epoch 1581 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.590144 - Iter 024 / 025, Loss: 0.785878 * Train accuracy / confusion: 75.75% / [[303, 42, 7], [77, 166, 27], [18, 23, 137]], * Val accuracy / confusion: 58.08% / [[154, 59, 17], [71, 87, 17], [14, 40, 61]] ------------------------------ Epoch 1582 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.579661 - Iter 024 / 025, Loss: 0.629912 * Train accuracy / confusion: 78.75% / [[300, 46, 13], [52, 194, 21], [13, 25, 136]], * Val accuracy / confusion: 56.54% / [[152, 60, 18], [60, 87, 28], [15, 45, 55]] ------------------------------ Epoch 1583 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.859819 - Iter 024 / 025, Loss: 0.489865 * Train accuracy / confusion: 77.75% / [[303, 50, 5], [60, 184, 23], [13, 27, 135]], * Val accuracy / confusion: 56.54% / [[157, 61, 12], [65, 83, 27], [24, 37, 54]] ------------------------------ Epoch 1584 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.364331 - Iter 024 / 025, Loss: 0.719345 * Train accuracy / confusion: 76.62% / [[299, 47, 11], [71, 179, 18], [12, 28, 135]], * Val accuracy / confusion: 59.42% / [[160, 59, 11], [66, 91, 18], [18, 39, 58]] ------------------------------ Epoch 1585 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.419252 - Iter 024 / 025, Loss: 0.596649 * Train accuracy / confusion: 75.62% / [[302, 48, 6], [59, 178, 30], [11, 41, 125]], * Val accuracy / confusion: 59.23% / [[167, 46, 17], [67, 89, 19], [14, 49, 52]] ------------------------------ Epoch 1586 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.618792 - Iter 024 / 025, Loss: 0.556183 * Train accuracy / confusion: 76.75% / [[294, 46, 11], [60, 189, 23], [13, 33, 131]], * Val accuracy / confusion: 55.77% / [[156, 58, 16], [58, 86, 31], [20, 47, 48]] ------------------------------ Epoch 1587 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 1.020942 - Iter 024 / 025, Loss: 0.500143 * Train accuracy / confusion: 76.12% / [[294, 56, 9], [61, 178, 25], [11, 29, 137]], * Val accuracy / confusion: 56.15% / [[160, 54, 16], [62, 86, 27], [21, 48, 46]] ------------------------------ Epoch 1588 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.468031 - Iter 024 / 025, Loss: 0.349725 * Train accuracy / confusion: 75.50% / [[303, 43, 14], [69, 182, 18], [11, 41, 119]], * Val accuracy / confusion: 60.96% / [[162, 52, 16], [56, 92, 27], [14, 38, 63]] ------------------------------ Epoch 1589 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.612685 - Iter 024 / 025, Loss: 0.498971 * Train accuracy / confusion: 76.38% / [[300, 47, 9], [64, 179, 24], [10, 35, 132]], * Val accuracy / confusion: 60.00% / [[162, 53, 15], [69, 89, 17], [16, 38, 61]] ------------------------------ Epoch 1590 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.484190 - Iter 024 / 025, Loss: 0.487898 * Train accuracy / confusion: 76.50% / [[296, 52, 8], [70, 175, 22], [11, 25, 141]], * Val accuracy / confusion: 58.85% / [[149, 62, 19], [60, 93, 22], [15, 36, 64]] ------------------------------ Epoch 1591 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.579639 - Iter 024 / 025, Loss: 0.767124 * Train accuracy / confusion: 76.75% / [[297, 48, 9], [63, 187, 20], [14, 32, 130]], * Val accuracy / confusion: 59.62% / [[167, 48, 15], [67, 88, 20], [22, 38, 55]] ------------------------------ Epoch 1592 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.471573 - Iter 024 / 025, Loss: 0.546554 * Train accuracy / confusion: 76.38% / [[291, 52, 10], [65, 182, 21], [11, 30, 138]], * Val accuracy / confusion: 58.08% / [[159, 61, 10], [71, 85, 19], [20, 37, 58]] ------------------------------ Epoch 1593 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.515162 - Iter 024 / 025, Loss: 0.497929 * Train accuracy / confusion: 77.88% / [[298, 50, 10], [50, 197, 19], [6, 42, 128]], * Val accuracy / confusion: 57.69% / [[151, 59, 20], [59, 97, 19], [20, 43, 52]] ------------------------------ Epoch 1594 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.628337 - Iter 024 / 025, Loss: 0.493420 * Train accuracy / confusion: 76.50% / [[302, 45, 11], [54, 184, 31], [18, 29, 126]], * Val accuracy / confusion: 58.65% / [[152, 57, 21], [57, 96, 22], [23, 35, 57]] ------------------------------ Epoch 1595 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.690531 - Iter 024 / 025, Loss: 0.627733 * Train accuracy / confusion: 74.50% / [[299, 50, 7], [71, 170, 25], [9, 42, 127]], * Val accuracy / confusion: 56.54% / [[160, 59, 11], [64, 83, 28], [22, 42, 51]] ------------------------------ Epoch 1596 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.594654 - Iter 024 / 025, Loss: 0.415459 * Train accuracy / confusion: 76.88% / [[306, 46, 5], [67, 177, 23], [13, 31, 132]], * Val accuracy / confusion: 56.15% / [[155, 57, 18], [66, 82, 27], [22, 38, 55]] ------------------------------ Epoch 1597 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.635461 - Iter 024 / 025, Loss: 0.624371 * Train accuracy / confusion: 77.38% / [[299, 49, 8], [62, 181, 26], [11, 25, 139]], * Val accuracy / confusion: 57.88% / [[155, 59, 16], [58, 91, 26], [16, 44, 55]] ------------------------------ Epoch 1598 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.445549 - Iter 024 / 025, Loss: 0.647524 * Train accuracy / confusion: 77.00% / [[300, 50, 6], [55, 181, 30], [14, 29, 135]], * Val accuracy / confusion: 57.50% / [[161, 55, 14], [67, 88, 20], [20, 45, 50]] ------------------------------ Epoch 1599 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.561141 - Iter 024 / 025, Loss: 0.888344 * Train accuracy / confusion: 77.38% / [[305, 43, 12], [63, 185, 16], [18, 29, 129]], * Val accuracy / confusion: 56.35% / [[159, 54, 17], [66, 81, 28], [16, 46, 53]] ------------------------------ Epoch 1600 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.465049 - Iter 024 / 025, Loss: 0.578097 * Train accuracy / confusion: 76.25% / [[292, 61, 8], [51, 185, 28], [9, 33, 133]], * Val accuracy / confusion: 58.46% / [[156, 67, 7], [58, 101, 16], [18, 50, 47]] ------------------------------ Epoch 1601 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.488173 - Iter 024 / 025, Loss: 0.496203 * Train accuracy / confusion: 75.88% / [[299, 44, 12], [65, 182, 19], [16, 37, 126]], * Val accuracy / confusion: 56.73% / [[160, 60, 10], [63, 85, 27], [24, 41, 50]] ------------------------------ Epoch 1602 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.480521 - Iter 024 / 025, Loss: 0.458321 * Train accuracy / confusion: 76.88% / [[306, 41, 8], [69, 177, 25], [11, 31, 132]], * Val accuracy / confusion: 56.15% / [[158, 57, 15], [68, 82, 25], [15, 48, 52]] ------------------------------ Epoch 1603 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.482420 - Iter 024 / 025, Loss: 0.484166 * Train accuracy / confusion: 76.75% / [[306, 42, 5], [56, 184, 30], [16, 37, 124]], * Val accuracy / confusion: 57.88% / [[156, 58, 16], [63, 92, 20], [13, 49, 53]] ------------------------------ Epoch 1604 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.527037 - Iter 024 / 025, Loss: 0.581942 * Train accuracy / confusion: 76.75% / [[296, 41, 12], [73, 178, 21], [12, 27, 140]], * Val accuracy / confusion: 55.00% / [[160, 56, 14], [70, 80, 25], [19, 50, 46]] ------------------------------ Epoch 1605 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.455723 - Iter 024 / 025, Loss: 0.505249 * Train accuracy / confusion: 76.25% / [[291, 54, 9], [65, 179, 24], [10, 28, 140]], * Val accuracy / confusion: 57.50% / [[160, 55, 15], [63, 84, 28], [17, 43, 55]] ------------------------------ Epoch 1606 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.547715 - Iter 024 / 025, Loss: 0.683649 * Train accuracy / confusion: 76.38% / [[301, 40, 16], [56, 186, 22], [15, 40, 124]], * Val accuracy / confusion: 58.65% / [[157, 58, 15], [66, 90, 19], [19, 38, 58]] ------------------------------ Epoch 1607 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.593170 - Iter 024 / 025, Loss: 0.609885 * Train accuracy / confusion: 76.88% / [[294, 47, 12], [68, 178, 23], [8, 27, 143]], * Val accuracy / confusion: 56.92% / [[163, 53, 14], [63, 86, 26], [19, 49, 47]] ------------------------------ Epoch 1608 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.502924 - Iter 024 / 025, Loss: 0.643685 * Train accuracy / confusion: 75.38% / [[298, 47, 11], [63, 178, 27], [17, 32, 127]], * Val accuracy / confusion: 59.62% / [[164, 50, 16], [66, 84, 25], [18, 35, 62]] ------------------------------ Epoch 1609 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.461246 - Iter 024 / 025, Loss: 0.836033 * Train accuracy / confusion: 77.75% / [[306, 40, 11], [59, 188, 22], [14, 32, 128]], * Val accuracy / confusion: 56.35% / [[148, 62, 20], [55, 90, 30], [15, 45, 55]] ------------------------------ Epoch 1610 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.699666 - Iter 024 / 025, Loss: 0.509944 * Train accuracy / confusion: 74.00% / [[292, 49, 15], [74, 170, 26], [9, 35, 130]], * Val accuracy / confusion: 56.92% / [[153, 65, 12], [52, 96, 27], [15, 53, 47]] ------------------------------ Epoch 1611 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.540249 - Iter 024 / 025, Loss: 0.425972 * Train accuracy / confusion: 75.62% / [[288, 60, 7], [66, 184, 17], [13, 32, 133]], * Val accuracy / confusion: 56.92% / [[162, 51, 17], [72, 78, 25], [21, 38, 56]] ------------------------------ Epoch 1612 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.418398 - Iter 024 / 025, Loss: 0.680597 * Train accuracy / confusion: 79.50% / [[305, 44, 8], [58, 192, 16], [8, 30, 139]], * Val accuracy / confusion: 55.58% / [[157, 58, 15], [66, 84, 25], [15, 52, 48]] ------------------------------ Epoch 1613 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.587286 - Iter 024 / 025, Loss: 0.603553 * Train accuracy / confusion: 74.12% / [[294, 46, 12], [69, 173, 27], [15, 38, 126]], * Val accuracy / confusion: 57.69% / [[150, 63, 17], [56, 98, 21], [16, 47, 52]] ------------------------------ Epoch 1614 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.607830 - Iter 024 / 025, Loss: 0.446164 * Train accuracy / confusion: 75.50% / [[287, 57, 12], [61, 183, 25], [13, 28, 134]], * Val accuracy / confusion: 57.88% / [[156, 56, 18], [58, 85, 32], [13, 42, 60]] ------------------------------ Epoch 1615 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.600238 - Iter 024 / 025, Loss: 0.468829 * Train accuracy / confusion: 77.62% / [[299, 46, 9], [63, 186, 19], [15, 27, 136]], * Val accuracy / confusion: 57.69% / [[159, 56, 15], [68, 80, 27], [13, 41, 61]] ------------------------------ Epoch 1616 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.543319 - Iter 024 / 025, Loss: 0.571677 * Train accuracy / confusion: 78.50% / [[302, 46, 9], [62, 181, 21], [10, 24, 145]], * Val accuracy / confusion: 57.50% / [[159, 55, 16], [64, 84, 27], [14, 45, 56]] ------------------------------ Epoch 1617 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.354905 - Iter 024 / 025, Loss: 0.450858 * Train accuracy / confusion: 76.88% / [[300, 45, 13], [59, 187, 21], [9, 38, 128]], * Val accuracy / confusion: 57.50% / [[156, 59, 15], [62, 88, 25], [19, 41, 55]] ------------------------------ Epoch 1618 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.572424 - Iter 024 / 025, Loss: 0.571761 * Train accuracy / confusion: 78.12% / [[307, 40, 11], [67, 185, 18], [13, 26, 133]], * Val accuracy / confusion: 53.46% / [[146, 65, 19], [66, 85, 24], [15, 53, 47]] ------------------------------ Epoch 1619 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.594888 - Iter 024 / 025, Loss: 0.429887 * Train accuracy / confusion: 76.75% / [[302, 47, 9], [61, 183, 22], [14, 33, 129]], * Val accuracy / confusion: 57.69% / [[148, 67, 15], [55, 95, 25], [18, 40, 57]] ------------------------------ Epoch 1620 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.596734 - Iter 024 / 025, Loss: 0.518195 * Train accuracy / confusion: 75.62% / [[294, 51, 10], [62, 176, 29], [10, 33, 135]], * Val accuracy / confusion: 55.96% / [[155, 59, 16], [66, 84, 25], [18, 45, 52]] ------------------------------ Epoch 1621 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.390790 - Iter 024 / 025, Loss: 0.674453 * Train accuracy / confusion: 76.88% / [[300, 44, 12], [68, 181, 17], [7, 37, 134]], * Val accuracy / confusion: 58.46% / [[156, 59, 15], [57, 95, 23], [19, 43, 53]] ------------------------------ Epoch 1622 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.554938 - Iter 024 / 025, Loss: 0.441768 * Train accuracy / confusion: 76.00% / [[296, 45, 13], [58, 183, 29], [8, 39, 129]], * Val accuracy / confusion: 60.38% / [[156, 55, 19], [55, 101, 19], [16, 42, 57]] ------------------------------ Epoch 1623 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.497651 - Iter 024 / 025, Loss: 0.585111 * Train accuracy / confusion: 77.12% / [[298, 47, 10], [64, 182, 23], [11, 28, 137]], * Val accuracy / confusion: 62.88% / [[168, 46, 16], [54, 95, 26], [20, 31, 64]] ------------------------------ Epoch 1624 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.672229 - Iter 024 / 025, Loss: 0.592143 * Train accuracy / confusion: 74.75% / [[294, 52, 10], [64, 170, 31], [10, 35, 134]], * Val accuracy / confusion: 57.88% / [[153, 61, 16], [64, 91, 20], [17, 41, 57]] ------------------------------ Epoch 1625 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.701227 - Iter 024 / 025, Loss: 0.613433 * Train accuracy / confusion: 77.50% / [[302, 49, 7], [55, 187, 25], [11, 33, 131]], * Val accuracy / confusion: 58.65% / [[159, 55, 16], [61, 90, 24], [13, 46, 56]] ------------------------------ Epoch 1626 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.593256 - Iter 024 / 025, Loss: 0.499009 * Train accuracy / confusion: 74.62% / [[283, 56, 14], [69, 182, 21], [11, 32, 132]], * Val accuracy / confusion: 57.12% / [[164, 47, 19], [69, 82, 24], [21, 43, 51]] ------------------------------ Epoch 1627 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.665947 - Iter 024 / 025, Loss: 0.494673 * Train accuracy / confusion: 77.12% / [[298, 45, 15], [63, 176, 21], [15, 24, 143]], * Val accuracy / confusion: 59.23% / [[168, 49, 13], [59, 92, 24], [15, 52, 48]] ------------------------------ Epoch 1628 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.457970 - Iter 024 / 025, Loss: 0.670666 * Train accuracy / confusion: 76.25% / [[292, 44, 17], [60, 186, 25], [11, 33, 132]], * Val accuracy / confusion: 58.65% / [[161, 56, 13], [57, 91, 27], [14, 48, 53]] ------------------------------ Epoch 1629 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.753910 - Iter 024 / 025, Loss: 0.419501 * Train accuracy / confusion: 78.00% / [[304, 39, 11], [67, 185, 18], [11, 30, 135]], * Val accuracy / confusion: 56.15% / [[158, 59, 13], [71, 84, 20], [17, 48, 50]] ------------------------------ Epoch 1630 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.747436 - Iter 024 / 025, Loss: 0.520791 * Train accuracy / confusion: 76.75% / [[301, 45, 8], [73, 176, 18], [16, 26, 137]], * Val accuracy / confusion: 58.08% / [[161, 55, 14], [59, 94, 22], [18, 50, 47]] ------------------------------ Epoch 1631 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.698134 - Iter 024 / 025, Loss: 0.759904 * Train accuracy / confusion: 77.75% / [[307, 41, 10], [60, 187, 21], [13, 33, 128]], * Val accuracy / confusion: 58.85% / [[153, 51, 26], [60, 95, 20], [15, 42, 58]] ------------------------------ Epoch 1632 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.679198 - Iter 024 / 025, Loss: 0.699239 * Train accuracy / confusion: 73.75% / [[291, 53, 11], [70, 175, 23], [13, 40, 124]], * Val accuracy / confusion: 55.19% / [[146, 63, 21], [53, 89, 33], [21, 42, 52]] ------------------------------ Epoch 1633 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.525410 - Iter 024 / 025, Loss: 0.530641 * Train accuracy / confusion: 78.50% / [[311, 41, 6], [62, 185, 20], [13, 30, 132]], * Val accuracy / confusion: 57.12% / [[153, 61, 16], [61, 92, 22], [19, 44, 52]] ------------------------------ Epoch 1634 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.711253 - Iter 024 / 025, Loss: 0.319051 * Train accuracy / confusion: 75.25% / [[300, 43, 10], [69, 177, 23], [14, 39, 125]], * Val accuracy / confusion: 60.58% / [[165, 48, 17], [56, 96, 23], [18, 43, 54]] ------------------------------ Epoch 1635 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.369182 - Iter 024 / 025, Loss: 0.550547 * Train accuracy / confusion: 75.50% / [[289, 50, 14], [59, 180, 29], [9, 35, 135]], * Val accuracy / confusion: 56.15% / [[156, 54, 20], [65, 80, 30], [12, 47, 56]] ------------------------------ Epoch 1636 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.506403 - Iter 024 / 025, Loss: 0.465875 * Train accuracy / confusion: 77.25% / [[298, 51, 6], [57, 184, 26], [9, 33, 136]], * Val accuracy / confusion: 56.73% / [[157, 55, 18], [64, 86, 25], [15, 48, 52]] ------------------------------ Epoch 1637 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.413655 - Iter 024 / 025, Loss: 0.401044 * Train accuracy / confusion: 76.25% / [[299, 51, 7], [61, 180, 26], [11, 34, 131]], * Val accuracy / confusion: 55.96% / [[158, 54, 18], [67, 86, 22], [17, 51, 47]] ------------------------------ Epoch 1638 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.409877 - Iter 024 / 025, Loss: 0.478113 * Train accuracy / confusion: 78.38% / [[303, 42, 9], [59, 185, 24], [8, 31, 139]], * Val accuracy / confusion: 59.04% / [[163, 48, 19], [61, 90, 24], [21, 40, 54]] ------------------------------ Epoch 1639 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.613116 - Iter 024 / 025, Loss: 0.653264 * Train accuracy / confusion: 73.50% / [[286, 57, 11], [70, 171, 29], [11, 34, 131]], * Val accuracy / confusion: 55.96% / [[152, 60, 18], [73, 78, 24], [21, 33, 61]] ------------------------------ Epoch 1640 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.689924 - Iter 024 / 025, Loss: 0.568749 * Train accuracy / confusion: 77.12% / [[300, 48, 9], [60, 190, 20], [15, 31, 127]], * Val accuracy / confusion: 61.15% / [[162, 57, 11], [56, 98, 21], [14, 43, 58]] ------------------------------ Epoch 1641 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.507330 - Iter 024 / 025, Loss: 0.640300 * Train accuracy / confusion: 75.00% / [[297, 47, 11], [60, 176, 31], [14, 37, 127]], * Val accuracy / confusion: 59.62% / [[163, 46, 21], [61, 93, 21], [19, 42, 54]] ------------------------------ Epoch 1642 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.509324 - Iter 024 / 025, Loss: 0.298157 * Train accuracy / confusion: 77.62% / [[303, 46, 7], [61, 182, 23], [9, 33, 136]], * Val accuracy / confusion: 58.08% / [[161, 48, 21], [58, 87, 30], [18, 43, 54]] ------------------------------ Epoch 1643 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.507484 - Iter 024 / 025, Loss: 0.603275 * Train accuracy / confusion: 77.12% / [[292, 52, 12], [59, 187, 23], [12, 25, 138]], * Val accuracy / confusion: 59.23% / [[162, 52, 16], [59, 95, 21], [19, 45, 51]] ------------------------------ Epoch 1644 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.471217 - Iter 024 / 025, Loss: 0.427682 * Train accuracy / confusion: 75.62% / [[295, 49, 11], [62, 179, 28], [18, 27, 131]], * Val accuracy / confusion: 57.31% / [[154, 50, 26], [57, 88, 30], [14, 45, 56]] ------------------------------ Epoch 1645 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.541935 - Iter 024 / 025, Loss: 0.587019 * Train accuracy / confusion: 76.88% / [[291, 50, 11], [60, 191, 19], [18, 27, 133]], * Val accuracy / confusion: 55.00% / [[147, 67, 16], [62, 91, 22], [20, 47, 48]] ------------------------------ Epoch 1646 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.399838 - Iter 024 / 025, Loss: 0.582356 * Train accuracy / confusion: 73.25% / [[291, 58, 8], [72, 167, 28], [13, 35, 128]], * Val accuracy / confusion: 58.65% / [[157, 59, 14], [55, 96, 24], [17, 46, 52]] ------------------------------ Epoch 1647 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.568919 - Iter 024 / 025, Loss: 0.696650 * Train accuracy / confusion: 77.50% / [[293, 42, 14], [58, 197, 17], [13, 36, 130]], * Val accuracy / confusion: 60.38% / [[165, 54, 11], [57, 101, 17], [21, 46, 48]] ------------------------------ Epoch 1648 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.632957 - Iter 024 / 025, Loss: 0.684823 * Train accuracy / confusion: 76.25% / [[299, 46, 8], [58, 181, 29], [11, 38, 130]], * Val accuracy / confusion: 57.50% / [[161, 51, 18], [68, 86, 21], [17, 46, 52]] ------------------------------ Epoch 1649 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.606334 - Iter 024 / 025, Loss: 0.550955 * Train accuracy / confusion: 76.88% / [[305, 46, 8], [63, 182, 19], [14, 35, 128]], * Val accuracy / confusion: 57.69% / [[146, 70, 14], [61, 94, 20], [16, 39, 60]] ------------------------------ Epoch 1650 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.498696 - Iter 024 / 025, Loss: 0.479957 * Train accuracy / confusion: 76.62% / [[297, 44, 11], [64, 192, 16], [16, 36, 124]], * Val accuracy / confusion: 58.27% / [[152, 60, 18], [54, 95, 26], [18, 41, 56]] ------------------------------ Epoch 1651 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.446763 - Iter 024 / 025, Loss: 0.722567 * Train accuracy / confusion: 77.75% / [[293, 51, 9], [61, 186, 20], [13, 24, 143]], * Val accuracy / confusion: 59.42% / [[158, 55, 17], [59, 98, 18], [14, 48, 53]] ------------------------------ Epoch 1652 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.570490 - Iter 024 / 025, Loss: 0.405855 * Train accuracy / confusion: 74.12% / [[279, 58, 15], [65, 183, 23], [6, 40, 131]], * Val accuracy / confusion: 58.08% / [[154, 65, 11], [56, 92, 27], [11, 48, 56]] ------------------------------ Epoch 1653 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.382249 - Iter 024 / 025, Loss: 0.531176 * Train accuracy / confusion: 75.88% / [[296, 43, 16], [65, 181, 25], [10, 34, 130]], * Val accuracy / confusion: 57.50% / [[147, 68, 15], [56, 99, 20], [20, 42, 53]] ------------------------------ Epoch 1654 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.536742 - Iter 024 / 025, Loss: 0.451376 * Train accuracy / confusion: 77.88% / [[301, 39, 13], [59, 185, 25], [8, 33, 137]], * Val accuracy / confusion: 58.08% / [[158, 52, 20], [64, 88, 23], [18, 41, 56]] ------------------------------ Epoch 1655 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.412678 - Iter 024 / 025, Loss: 0.447733 * Train accuracy / confusion: 76.00% / [[280, 61, 11], [61, 195, 15], [17, 27, 133]], * Val accuracy / confusion: 54.23% / [[145, 66, 19], [64, 85, 26], [20, 43, 52]] ------------------------------ Epoch 1656 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.599553 - Iter 024 / 025, Loss: 0.765592 * Train accuracy / confusion: 75.25% / [[288, 50, 16], [67, 183, 18], [11, 36, 131]], * Val accuracy / confusion: 59.81% / [[166, 53, 11], [56, 91, 28], [17, 44, 54]] ------------------------------ Epoch 1657 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.572600 - Iter 024 / 025, Loss: 0.596231 * Train accuracy / confusion: 74.62% / [[297, 46, 10], [71, 174, 24], [9, 43, 126]], * Val accuracy / confusion: 60.77% / [[153, 57, 20], [50, 101, 24], [13, 40, 62]] ------------------------------ Epoch 1658 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.608869 - Iter 024 / 025, Loss: 0.657183 * Train accuracy / confusion: 76.50% / [[301, 45, 10], [59, 183, 28], [10, 36, 128]], * Val accuracy / confusion: 56.15% / [[144, 65, 21], [61, 91, 23], [16, 42, 57]] ------------------------------ Epoch 1659 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.509455 - Iter 024 / 025, Loss: 0.557660 * Train accuracy / confusion: 78.50% / [[303, 44, 7], [52, 192, 22], [16, 31, 133]], * Val accuracy / confusion: 57.12% / [[159, 52, 19], [66, 77, 32], [12, 42, 61]] ------------------------------ Epoch 1660 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.519509 - Iter 024 / 025, Loss: 0.586939 * Train accuracy / confusion: 75.38% / [[290, 53, 10], [68, 185, 17], [15, 34, 128]], * Val accuracy / confusion: 57.69% / [[150, 59, 21], [57, 87, 31], [18, 34, 63]] ------------------------------ Epoch 1661 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.478237 - Iter 024 / 025, Loss: 0.486170 * Train accuracy / confusion: 76.75% / [[296, 50, 11], [58, 185, 22], [10, 35, 133]], * Val accuracy / confusion: 57.69% / [[156, 59, 15], [58, 91, 26], [15, 47, 53]] ------------------------------ Epoch 1662 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.673715 - Iter 024 / 025, Loss: 0.411861 * Train accuracy / confusion: 78.62% / [[301, 50, 10], [60, 185, 21], [10, 20, 143]], * Val accuracy / confusion: 57.50% / [[156, 58, 16], [57, 94, 24], [14, 52, 49]] ------------------------------ Epoch 1663 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.596466 - Iter 024 / 025, Loss: 0.564667 * Train accuracy / confusion: 76.38% / [[300, 46, 10], [69, 178, 24], [11, 29, 133]], * Val accuracy / confusion: 58.65% / [[162, 58, 10], [65, 88, 22], [20, 40, 55]] ------------------------------ Epoch 1664 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.535084 - Iter 024 / 025, Loss: 0.449013 * Train accuracy / confusion: 75.38% / [[303, 38, 12], [69, 176, 26], [10, 42, 124]], * Val accuracy / confusion: 55.96% / [[153, 66, 11], [57, 87, 31], [14, 50, 51]] ------------------------------ Epoch 1665 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.634548 - Iter 024 / 025, Loss: 0.553198 * Train accuracy / confusion: 79.12% / [[305, 37, 17], [53, 195, 19], [10, 31, 133]], * Val accuracy / confusion: 56.54% / [[155, 61, 14], [62, 87, 26], [21, 42, 52]] ------------------------------ Epoch 1666 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.556109 - Iter 024 / 025, Loss: 0.633850 * Train accuracy / confusion: 76.12% / [[300, 49, 11], [55, 186, 23], [15, 38, 123]], * Val accuracy / confusion: 55.58% / [[151, 62, 17], [59, 88, 28], [20, 45, 50]] ------------------------------ Epoch 1667 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.613880 - Iter 024 / 025, Loss: 0.482212 * Train accuracy / confusion: 74.50% / [[290, 58, 12], [70, 167, 24], [12, 28, 139]], * Val accuracy / confusion: 56.92% / [[163, 55, 12], [66, 78, 31], [18, 42, 55]] ------------------------------ Epoch 1668 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.528134 - Iter 024 / 025, Loss: 0.605762 * Train accuracy / confusion: 77.75% / [[293, 45, 14], [60, 195, 17], [12, 30, 134]], * Val accuracy / confusion: 56.15% / [[151, 58, 21], [58, 93, 24], [14, 53, 48]] ------------------------------ Epoch 1669 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.670905 - Iter 024 / 025, Loss: 0.442466 * Train accuracy / confusion: 76.62% / [[296, 53, 4], [63, 184, 21], [13, 33, 133]], * Val accuracy / confusion: 58.46% / [[157, 58, 15], [62, 90, 23], [20, 38, 57]] ------------------------------ Epoch 1670 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.502412 - Iter 024 / 025, Loss: 0.458638 * Train accuracy / confusion: 76.62% / [[296, 46, 7], [62, 184, 27], [16, 29, 133]], * Val accuracy / confusion: 58.65% / [[151, 64, 15], [62, 93, 20], [17, 37, 61]] ------------------------------ Epoch 1671 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.474375 - Iter 024 / 025, Loss: 0.530074 * Train accuracy / confusion: 78.75% / [[298, 49, 10], [57, 191, 19], [8, 27, 141]], * Val accuracy / confusion: 56.15% / [[147, 66, 17], [60, 86, 29], [17, 39, 59]] ------------------------------ Epoch 1672 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.394092 - Iter 024 / 025, Loss: 0.624703 * Train accuracy / confusion: 76.75% / [[300, 39, 15], [55, 182, 29], [13, 35, 132]], * Val accuracy / confusion: 57.12% / [[152, 56, 22], [60, 89, 26], [16, 43, 56]] ------------------------------ Epoch 1673 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.689629 - Iter 024 / 025, Loss: 0.628392 * Train accuracy / confusion: 76.75% / [[295, 52, 11], [64, 183, 20], [10, 29, 136]], * Val accuracy / confusion: 57.50% / [[159, 52, 19], [64, 85, 26], [17, 43, 55]] ------------------------------ Epoch 1674 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.511467 - Iter 024 / 025, Loss: 0.734427 * Train accuracy / confusion: 76.38% / [[303, 44, 7], [63, 176, 31], [16, 28, 132]], * Val accuracy / confusion: 56.35% / [[154, 58, 18], [59, 85, 31], [19, 42, 54]] ------------------------------ Epoch 1675 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.458477 - Iter 024 / 025, Loss: 0.689513 * Train accuracy / confusion: 74.12% / [[291, 52, 16], [63, 174, 26], [15, 35, 128]], * Val accuracy / confusion: 58.08% / [[154, 58, 18], [70, 87, 18], [18, 36, 61]] ------------------------------ Epoch 1676 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.551230 - Iter 024 / 025, Loss: 0.753063 * Train accuracy / confusion: 78.00% / [[305, 44, 9], [49, 192, 25], [19, 30, 127]], * Val accuracy / confusion: 57.88% / [[162, 57, 11], [71, 76, 28], [14, 38, 63]] ------------------------------ Epoch 1677 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.542325 - Iter 024 / 025, Loss: 0.463663 * Train accuracy / confusion: 76.88% / [[296, 49, 13], [58, 190, 17], [17, 31, 129]], * Val accuracy / confusion: 57.50% / [[163, 54, 13], [73, 81, 21], [18, 42, 55]] ------------------------------ Epoch 1678 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.484490 - Iter 024 / 025, Loss: 0.672244 * Train accuracy / confusion: 76.38% / [[305, 46, 6], [66, 172, 28], [16, 27, 134]], * Val accuracy / confusion: 54.42% / [[146, 66, 18], [63, 82, 30], [13, 47, 55]] ------------------------------ Epoch 1679 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.454411 - Iter 024 / 025, Loss: 0.434327 * Train accuracy / confusion: 77.50% / [[298, 49, 11], [58, 189, 22], [13, 27, 133]], * Val accuracy / confusion: 56.54% / [[162, 54, 14], [68, 73, 34], [17, 39, 59]] ------------------------------ Epoch 1680 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.495750 - Iter 024 / 025, Loss: 0.663312 * Train accuracy / confusion: 77.12% / [[296, 51, 9], [60, 188, 20], [13, 30, 133]], * Val accuracy / confusion: 60.77% / [[165, 54, 11], [62, 93, 20], [16, 41, 58]] ------------------------------ Epoch 1681 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.369698 - Iter 024 / 025, Loss: 0.432624 * Train accuracy / confusion: 76.50% / [[302, 46, 10], [63, 176, 23], [13, 33, 134]], * Val accuracy / confusion: 57.31% / [[158, 56, 16], [71, 80, 24], [18, 37, 60]] ------------------------------ Epoch 1682 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.465906 - Iter 024 / 025, Loss: 0.552041 * Train accuracy / confusion: 74.50% / [[288, 51, 21], [63, 182, 22], [15, 32, 126]], * Val accuracy / confusion: 55.38% / [[157, 53, 20], [68, 81, 26], [19, 46, 50]] ------------------------------ Epoch 1683 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.471745 - Iter 024 / 025, Loss: 0.674299 * Train accuracy / confusion: 78.38% / [[305, 42, 7], [59, 188, 24], [11, 30, 134]], * Val accuracy / confusion: 56.92% / [[160, 57, 13], [58, 94, 23], [18, 55, 42]] ------------------------------ Epoch 1684 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.390906 - Iter 024 / 025, Loss: 0.596170 * Train accuracy / confusion: 77.88% / [[308, 42, 6], [70, 181, 17], [7, 35, 134]], * Val accuracy / confusion: 59.23% / [[168, 47, 15], [67, 87, 21], [16, 46, 53]] ------------------------------ Epoch 1685 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.534959 - Iter 024 / 025, Loss: 0.510702 * Train accuracy / confusion: 75.00% / [[295, 50, 13], [62, 178, 25], [13, 37, 127]], * Val accuracy / confusion: 59.42% / [[163, 55, 12], [66, 85, 24], [15, 39, 61]] ------------------------------ Epoch 1686 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.590959 - Iter 024 / 025, Loss: 0.596970 * Train accuracy / confusion: 78.25% / [[300, 44, 14], [56, 190, 20], [10, 30, 136]], * Val accuracy / confusion: 58.85% / [[160, 54, 16], [61, 89, 25], [17, 41, 57]] ------------------------------ Epoch 1687 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.757112 - Iter 024 / 025, Loss: 0.539403 * Train accuracy / confusion: 77.62% / [[298, 42, 9], [63, 189, 17], [17, 31, 134]], * Val accuracy / confusion: 57.69% / [[153, 61, 16], [61, 95, 19], [25, 38, 52]] ------------------------------ Epoch 1688 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.508706 - Iter 024 / 025, Loss: 0.652674 * Train accuracy / confusion: 75.88% / [[296, 45, 12], [69, 188, 14], [17, 36, 123]], * Val accuracy / confusion: 59.42% / [[162, 52, 16], [61, 93, 21], [18, 43, 54]] ------------------------------ Epoch 1689 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.430359 - Iter 024 / 025, Loss: 0.680508 * Train accuracy / confusion: 75.50% / [[293, 51, 11], [64, 176, 24], [14, 32, 135]], * Val accuracy / confusion: 57.88% / [[159, 54, 17], [65, 83, 27], [16, 40, 59]] ------------------------------ Epoch 1690 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.824907 - Iter 024 / 025, Loss: 0.484983 * Train accuracy / confusion: 74.00% / [[293, 48, 16], [61, 178, 26], [18, 39, 121]], * Val accuracy / confusion: 57.31% / [[165, 49, 16], [75, 76, 24], [16, 42, 57]] ------------------------------ Epoch 1691 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.566068 - Iter 024 / 025, Loss: 0.614207 * Train accuracy / confusion: 76.50% / [[302, 36, 17], [58, 182, 30], [14, 33, 128]], * Val accuracy / confusion: 59.23% / [[157, 54, 19], [60, 90, 25], [20, 34, 61]] ------------------------------ Epoch 1692 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.719067 - Iter 024 / 025, Loss: 0.666798 * Train accuracy / confusion: 77.75% / [[299, 43, 13], [58, 187, 25], [11, 28, 136]], * Val accuracy / confusion: 58.85% / [[161, 56, 13], [59, 79, 37], [17, 32, 66]] ------------------------------ Epoch 1693 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.623209 - Iter 024 / 025, Loss: 0.653250 * Train accuracy / confusion: 76.25% / [[296, 47, 11], [66, 180, 23], [9, 34, 134]], * Val accuracy / confusion: 57.31% / [[158, 60, 12], [60, 83, 32], [13, 45, 57]] ------------------------------ Epoch 1694 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.700703 - Iter 024 / 025, Loss: 0.293737 * Train accuracy / confusion: 77.38% / [[309, 39, 11], [58, 186, 20], [16, 37, 124]], * Val accuracy / confusion: 56.92% / [[151, 60, 19], [66, 89, 20], [14, 45, 56]] ------------------------------ Epoch 1695 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.472707 - Iter 024 / 025, Loss: 0.563135 * Train accuracy / confusion: 76.00% / [[295, 55, 9], [58, 176, 28], [10, 32, 137]], * Val accuracy / confusion: 56.73% / [[156, 57, 17], [69, 81, 25], [16, 41, 58]] ------------------------------ Epoch 1696 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.609253 - Iter 024 / 025, Loss: 0.508249 * Train accuracy / confusion: 74.75% / [[291, 55, 8], [64, 180, 23], [15, 37, 127]], * Val accuracy / confusion: 58.85% / [[164, 47, 19], [68, 84, 23], [16, 41, 58]] ------------------------------ Epoch 1697 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 1.148140 - Iter 024 / 025, Loss: 0.439766 * Train accuracy / confusion: 75.75% / [[292, 47, 12], [66, 185, 18], [14, 37, 129]], * Val accuracy / confusion: 57.50% / [[164, 44, 22], [69, 85, 21], [15, 50, 50]] ------------------------------ Epoch 1698 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.631796 - Iter 024 / 025, Loss: 0.736154 * Train accuracy / confusion: 77.25% / [[297, 48, 9], [64, 186, 20], [17, 24, 135]], * Val accuracy / confusion: 60.77% / [[157, 56, 17], [53, 103, 19], [15, 44, 56]] ------------------------------ Epoch 1699 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.318907 - Iter 024 / 025, Loss: 0.503000 * Train accuracy / confusion: 76.50% / [[293, 46, 14], [57, 183, 25], [10, 36, 136]], * Val accuracy / confusion: 59.62% / [[150, 58, 22], [55, 103, 17], [19, 39, 57]] ------------------------------ Epoch 1700 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.594827 - Iter 024 / 025, Loss: 0.586628 * Train accuracy / confusion: 77.12% / [[304, 44, 10], [64, 186, 17], [13, 35, 127]], * Val accuracy / confusion: 58.65% / [[157, 59, 14], [59, 92, 24], [18, 41, 56]] ------------------------------ Epoch 1701 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.606598 - Iter 024 / 025, Loss: 0.410018 * Train accuracy / confusion: 76.88% / [[301, 43, 11], [57, 189, 21], [14, 39, 125]], * Val accuracy / confusion: 51.35% / [[145, 65, 20], [66, 77, 32], [20, 50, 45]] ------------------------------ Epoch 1702 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.437254 - Iter 024 / 025, Loss: 0.331698 * Train accuracy / confusion: 75.00% / [[294, 53, 9], [64, 181, 22], [15, 37, 125]], * Val accuracy / confusion: 57.12% / [[155, 55, 20], [63, 86, 26], [15, 44, 56]] ------------------------------ Epoch 1703 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.347494 - Iter 024 / 025, Loss: 0.549806 * Train accuracy / confusion: 76.62% / [[301, 44, 12], [66, 176, 28], [7, 30, 136]], * Val accuracy / confusion: 55.19% / [[159, 52, 19], [70, 71, 34], [20, 38, 57]] ------------------------------ Epoch 1704 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.350898 - Iter 024 / 025, Loss: 0.610150 * Train accuracy / confusion: 75.25% / [[300, 46, 9], [67, 173, 29], [14, 33, 129]], * Val accuracy / confusion: 56.92% / [[155, 55, 20], [63, 87, 25], [15, 46, 54]] ------------------------------ Epoch 1705 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.523145 - Iter 024 / 025, Loss: 0.647664 * Train accuracy / confusion: 77.12% / [[302, 48, 7], [66, 177, 23], [12, 27, 138]], * Val accuracy / confusion: 60.96% / [[157, 58, 15], [54, 99, 22], [17, 37, 61]] ------------------------------ Epoch 1706 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.424659 - Iter 024 / 025, Loss: 0.565564 * Train accuracy / confusion: 77.50% / [[295, 50, 9], [65, 187, 18], [12, 26, 138]], * Val accuracy / confusion: 56.73% / [[154, 59, 17], [64, 85, 26], [12, 47, 56]] ------------------------------ Epoch 1707 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.602414 - Iter 024 / 025, Loss: 0.479356 * Train accuracy / confusion: 75.00% / [[295, 52, 12], [61, 174, 31], [11, 33, 131]], * Val accuracy / confusion: 59.23% / [[158, 56, 16], [68, 89, 18], [15, 39, 61]] ------------------------------ Epoch 1708 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.505378 - Iter 024 / 025, Loss: 0.743933 * Train accuracy / confusion: 76.12% / [[295, 48, 14], [58, 183, 26], [13, 32, 131]], * Val accuracy / confusion: 55.77% / [[149, 62, 19], [60, 91, 24], [21, 44, 50]] ------------------------------ Epoch 1709 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.848629 - Iter 024 / 025, Loss: 0.422691 * Train accuracy / confusion: 76.50% / [[297, 58, 4], [60, 183, 21], [15, 30, 132]], * Val accuracy / confusion: 59.42% / [[160, 55, 15], [58, 97, 20], [12, 51, 52]] ------------------------------ Epoch 1710 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.490812 - Iter 024 / 025, Loss: 0.482594 * Train accuracy / confusion: 76.12% / [[298, 52, 9], [65, 176, 24], [9, 32, 135]], * Val accuracy / confusion: 56.54% / [[157, 57, 16], [54, 87, 34], [14, 51, 50]] ------------------------------ Epoch 1711 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.380752 - Iter 024 / 025, Loss: 0.453816 * Train accuracy / confusion: 76.88% / [[304, 45, 8], [62, 175, 28], [12, 30, 136]], * Val accuracy / confusion: 59.04% / [[160, 53, 17], [63, 91, 21], [19, 40, 56]] ------------------------------ Epoch 1712 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.380698 - Iter 024 / 025, Loss: 0.397819 * Train accuracy / confusion: 75.88% / [[293, 48, 11], [50, 188, 32], [10, 42, 126]], * Val accuracy / confusion: 58.08% / [[159, 57, 14], [60, 87, 28], [15, 44, 56]] ------------------------------ Epoch 1713 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.693953 - Iter 024 / 025, Loss: 0.540138 * Train accuracy / confusion: 77.62% / [[302, 47, 9], [57, 186, 26], [15, 25, 133]], * Val accuracy / confusion: 60.00% / [[166, 53, 11], [64, 91, 20], [20, 40, 55]] ------------------------------ Epoch 1714 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.608572 - Iter 024 / 025, Loss: 0.469200 * Train accuracy / confusion: 76.38% / [[296, 48, 13], [69, 181, 17], [13, 29, 134]], * Val accuracy / confusion: 57.69% / [[157, 54, 19], [67, 93, 15], [13, 52, 50]] ------------------------------ Epoch 1715 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.528795 - Iter 024 / 025, Loss: 0.347362 * Train accuracy / confusion: 77.50% / [[300, 38, 14], [61, 186, 23], [13, 31, 134]], * Val accuracy / confusion: 58.46% / [[158, 49, 23], [66, 86, 23], [13, 42, 60]] ------------------------------ Epoch 1716 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.612821 - Iter 024 / 025, Loss: 0.439391 * Train accuracy / confusion: 77.00% / [[300, 46, 10], [62, 184, 19], [19, 28, 132]], * Val accuracy / confusion: 57.12% / [[156, 63, 11], [65, 81, 29], [17, 38, 60]] ------------------------------ Epoch 1717 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.543649 - Iter 024 / 025, Loss: 0.693709 * Train accuracy / confusion: 76.62% / [[301, 36, 18], [59, 188, 22], [20, 32, 124]], * Val accuracy / confusion: 57.12% / [[152, 58, 20], [64, 84, 27], [19, 35, 61]] ------------------------------ Epoch 1718 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.388253 - Iter 024 / 025, Loss: 0.547705 * Train accuracy / confusion: 78.38% / [[306, 43, 11], [56, 184, 22], [11, 30, 137]], * Val accuracy / confusion: 57.69% / [[161, 57, 12], [61, 82, 32], [11, 47, 57]] ------------------------------ Epoch 1719 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.879812 - Iter 024 / 025, Loss: 0.408184 * Train accuracy / confusion: 76.75% / [[297, 44, 13], [61, 184, 23], [10, 35, 133]], * Val accuracy / confusion: 54.62% / [[154, 56, 20], [58, 74, 43], [19, 40, 56]] ------------------------------ Epoch 1720 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.600198 - Iter 024 / 025, Loss: 0.531135 * Train accuracy / confusion: 76.62% / [[297, 48, 9], [64, 176, 28], [11, 27, 140]], * Val accuracy / confusion: 57.31% / [[155, 58, 17], [65, 95, 15], [21, 46, 48]] ------------------------------ Epoch 1721 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.460301 - Iter 024 / 025, Loss: 0.414954 * Train accuracy / confusion: 75.62% / [[296, 42, 19], [53, 191, 24], [14, 43, 118]], * Val accuracy / confusion: 58.08% / [[148, 69, 13], [60, 97, 18], [16, 42, 57]] ------------------------------ Epoch 1722 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.477099 - Iter 024 / 025, Loss: 0.467032 * Train accuracy / confusion: 77.50% / [[299, 46, 11], [59, 188, 21], [11, 32, 133]], * Val accuracy / confusion: 56.35% / [[152, 62, 16], [65, 89, 21], [18, 45, 52]] ------------------------------ Epoch 1723 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.620992 - Iter 024 / 025, Loss: 0.617066 * Train accuracy / confusion: 77.25% / [[300, 43, 13], [52, 194, 18], [16, 40, 124]], * Val accuracy / confusion: 56.35% / [[155, 59, 16], [68, 81, 26], [19, 39, 57]] ------------------------------ Epoch 1724 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.544412 - Iter 024 / 025, Loss: 0.414765 * Train accuracy / confusion: 75.12% / [[292, 48, 14], [63, 177, 31], [10, 33, 132]], * Val accuracy / confusion: 57.69% / [[153, 57, 20], [61, 87, 27], [15, 40, 60]] ------------------------------ Epoch 1725 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.687799 - Iter 024 / 025, Loss: 0.478742 * Train accuracy / confusion: 76.38% / [[298, 49, 10], [65, 179, 21], [10, 34, 134]], * Val accuracy / confusion: 59.42% / [[155, 62, 13], [56, 95, 24], [17, 39, 59]] ------------------------------ Epoch 1726 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.472126 - Iter 024 / 025, Loss: 0.459351 * Train accuracy / confusion: 77.88% / [[302, 38, 17], [56, 183, 24], [13, 29, 138]], * Val accuracy / confusion: 59.42% / [[158, 57, 15], [64, 92, 19], [18, 38, 59]] ------------------------------ Epoch 1727 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.415463 - Iter 024 / 025, Loss: 0.367971 * Train accuracy / confusion: 76.38% / [[301, 43, 8], [71, 178, 22], [11, 34, 132]], * Val accuracy / confusion: 58.46% / [[156, 61, 13], [51, 98, 26], [13, 52, 50]] ------------------------------ Epoch 1728 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.641846 - Iter 024 / 025, Loss: 0.607718 * Train accuracy / confusion: 77.00% / [[299, 42, 11], [66, 178, 27], [9, 29, 139]], * Val accuracy / confusion: 57.88% / [[158, 59, 13], [69, 85, 21], [13, 44, 58]] ------------------------------ Epoch 1729 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.424066 - Iter 024 / 025, Loss: 0.626314 * Train accuracy / confusion: 78.62% / [[301, 37, 17], [59, 191, 19], [10, 29, 137]], * Val accuracy / confusion: 56.73% / [[149, 64, 17], [61, 95, 19], [19, 45, 51]] ------------------------------ Epoch 1730 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.514299 - Iter 024 / 025, Loss: 0.751357 * Train accuracy / confusion: 78.12% / [[296, 48, 11], [57, 189, 20], [12, 27, 140]], * Val accuracy / confusion: 58.27% / [[152, 61, 17], [60, 94, 21], [16, 42, 57]] ------------------------------ Epoch 1731 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.557625 - Iter 024 / 025, Loss: 0.731249 * Train accuracy / confusion: 78.12% / [[309, 38, 11], [60, 186, 21], [13, 32, 130]], * Val accuracy / confusion: 57.88% / [[159, 57, 14], [64, 84, 27], [20, 37, 58]] ------------------------------ Epoch 1732 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.671641 - Iter 024 / 025, Loss: 0.775218 * Train accuracy / confusion: 75.50% / [[293, 51, 10], [69, 181, 19], [14, 33, 130]], * Val accuracy / confusion: 56.92% / [[166, 43, 21], [69, 77, 29], [17, 45, 53]] ------------------------------ Epoch 1733 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.437648 - Iter 024 / 025, Loss: 0.540137 * Train accuracy / confusion: 76.00% / [[294, 58, 10], [59, 185, 21], [7, 37, 129]], * Val accuracy / confusion: 55.19% / [[142, 63, 25], [65, 88, 22], [11, 47, 57]] ------------------------------ Epoch 1734 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.643134 - Iter 024 / 025, Loss: 0.610893 * Train accuracy / confusion: 75.12% / [[292, 54, 14], [68, 181, 17], [13, 33, 128]], * Val accuracy / confusion: 55.00% / [[148, 58, 24], [63, 85, 27], [18, 44, 53]] ------------------------------ Epoch 1735 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.689720 - Iter 024 / 025, Loss: 0.452314 * Train accuracy / confusion: 77.88% / [[311, 39, 7], [53, 188, 27], [12, 39, 124]], * Val accuracy / confusion: 55.00% / [[155, 55, 20], [70, 81, 24], [21, 44, 50]] ------------------------------ Epoch 1736 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.366018 - Iter 024 / 025, Loss: 0.784269 * Train accuracy / confusion: 78.38% / [[305, 41, 15], [51, 185, 28], [13, 25, 137]], * Val accuracy / confusion: 55.58% / [[153, 63, 14], [59, 91, 25], [21, 49, 45]] ------------------------------ Epoch 1737 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.713449 - Iter 024 / 025, Loss: 0.580078 * Train accuracy / confusion: 78.38% / [[302, 43, 8], [57, 191, 26], [8, 31, 134]], * Val accuracy / confusion: 56.92% / [[151, 64, 15], [57, 90, 28], [10, 50, 55]] ------------------------------ Epoch 1738 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.923278 - Iter 024 / 025, Loss: 0.559291 * Train accuracy / confusion: 75.62% / [[297, 55, 10], [56, 181, 26], [11, 37, 127]], * Val accuracy / confusion: 57.88% / [[151, 59, 20], [59, 94, 22], [17, 42, 56]] ------------------------------ Epoch 1739 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.627221 - Iter 024 / 025, Loss: 0.542457 * Train accuracy / confusion: 75.50% / [[295, 47, 15], [59, 185, 24], [20, 31, 124]], * Val accuracy / confusion: 55.00% / [[141, 70, 19], [49, 95, 31], [15, 50, 50]] ------------------------------ Epoch 1740 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.649259 - Iter 024 / 025, Loss: 0.479210 * Train accuracy / confusion: 77.38% / [[302, 43, 13], [57, 185, 24], [11, 33, 132]], * Val accuracy / confusion: 55.77% / [[149, 59, 22], [64, 87, 24], [15, 46, 54]] ------------------------------ Epoch 1741 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.609264 - Iter 024 / 025, Loss: 0.654269 * Train accuracy / confusion: 77.12% / [[303, 46, 8], [62, 182, 20], [11, 36, 132]], * Val accuracy / confusion: 59.62% / [[161, 60, 9], [64, 92, 19], [17, 41, 57]] ------------------------------ Epoch 1742 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.503794 - Iter 024 / 025, Loss: 0.627419 * Train accuracy / confusion: 76.75% / [[294, 56, 5], [60, 187, 24], [9, 32, 133]], * Val accuracy / confusion: 57.12% / [[151, 60, 19], [63, 92, 20], [14, 47, 54]] ------------------------------ Epoch 1743 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.612735 - Iter 024 / 025, Loss: 0.492323 * Train accuracy / confusion: 78.62% / [[303, 41, 13], [49, 194, 26], [13, 29, 132]], * Val accuracy / confusion: 56.15% / [[144, 63, 23], [58, 91, 26], [17, 41, 57]] ------------------------------ Epoch 1744 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.375976 - Iter 024 / 025, Loss: 0.397675 * Train accuracy / confusion: 76.25% / [[312, 38, 11], [67, 165, 30], [15, 29, 133]], * Val accuracy / confusion: 59.04% / [[160, 54, 16], [62, 90, 23], [18, 40, 57]] ------------------------------ Epoch 1745 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.623318 - Iter 024 / 025, Loss: 0.693563 * Train accuracy / confusion: 77.75% / [[298, 47, 12], [53, 196, 19], [15, 32, 128]], * Val accuracy / confusion: 55.77% / [[154, 55, 21], [67, 84, 24], [17, 46, 52]] ------------------------------ Epoch 1746 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.489741 - Iter 024 / 025, Loss: 0.457127 * Train accuracy / confusion: 79.38% / [[301, 47, 12], [55, 194, 17], [7, 27, 140]], * Val accuracy / confusion: 59.81% / [[166, 40, 24], [62, 85, 28], [15, 40, 60]] ------------------------------ Epoch 1747 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.627975 - Iter 024 / 025, Loss: 0.486955 * Train accuracy / confusion: 75.88% / [[295, 45, 13], [61, 182, 25], [13, 36, 130]], * Val accuracy / confusion: 56.92% / [[158, 56, 16], [58, 86, 31], [14, 49, 52]] ------------------------------ Epoch 1748 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.496995 - Iter 024 / 025, Loss: 0.619497 * Train accuracy / confusion: 77.75% / [[294, 52, 8], [62, 184, 20], [7, 29, 144]], * Val accuracy / confusion: 54.62% / [[151, 58, 21], [70, 90, 15], [23, 49, 43]] ------------------------------ Epoch 1749 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.562221 - Iter 024 / 025, Loss: 0.522813 * Train accuracy / confusion: 74.75% / [[295, 48, 15], [63, 172, 27], [14, 35, 131]], * Val accuracy / confusion: 57.88% / [[146, 58, 26], [51, 98, 26], [23, 35, 57]] ------------------------------ Epoch 1750 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.429610 - Iter 024 / 025, Loss: 0.527434 * Train accuracy / confusion: 73.75% / [[287, 56, 14], [71, 180, 22], [16, 31, 123]], * Val accuracy / confusion: 55.19% / [[153, 55, 22], [68, 78, 29], [24, 35, 56]] ------------------------------ Epoch 1751 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.575972 - Iter 024 / 025, Loss: 0.604517 * Train accuracy / confusion: 76.62% / [[292, 54, 9], [65, 181, 22], [13, 24, 140]], * Val accuracy / confusion: 55.00% / [[153, 61, 16], [65, 75, 35], [17, 40, 58]] ------------------------------ Epoch 1752 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.436693 - Iter 024 / 025, Loss: 0.847815 * Train accuracy / confusion: 77.50% / [[300, 53, 9], [60, 181, 21], [12, 25, 139]], * Val accuracy / confusion: 56.92% / [[152, 54, 24], [66, 91, 18], [21, 41, 53]] ------------------------------ Epoch 1753 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.507735 - Iter 024 / 025, Loss: 0.605349 * Train accuracy / confusion: 76.00% / [[292, 51, 16], [56, 182, 30], [13, 26, 134]], * Val accuracy / confusion: 59.04% / [[164, 53, 13], [57, 89, 29], [14, 47, 54]] ------------------------------ Epoch 1754 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.353408 - Iter 024 / 025, Loss: 0.770958 * Train accuracy / confusion: 76.88% / [[305, 42, 9], [68, 182, 19], [16, 31, 128]], * Val accuracy / confusion: 56.54% / [[151, 59, 20], [72, 86, 17], [14, 44, 57]] ------------------------------ Epoch 1755 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.398708 - Iter 024 / 025, Loss: 0.845489 * Train accuracy / confusion: 74.88% / [[292, 51, 13], [62, 181, 23], [7, 45, 126]], * Val accuracy / confusion: 57.50% / [[159, 52, 19], [57, 89, 29], [18, 46, 51]] ------------------------------ Epoch 1756 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.557335 - Iter 024 / 025, Loss: 0.620175 * Train accuracy / confusion: 79.50% / [[312, 40, 7], [68, 177, 18], [9, 22, 147]], * Val accuracy / confusion: 61.15% / [[164, 53, 13], [58, 92, 25], [17, 36, 62]] ------------------------------ Epoch 1757 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.634978 - Iter 024 / 025, Loss: 0.540689 * Train accuracy / confusion: 75.25% / [[295, 48, 14], [65, 180, 20], [14, 37, 127]], * Val accuracy / confusion: 56.54% / [[163, 43, 24], [71, 78, 26], [22, 40, 53]] ------------------------------ Epoch 1758 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.374238 - Iter 024 / 025, Loss: 0.378656 * Train accuracy / confusion: 75.25% / [[295, 48, 13], [64, 178, 25], [13, 35, 129]], * Val accuracy / confusion: 58.85% / [[166, 50, 14], [66, 87, 22], [18, 44, 53]] ------------------------------ Epoch 1759 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.459696 - Iter 024 / 025, Loss: 0.586288 * Train accuracy / confusion: 76.50% / [[296, 51, 12], [50, 183, 30], [13, 32, 133]], * Val accuracy / confusion: 57.31% / [[153, 59, 18], [64, 89, 22], [19, 40, 56]] ------------------------------ Epoch 1760 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.670663 - Iter 024 / 025, Loss: 0.465538 * Train accuracy / confusion: 76.50% / [[306, 36, 15], [65, 183, 22], [11, 39, 123]], * Val accuracy / confusion: 57.50% / [[154, 59, 17], [50, 91, 34], [19, 42, 54]] ------------------------------ Epoch 1761 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.533484 - Iter 024 / 025, Loss: 0.389842 * Train accuracy / confusion: 79.75% / [[304, 38, 10], [55, 194, 20], [9, 30, 140]], * Val accuracy / confusion: 56.54% / [[155, 55, 20], [56, 90, 29], [16, 50, 49]] ------------------------------ Epoch 1762 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.550114 - Iter 024 / 025, Loss: 0.669313 * Train accuracy / confusion: 76.88% / [[298, 49, 13], [56, 184, 27], [9, 31, 133]], * Val accuracy / confusion: 58.85% / [[154, 53, 23], [59, 90, 26], [10, 43, 62]] ------------------------------ Epoch 1763 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.736751 - Iter 024 / 025, Loss: 0.360648 * Train accuracy / confusion: 75.00% / [[295, 53, 9], [66, 173, 25], [10, 37, 132]], * Val accuracy / confusion: 60.96% / [[159, 56, 15], [53, 103, 19], [11, 49, 55]] ------------------------------ Epoch 1764 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.502853 - Iter 024 / 025, Loss: 0.378857 * Train accuracy / confusion: 76.38% / [[294, 44, 15], [58, 185, 26], [13, 33, 132]], * Val accuracy / confusion: 55.96% / [[150, 62, 18], [58, 93, 24], [17, 50, 48]] ------------------------------ Epoch 1765 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.506268 - Iter 024 / 025, Loss: 0.684887 * Train accuracy / confusion: 74.38% / [[295, 52, 11], [64, 173, 26], [15, 37, 127]], * Val accuracy / confusion: 56.73% / [[156, 60, 14], [62, 91, 22], [21, 46, 48]] ------------------------------ Epoch 1766 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.704777 - Iter 024 / 025, Loss: 0.339420 * Train accuracy / confusion: 78.38% / [[301, 44, 12], [61, 188, 21], [6, 29, 138]], * Val accuracy / confusion: 57.12% / [[156, 56, 18], [66, 85, 24], [20, 39, 56]] ------------------------------ Epoch 1767 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.657502 - Iter 024 / 025, Loss: 0.591717 * Train accuracy / confusion: 77.38% / [[301, 43, 11], [67, 180, 21], [10, 29, 138]], * Val accuracy / confusion: 56.35% / [[148, 65, 17], [61, 88, 26], [14, 44, 57]] ------------------------------ Epoch 1768 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.405637 - Iter 024 / 025, Loss: 0.816519 * Train accuracy / confusion: 74.00% / [[289, 54, 11], [75, 171, 22], [14, 32, 132]], * Val accuracy / confusion: 58.08% / [[160, 52, 18], [67, 88, 20], [16, 45, 54]] ------------------------------ Epoch 1769 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.461907 - Iter 024 / 025, Loss: 0.591018 * Train accuracy / confusion: 77.50% / [[295, 53, 9], [59, 192, 17], [14, 28, 133]], * Val accuracy / confusion: 61.92% / [[171, 50, 9], [67, 88, 20], [15, 37, 63]] ------------------------------ Epoch 1770 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.490910 - Iter 024 / 025, Loss: 0.658338 * Train accuracy / confusion: 75.38% / [[298, 50, 10], [71, 170, 24], [9, 33, 135]], * Val accuracy / confusion: 60.38% / [[160, 55, 15], [51, 95, 29], [17, 39, 59]] ------------------------------ Epoch 1771 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.517851 - Iter 024 / 025, Loss: 0.614249 * Train accuracy / confusion: 76.62% / [[301, 43, 12], [52, 187, 28], [15, 37, 125]], * Val accuracy / confusion: 56.73% / [[154, 63, 13], [60, 88, 27], [18, 44, 53]] ------------------------------ Epoch 1772 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.509684 - Iter 024 / 025, Loss: 0.640831 * Train accuracy / confusion: 75.62% / [[285, 62, 10], [59, 187, 22], [7, 35, 133]], * Val accuracy / confusion: 58.65% / [[155, 63, 12], [54, 100, 21], [15, 50, 50]] ------------------------------ Epoch 1773 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.496068 - Iter 024 / 025, Loss: 0.494606 * Train accuracy / confusion: 76.00% / [[300, 49, 9], [74, 177, 15], [9, 36, 131]], * Val accuracy / confusion: 57.12% / [[155, 59, 16], [61, 92, 22], [19, 46, 50]] ------------------------------ Epoch 1774 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.575888 - Iter 024 / 025, Loss: 0.505264 * Train accuracy / confusion: 78.50% / [[306, 41, 6], [74, 183, 15], [13, 23, 139]], * Val accuracy / confusion: 59.23% / [[161, 56, 13], [65, 93, 17], [17, 44, 54]] ------------------------------ Epoch 1775 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.486957 - Iter 024 / 025, Loss: 0.594088 * Train accuracy / confusion: 79.50% / [[314, 35, 8], [62, 185, 20], [10, 29, 137]], * Val accuracy / confusion: 57.69% / [[161, 56, 13], [65, 89, 21], [16, 49, 50]] ------------------------------ Epoch 1776 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.612401 - Iter 024 / 025, Loss: 0.422169 * Train accuracy / confusion: 76.38% / [[294, 48, 11], [64, 181, 26], [9, 31, 136]], * Val accuracy / confusion: 57.88% / [[162, 48, 20], [66, 87, 22], [24, 39, 52]] ------------------------------ Epoch 1777 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.550025 - Iter 024 / 025, Loss: 0.445831 * Train accuracy / confusion: 77.75% / [[296, 52, 10], [61, 188, 19], [10, 26, 138]], * Val accuracy / confusion: 57.50% / [[157, 51, 22], [56, 93, 26], [20, 46, 49]] ------------------------------ Epoch 1778 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.405421 - Iter 024 / 025, Loss: 0.492107 * Train accuracy / confusion: 76.88% / [[297, 43, 12], [73, 176, 21], [10, 26, 142]], * Val accuracy / confusion: 56.54% / [[155, 62, 13], [65, 91, 19], [27, 40, 48]] ------------------------------ Epoch 1779 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.541040 - Iter 024 / 025, Loss: 0.620006 * Train accuracy / confusion: 77.12% / [[305, 45, 6], [70, 178, 21], [11, 30, 134]], * Val accuracy / confusion: 58.65% / [[151, 64, 15], [56, 102, 17], [18, 45, 52]] ------------------------------ Epoch 1780 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.431598 - Iter 024 / 025, Loss: 0.593065 * Train accuracy / confusion: 78.00% / [[308, 34, 12], [65, 182, 21], [12, 32, 134]], * Val accuracy / confusion: 55.96% / [[156, 56, 18], [71, 82, 22], [15, 47, 53]] ------------------------------ Epoch 1781 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.506708 - Iter 024 / 025, Loss: 0.524585 * Train accuracy / confusion: 78.75% / [[302, 50, 3], [60, 193, 14], [13, 30, 135]], * Val accuracy / confusion: 56.92% / [[152, 61, 17], [65, 86, 24], [19, 38, 58]] ------------------------------ Epoch 1782 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.561063 - Iter 024 / 025, Loss: 0.384605 * Train accuracy / confusion: 77.25% / [[297, 49, 11], [60, 189, 19], [11, 32, 132]], * Val accuracy / confusion: 57.31% / [[152, 66, 12], [57, 88, 30], [10, 47, 58]] ------------------------------ Epoch 1783 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.664305 - Iter 024 / 025, Loss: 0.492569 * Train accuracy / confusion: 78.38% / [[300, 44, 12], [57, 193, 20], [15, 25, 134]], * Val accuracy / confusion: 57.12% / [[159, 55, 16], [62, 83, 30], [18, 42, 55]] ------------------------------ Epoch 1784 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.503181 - Iter 024 / 025, Loss: 0.553829 * Train accuracy / confusion: 75.88% / [[302, 44, 12], [58, 180, 28], [20, 31, 125]], * Val accuracy / confusion: 57.31% / [[165, 50, 15], [68, 78, 29], [11, 49, 55]] ------------------------------ Epoch 1785 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.496039 - Iter 024 / 025, Loss: 0.825757 * Train accuracy / confusion: 76.62% / [[299, 49, 6], [71, 175, 21], [9, 31, 139]], * Val accuracy / confusion: 56.73% / [[146, 67, 17], [58, 96, 21], [23, 39, 53]] ------------------------------ Epoch 1786 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.431129 - Iter 024 / 025, Loss: 0.379299 * Train accuracy / confusion: 78.00% / [[301, 41, 12], [57, 186, 27], [14, 25, 137]], * Val accuracy / confusion: 59.42% / [[159, 58, 13], [58, 88, 29], [15, 38, 62]] ------------------------------ Epoch 1787 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.709527 - Iter 024 / 025, Loss: 0.703421 * Train accuracy / confusion: 75.00% / [[293, 53, 11], [62, 175, 31], [11, 32, 132]], * Val accuracy / confusion: 57.88% / [[152, 58, 20], [54, 90, 31], [17, 39, 59]] ------------------------------ Epoch 1788 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.743694 - Iter 024 / 025, Loss: 0.662426 * Train accuracy / confusion: 76.12% / [[301, 42, 14], [61, 180, 24], [15, 35, 128]], * Val accuracy / confusion: 58.85% / [[160, 51, 19], [66, 88, 21], [17, 40, 58]] ------------------------------ Epoch 1789 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.681934 - Iter 024 / 025, Loss: 0.592827 * Train accuracy / confusion: 77.38% / [[295, 47, 14], [57, 189, 21], [14, 28, 135]], * Val accuracy / confusion: 58.85% / [[153, 56, 21], [64, 89, 22], [12, 39, 64]] ------------------------------ Epoch 1790 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.499990 - Iter 024 / 025, Loss: 0.553563 * Train accuracy / confusion: 78.38% / [[303, 44, 9], [54, 193, 20], [14, 32, 131]], * Val accuracy / confusion: 59.81% / [[168, 50, 12], [64, 84, 27], [20, 36, 59]] ------------------------------ Epoch 1791 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.489476 - Iter 024 / 025, Loss: 0.544493 * Train accuracy / confusion: 77.12% / [[295, 49, 13], [64, 181, 21], [12, 24, 141]], * Val accuracy / confusion: 58.85% / [[163, 45, 22], [61, 87, 27], [18, 41, 56]] ------------------------------ Epoch 1792 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.587793 - Iter 024 / 025, Loss: 0.408497 * Train accuracy / confusion: 77.75% / [[300, 47, 8], [61, 189, 19], [10, 33, 133]], * Val accuracy / confusion: 55.77% / [[156, 58, 16], [71, 83, 21], [18, 46, 51]] ------------------------------ Epoch 1793 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.486322 - Iter 024 / 025, Loss: 0.532952 * Train accuracy / confusion: 76.38% / [[299, 51, 7], [56, 186, 24], [16, 35, 126]], * Val accuracy / confusion: 58.27% / [[161, 52, 17], [60, 88, 27], [19, 42, 54]] ------------------------------ Epoch 1794 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.537455 - Iter 024 / 025, Loss: 0.718478 * Train accuracy / confusion: 77.12% / [[300, 50, 10], [64, 182, 22], [10, 27, 135]], * Val accuracy / confusion: 58.85% / [[160, 53, 17], [55, 88, 32], [15, 42, 58]] ------------------------------ Epoch 1795 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.882909 - Iter 024 / 025, Loss: 0.693016 * Train accuracy / confusion: 77.75% / [[300, 52, 8], [51, 192, 19], [16, 32, 130]], * Val accuracy / confusion: 58.46% / [[160, 52, 18], [62, 90, 23], [13, 48, 54]] ------------------------------ Epoch 1796 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.730191 - Iter 024 / 025, Loss: 0.355010 * Train accuracy / confusion: 75.75% / [[292, 51, 12], [58, 190, 22], [15, 36, 124]], * Val accuracy / confusion: 60.19% / [[160, 50, 20], [59, 94, 22], [17, 39, 59]] ------------------------------ Epoch 1797 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.818720 - Iter 024 / 025, Loss: 0.509556 * Train accuracy / confusion: 77.00% / [[292, 52, 11], [58, 192, 18], [16, 29, 132]], * Val accuracy / confusion: 57.50% / [[157, 57, 16], [66, 87, 22], [21, 39, 55]] ------------------------------ Epoch 1798 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.443709 - Iter 024 / 025, Loss: 0.514905 * Train accuracy / confusion: 77.75% / [[300, 48, 10], [63, 182, 23], [13, 21, 140]], * Val accuracy / confusion: 56.73% / [[152, 60, 18], [62, 90, 23], [16, 46, 53]] ------------------------------ Epoch 1799 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.497418 - Iter 024 / 025, Loss: 0.541128 * Train accuracy / confusion: 76.38% / [[296, 49, 8], [64, 180, 25], [12, 31, 135]], * Val accuracy / confusion: 58.85% / [[158, 57, 15], [55, 90, 30], [16, 41, 58]] ------------------------------ Epoch 1800 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.509575 - Iter 024 / 025, Loss: 0.497681 * Train accuracy / confusion: 77.25% / [[288, 58, 5], [55, 190, 25], [8, 31, 140]], * Val accuracy / confusion: 56.92% / [[158, 57, 15], [66, 85, 24], [19, 43, 53]] ------------------------------ Epoch 1801 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.414096 - Iter 024 / 025, Loss: 0.639950 * Train accuracy / confusion: 75.75% / [[298, 41, 13], [61, 177, 34], [12, 33, 131]], * Val accuracy / confusion: 57.31% / [[156, 53, 21], [66, 83, 26], [21, 35, 59]] ------------------------------ Epoch 1802 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.570718 - Iter 024 / 025, Loss: 0.305501 * Train accuracy / confusion: 79.38% / [[302, 40, 12], [51, 198, 20], [11, 31, 135]], * Val accuracy / confusion: 58.65% / [[164, 50, 16], [63, 89, 23], [21, 42, 52]] ------------------------------ Epoch 1803 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.597875 - Iter 024 / 025, Loss: 0.487665 * Train accuracy / confusion: 75.88% / [[292, 50, 13], [59, 182, 24], [13, 34, 133]], * Val accuracy / confusion: 53.85% / [[142, 69, 19], [65, 86, 24], [11, 52, 52]] ------------------------------ Epoch 1804 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.692653 - Iter 024 / 025, Loss: 0.626432 * Train accuracy / confusion: 74.25% / [[289, 59, 10], [67, 174, 24], [10, 36, 131]], * Val accuracy / confusion: 59.04% / [[162, 52, 16], [67, 86, 22], [15, 41, 59]] ------------------------------ Epoch 1805 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.385911 - Iter 024 / 025, Loss: 0.536602 * Train accuracy / confusion: 78.12% / [[300, 42, 12], [60, 189, 21], [16, 24, 136]], * Val accuracy / confusion: 60.00% / [[157, 55, 18], [52, 99, 24], [13, 46, 56]] ------------------------------ Epoch 1806 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.528071 - Iter 024 / 025, Loss: 0.530333 * Train accuracy / confusion: 76.00% / [[297, 46, 10], [54, 189, 28], [18, 36, 122]], * Val accuracy / confusion: 59.23% / [[158, 59, 13], [65, 91, 19], [15, 41, 59]] ------------------------------ Epoch 1807 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.559320 - Iter 024 / 025, Loss: 0.315415 * Train accuracy / confusion: 78.75% / [[312, 38, 4], [57, 189, 23], [16, 32, 129]], * Val accuracy / confusion: 59.23% / [[166, 50, 14], [62, 89, 24], [22, 40, 53]] ------------------------------ Epoch 1808 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.536316 - Iter 024 / 025, Loss: 0.396970 * Train accuracy / confusion: 75.12% / [[302, 36, 17], [65, 175, 27], [15, 39, 124]], * Val accuracy / confusion: 56.54% / [[152, 64, 14], [70, 82, 23], [17, 38, 60]] ------------------------------ Epoch 1809 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.334990 - Iter 024 / 025, Loss: 0.557876 * Train accuracy / confusion: 76.12% / [[305, 41, 13], [60, 182, 26], [17, 34, 122]], * Val accuracy / confusion: 55.38% / [[146, 67, 17], [61, 88, 26], [19, 42, 54]] ------------------------------ Epoch 1810 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.494611 - Iter 024 / 025, Loss: 0.665431 * Train accuracy / confusion: 76.50% / [[299, 45, 12], [55, 184, 29], [18, 29, 129]], * Val accuracy / confusion: 58.08% / [[153, 60, 17], [68, 85, 22], [14, 37, 64]] ------------------------------ Epoch 1811 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.644135 - Iter 024 / 025, Loss: 0.501620 * Train accuracy / confusion: 75.62% / [[294, 45, 15], [65, 177, 25], [12, 33, 134]], * Val accuracy / confusion: 56.73% / [[155, 54, 21], [64, 87, 24], [13, 49, 53]] ------------------------------ Epoch 1812 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.471300 - Iter 024 / 025, Loss: 0.573336 * Train accuracy / confusion: 74.25% / [[281, 56, 16], [68, 178, 26], [7, 33, 135]], * Val accuracy / confusion: 58.27% / [[164, 49, 17], [60, 89, 26], [19, 46, 50]] ------------------------------ Epoch 1813 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.469858 - Iter 024 / 025, Loss: 0.586909 * Train accuracy / confusion: 78.12% / [[306, 38, 6], [58, 187, 24], [19, 30, 132]], * Val accuracy / confusion: 54.62% / [[155, 63, 12], [72, 82, 21], [19, 49, 47]] ------------------------------ Epoch 1814 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.330905 - Iter 024 / 025, Loss: 0.440364 * Train accuracy / confusion: 77.00% / [[298, 52, 7], [62, 182, 22], [8, 33, 136]], * Val accuracy / confusion: 56.35% / [[152, 59, 19], [68, 85, 22], [16, 43, 56]] ------------------------------ Epoch 1815 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.546898 - Iter 024 / 025, Loss: 0.410007 * Train accuracy / confusion: 77.88% / [[301, 49, 9], [55, 189, 23], [18, 23, 133]], * Val accuracy / confusion: 57.69% / [[159, 56, 15], [62, 83, 30], [19, 38, 58]] ------------------------------ Epoch 1816 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.598656 - Iter 024 / 025, Loss: 0.610942 * Train accuracy / confusion: 75.62% / [[296, 49, 11], [66, 177, 24], [14, 31, 132]], * Val accuracy / confusion: 59.62% / [[159, 53, 18], [58, 93, 24], [13, 44, 58]] ------------------------------ Epoch 1817 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.585506 - Iter 024 / 025, Loss: 0.475552 * Train accuracy / confusion: 74.75% / [[296, 49, 8], [64, 177, 29], [15, 37, 125]], * Val accuracy / confusion: 57.50% / [[144, 61, 25], [54, 93, 28], [12, 41, 62]] ------------------------------ Epoch 1818 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.487979 - Iter 024 / 025, Loss: 0.525567 * Train accuracy / confusion: 78.38% / [[297, 45, 16], [62, 187, 13], [10, 27, 143]], * Val accuracy / confusion: 56.92% / [[153, 56, 21], [61, 87, 27], [16, 43, 56]] ------------------------------ Epoch 1819 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.757915 - Iter 024 / 025, Loss: 0.601916 * Train accuracy / confusion: 73.88% / [[295, 53, 8], [80, 169, 21], [17, 30, 127]], * Val accuracy / confusion: 56.15% / [[158, 56, 16], [62, 85, 28], [15, 51, 49]] ------------------------------ Epoch 1820 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.525817 - Iter 024 / 025, Loss: 0.414312 * Train accuracy / confusion: 75.25% / [[295, 54, 9], [62, 179, 25], [15, 33, 128]], * Val accuracy / confusion: 57.88% / [[154, 55, 21], [55, 93, 27], [18, 43, 54]] ------------------------------ Epoch 1821 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.491069 - Iter 024 / 025, Loss: 0.597208 * Train accuracy / confusion: 78.62% / [[298, 45, 13], [60, 190, 18], [11, 24, 141]], * Val accuracy / confusion: 57.12% / [[164, 53, 13], [74, 77, 24], [19, 40, 56]] ------------------------------ Epoch 1822 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.508724 - Iter 024 / 025, Loss: 0.556635 * Train accuracy / confusion: 77.50% / [[319, 36, 7], [66, 178, 23], [10, 38, 123]], * Val accuracy / confusion: 58.08% / [[161, 57, 12], [62, 86, 27], [17, 43, 55]] ------------------------------ Epoch 1823 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.738229 - Iter 024 / 025, Loss: 0.578488 * Train accuracy / confusion: 77.62% / [[312, 39, 5], [60, 176, 30], [14, 31, 133]], * Val accuracy / confusion: 60.38% / [[157, 60, 13], [61, 91, 23], [14, 35, 66]] ------------------------------ Epoch 1824 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.453105 - Iter 024 / 025, Loss: 0.585265 * Train accuracy / confusion: 76.25% / [[295, 42, 17], [66, 183, 20], [13, 32, 132]], * Val accuracy / confusion: 57.69% / [[156, 57, 17], [58, 89, 28], [16, 44, 55]] ------------------------------ Epoch 1825 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.538712 - Iter 024 / 025, Loss: 0.528542 * Train accuracy / confusion: 75.50% / [[301, 42, 12], [68, 176, 27], [16, 31, 127]], * Val accuracy / confusion: 60.19% / [[158, 56, 16], [59, 97, 19], [19, 38, 58]] ------------------------------ Epoch 1826 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.735804 - Iter 024 / 025, Loss: 0.703540 * Train accuracy / confusion: 77.75% / [[303, 37, 14], [65, 180, 27], [12, 23, 139]], * Val accuracy / confusion: 57.88% / [[150, 65, 15], [59, 90, 26], [19, 35, 61]] ------------------------------ Epoch 1827 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.589847 - Iter 024 / 025, Loss: 0.655946 * Train accuracy / confusion: 76.00% / [[291, 50, 16], [69, 182, 18], [10, 29, 135]], * Val accuracy / confusion: 58.65% / [[154, 58, 18], [57, 94, 24], [19, 39, 57]] ------------------------------ Epoch 1828 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.527443 - Iter 024 / 025, Loss: 0.461760 * Train accuracy / confusion: 77.00% / [[310, 42, 5], [63, 182, 22], [17, 35, 124]], * Val accuracy / confusion: 57.69% / [[152, 64, 14], [67, 89, 19], [13, 43, 59]] ------------------------------ Epoch 1829 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.656922 - Iter 024 / 025, Loss: 0.442522 * Train accuracy / confusion: 76.25% / [[299, 51, 10], [69, 180, 17], [7, 36, 131]], * Val accuracy / confusion: 58.27% / [[161, 59, 10], [57, 88, 30], [19, 42, 54]] ------------------------------ Epoch 1830 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.637894 - Iter 024 / 025, Loss: 0.527866 * Train accuracy / confusion: 76.75% / [[303, 47, 7], [62, 178, 23], [11, 36, 133]], * Val accuracy / confusion: 59.04% / [[157, 55, 18], [55, 91, 29], [15, 41, 59]] ------------------------------ Epoch 1831 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.469481 - Iter 024 / 025, Loss: 0.550056 * Train accuracy / confusion: 76.62% / [[298, 51, 8], [65, 183, 19], [10, 34, 132]], * Val accuracy / confusion: 58.08% / [[163, 47, 20], [56, 87, 32], [18, 45, 52]] ------------------------------ Epoch 1832 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.550504 - Iter 024 / 025, Loss: 0.521883 * Train accuracy / confusion: 75.75% / [[301, 47, 10], [61, 179, 28], [11, 37, 126]], * Val accuracy / confusion: 57.31% / [[157, 56, 17], [59, 88, 28], [20, 42, 53]] ------------------------------ Epoch 1833 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.473960 - Iter 024 / 025, Loss: 0.369003 * Train accuracy / confusion: 75.38% / [[297, 45, 11], [69, 177, 25], [9, 38, 129]], * Val accuracy / confusion: 57.50% / [[155, 59, 16], [64, 90, 21], [20, 41, 54]] ------------------------------ Epoch 1834 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.613959 - Iter 024 / 025, Loss: 0.576606 * Train accuracy / confusion: 77.88% / [[309, 40, 7], [61, 185, 23], [6, 40, 129]], * Val accuracy / confusion: 58.46% / [[157, 57, 16], [65, 89, 21], [16, 41, 58]] ------------------------------ Epoch 1835 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.494894 - Iter 024 / 025, Loss: 0.375655 * Train accuracy / confusion: 76.38% / [[297, 44, 12], [63, 183, 23], [10, 37, 131]], * Val accuracy / confusion: 56.54% / [[148, 59, 23], [58, 90, 27], [20, 39, 56]] ------------------------------ Epoch 1836 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.683842 - Iter 024 / 025, Loss: 0.359241 * Train accuracy / confusion: 74.62% / [[293, 48, 15], [75, 172, 22], [15, 28, 132]], * Val accuracy / confusion: 54.04% / [[150, 62, 18], [78, 74, 23], [21, 37, 57]] ------------------------------ Epoch 1837 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.447866 - Iter 024 / 025, Loss: 0.486447 * Train accuracy / confusion: 75.75% / [[297, 49, 13], [58, 176, 31], [11, 32, 133]], * Val accuracy / confusion: 57.12% / [[159, 56, 15], [65, 85, 25], [17, 45, 53]] ------------------------------ Epoch 1838 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.444479 - Iter 024 / 025, Loss: 0.358811 * Train accuracy / confusion: 79.00% / [[304, 42, 7], [67, 183, 20], [7, 25, 145]], * Val accuracy / confusion: 58.08% / [[155, 57, 18], [64, 89, 22], [12, 45, 58]] ------------------------------ Epoch 1839 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.635629 - Iter 024 / 025, Loss: 0.621209 * Train accuracy / confusion: 79.00% / [[308, 40, 12], [51, 195, 22], [13, 30, 129]], * Val accuracy / confusion: 56.35% / [[154, 56, 20], [60, 84, 31], [19, 41, 55]] ------------------------------ Epoch 1840 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.668670 - Iter 024 / 025, Loss: 0.417311 * Train accuracy / confusion: 74.88% / [[296, 52, 12], [66, 169, 32], [10, 29, 134]], * Val accuracy / confusion: 58.46% / [[158, 57, 15], [56, 91, 28], [20, 40, 55]] ------------------------------ Epoch 1841 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.356361 - Iter 024 / 025, Loss: 0.815022 * Train accuracy / confusion: 76.62% / [[296, 48, 13], [55, 187, 21], [16, 34, 130]], * Val accuracy / confusion: 56.15% / [[155, 56, 19], [67, 83, 25], [24, 37, 54]] ------------------------------ Epoch 1842 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.634173 - Iter 024 / 025, Loss: 0.505578 * Train accuracy / confusion: 76.88% / [[305, 45, 8], [66, 181, 18], [15, 33, 129]], * Val accuracy / confusion: 55.96% / [[155, 65, 10], [60, 86, 29], [18, 47, 50]] ------------------------------ Epoch 1843 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.656262 - Iter 024 / 025, Loss: 0.547426 * Train accuracy / confusion: 76.12% / [[293, 43, 14], [70, 180, 20], [9, 35, 136]], * Val accuracy / confusion: 58.65% / [[151, 60, 19], [64, 90, 21], [18, 33, 64]] ------------------------------ Epoch 1844 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.586065 - Iter 024 / 025, Loss: 0.577664 * Train accuracy / confusion: 76.50% / [[306, 40, 8], [65, 180, 26], [10, 39, 126]], * Val accuracy / confusion: 57.31% / [[152, 50, 28], [56, 94, 25], [13, 50, 52]] ------------------------------ Epoch 1845 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.643745 - Iter 024 / 025, Loss: 0.603317 * Train accuracy / confusion: 76.50% / [[289, 53, 12], [66, 188, 15], [17, 25, 135]], * Val accuracy / confusion: 59.62% / [[161, 53, 16], [71, 90, 14], [20, 36, 59]] ------------------------------ Epoch 1846 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.463689 - Iter 024 / 025, Loss: 0.519920 * Train accuracy / confusion: 77.75% / [[308, 40, 9], [57, 180, 32], [10, 30, 134]], * Val accuracy / confusion: 55.19% / [[151, 69, 10], [67, 77, 31], [14, 42, 59]] ------------------------------ Epoch 1847 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.534482 - Iter 024 / 025, Loss: 0.993950 * Train accuracy / confusion: 75.50% / [[300, 49, 9], [69, 172, 23], [18, 28, 132]], * Val accuracy / confusion: 59.42% / [[160, 48, 22], [64, 86, 25], [16, 36, 63]] ------------------------------ Epoch 1848 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.663783 - Iter 024 / 025, Loss: 0.509321 * Train accuracy / confusion: 74.50% / [[290, 61, 6], [60, 182, 27], [10, 40, 124]], * Val accuracy / confusion: 57.50% / [[160, 56, 14], [64, 85, 26], [18, 43, 54]] ------------------------------ Epoch 1849 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.428264 - Iter 024 / 025, Loss: 0.739395 * Train accuracy / confusion: 75.25% / [[295, 53, 7], [65, 180, 23], [13, 37, 127]], * Val accuracy / confusion: 58.08% / [[157, 57, 16], [61, 89, 25], [13, 46, 56]] ------------------------------ Epoch 1850 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.771123 - Iter 024 / 025, Loss: 0.452852 * Train accuracy / confusion: 76.38% / [[299, 41, 17], [63, 182, 21], [14, 33, 130]], * Val accuracy / confusion: 60.00% / [[162, 56, 12], [66, 85, 24], [18, 32, 65]] ------------------------------ Epoch 1851 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.396800 - Iter 024 / 025, Loss: 0.570067 * Train accuracy / confusion: 78.75% / [[312, 41, 4], [48, 190, 29], [13, 35, 128]], * Val accuracy / confusion: 55.96% / [[160, 51, 19], [64, 80, 31], [14, 50, 51]] ------------------------------ Epoch 1852 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.556987 - Iter 024 / 025, Loss: 0.626319 * Train accuracy / confusion: 75.12% / [[295, 52, 10], [70, 174, 25], [7, 35, 132]], * Val accuracy / confusion: 59.23% / [[159, 55, 16], [57, 95, 23], [20, 41, 54]] ------------------------------ Epoch 1853 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.531206 - Iter 024 / 025, Loss: 0.494153 * Train accuracy / confusion: 75.38% / [[306, 43, 4], [73, 166, 32], [17, 28, 131]], * Val accuracy / confusion: 59.23% / [[154, 52, 24], [52, 104, 19], [23, 42, 50]] ------------------------------ Epoch 1854 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.679751 - Iter 024 / 025, Loss: 0.837924 * Train accuracy / confusion: 77.38% / [[292, 48, 12], [55, 194, 20], [19, 27, 133]], * Val accuracy / confusion: 59.04% / [[158, 57, 15], [58, 98, 19], [21, 43, 51]] ------------------------------ Epoch 1855 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.474717 - Iter 024 / 025, Loss: 0.645695 * Train accuracy / confusion: 76.75% / [[301, 42, 12], [54, 187, 27], [21, 30, 126]], * Val accuracy / confusion: 57.88% / [[155, 55, 20], [65, 88, 22], [20, 37, 58]] ------------------------------ Epoch 1856 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.547471 - Iter 024 / 025, Loss: 0.397077 * Train accuracy / confusion: 76.50% / [[305, 43, 10], [64, 183, 19], [15, 37, 124]], * Val accuracy / confusion: 57.69% / [[152, 60, 18], [59, 84, 32], [17, 34, 64]] ------------------------------ Epoch 1857 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.617141 - Iter 024 / 025, Loss: 0.426184 * Train accuracy / confusion: 76.12% / [[296, 54, 9], [61, 187, 20], [17, 30, 126]], * Val accuracy / confusion: 58.46% / [[158, 58, 14], [64, 86, 25], [22, 33, 60]] ------------------------------ Epoch 1858 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.521853 - Iter 024 / 025, Loss: 0.573891 * Train accuracy / confusion: 78.00% / [[299, 48, 9], [59, 190, 19], [10, 31, 135]], * Val accuracy / confusion: 57.69% / [[160, 56, 14], [67, 84, 24], [19, 40, 56]] ------------------------------ Epoch 1859 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.465363 - Iter 024 / 025, Loss: 0.558631 * Train accuracy / confusion: 78.12% / [[306, 43, 9], [56, 184, 25], [9, 33, 135]], * Val accuracy / confusion: 56.35% / [[148, 65, 17], [54, 92, 29], [18, 44, 53]] ------------------------------ Epoch 1860 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.742212 - Iter 024 / 025, Loss: 0.508796 * Train accuracy / confusion: 75.38% / [[290, 55, 14], [65, 184, 20], [14, 29, 129]], * Val accuracy / confusion: 56.15% / [[148, 62, 20], [65, 91, 19], [20, 42, 53]] ------------------------------ Epoch 1861 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.364401 - Iter 024 / 025, Loss: 0.610773 * Train accuracy / confusion: 75.75% / [[294, 43, 17], [72, 185, 14], [16, 32, 127]], * Val accuracy / confusion: 58.08% / [[170, 55, 5], [71, 80, 24], [19, 44, 52]] ------------------------------ Epoch 1862 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.575832 - Iter 024 / 025, Loss: 0.638237 * Train accuracy / confusion: 78.75% / [[307, 38, 9], [57, 192, 19], [13, 34, 131]], * Val accuracy / confusion: 58.27% / [[162, 49, 19], [61, 86, 28], [18, 42, 55]] ------------------------------ Epoch 1863 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.459467 - Iter 024 / 025, Loss: 0.420925 * Train accuracy / confusion: 76.88% / [[301, 43, 11], [67, 177, 24], [10, 30, 137]], * Val accuracy / confusion: 56.15% / [[150, 62, 18], [62, 88, 25], [19, 42, 54]] ------------------------------ Epoch 1864 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.558675 - Iter 024 / 025, Loss: 0.291888 * Train accuracy / confusion: 78.25% / [[303, 41, 12], [60, 183, 24], [13, 24, 140]], * Val accuracy / confusion: 57.69% / [[154, 58, 18], [64, 90, 21], [14, 45, 56]] ------------------------------ Epoch 1865 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.533948 - Iter 024 / 025, Loss: 0.548072 * Train accuracy / confusion: 77.75% / [[296, 50, 12], [61, 187, 17], [12, 26, 139]], * Val accuracy / confusion: 60.58% / [[169, 52, 9], [60, 88, 27], [18, 39, 58]] ------------------------------ Epoch 1866 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.644777 - Iter 024 / 025, Loss: 0.658654 * Train accuracy / confusion: 75.25% / [[298, 51, 6], [66, 176, 28], [17, 30, 128]], * Val accuracy / confusion: 57.69% / [[159, 50, 21], [62, 86, 27], [18, 42, 55]] ------------------------------ Epoch 1867 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.393434 - Iter 024 / 025, Loss: 0.549502 * Train accuracy / confusion: 78.75% / [[303, 41, 10], [62, 188, 18], [12, 27, 139]], * Val accuracy / confusion: 57.31% / [[156, 55, 19], [64, 88, 23], [17, 44, 54]] ------------------------------ Epoch 1868 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.715892 - Iter 024 / 025, Loss: 0.682664 * Train accuracy / confusion: 74.25% / [[297, 47, 13], [69, 173, 28], [12, 37, 124]], * Val accuracy / confusion: 59.23% / [[159, 55, 16], [65, 87, 23], [20, 33, 62]] ------------------------------ Epoch 1869 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.789006 - Iter 024 / 025, Loss: 0.456409 * Train accuracy / confusion: 76.75% / [[303, 40, 14], [61, 184, 23], [15, 33, 127]], * Val accuracy / confusion: 59.81% / [[160, 55, 15], [63, 90, 22], [16, 38, 61]] ------------------------------ Epoch 1870 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.478673 - Iter 024 / 025, Loss: 0.540544 * Train accuracy / confusion: 76.12% / [[301, 48, 8], [59, 183, 25], [16, 35, 125]], * Val accuracy / confusion: 56.92% / [[158, 55, 17], [62, 86, 27], [17, 46, 52]] ------------------------------ Epoch 1871 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.573405 - Iter 024 / 025, Loss: 0.682767 * Train accuracy / confusion: 76.75% / [[294, 54, 10], [59, 189, 22], [16, 25, 131]], * Val accuracy / confusion: 56.54% / [[160, 56, 14], [64, 77, 34], [14, 44, 57]] ------------------------------ Epoch 1872 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.665936 - Iter 024 / 025, Loss: 0.499016 * Train accuracy / confusion: 76.00% / [[309, 46, 9], [65, 176, 24], [13, 35, 123]], * Val accuracy / confusion: 57.12% / [[155, 55, 20], [63, 86, 26], [16, 43, 56]] ------------------------------ Epoch 1873 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.555334 - Iter 024 / 025, Loss: 0.727716 * Train accuracy / confusion: 79.75% / [[313, 38, 7], [59, 179, 28], [6, 24, 146]], * Val accuracy / confusion: 57.69% / [[155, 57, 18], [55, 89, 31], [17, 42, 56]] ------------------------------ Epoch 1874 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.470509 - Iter 024 / 025, Loss: 0.493710 * Train accuracy / confusion: 77.00% / [[296, 46, 13], [58, 187, 22], [15, 30, 133]], * Val accuracy / confusion: 56.92% / [[152, 60, 18], [59, 94, 22], [16, 49, 50]] ------------------------------ Epoch 1875 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.606833 - Iter 024 / 025, Loss: 0.825011 * Train accuracy / confusion: 76.50% / [[297, 46, 11], [70, 177, 21], [11, 29, 138]], * Val accuracy / confusion: 59.81% / [[169, 49, 12], [59, 93, 23], [17, 49, 49]] ------------------------------ Epoch 1876 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.651901 - Iter 024 / 025, Loss: 0.561647 * Train accuracy / confusion: 75.75% / [[292, 48, 12], [61, 185, 24], [14, 35, 129]], * Val accuracy / confusion: 60.58% / [[159, 58, 13], [56, 101, 18], [20, 40, 55]] ------------------------------ Epoch 1877 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.576487 - Iter 024 / 025, Loss: 0.618564 * Train accuracy / confusion: 76.50% / [[301, 43, 9], [58, 182, 26], [14, 38, 129]], * Val accuracy / confusion: 62.12% / [[159, 57, 14], [57, 102, 16], [22, 31, 62]] ------------------------------ Epoch 1878 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.545566 - Iter 024 / 025, Loss: 0.906414 * Train accuracy / confusion: 74.62% / [[291, 56, 12], [69, 172, 26], [13, 27, 134]], * Val accuracy / confusion: 56.73% / [[154, 59, 17], [60, 90, 25], [17, 47, 51]] ------------------------------ Epoch 1879 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.537504 - Iter 024 / 025, Loss: 0.558309 * Train accuracy / confusion: 78.00% / [[307, 40, 11], [57, 183, 25], [15, 28, 134]], * Val accuracy / confusion: 55.96% / [[153, 59, 18], [69, 81, 25], [17, 41, 57]] ------------------------------ Epoch 1880 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.823116 - Iter 024 / 025, Loss: 0.567383 * Train accuracy / confusion: 74.88% / [[297, 52, 7], [72, 174, 19], [13, 38, 128]], * Val accuracy / confusion: 57.31% / [[159, 56, 15], [70, 84, 21], [18, 42, 55]] ------------------------------ Epoch 1881 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.398125 - Iter 024 / 025, Loss: 0.531019 * Train accuracy / confusion: 76.38% / [[299, 48, 8], [65, 182, 21], [13, 34, 130]], * Val accuracy / confusion: 55.96% / [[151, 68, 11], [67, 90, 18], [18, 47, 50]] ------------------------------ Epoch 1882 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.600325 - Iter 024 / 025, Loss: 0.658078 * Train accuracy / confusion: 76.12% / [[295, 50, 7], [68, 179, 24], [7, 35, 135]], * Val accuracy / confusion: 57.50% / [[156, 58, 16], [61, 88, 26], [21, 39, 55]] ------------------------------ Epoch 1883 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.525509 - Iter 024 / 025, Loss: 0.440540 * Train accuracy / confusion: 78.50% / [[302, 48, 7], [51, 187, 27], [15, 24, 139]], * Val accuracy / confusion: 58.85% / [[162, 57, 11], [67, 86, 22], [19, 38, 58]] ------------------------------ Epoch 1884 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.477843 - Iter 024 / 025, Loss: 0.494044 * Train accuracy / confusion: 77.00% / [[295, 51, 11], [56, 185, 24], [15, 27, 136]], * Val accuracy / confusion: 58.27% / [[155, 57, 18], [57, 95, 23], [17, 45, 53]] ------------------------------ Epoch 1885 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.589050 - Iter 024 / 025, Loss: 0.661333 * Train accuracy / confusion: 76.62% / [[300, 45, 13], [60, 180, 23], [12, 34, 133]], * Val accuracy / confusion: 56.15% / [[164, 49, 17], [67, 78, 30], [16, 49, 50]] ------------------------------ Epoch 1886 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.607475 - Iter 024 / 025, Loss: 0.416858 * Train accuracy / confusion: 75.75% / [[296, 42, 14], [59, 188, 24], [16, 39, 122]], * Val accuracy / confusion: 56.73% / [[150, 66, 14], [60, 90, 25], [19, 41, 55]] ------------------------------ Epoch 1887 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.549618 - Iter 024 / 025, Loss: 0.485344 * Train accuracy / confusion: 74.25% / [[291, 54, 14], [66, 177, 24], [13, 35, 126]], * Val accuracy / confusion: 56.35% / [[155, 56, 19], [67, 83, 25], [22, 38, 55]] ------------------------------ Epoch 1888 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.573809 - Iter 024 / 025, Loss: 0.391517 * Train accuracy / confusion: 76.12% / [[309, 44, 6], [67, 171, 30], [7, 37, 129]], * Val accuracy / confusion: 57.12% / [[148, 64, 18], [62, 88, 25], [18, 36, 61]] ------------------------------ Epoch 1889 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.534550 - Iter 024 / 025, Loss: 0.544511 * Train accuracy / confusion: 75.88% / [[290, 53, 16], [56, 188, 24], [14, 30, 129]], * Val accuracy / confusion: 59.42% / [[167, 49, 14], [67, 79, 29], [17, 35, 63]] ------------------------------ Epoch 1890 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.455399 - Iter 024 / 025, Loss: 0.365929 * Train accuracy / confusion: 78.75% / [[299, 47, 7], [58, 192, 25], [12, 21, 139]], * Val accuracy / confusion: 56.54% / [[158, 54, 18], [69, 80, 26], [18, 41, 56]] ------------------------------ Epoch 1891 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.505032 - Iter 024 / 025, Loss: 0.668568 * Train accuracy / confusion: 77.12% / [[302, 46, 8], [67, 179, 22], [14, 26, 136]], * Val accuracy / confusion: 57.12% / [[166, 50, 14], [68, 84, 23], [19, 49, 47]] ------------------------------ Epoch 1892 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.629358 - Iter 024 / 025, Loss: 0.493713 * Train accuracy / confusion: 78.00% / [[305, 49, 6], [61, 183, 21], [15, 24, 136]], * Val accuracy / confusion: 57.69% / [[165, 54, 11], [64, 83, 28], [19, 44, 52]] ------------------------------ Epoch 1893 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.377750 - Iter 024 / 025, Loss: 0.381003 * Train accuracy / confusion: 77.25% / [[292, 51, 11], [65, 189, 15], [19, 21, 137]], * Val accuracy / confusion: 56.35% / [[155, 56, 19], [68, 88, 19], [14, 51, 50]] ------------------------------ Epoch 1894 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.672725 - Iter 024 / 025, Loss: 0.754015 * Train accuracy / confusion: 75.75% / [[297, 47, 17], [60, 180, 22], [6, 42, 129]], * Val accuracy / confusion: 57.50% / [[155, 64, 11], [62, 92, 21], [15, 48, 52]] ------------------------------ Epoch 1895 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.417852 - Iter 024 / 025, Loss: 0.506044 * Train accuracy / confusion: 74.25% / [[286, 60, 11], [65, 177, 27], [15, 28, 131]], * Val accuracy / confusion: 53.65% / [[149, 61, 20], [69, 81, 25], [18, 48, 49]] ------------------------------ Epoch 1896 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.464381 - Iter 024 / 025, Loss: 0.534487 * Train accuracy / confusion: 76.38% / [[297, 46, 11], [85, 172, 9], [13, 25, 142]], * Val accuracy / confusion: 59.62% / [[167, 46, 17], [66, 81, 28], [19, 34, 62]] ------------------------------ Epoch 1897 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.440091 - Iter 024 / 025, Loss: 0.503447 * Train accuracy / confusion: 78.88% / [[305, 43, 10], [66, 185, 17], [6, 27, 141]], * Val accuracy / confusion: 57.31% / [[162, 54, 14], [70, 85, 20], [18, 46, 51]] ------------------------------ Epoch 1898 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.456412 - Iter 024 / 025, Loss: 0.371057 * Train accuracy / confusion: 76.75% / [[303, 48, 7], [56, 182, 28], [11, 36, 129]], * Val accuracy / confusion: 58.08% / [[168, 49, 13], [67, 77, 31], [21, 37, 57]] ------------------------------ Epoch 1899 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.644337 - Iter 024 / 025, Loss: 0.742006 * Train accuracy / confusion: 75.75% / [[286, 56, 12], [66, 184, 19], [14, 27, 136]], * Val accuracy / confusion: 57.69% / [[160, 58, 12], [62, 89, 24], [19, 45, 51]] ------------------------------ Epoch 1900 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.411633 - Iter 024 / 025, Loss: 0.584197 * Train accuracy / confusion: 76.25% / [[290, 59, 9], [61, 183, 22], [12, 27, 137]], * Val accuracy / confusion: 57.69% / [[152, 59, 19], [51, 90, 34], [17, 40, 58]] ------------------------------ Epoch 1901 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.591509 - Iter 024 / 025, Loss: 0.614912 * Train accuracy / confusion: 76.12% / [[302, 45, 11], [61, 182, 27], [12, 35, 125]], * Val accuracy / confusion: 55.00% / [[150, 68, 12], [61, 94, 20], [15, 58, 42]] ------------------------------ Epoch 1902 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.434440 - Iter 024 / 025, Loss: 0.668226 * Train accuracy / confusion: 75.88% / [[303, 40, 14], [65, 172, 30], [12, 32, 132]], * Val accuracy / confusion: 56.92% / [[155, 53, 22], [58, 88, 29], [16, 46, 53]] ------------------------------ Epoch 1903 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.671776 - Iter 024 / 025, Loss: 0.607053 * Train accuracy / confusion: 76.62% / [[296, 47, 15], [59, 182, 27], [10, 29, 135]], * Val accuracy / confusion: 57.31% / [[157, 65, 8], [57, 88, 30], [17, 45, 53]] ------------------------------ Epoch 1904 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.701879 - Iter 024 / 025, Loss: 0.612273 * Train accuracy / confusion: 76.25% / [[294, 51, 11], [62, 182, 24], [14, 28, 134]], * Val accuracy / confusion: 59.04% / [[152, 67, 11], [47, 100, 28], [20, 40, 55]] ------------------------------ Epoch 1905 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.495742 - Iter 024 / 025, Loss: 0.711115 * Train accuracy / confusion: 76.38% / [[292, 52, 9], [66, 176, 25], [15, 22, 143]], * Val accuracy / confusion: 58.85% / [[152, 62, 16], [61, 93, 21], [14, 40, 61]] ------------------------------ Epoch 1906 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.730549 - Iter 024 / 025, Loss: 0.577060 * Train accuracy / confusion: 77.50% / [[299, 50, 5], [61, 184, 22], [15, 27, 137]], * Val accuracy / confusion: 57.12% / [[154, 60, 16], [62, 91, 22], [17, 46, 52]] ------------------------------ Epoch 1907 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.653054 - Iter 024 / 025, Loss: 0.606577 * Train accuracy / confusion: 73.12% / [[296, 50, 12], [74, 167, 28], [16, 35, 122]], * Val accuracy / confusion: 55.19% / [[155, 56, 19], [64, 74, 37], [18, 39, 58]] ------------------------------ Epoch 1908 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.518476 - Iter 024 / 025, Loss: 0.509724 * Train accuracy / confusion: 75.88% / [[308, 41, 11], [62, 174, 28], [21, 30, 125]], * Val accuracy / confusion: 56.73% / [[161, 55, 14], [72, 82, 21], [12, 51, 52]] ------------------------------ Epoch 1909 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.528198 - Iter 024 / 025, Loss: 0.445746 * Train accuracy / confusion: 73.75% / [[287, 52, 16], [66, 177, 23], [18, 35, 126]], * Val accuracy / confusion: 57.69% / [[155, 53, 22], [62, 89, 24], [18, 41, 56]] ------------------------------ Epoch 1910 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.537969 - Iter 024 / 025, Loss: 0.269373 * Train accuracy / confusion: 77.12% / [[291, 61, 8], [50, 192, 23], [9, 32, 134]], * Val accuracy / confusion: 55.96% / [[153, 59, 18], [66, 83, 26], [12, 48, 55]] ------------------------------ Epoch 1911 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.632970 - Iter 024 / 025, Loss: 0.816005 * Train accuracy / confusion: 75.00% / [[298, 46, 10], [64, 174, 28], [17, 35, 128]], * Val accuracy / confusion: 58.08% / [[163, 53, 14], [67, 83, 25], [19, 40, 56]] ------------------------------ Epoch 1912 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.475029 - Iter 024 / 025, Loss: 0.567422 * Train accuracy / confusion: 75.38% / [[299, 43, 15], [68, 179, 23], [13, 35, 125]], * Val accuracy / confusion: 60.19% / [[163, 54, 13], [62, 85, 28], [18, 32, 65]] ------------------------------ Epoch 1913 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.435250 - Iter 024 / 025, Loss: 0.553450 * Train accuracy / confusion: 78.88% / [[306, 41, 12], [55, 193, 20], [12, 29, 132]], * Val accuracy / confusion: 55.38% / [[161, 53, 16], [74, 67, 34], [16, 39, 60]] ------------------------------ Epoch 1914 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.458094 - Iter 024 / 025, Loss: 0.640283 * Train accuracy / confusion: 78.75% / [[301, 52, 6], [57, 191, 21], [9, 25, 138]], * Val accuracy / confusion: 56.92% / [[151, 59, 20], [64, 87, 24], [16, 41, 58]] ------------------------------ Epoch 1915 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.492914 - Iter 024 / 025, Loss: 0.509603 * Train accuracy / confusion: 78.75% / [[310, 43, 6], [52, 185, 28], [17, 24, 135]], * Val accuracy / confusion: 61.92% / [[166, 43, 21], [54, 93, 28], [16, 36, 63]] ------------------------------ Epoch 1916 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.625145 - Iter 024 / 025, Loss: 0.452538 * Train accuracy / confusion: 76.25% / [[296, 48, 9], [64, 174, 32], [14, 23, 140]], * Val accuracy / confusion: 57.31% / [[155, 61, 14], [65, 87, 23], [19, 40, 56]] ------------------------------ Epoch 1917 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.489779 - Iter 024 / 025, Loss: 0.545568 * Train accuracy / confusion: 76.75% / [[297, 48, 14], [55, 183, 26], [13, 30, 134]], * Val accuracy / confusion: 58.46% / [[155, 51, 24], [55, 88, 32], [14, 40, 61]] ------------------------------ Epoch 1918 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.491664 - Iter 024 / 025, Loss: 0.731812 * Train accuracy / confusion: 77.12% / [[287, 55, 9], [56, 197, 17], [12, 34, 133]], * Val accuracy / confusion: 55.58% / [[155, 63, 12], [69, 75, 31], [16, 40, 59]] ------------------------------ Epoch 1919 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.477236 - Iter 024 / 025, Loss: 0.701256 * Train accuracy / confusion: 75.50% / [[305, 43, 5], [81, 165, 23], [12, 32, 134]], * Val accuracy / confusion: 59.04% / [[148, 63, 19], [58, 96, 21], [16, 36, 63]] ------------------------------ Epoch 1920 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.447100 - Iter 024 / 025, Loss: 0.542242 * Train accuracy / confusion: 75.25% / [[303, 45, 9], [66, 172, 31], [8, 39, 127]], * Val accuracy / confusion: 60.77% / [[170, 50, 10], [72, 90, 13], [13, 46, 56]] ------------------------------ Epoch 1921 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.412710 - Iter 024 / 025, Loss: 0.655405 * Train accuracy / confusion: 75.62% / [[296, 51, 9], [70, 173, 27], [15, 23, 136]], * Val accuracy / confusion: 59.23% / [[161, 52, 17], [59, 87, 29], [23, 32, 60]] ------------------------------ Epoch 1922 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.629528 - Iter 024 / 025, Loss: 0.505827 * Train accuracy / confusion: 78.12% / [[306, 41, 10], [57, 188, 24], [9, 34, 131]], * Val accuracy / confusion: 56.35% / [[143, 64, 23], [63, 93, 19], [12, 46, 57]] ------------------------------ Epoch 1923 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.661393 - Iter 024 / 025, Loss: 0.571553 * Train accuracy / confusion: 76.12% / [[295, 46, 15], [60, 182, 29], [12, 29, 132]], * Val accuracy / confusion: 56.73% / [[168, 51, 11], [63, 81, 31], [20, 49, 46]] ------------------------------ Epoch 1924 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.488009 - Iter 024 / 025, Loss: 0.523370 * Train accuracy / confusion: 77.38% / [[298, 51, 6], [59, 179, 28], [9, 28, 142]], * Val accuracy / confusion: 59.62% / [[160, 55, 15], [61, 92, 22], [18, 39, 58]] ------------------------------ Epoch 1925 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.445243 - Iter 024 / 025, Loss: 0.536520 * Train accuracy / confusion: 75.88% / [[299, 46, 15], [67, 173, 24], [12, 29, 135]], * Val accuracy / confusion: 57.12% / [[157, 55, 18], [69, 78, 28], [12, 41, 62]] ------------------------------ Epoch 1926 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.472112 - Iter 024 / 025, Loss: 0.670235 * Train accuracy / confusion: 76.50% / [[292, 53, 10], [58, 191, 19], [16, 32, 129]], * Val accuracy / confusion: 58.65% / [[162, 50, 18], [66, 87, 22], [18, 41, 56]] ------------------------------ Epoch 1927 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.496048 - Iter 024 / 025, Loss: 0.540030 * Train accuracy / confusion: 76.00% / [[298, 57, 6], [55, 182, 26], [10, 38, 128]], * Val accuracy / confusion: 57.88% / [[153, 61, 16], [61, 92, 22], [19, 40, 56]] ------------------------------ Epoch 1928 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.867065 - Iter 024 / 025, Loss: 0.460547 * Train accuracy / confusion: 78.38% / [[301, 41, 9], [60, 185, 24], [9, 30, 141]], * Val accuracy / confusion: 54.81% / [[148, 60, 22], [70, 79, 26], [14, 43, 58]] ------------------------------ Epoch 1929 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.445814 - Iter 024 / 025, Loss: 0.379399 * Train accuracy / confusion: 77.88% / [[303, 42, 7], [76, 174, 18], [9, 25, 146]], * Val accuracy / confusion: 57.12% / [[160, 53, 17], [72, 80, 23], [19, 39, 57]] ------------------------------ Epoch 1930 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.518932 - Iter 024 / 025, Loss: 0.870989 * Train accuracy / confusion: 75.00% / [[292, 52, 10], [63, 181, 26], [13, 36, 127]], * Val accuracy / confusion: 56.35% / [[156, 59, 15], [67, 84, 24], [18, 44, 53]] ------------------------------ Epoch 1931 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.513519 - Iter 024 / 025, Loss: 0.337195 * Train accuracy / confusion: 76.62% / [[304, 46, 8], [73, 176, 19], [17, 24, 133]], * Val accuracy / confusion: 57.31% / [[161, 52, 17], [61, 89, 25], [24, 43, 48]] ------------------------------ Epoch 1932 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.573347 - Iter 024 / 025, Loss: 0.616440 * Train accuracy / confusion: 77.38% / [[303, 45, 11], [60, 179, 27], [12, 26, 137]], * Val accuracy / confusion: 57.12% / [[151, 62, 17], [59, 91, 25], [20, 40, 55]] ------------------------------ Epoch 1933 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.524764 - Iter 024 / 025, Loss: 0.461098 * Train accuracy / confusion: 74.38% / [[299, 48, 9], [72, 166, 30], [11, 35, 130]], * Val accuracy / confusion: 59.62% / [[158, 60, 12], [61, 94, 20], [11, 46, 58]] ------------------------------ Epoch 1934 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.396195 - Iter 024 / 025, Loss: 0.725244 * Train accuracy / confusion: 75.50% / [[292, 49, 13], [66, 179, 22], [9, 37, 133]], * Val accuracy / confusion: 55.58% / [[144, 67, 19], [70, 89, 16], [16, 43, 56]] ------------------------------ Epoch 1935 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.619192 - Iter 024 / 025, Loss: 0.599424 * Train accuracy / confusion: 78.75% / [[300, 41, 12], [56, 193, 21], [12, 28, 137]], * Val accuracy / confusion: 59.81% / [[163, 55, 12], [69, 91, 15], [17, 41, 57]] ------------------------------ Epoch 1936 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.730520 - Iter 024 / 025, Loss: 0.387930 * Train accuracy / confusion: 79.00% / [[304, 37, 14], [61, 188, 19], [10, 27, 140]], * Val accuracy / confusion: 57.12% / [[152, 54, 24], [60, 91, 24], [18, 43, 54]] ------------------------------ Epoch 1937 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.386185 - Iter 024 / 025, Loss: 0.526775 * Train accuracy / confusion: 79.25% / [[302, 42, 9], [61, 189, 20], [11, 23, 143]], * Val accuracy / confusion: 59.81% / [[158, 56, 16], [57, 95, 23], [18, 39, 58]] ------------------------------ Epoch 1938 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.608274 - Iter 024 / 025, Loss: 0.703299 * Train accuracy / confusion: 76.12% / [[291, 49, 13], [61, 184, 26], [14, 28, 134]], * Val accuracy / confusion: 58.85% / [[163, 47, 20], [63, 91, 21], [13, 50, 52]] ------------------------------ Epoch 1939 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.593255 - Iter 024 / 025, Loss: 0.694198 * Train accuracy / confusion: 79.75% / [[308, 43, 4], [54, 190, 24], [8, 29, 140]], * Val accuracy / confusion: 58.27% / [[168, 51, 11], [67, 84, 24], [19, 45, 51]] ------------------------------ Epoch 1940 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.664104 - Iter 024 / 025, Loss: 0.579093 * Train accuracy / confusion: 75.38% / [[300, 46, 10], [69, 173, 22], [21, 29, 130]], * Val accuracy / confusion: 55.77% / [[149, 69, 12], [64, 91, 20], [17, 48, 50]] ------------------------------ Epoch 1941 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.726403 - Iter 024 / 025, Loss: 0.516324 * Train accuracy / confusion: 76.00% / [[298, 47, 10], [62, 182, 25], [15, 33, 128]], * Val accuracy / confusion: 57.12% / [[161, 54, 15], [62, 88, 25], [14, 53, 48]] ------------------------------ Epoch 1942 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.527742 - Iter 024 / 025, Loss: 0.553981 * Train accuracy / confusion: 77.38% / [[292, 46, 13], [56, 189, 24], [9, 33, 138]], * Val accuracy / confusion: 57.31% / [[155, 56, 19], [65, 86, 24], [15, 43, 57]] ------------------------------ Epoch 1943 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.489243 - Iter 024 / 025, Loss: 0.636721 * Train accuracy / confusion: 74.75% / [[291, 52, 10], [68, 176, 26], [10, 36, 131]], * Val accuracy / confusion: 57.50% / [[156, 52, 22], [64, 84, 27], [16, 40, 59]] ------------------------------ Epoch 1944 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.720736 - Iter 024 / 025, Loss: 0.534510 * Train accuracy / confusion: 78.62% / [[298, 45, 11], [52, 197, 19], [12, 32, 134]], * Val accuracy / confusion: 57.50% / [[154, 58, 18], [59, 87, 29], [16, 41, 58]] ------------------------------ Epoch 1945 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.542529 - Iter 024 / 025, Loss: 0.562607 * Train accuracy / confusion: 77.75% / [[309, 39, 10], [56, 187, 21], [15, 37, 126]], * Val accuracy / confusion: 58.27% / [[157, 57, 16], [60, 92, 23], [16, 45, 54]] ------------------------------ Epoch 1946 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.722363 - Iter 024 / 025, Loss: 0.612378 * Train accuracy / confusion: 74.50% / [[294, 50, 10], [61, 178, 35], [12, 36, 124]], * Val accuracy / confusion: 56.92% / [[148, 61, 21], [66, 90, 19], [21, 36, 58]] ------------------------------ Epoch 1947 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.489399 - Iter 024 / 025, Loss: 0.428478 * Train accuracy / confusion: 77.38% / [[298, 53, 7], [60, 186, 20], [16, 25, 135]], * Val accuracy / confusion: 62.50% / [[174, 45, 11], [62, 100, 13], [18, 46, 51]] ------------------------------ Epoch 1948 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.516432 - Iter 024 / 025, Loss: 0.517226 * Train accuracy / confusion: 76.00% / [[306, 41, 9], [66, 176, 28], [10, 38, 126]], * Val accuracy / confusion: 56.92% / [[159, 54, 17], [55, 82, 38], [16, 44, 55]] ------------------------------ Epoch 1949 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.579001 - Iter 024 / 025, Loss: 0.414797 * Train accuracy / confusion: 77.62% / [[295, 44, 12], [66, 185, 17], [15, 25, 141]], * Val accuracy / confusion: 57.12% / [[155, 57, 18], [61, 89, 25], [18, 44, 53]] ------------------------------ Epoch 1950 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.500801 - Iter 024 / 025, Loss: 0.479552 * Train accuracy / confusion: 78.75% / [[306, 40, 10], [58, 185, 24], [12, 26, 139]], * Val accuracy / confusion: 56.73% / [[149, 64, 17], [65, 89, 21], [17, 41, 57]] ------------------------------ Epoch 1951 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.312698 - Iter 024 / 025, Loss: 0.533240 * Train accuracy / confusion: 77.38% / [[294, 54, 5], [61, 189, 22], [10, 29, 136]], * Val accuracy / confusion: 59.04% / [[156, 57, 17], [68, 90, 17], [19, 35, 61]] ------------------------------ Epoch 1952 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.748837 - Iter 024 / 025, Loss: 0.509725 * Train accuracy / confusion: 77.62% / [[298, 48, 11], [53, 195, 23], [12, 32, 128]], * Val accuracy / confusion: 58.08% / [[158, 56, 16], [64, 89, 22], [13, 47, 55]] ------------------------------ Epoch 1953 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.544397 - Iter 024 / 025, Loss: 0.701793 * Train accuracy / confusion: 78.00% / [[294, 55, 13], [46, 196, 20], [12, 30, 134]], * Val accuracy / confusion: 55.38% / [[146, 64, 20], [57, 87, 31], [15, 45, 55]] ------------------------------ Epoch 1954 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.499660 - Iter 024 / 025, Loss: 0.782549 * Train accuracy / confusion: 76.62% / [[293, 52, 8], [56, 186, 28], [12, 31, 134]], * Val accuracy / confusion: 58.65% / [[157, 54, 19], [65, 91, 19], [19, 39, 57]] ------------------------------ Epoch 1955 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.498789 - Iter 024 / 025, Loss: 0.554036 * Train accuracy / confusion: 77.38% / [[309, 45, 5], [61, 179, 26], [12, 32, 131]], * Val accuracy / confusion: 57.50% / [[154, 58, 18], [66, 85, 24], [14, 41, 60]] ------------------------------ Epoch 1956 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.536076 - Iter 024 / 025, Loss: 0.547306 * Train accuracy / confusion: 78.50% / [[298, 45, 9], [52, 193, 23], [12, 31, 137]], * Val accuracy / confusion: 57.50% / [[164, 49, 17], [72, 76, 27], [19, 37, 59]] ------------------------------ Epoch 1957 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.669723 - Iter 024 / 025, Loss: 0.764775 * Train accuracy / confusion: 77.62% / [[306, 50, 6], [54, 187, 25], [14, 30, 128]], * Val accuracy / confusion: 55.96% / [[151, 56, 23], [65, 90, 20], [25, 40, 50]] ------------------------------ Epoch 1958 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.513651 - Iter 024 / 025, Loss: 0.718038 * Train accuracy / confusion: 75.62% / [[292, 57, 9], [64, 180, 20], [11, 34, 133]], * Val accuracy / confusion: 58.65% / [[160, 55, 15], [61, 91, 23], [19, 42, 54]] ------------------------------ Epoch 1959 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.519308 - Iter 024 / 025, Loss: 0.670273 * Train accuracy / confusion: 76.50% / [[304, 44, 8], [65, 179, 25], [11, 35, 129]], * Val accuracy / confusion: 57.31% / [[153, 62, 15], [61, 86, 28], [20, 36, 59]] ------------------------------ Epoch 1960 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.528976 - Iter 024 / 025, Loss: 0.360708 * Train accuracy / confusion: 75.75% / [[296, 50, 12], [61, 178, 29], [13, 29, 132]], * Val accuracy / confusion: 56.15% / [[149, 65, 16], [68, 83, 24], [17, 38, 60]] ------------------------------ Epoch 1961 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.481005 - Iter 024 / 025, Loss: 0.597444 * Train accuracy / confusion: 77.75% / [[305, 39, 13], [62, 183, 25], [9, 30, 134]], * Val accuracy / confusion: 59.04% / [[157, 56, 17], [55, 97, 23], [17, 45, 53]] ------------------------------ Epoch 1962 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.577801 - Iter 024 / 025, Loss: 0.652722 * Train accuracy / confusion: 76.25% / [[296, 49, 11], [57, 187, 23], [16, 34, 127]], * Val accuracy / confusion: 59.42% / [[159, 59, 12], [59, 93, 23], [16, 42, 57]] ------------------------------ Epoch 1963 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.739696 - Iter 024 / 025, Loss: 0.342851 * Train accuracy / confusion: 75.88% / [[290, 49, 12], [65, 185, 19], [11, 37, 132]], * Val accuracy / confusion: 55.38% / [[151, 64, 15], [62, 86, 27], [21, 43, 51]] ------------------------------ Epoch 1964 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.467512 - Iter 024 / 025, Loss: 0.432662 * Train accuracy / confusion: 78.88% / [[309, 38, 6], [60, 182, 26], [13, 26, 140]], * Val accuracy / confusion: 58.65% / [[158, 57, 15], [63, 92, 20], [20, 40, 55]] ------------------------------ Epoch 1965 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.478965 - Iter 024 / 025, Loss: 0.618341 * Train accuracy / confusion: 76.88% / [[300, 50, 6], [49, 190, 29], [21, 30, 125]], * Val accuracy / confusion: 55.77% / [[147, 70, 13], [60, 87, 28], [16, 43, 56]] ------------------------------ Epoch 1966 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.544057 - Iter 024 / 025, Loss: 0.567436 * Train accuracy / confusion: 77.62% / [[298, 51, 11], [67, 182, 16], [8, 26, 141]], * Val accuracy / confusion: 55.96% / [[151, 62, 17], [60, 87, 28], [18, 44, 53]] ------------------------------ Epoch 1967 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.521741 - Iter 024 / 025, Loss: 0.617391 * Train accuracy / confusion: 78.50% / [[300, 46, 10], [60, 186, 20], [13, 23, 142]], * Val accuracy / confusion: 57.69% / [[155, 58, 17], [61, 89, 25], [19, 40, 56]] ------------------------------ Epoch 1968 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.538683 - Iter 024 / 025, Loss: 0.744079 * Train accuracy / confusion: 78.25% / [[302, 51, 5], [58, 188, 19], [10, 31, 136]], * Val accuracy / confusion: 56.73% / [[161, 55, 14], [74, 77, 24], [21, 37, 57]] ------------------------------ Epoch 1969 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.538602 - Iter 024 / 025, Loss: 0.580560 * Train accuracy / confusion: 75.50% / [[299, 49, 12], [73, 170, 21], [14, 27, 135]], * Val accuracy / confusion: 58.65% / [[164, 53, 13], [70, 84, 21], [20, 38, 57]] ------------------------------ Epoch 1970 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.688953 - Iter 024 / 025, Loss: 0.607527 * Train accuracy / confusion: 75.38% / [[297, 47, 9], [69, 174, 25], [10, 37, 132]], * Val accuracy / confusion: 58.27% / [[161, 50, 19], [73, 76, 26], [18, 31, 66]] ------------------------------ Epoch 1971 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.459246 - Iter 024 / 025, Loss: 0.388985 * Train accuracy / confusion: 76.62% / [[303, 38, 9], [73, 177, 21], [15, 31, 133]], * Val accuracy / confusion: 60.19% / [[155, 54, 21], [58, 95, 22], [18, 34, 63]] ------------------------------ Epoch 1972 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.513922 - Iter 024 / 025, Loss: 0.506916 * Train accuracy / confusion: 75.62% / [[302, 43, 11], [65, 180, 21], [14, 41, 123]], * Val accuracy / confusion: 56.73% / [[154, 60, 16], [68, 84, 23], [14, 44, 57]] ------------------------------ Epoch 1973 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.662579 - Iter 024 / 025, Loss: 0.605959 * Train accuracy / confusion: 78.00% / [[312, 45, 8], [67, 174, 19], [10, 27, 138]], * Val accuracy / confusion: 59.62% / [[162, 56, 12], [69, 87, 19], [15, 39, 61]] ------------------------------ Epoch 1974 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.395643 - Iter 024 / 025, Loss: 0.408913 * Train accuracy / confusion: 77.75% / [[308, 41, 8], [67, 182, 21], [11, 30, 132]], * Val accuracy / confusion: 59.23% / [[154, 56, 20], [59, 95, 21], [19, 37, 59]] ------------------------------ Epoch 1975 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.367973 - Iter 024 / 025, Loss: 0.600004 * Train accuracy / confusion: 79.12% / [[315, 34, 8], [56, 181, 26], [11, 32, 137]], * Val accuracy / confusion: 58.65% / [[161, 52, 17], [56, 87, 32], [14, 44, 57]] ------------------------------ Epoch 1976 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.595031 - Iter 024 / 025, Loss: 0.401419 * Train accuracy / confusion: 75.88% / [[298, 51, 10], [71, 171, 23], [13, 25, 138]], * Val accuracy / confusion: 54.42% / [[147, 65, 18], [70, 86, 19], [18, 47, 50]] ------------------------------ Epoch 1977 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.709493 - Iter 024 / 025, Loss: 0.634552 * Train accuracy / confusion: 78.00% / [[303, 47, 6], [58, 191, 17], [13, 35, 130]], * Val accuracy / confusion: 54.04% / [[142, 76, 12], [63, 86, 26], [19, 43, 53]] ------------------------------ Epoch 1978 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.425577 - Iter 024 / 025, Loss: 0.634628 * Train accuracy / confusion: 77.00% / [[300, 43, 9], [58, 186, 26], [14, 34, 130]], * Val accuracy / confusion: 54.62% / [[148, 65, 17], [56, 84, 35], [17, 46, 52]] ------------------------------ Epoch 1979 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.816735 - Iter 024 / 025, Loss: 0.530810 * Train accuracy / confusion: 76.12% / [[299, 43, 15], [62, 181, 21], [15, 35, 129]], * Val accuracy / confusion: 58.08% / [[146, 61, 23], [56, 99, 20], [19, 39, 57]] ------------------------------ Epoch 1980 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.651134 - Iter 024 / 025, Loss: 0.693194 * Train accuracy / confusion: 77.00% / [[304, 48, 7], [58, 182, 26], [15, 30, 130]], * Val accuracy / confusion: 57.69% / [[163, 57, 10], [69, 82, 24], [14, 46, 55]] ------------------------------ Epoch 1981 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.807574 - Iter 024 / 025, Loss: 0.384402 * Train accuracy / confusion: 74.00% / [[294, 46, 14], [72, 173, 27], [16, 33, 125]], * Val accuracy / confusion: 58.85% / [[166, 50, 14], [66, 86, 23], [25, 36, 54]] ------------------------------ Epoch 1982 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.872419 - Iter 024 / 025, Loss: 0.365203 * Train accuracy / confusion: 77.38% / [[311, 36, 9], [63, 180, 22], [10, 41, 128]], * Val accuracy / confusion: 55.58% / [[148, 56, 26], [64, 88, 23], [21, 41, 53]] ------------------------------ Epoch 1983 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.428314 - Iter 024 / 025, Loss: 0.698046 * Train accuracy / confusion: 77.00% / [[297, 42, 17], [61, 183, 23], [14, 27, 136]], * Val accuracy / confusion: 60.96% / [[167, 51, 12], [72, 85, 18], [16, 34, 65]] ------------------------------ Epoch 1984 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.561139 - Iter 024 / 025, Loss: 0.565954 * Train accuracy / confusion: 78.00% / [[304, 46, 8], [57, 185, 22], [9, 34, 135]], * Val accuracy / confusion: 58.46% / [[148, 68, 14], [60, 98, 17], [17, 40, 58]] ------------------------------ Epoch 1985 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.495904 - Iter 024 / 025, Loss: 0.498462 * Train accuracy / confusion: 76.75% / [[309, 37, 9], [69, 174, 26], [11, 34, 131]], * Val accuracy / confusion: 56.73% / [[162, 53, 15], [69, 77, 29], [17, 42, 56]] ------------------------------ Epoch 1986 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.667773 - Iter 024 / 025, Loss: 0.443056 * Train accuracy / confusion: 77.38% / [[298, 48, 8], [59, 184, 26], [9, 31, 137]], * Val accuracy / confusion: 58.08% / [[156, 60, 14], [60, 94, 21], [21, 42, 52]] ------------------------------ Epoch 1987 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.586918 - Iter 024 / 025, Loss: 0.467550 * Train accuracy / confusion: 76.38% / [[293, 45, 15], [53, 183, 33], [17, 26, 135]], * Val accuracy / confusion: 56.92% / [[150, 61, 19], [65, 93, 17], [20, 42, 53]] ------------------------------ Epoch 1988 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.424791 - Iter 024 / 025, Loss: 0.607678 * Train accuracy / confusion: 76.00% / [[310, 35, 10], [64, 172, 31], [13, 39, 126]], * Val accuracy / confusion: 59.04% / [[169, 42, 19], [69, 80, 26], [17, 40, 58]] ------------------------------ Epoch 1989 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.529561 - Iter 024 / 025, Loss: 0.563005 * Train accuracy / confusion: 78.50% / [[308, 38, 13], [59, 183, 22], [11, 29, 137]], * Val accuracy / confusion: 57.31% / [[158, 61, 11], [71, 87, 17], [18, 44, 53]] ------------------------------ Epoch 1990 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.392437 - Iter 024 / 025, Loss: 0.602973 * Train accuracy / confusion: 79.88% / [[307, 37, 8], [55, 194, 21], [9, 31, 138]], * Val accuracy / confusion: 59.42% / [[155, 58, 17], [65, 89, 21], [15, 35, 65]] ------------------------------ Epoch 1991 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.443170 - Iter 024 / 025, Loss: 0.669505 * Train accuracy / confusion: 78.88% / [[305, 47, 7], [55, 183, 25], [11, 24, 143]], * Val accuracy / confusion: 59.62% / [[160, 59, 11], [66, 89, 20], [18, 36, 61]] ------------------------------ Epoch 1992 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.536910 - Iter 024 / 025, Loss: 0.389094 * Train accuracy / confusion: 76.38% / [[300, 45, 11], [61, 180, 29], [8, 35, 131]], * Val accuracy / confusion: 59.04% / [[156, 60, 14], [57, 96, 22], [18, 42, 55]] ------------------------------ Epoch 1993 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.815737 - Iter 024 / 025, Loss: 0.316385 * Train accuracy / confusion: 77.25% / [[303, 42, 8], [71, 177, 18], [12, 31, 138]], * Val accuracy / confusion: 57.50% / [[162, 52, 16], [66, 82, 27], [17, 43, 55]] ------------------------------ Epoch 1994 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.572797 - Iter 024 / 025, Loss: 0.429332 * Train accuracy / confusion: 76.38% / [[302, 37, 14], [64, 183, 25], [18, 31, 126]], * Val accuracy / confusion: 56.54% / [[154, 60, 16], [63, 85, 27], [20, 40, 55]] ------------------------------ Epoch 1995 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.458933 - Iter 024 / 025, Loss: 0.523386 * Train accuracy / confusion: 79.12% / [[309, 39, 5], [59, 188, 24], [12, 28, 136]], * Val accuracy / confusion: 57.69% / [[157, 56, 17], [64, 90, 21], [19, 43, 53]] ------------------------------ Epoch 1996 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.676997 - Iter 024 / 025, Loss: 0.655696 * Train accuracy / confusion: 79.38% / [[309, 36, 11], [61, 184, 21], [6, 30, 142]], * Val accuracy / confusion: 57.69% / [[157, 62, 11], [63, 85, 27], [13, 44, 58]] ------------------------------ Epoch 1997 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.492326 - Iter 024 / 025, Loss: 0.458488 * Train accuracy / confusion: 76.12% / [[293, 51, 12], [69, 172, 26], [8, 25, 144]], * Val accuracy / confusion: 59.04% / [[161, 55, 14], [69, 89, 17], [16, 42, 57]] ------------------------------ Epoch 1998 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.627723 - Iter 024 / 025, Loss: 0.593216 * Train accuracy / confusion: 76.88% / [[304, 50, 7], [61, 182, 21], [15, 31, 129]], * Val accuracy / confusion: 54.81% / [[155, 58, 17], [63, 86, 26], [22, 49, 44]] ------------------------------ Epoch 1999 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.465373 - Iter 024 / 025, Loss: 0.592764 * Train accuracy / confusion: 76.25% / [[299, 47, 10], [62, 176, 26], [7, 38, 135]], * Val accuracy / confusion: 57.12% / [[153, 64, 13], [64, 87, 24], [19, 39, 57]] ------------------------------ Epoch 2000 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.533430 - Iter 024 / 025, Loss: 0.653782 * Train accuracy / confusion: 76.88% / [[298, 43, 14], [58, 185, 26], [8, 36, 132]], * Val accuracy / confusion: 54.23% / [[154, 59, 17], [74, 75, 26], [22, 40, 53]] **************************************** Training Ends ****************************************
- Test accuracy (last model): 59.20% - Confusion matrix (last model): [[1053 269 88] [ 291 435 294] [ 84 247 359]]
- Test accuracy (best model): 58.11% - Confusion matrix (best model): [[1029 276 105] [ 283 443 294] [ 82 267 341]]
# checkpoint save path
if save_checkpoint:
os.makedirs('checkpoint/', exist_ok=True)
today = datetime.date.today()
torch.save(best_model_state, f'checkpoint/{today.year % 100}{today.month:02d}{today.day}_{nb_fname}_TinyCNN_best')
torch.save(last_model_state, f'checkpoint/{today.year % 100}{today.month:02d}{today.day}_{nb_fname}_TinyCNN_last')
print('- Debug table:')
pprint.pp(last_test_debug, indent=2, width=100)
- Debug table:
{ '00299': {'GT': 0, 'Acc': ' 36.67%', 'Pred': [11, 11, 8], 'edfname': '00671212_160819'},
'00854': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01138301_230114'},
'01026': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01225123_050815'},
'00176': {'GT': 0, 'Acc': ' 76.67%', 'Pred': [23, 7, 0], 'edfname': '00602435_270217'},
'00591': {'GT': 0, 'Acc': ' 93.33%', 'Pred': [28, 2, 0], 'edfname': '00896386_240914'},
'01069': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01243158_301115'},
'00414': {'GT': 2, 'Acc': ' 6.67%', 'Pred': [2, 26, 2], 'edfname': '00743464_220316'},
'01184': {'GT': 2, 'Acc': ' 6.67%', 'Pred': [20, 8, 2], 'edfname': '01303263_281116'},
'01250': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [30, 0, 0], 'edfname': '01342444_141118'},
'00516': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '00823206_130514'},
'01039': {'GT': 1, 'Acc': ' 76.67%', 'Pred': [1, 23, 6], 'edfname': '01235034_290120'},
'01071': {'GT': 2, 'Acc': ' 90.00%', 'Pred': [3, 0, 27], 'edfname': '01246499_301115'},
'00022': {'GT': 1, 'Acc': ' 3.33%', 'Pred': [21, 1, 8], 'edfname': '00158517_110116'},
'00913': {'GT': 0, 'Acc': ' 83.33%', 'Pred': [25, 5, 0], 'edfname': '01151967_160414'},
'00820': {'GT': 1, 'Acc': ' 6.67%', 'Pred': [2, 2, 26], 'edfname': '01127836_221116'},
'00122': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 1, 0], 'edfname': '00416942_190516'},
'00439': {'GT': 0, 'Acc': ' 93.33%', 'Pred': [28, 2, 0], 'edfname': '00760780_141118'},
'00860': {'GT': 2, 'Acc': '100.00%', 'Pred': [0, 0, 30], 'edfname': '01139924_140717'},
'01180': {'GT': 2, 'Acc': ' 96.67%', 'Pred': [0, 1, 29], 'edfname': '01301982_230118'},
'01349': {'GT': 1, 'Acc': ' 96.67%', 'Pred': [0, 29, 1], 'edfname': '01408549_031218'},
'01105': {'GT': 0, 'Acc': ' 63.33%', 'Pred': [19, 11, 0], 'edfname': '01266696_110516'},
'00671': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 1, 0], 'edfname': '00958455_200917'},
'00531': {'GT': 0, 'Acc': ' 93.33%', 'Pred': [28, 2, 0], 'edfname': '00840844_250119'},
'00192': {'GT': 0, 'Acc': ' 30.00%', 'Pred': [9, 21, 0], 'edfname': '00608961_131118'},
'00680': {'GT': 1, 'Acc': '100.00%', 'Pred': [0, 30, 0], 'edfname': '00963680_280519'},
'01156': {'GT': 1, 'Acc': ' 46.67%', 'Pred': [16, 14, 0], 'edfname': '01293646_120719'},
'00417': {'GT': 2, 'Acc': ' 20.00%', 'Pred': [2, 22, 6], 'edfname': '00745209_041018'},
'00736': {'GT': 2, 'Acc': ' 96.67%', 'Pred': [0, 1, 29], 'edfname': '01019016_241115'},
'00949': {'GT': 1, 'Acc': ' 53.33%', 'Pred': [1, 16, 13], 'edfname': '01174162_090817'},
'01172': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [0, 0, 30], 'edfname': '01298381_281016'},
'01307': {'GT': 0, 'Acc': ' 73.33%', 'Pred': [22, 5, 3], 'edfname': '01376302_060718'},
'00058': {'GT': 0, 'Acc': ' 76.67%', 'Pred': [23, 5, 2], 'edfname': '00285244_020414'},
'00124': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 1, 0], 'edfname': '00418981_060116'},
'00508': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 1, 0], 'edfname': '00817022_010415'},
'00415': {'GT': 1, 'Acc': ' 36.67%', 'Pred': [17, 11, 2], 'edfname': '00744497_260517'},
'00408': {'GT': 0, 'Acc': ' 50.00%', 'Pred': [15, 12, 3], 'edfname': '00740750_110315'},
'00385': {'GT': 0, 'Acc': ' 20.00%', 'Pred': [6, 14, 10], 'edfname': '00723232_270318'},
'01125': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01276737_300616'},
'01330': {'GT': 0, 'Acc': ' 93.33%', 'Pred': [28, 2, 0], 'edfname': '01392885_240718'},
'00329': {'GT': 0, 'Acc': ' 63.33%', 'Pred': [19, 10, 1], 'edfname': '00685248_150414'},
'00649': {'GT': 2, 'Acc': ' 13.33%', 'Pred': [17, 9, 4], 'edfname': '00951066_131217'},
'00900': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 0, 1], 'edfname': '01147100'},
'00062': {'GT': 1, 'Acc': ' 76.67%', 'Pred': [3, 23, 4], 'edfname': '00287432_110518'},
'00405': {'GT': 2, 'Acc': ' 66.67%', 'Pred': [0, 10, 20], 'edfname': '00739864_070717'},
'01066': {'GT': 0, 'Acc': ' 80.00%', 'Pred': [24, 6, 0], 'edfname': '01242983_071215'},
'00938': {'GT': 0, 'Acc': ' 0.00%', 'Pred': [0, 15, 15], 'edfname': '01161826_050916'},
'00881': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 1, 0], 'edfname': '01141790_190214'},
'00096': {'GT': 0, 'Acc': ' 86.67%', 'Pred': [26, 4, 0], 'edfname': '00369252_131216'},
'01165': {'GT': 0, 'Acc': ' 36.67%', 'Pred': [11, 19, 0], 'edfname': '01296533_281116'},
'00697': {'GT': 0, 'Acc': ' 6.67%', 'Pred': [2, 15, 13], 'edfname': '00983533_290618'},
'01037': {'GT': 1, 'Acc': ' 40.00%', 'Pred': [1, 12, 17], 'edfname': '01235034_120220'},
'00599': {'GT': 1, 'Acc': ' 93.33%', 'Pred': [1, 28, 1], 'edfname': '00901507_051018'},
'00798': {'GT': 2, 'Acc': ' 90.00%', 'Pred': [0, 3, 27], 'edfname': '01094597_300318'},
'00917': {'GT': 0, 'Acc': ' 43.33%', 'Pred': [13, 12, 5], 'edfname': '01154159_230414'},
'00828': {'GT': 2, 'Acc': ' 50.00%', 'Pred': [0, 15, 15], 'edfname': '01131959_310118'},
'00226': {'GT': 2, 'Acc': '100.00%', 'Pred': [0, 0, 30], 'edfname': '00626957_040417'},
'00280': {'GT': 2, 'Acc': ' 76.67%', 'Pred': [0, 7, 23], 'edfname': '00658017_180917'},
'00623': {'GT': 2, 'Acc': ' 80.00%', 'Pred': [1, 5, 24], 'edfname': '00926040_121219'},
'01203': {'GT': 2, 'Acc': ' 3.33%', 'Pred': [26, 3, 1], 'edfname': '01312293_120417'},
'00793': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01086373_020615'},
'00447': {'GT': 1, 'Acc': ' 13.33%', 'Pred': [8, 4, 18], 'edfname': '00764842_070514'},
'00125': {'GT': 0, 'Acc': ' 86.67%', 'Pred': [26, 1, 3], 'edfname': '00418981_090316'},
'00698': {'GT': 1, 'Acc': ' 60.00%', 'Pred': [10, 18, 2], 'edfname': '00984999_021117'},
'00756': {'GT': 1, 'Acc': ' 83.33%', 'Pred': [5, 25, 0], 'edfname': '01035162_180119'},
'00498': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [30, 0, 0], 'edfname': '00809366_050116'},
'00243': {'GT': 1, 'Acc': ' 76.67%', 'Pred': [6, 23, 1], 'edfname': '00635487_161019'},
'00004': {'GT': 2, 'Acc': ' 50.00%', 'Pred': [3, 12, 15], 'edfname': '00048377_070819'},
'01364': {'GT': 1, 'Acc': ' 60.00%', 'Pred': [0, 18, 12], 'edfname': '01418070_200819'},
'00603': {'GT': 2, 'Acc': ' 73.33%', 'Pred': [0, 8, 22], 'edfname': '00906868_071216'},
'00174': {'GT': 2, 'Acc': ' 0.00%', 'Pred': [1, 29, 0], 'edfname': '00601765_231118'},
'00301': {'GT': 1, 'Acc': ' 43.33%', 'Pred': [0, 13, 17], 'edfname': '00671744_060418'},
'00885': {'GT': 0, 'Acc': ' 86.67%', 'Pred': [26, 4, 0], 'edfname': '01142810_180214'},
'00289': {'GT': 2, 'Acc': ' 13.33%', 'Pred': [2, 24, 4], 'edfname': '00665084_280219'},
'01138': {'GT': 0, 'Acc': ' 70.00%', 'Pred': [21, 7, 2], 'edfname': '01281605_070716'},
'00821': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01128393_300715'},
'00870': {'GT': 0, 'Acc': ' 63.33%', 'Pred': [19, 2, 9], 'edfname': '01139947_120214'},
'01215': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01321744_130417'},
'00389': {'GT': 1, 'Acc': ' 40.00%', 'Pred': [18, 12, 0], 'edfname': '00727364_231118'},
'00635': {'GT': 2, 'Acc': ' 53.33%', 'Pred': [1, 13, 16], 'edfname': '00939852_140214'},
'00923': {'GT': 0, 'Acc': ' 50.00%', 'Pred': [15, 10, 5], 'edfname': '01155730_070514'},
'00815': {'GT': 0, 'Acc': ' 90.00%', 'Pred': [27, 3, 0], 'edfname': '01125477_030918'},
'00302': {'GT': 1, 'Acc': ' 26.67%', 'Pred': [0, 8, 22], 'edfname': '00671744_060718'},
'01148': {'GT': 1, 'Acc': ' 20.00%', 'Pred': [5, 6, 19], 'edfname': '01286604_220218'},
'01295': {'GT': 2, 'Acc': ' 56.67%', 'Pred': [6, 7, 17], 'edfname': '01367495_310118'},
'00220': {'GT': 1, 'Acc': ' 6.67%', 'Pred': [23, 2, 5], 'edfname': '00621729_020616'},
'01240': {'GT': 1, 'Acc': ' 56.67%', 'Pred': [0, 17, 13], 'edfname': '01338642_081119'},
'00005': {'GT': 2, 'Acc': ' 33.33%', 'Pred': [0, 20, 10], 'edfname': '00048377_070916'},
'00504': {'GT': 0, 'Acc': ' 16.67%', 'Pred': [5, 23, 2], 'edfname': '00813343_041218'},
'01045': {'GT': 0, 'Acc': ' 93.33%', 'Pred': [28, 2, 0], 'edfname': '01235281_191015'},
'01038': {'GT': 1, 'Acc': ' 90.00%', 'Pred': [0, 27, 3], 'edfname': '01235034_260220'},
'01014': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [30, 0, 0], 'edfname': '01215115_270715'},
'00741': {'GT': 0, 'Acc': ' 66.67%', 'Pred': [20, 6, 4], 'edfname': '01025734_280715'},
'00767': {'GT': 1, 'Acc': ' 66.67%', 'Pred': [8, 20, 2], 'edfname': '01055291_230517'},
'00305': {'GT': 1, 'Acc': ' 70.00%', 'Pred': [0, 21, 9], 'edfname': '00673505_020419'},
'00851': {'GT': 0, 'Acc': ' 16.67%', 'Pred': [5, 23, 2], 'edfname': '01138297_230114'},
'00730': {'GT': 0, 'Acc': ' 93.33%', 'Pred': [28, 2, 0], 'edfname': '01011922_270815'},
'00407': {'GT': 1, 'Acc': ' 10.00%', 'Pred': [24, 3, 3], 'edfname': '00740694_110315'},
'01305': {'GT': 1, 'Acc': ' 76.67%', 'Pred': [0, 23, 7], 'edfname': '01372947_240518'},
'01080': {'GT': 2, 'Acc': ' 20.00%', 'Pred': [0, 24, 6], 'edfname': '01252335_211016'},
'01007': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01211467_070415'},
'00455': {'GT': 1, 'Acc': ' 3.33%', 'Pred': [1, 1, 28], 'edfname': '00771910_121016'},
'00588': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 1, 0], 'edfname': '00895530_090616'},
'01268': {'GT': 1, 'Acc': ' 16.67%', 'Pred': [0, 5, 25], 'edfname': '01351393_231019'},
'01079': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [30, 0, 0], 'edfname': '01251650_191219'}}
class M5(nn.Module):
def __init__(self, n_input=20, n_output=3, stride=4, n_channel=256,
use_age=True, final_pool='average'):
super().__init__()
if final_pool not in {'average', 'max'}:
raise ValueError("final_pool must be set to one of ['average', 'max']")
self.use_age = use_age
self.conv1 = nn.Conv1d(n_input, n_channel, kernel_size=41, stride=2)
self.bn1 = nn.BatchNorm1d(n_channel)
self.pool1 = nn.MaxPool1d(2)
self.conv2 = nn.Conv1d(n_channel, n_channel, kernel_size=11)
self.bn2 = nn.BatchNorm1d(n_channel)
self.pool2 = nn.MaxPool1d(2)
self.conv3 = nn.Conv1d(n_channel, 2 * n_channel, kernel_size=11)
self.bn3 = nn.BatchNorm1d(2 * n_channel)
self.pool3 = nn.MaxPool1d(2)
self.conv4 = nn.Conv1d(2 * n_channel, 2 * n_channel, kernel_size=11)
self.bn4 = nn.BatchNorm1d(2 * n_channel)
self.pool4 = nn.MaxPool1d(2)
self.conv5 = nn.Conv1d(2 * n_channel, 2 * n_channel, kernel_size=11)
self.bn5 = nn.BatchNorm1d(2 * n_channel)
self.pool5 = nn.MaxPool1d(2)
if final_pool == 'average':
self.final_pool = nn.AdaptiveAvgPool1d(1)
elif final_pool == 'max':
self.final_pool = nn.AdaptiveMaxPool1d(1)
if self.use_age:
self.fc1 = nn.Linear(2 * n_channel + 1, 2 * n_channel)
else:
self.fc1 = nn.Linear(2 * n_channel, 2 * n_channel)
self.dropout = nn.Dropout(p=0.3)
self.bnfc1 = nn.BatchNorm1d(2 * n_channel)
self.fc2 = nn.Linear(2 * n_channel, n_output)
def reset_weights(self):
for m in self.modules():
if hasattr(m, 'reset_parameters'):
m.reset_parameters()
def forward(self, x, age, print_shape=False):
# conv-bn-relu-pool
x = self.conv1(x)
x = F.relu(self.bn1(x))
x = self.pool1(x)
x = self.conv2(x)
x = F.relu(self.bn2(x))
x = self.pool2(x)
x = self.conv3(x)
x = F.relu(self.bn3(x))
x = self.pool3(x)
x = self.conv4(x)
x = F.relu(self.bn4(x))
x = self.pool4(x)
x = self.conv5(x)
x = F.relu(self.bn5(x))
x = self.pool5(x)
if print_shape:
print('Shape right before squeezing:', x.shape)
x = self.final_pool(x).squeeze()
if self.use_age:
x = torch.cat((x, age.reshape(-1, 1)), dim=1)
# fc-bn-dropout-relu-fc
x = self.fc1(x)
x = self.bnfc1(x)
x = self.dropout(x)
x = F.relu(x)
x = self.fc2(x)
return x
# return F.log_softmax(x, dim=1)
model = M5(n_input=train_dataset[0]['signal'].shape[0],
n_output=3,
use_age=True,
final_pool='max')
model = model.to(device, dtype=torch.float32)
print(model)
print()
# tensorboard visualization
visualize_network_tensorboard(model, 'M5-like')
# number of parameters
n = count_parameters(model)
print(f'The Number of parameters of the model: {n:,}')
M5( (conv1): Conv1d(20, 256, kernel_size=(41,), stride=(2,)) (bn1): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (pool1): MaxPool1d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) (conv2): Conv1d(256, 256, kernel_size=(11,), stride=(1,)) (bn2): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (pool2): MaxPool1d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) (conv3): Conv1d(256, 512, kernel_size=(11,), stride=(1,)) (bn3): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (pool3): MaxPool1d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) (conv4): Conv1d(512, 512, kernel_size=(11,), stride=(1,)) (bn4): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (pool4): MaxPool1d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) (conv5): Conv1d(512, 512, kernel_size=(11,), stride=(1,)) (bn5): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (pool5): MaxPool1d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) (final_pool): AdaptiveMaxPool1d(output_size=1) (fc1): Linear(in_features=513, out_features=512, bias=True) (dropout): Dropout(p=0.3, inplace=False) (bnfc1): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (fc2): Linear(in_features=512, out_features=3, bias=True) ) Shape right before squeezing: torch.Size([32, 512, 21]) The Number of parameters of the model: 8,411,651
# record = learning_rate_search(model,
# min_log_lr=-4.5,
# max_log_lr=-1.4,
# trials=300,
# epochs=1)
# draw_learning_rate_record(record)
# best_log_lr = record[np.argmax(np.array([v for lr, v in record]))][0]
best_log_lr = -3.0
print('best_log_lr:', best_log_lr)
best_log_lr: -3.0
# reduce the learning after [lr_schedule_step] epochs by a factor of 10
n_epoch = 2000
lr_schedule_step = 600
log_interval = len(train_loader) // 2
loss_history = []
train_acc_history = []
val_acc_history = []
best_val_acc = 0
model.reset_weights()
optimizer = optim.AdamW(model.parameters(), lr=10 ** best_log_lr, weight_decay=0.0001)
scheduler = optim.lr_scheduler.StepLR(optimizer, step_size=lr_schedule_step, gamma=0.1)
print(f'{"*"*40} Training Starts {"*"*40}')
for epoch in tqdm(range(1, n_epoch + 1)):
print(f'{"-"*30} Epoch {epoch:03d} / {n_epoch:03d}, Learning rate: {optimizer.param_groups[-1]["lr"]:.2e} {"-"*30}')
# train
loss, train_accuracy, train_confusion = train_one_epoch(model, optimizer, log_interval)
loss_history.extend(loss)
train_acc_history.append(train_accuracy)
# validation
val_accuracy, val_confusion = check_val_accuracy(model, repeat=5)
val_acc_history.append(val_accuracy)
if best_val_acc < val_accuracy:
best_val_acc = val_accuracy
best_model_state = deepcopy(model.state_dict())
# learning rate schedule
scheduler.step()
print()
print(f'* Train accuracy / confusion: {train_accuracy:.2f}% / {train_confusion.tolist()}, ')
print(f'* Val accuracy / confusion: {val_accuracy:.2f}% / {val_confusion.tolist()}')
print()
print(f'{"*"*40} Training Ends {"*"*40}')
# draw the training loss plot
draw_loss_plot(loss_history)
draw_accuracy_history(train_acc_history, val_acc_history)
# test the last model
last_model_state = deepcopy(model.state_dict())
last_test_accuracy, last_test_confusion, last_test_debug = check_test_accuracy(model, repeat=30)
print(f'- Test accuracy (last model): {last_test_accuracy:.2f}%')
print('- Confusion matrix (last model):\n', last_test_confusion)
print()
draw_confusion(last_test_confusion)
# test the best model
model.load_state_dict(best_model_state)
best_test_accuracy, best_test_confusion, best_test_debug = check_test_accuracy(model, repeat=30)
print(f'- Test accuracy (best model): {best_test_accuracy:.2f}%')
print('- Confusion matrix (best model):\n', best_test_confusion)
print()
draw_confusion(best_test_confusion)
**************************************** Training Starts ****************************************
------------------------------ Epoch 001 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.272505 - Iter 024 / 025, Loss: 1.171837 * Train accuracy / confusion: 40.75% / [[227, 93, 40], [166, 73, 29], [99, 47, 26]], * Val accuracy / confusion: 38.08% / [[53, 174, 3], [30, 144, 1], [15, 99, 1]] ------------------------------ Epoch 002 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.102354 - Iter 024 / 025, Loss: 1.154064 * Train accuracy / confusion: 43.88% / [[257, 73, 29], [172, 76, 20], [96, 59, 18]], * Val accuracy / confusion: 46.15% / [[220, 8, 2], [154, 18, 3], [102, 11, 2]] ------------------------------ Epoch 003 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.186053 - Iter 024 / 025, Loss: 1.032081 * Train accuracy / confusion: 42.38% / [[228, 112, 14], [158, 93, 21], [82, 74, 18]], * Val accuracy / confusion: 44.62% / [[200, 18, 12], [127, 24, 24], [88, 19, 8]] ------------------------------ Epoch 004 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.081335 - Iter 024 / 025, Loss: 1.082617 * Train accuracy / confusion: 44.50% / [[239, 102, 14], [143, 109, 18], [88, 79, 8]], * Val accuracy / confusion: 46.54% / [[199, 31, 0], [132, 43, 0], [85, 30, 0]] ------------------------------ Epoch 005 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.121921 - Iter 024 / 025, Loss: 1.112075 * Train accuracy / confusion: 43.88% / [[260, 76, 14], [182, 74, 15], [111, 51, 17]], * Val accuracy / confusion: 49.62% / [[222, 8, 0], [141, 26, 8], [93, 12, 10]] ------------------------------ Epoch 006 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.043242 - Iter 024 / 025, Loss: 1.092927 * Train accuracy / confusion: 47.62% / [[272, 58, 24], [166, 69, 35], [87, 49, 40]], * Val accuracy / confusion: 44.81% / [[72, 131, 27], [8, 142, 25], [3, 93, 19]] ------------------------------ Epoch 007 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.111658 - Iter 024 / 025, Loss: 0.956571 * Train accuracy / confusion: 46.00% / [[248, 86, 17], [137, 94, 40], [80, 72, 26]], * Val accuracy / confusion: 48.46% / [[191, 39, 0], [114, 60, 1], [76, 38, 1]] ------------------------------ Epoch 008 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.022763 - Iter 024 / 025, Loss: 0.989777 * Train accuracy / confusion: 48.62% / [[251, 74, 31], [120, 106, 39], [65, 82, 32]], * Val accuracy / confusion: 48.85% / [[206, 8, 16], [121, 18, 36], [70, 15, 30]] ------------------------------ Epoch 009 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.080553 - Iter 024 / 025, Loss: 0.923577 * Train accuracy / confusion: 47.00% / [[275, 57, 25], [166, 63, 40], [79, 57, 38]], * Val accuracy / confusion: 48.85% / [[183, 23, 24], [81, 39, 55], [60, 23, 32]] ------------------------------ Epoch 010 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.093134 - Iter 024 / 025, Loss: 0.931716 * Train accuracy / confusion: 47.00% / [[240, 73, 38], [127, 103, 42], [72, 72, 33]], * Val accuracy / confusion: 46.54% / [[103, 109, 18], [37, 109, 29], [21, 64, 30]] ------------------------------ Epoch 011 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.833625 - Iter 024 / 025, Loss: 1.136694 * Train accuracy / confusion: 49.38% / [[264, 75, 17], [132, 103, 30], [65, 86, 28]], * Val accuracy / confusion: 47.69% / [[216, 5, 9], [146, 11, 18], [84, 10, 21]] ------------------------------ Epoch 012 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.949417 - Iter 024 / 025, Loss: 0.943414 * Train accuracy / confusion: 49.38% / [[264, 61, 33], [131, 80, 54], [66, 60, 51]], * Val accuracy / confusion: 46.92% / [[149, 45, 36], [62, 59, 54], [39, 40, 36]] ------------------------------ Epoch 013 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.952077 - Iter 024 / 025, Loss: 1.068388 * Train accuracy / confusion: 47.38% / [[257, 69, 30], [137, 80, 47], [66, 72, 42]], * Val accuracy / confusion: 50.58% / [[155, 69, 6], [60, 100, 15], [40, 67, 8]] ------------------------------ Epoch 014 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.966135 - Iter 024 / 025, Loss: 0.952645 * Train accuracy / confusion: 52.62% / [[277, 59, 20], [115, 100, 51], [67, 67, 44]], * Val accuracy / confusion: 39.81% / [[63, 134, 33], [8, 114, 53], [2, 83, 30]] ------------------------------ Epoch 015 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.883122 - Iter 024 / 025, Loss: 0.960690 * Train accuracy / confusion: 51.62% / [[261, 76, 15], [117, 116, 35], [61, 83, 36]], * Val accuracy / confusion: 53.27% / [[185, 38, 7], [82, 77, 16], [49, 51, 15]] ------------------------------ Epoch 016 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.960722 - Iter 024 / 025, Loss: 1.003908 * Train accuracy / confusion: 51.00% / [[267, 71, 15], [116, 112, 43], [57, 90, 29]], * Val accuracy / confusion: 49.23% / [[176, 47, 7], [91, 69, 15], [50, 54, 11]] ------------------------------ Epoch 017 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.903886 - Iter 024 / 025, Loss: 0.873996 * Train accuracy / confusion: 49.62% / [[257, 69, 25], [121, 87, 62], [60, 66, 53]], * Val accuracy / confusion: 55.77% / [[148, 64, 18], [47, 88, 40], [23, 38, 54]] ------------------------------ Epoch 018 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.869959 - Iter 024 / 025, Loss: 0.961947 * Train accuracy / confusion: 50.75% / [[262, 70, 24], [127, 79, 62], [44, 67, 65]], * Val accuracy / confusion: 56.35% / [[160, 61, 9], [42, 102, 31], [15, 69, 31]] ------------------------------ Epoch 019 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.116279 - Iter 024 / 025, Loss: 0.825720 * Train accuracy / confusion: 52.12% / [[265, 75, 14], [112, 116, 38], [55, 89, 36]], * Val accuracy / confusion: 52.88% / [[137, 70, 23], [31, 101, 43], [17, 61, 37]] ------------------------------ Epoch 020 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.253792 - Iter 024 / 025, Loss: 0.807112 * Train accuracy / confusion: 51.88% / [[258, 80, 18], [109, 117, 42], [49, 87, 40]], * Val accuracy / confusion: 55.00% / [[140, 90, 0], [34, 135, 6], [18, 86, 11]] ------------------------------ Epoch 021 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.977950 - Iter 024 / 025, Loss: 0.934603 * Train accuracy / confusion: 52.25% / [[275, 55, 24], [123, 80, 64], [49, 67, 63]], * Val accuracy / confusion: 51.73% / [[181, 32, 17], [76, 61, 38], [37, 51, 27]] ------------------------------ Epoch 022 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.022007 - Iter 024 / 025, Loss: 1.082120 * Train accuracy / confusion: 51.25% / [[268, 65, 20], [120, 95, 53], [61, 71, 47]], * Val accuracy / confusion: 50.96% / [[142, 87, 1], [46, 121, 8], [19, 94, 2]] ------------------------------ Epoch 023 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.910049 - Iter 024 / 025, Loss: 1.040788 * Train accuracy / confusion: 51.62% / [[258, 74, 25], [113, 102, 53], [42, 80, 53]], * Val accuracy / confusion: 55.38% / [[177, 35, 18], [61, 70, 44], [34, 40, 41]] ------------------------------ Epoch 024 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.020229 - Iter 024 / 025, Loss: 0.815320 * Train accuracy / confusion: 50.00% / [[271, 47, 34], [139, 75, 57], [60, 63, 54]], * Val accuracy / confusion: 59.23% / [[157, 66, 7], [33, 121, 21], [19, 66, 30]] ------------------------------ Epoch 025 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.841160 - Iter 024 / 025, Loss: 0.884877 * Train accuracy / confusion: 53.50% / [[270, 80, 9], [107, 123, 36], [43, 97, 35]], * Val accuracy / confusion: 56.54% / [[176, 49, 5], [63, 96, 16], [28, 65, 22]] ------------------------------ Epoch 026 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.127614 - Iter 024 / 025, Loss: 0.976097 * Train accuracy / confusion: 54.50% / [[276, 63, 15], [107, 105, 55], [53, 71, 55]], * Val accuracy / confusion: 55.96% / [[189, 25, 16], [93, 55, 27], [47, 21, 47]] ------------------------------ Epoch 027 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.111779 - Iter 024 / 025, Loss: 0.964290 * Train accuracy / confusion: 53.88% / [[274, 66, 15], [118, 116, 36], [44, 90, 41]], * Val accuracy / confusion: 53.27% / [[166, 55, 9], [56, 80, 39], [32, 52, 31]] ------------------------------ Epoch 028 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.046799 - Iter 024 / 025, Loss: 0.971648 * Train accuracy / confusion: 52.25% / [[272, 59, 27], [111, 95, 62], [46, 77, 51]], * Val accuracy / confusion: 54.42% / [[185, 43, 2], [70, 92, 13], [30, 79, 6]] ------------------------------ Epoch 029 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.993672 - Iter 024 / 025, Loss: 0.910645 * Train accuracy / confusion: 53.75% / [[284, 52, 24], [117, 77, 69], [43, 65, 69]], * Val accuracy / confusion: 49.62% / [[99, 130, 1], [20, 150, 5], [12, 94, 9]] ------------------------------ Epoch 030 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.869421 - Iter 024 / 025, Loss: 0.830404 * Train accuracy / confusion: 53.00% / [[264, 75, 19], [107, 119, 39], [49, 87, 41]], * Val accuracy / confusion: 55.77% / [[193, 29, 8], [81, 51, 43], [49, 20, 46]] ------------------------------ Epoch 031 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.278624 - Iter 024 / 025, Loss: 1.146173 * Train accuracy / confusion: 53.12% / [[267, 70, 13], [115, 104, 53], [47, 77, 54]], * Val accuracy / confusion: 54.23% / [[183, 42, 5], [66, 83, 26], [41, 58, 16]] ------------------------------ Epoch 032 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.068931 - Iter 024 / 025, Loss: 0.921214 * Train accuracy / confusion: 53.88% / [[283, 45, 25], [124, 93, 57], [52, 66, 55]], * Val accuracy / confusion: 55.19% / [[140, 65, 25], [36, 86, 53], [16, 38, 61]] ------------------------------ Epoch 033 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.829922 - Iter 024 / 025, Loss: 0.997045 * Train accuracy / confusion: 52.38% / [[265, 81, 12], [104, 129, 38], [40, 106, 25]], * Val accuracy / confusion: 50.38% / [[204, 20, 6], [116, 44, 15], [68, 33, 14]] ------------------------------ Epoch 034 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.066736 - Iter 024 / 025, Loss: 0.931429 * Train accuracy / confusion: 51.00% / [[266, 73, 18], [110, 120, 39], [50, 102, 22]], * Val accuracy / confusion: 52.69% / [[133, 97, 0], [36, 132, 7], [14, 92, 9]] ------------------------------ Epoch 035 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.806382 - Iter 024 / 025, Loss: 0.877588 * Train accuracy / confusion: 53.25% / [[272, 69, 20], [113, 95, 56], [48, 68, 59]], * Val accuracy / confusion: 54.23% / [[174, 39, 17], [68, 70, 37], [41, 36, 38]] ------------------------------ Epoch 036 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.768375 - Iter 024 / 025, Loss: 0.908491 * Train accuracy / confusion: 53.88% / [[275, 54, 26], [121, 104, 44], [47, 77, 52]], * Val accuracy / confusion: 54.42% / [[166, 56, 8], [60, 96, 19], [28, 66, 21]] ------------------------------ Epoch 037 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.025041 - Iter 024 / 025, Loss: 0.937006 * Train accuracy / confusion: 52.50% / [[284, 60, 13], [119, 89, 56], [60, 72, 47]], * Val accuracy / confusion: 56.15% / [[171, 47, 12], [65, 88, 22], [31, 51, 33]] ------------------------------ Epoch 038 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.012363 - Iter 024 / 025, Loss: 0.834470 * Train accuracy / confusion: 52.75% / [[254, 86, 14], [107, 111, 50], [43, 78, 57]], * Val accuracy / confusion: 51.73% / [[149, 42, 39], [51, 50, 74], [17, 28, 70]] ------------------------------ Epoch 039 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.843181 - Iter 024 / 025, Loss: 1.044627 * Train accuracy / confusion: 54.12% / [[279, 55, 20], [111, 94, 62], [55, 64, 60]], * Val accuracy / confusion: 54.81% / [[165, 62, 3], [57, 104, 14], [33, 66, 16]] ------------------------------ Epoch 040 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.970752 - Iter 024 / 025, Loss: 1.036597 * Train accuracy / confusion: 54.75% / [[276, 57, 27], [100, 98, 62], [35, 81, 64]], * Val accuracy / confusion: 54.81% / [[174, 35, 21], [71, 59, 45], [27, 36, 52]] ------------------------------ Epoch 041 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.836997 - Iter 024 / 025, Loss: 0.895371 * Train accuracy / confusion: 52.75% / [[253, 87, 14], [107, 136, 31], [48, 91, 33]], * Val accuracy / confusion: 55.00% / [[182, 35, 13], [68, 70, 37], [34, 47, 34]] ------------------------------ Epoch 042 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.755945 - Iter 024 / 025, Loss: 0.879331 * Train accuracy / confusion: 52.00% / [[276, 59, 17], [116, 93, 59], [55, 78, 47]], * Val accuracy / confusion: 52.88% / [[188, 24, 18], [86, 57, 32], [48, 37, 30]] ------------------------------ Epoch 043 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.010877 - Iter 024 / 025, Loss: 1.106614 * Train accuracy / confusion: 53.75% / [[283, 58, 12], [128, 114, 27], [47, 98, 33]], * Val accuracy / confusion: 44.81% / [[72, 129, 29], [9, 100, 66], [2, 52, 61]] ------------------------------ Epoch 044 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.000631 - Iter 024 / 025, Loss: 1.005761 * Train accuracy / confusion: 52.62% / [[273, 62, 21], [119, 96, 54], [48, 75, 52]], * Val accuracy / confusion: 55.96% / [[170, 51, 9], [52, 101, 22], [25, 70, 20]] ------------------------------ Epoch 045 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.980788 - Iter 024 / 025, Loss: 0.880019 * Train accuracy / confusion: 54.25% / [[278, 42, 35], [114, 99, 56], [51, 68, 57]], * Val accuracy / confusion: 55.58% / [[169, 56, 5], [51, 117, 7], [29, 83, 3]] ------------------------------ Epoch 046 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.917049 - Iter 024 / 025, Loss: 1.182034 * Train accuracy / confusion: 53.62% / [[266, 75, 19], [103, 116, 46], [40, 88, 47]], * Val accuracy / confusion: 57.12% / [[175, 46, 9], [63, 86, 26], [27, 52, 36]] ------------------------------ Epoch 047 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.804978 - Iter 024 / 025, Loss: 1.018632 * Train accuracy / confusion: 53.12% / [[271, 75, 7], [118, 105, 46], [38, 91, 49]], * Val accuracy / confusion: 50.77% / [[152, 47, 31], [52, 62, 61], [17, 48, 50]] ------------------------------ Epoch 048 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.914792 - Iter 024 / 025, Loss: 1.037874 * Train accuracy / confusion: 54.88% / [[283, 61, 13], [107, 100, 59], [48, 73, 56]], * Val accuracy / confusion: 50.96% / [[136, 80, 14], [37, 101, 37], [12, 75, 28]] ------------------------------ Epoch 049 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.025200 - Iter 024 / 025, Loss: 0.917465 * Train accuracy / confusion: 54.00% / [[268, 67, 22], [112, 107, 50], [36, 81, 57]], * Val accuracy / confusion: 50.19% / [[213, 15, 2], [130, 33, 12], [69, 31, 15]] ------------------------------ Epoch 050 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.919305 - Iter 024 / 025, Loss: 0.696406 * Train accuracy / confusion: 56.38% / [[275, 58, 22], [106, 119, 45], [46, 72, 57]], * Val accuracy / confusion: 56.15% / [[178, 37, 15], [60, 73, 42], [26, 48, 41]] ------------------------------ Epoch 051 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.144935 - Iter 024 / 025, Loss: 0.938231 * Train accuracy / confusion: 53.88% / [[280, 62, 15], [123, 105, 38], [57, 74, 46]], * Val accuracy / confusion: 56.54% / [[173, 54, 3], [66, 89, 20], [31, 52, 32]] ------------------------------ Epoch 052 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.954802 - Iter 024 / 025, Loss: 0.955362 * Train accuracy / confusion: 57.00% / [[277, 60, 19], [111, 107, 51], [39, 64, 72]], * Val accuracy / confusion: 51.15% / [[145, 24, 61], [36, 33, 106], [15, 12, 88]] ------------------------------ Epoch 053 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.867300 - Iter 024 / 025, Loss: 0.980200 * Train accuracy / confusion: 53.00% / [[257, 83, 14], [105, 119, 46], [40, 88, 48]], * Val accuracy / confusion: 57.31% / [[160, 43, 27], [47, 72, 56], [19, 30, 66]] ------------------------------ Epoch 054 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.844001 - Iter 024 / 025, Loss: 0.776748 * Train accuracy / confusion: 55.50% / [[276, 58, 22], [113, 87, 66], [44, 53, 81]], * Val accuracy / confusion: 42.88% / [[107, 66, 57], [17, 48, 110], [6, 41, 68]] ------------------------------ Epoch 055 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.132865 - Iter 024 / 025, Loss: 0.865205 * Train accuracy / confusion: 54.62% / [[278, 65, 16], [115, 106, 45], [43, 79, 53]], * Val accuracy / confusion: 55.00% / [[179, 42, 9], [69, 67, 39], [31, 44, 40]] ------------------------------ Epoch 056 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.131850 - Iter 024 / 025, Loss: 0.935343 * Train accuracy / confusion: 54.25% / [[276, 66, 15], [114, 112, 42], [39, 90, 46]], * Val accuracy / confusion: 52.12% / [[109, 89, 32], [16, 96, 63], [2, 47, 66]] ------------------------------ Epoch 057 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.725407 - Iter 024 / 025, Loss: 0.909838 * Train accuracy / confusion: 55.12% / [[252, 76, 27], [95, 125, 48], [36, 77, 64]], * Val accuracy / confusion: 52.50% / [[202, 28, 0], [107, 60, 8], [48, 56, 11]] ------------------------------ Epoch 058 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.926623 - Iter 024 / 025, Loss: 1.127125 * Train accuracy / confusion: 54.88% / [[258, 79, 20], [99, 118, 49], [45, 69, 63]], * Val accuracy / confusion: 55.96% / [[164, 57, 9], [48, 87, 40], [25, 50, 40]] ------------------------------ Epoch 059 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.899958 - Iter 024 / 025, Loss: 0.849628 * Train accuracy / confusion: 55.12% / [[279, 55, 22], [106, 107, 57], [51, 68, 55]], * Val accuracy / confusion: 50.77% / [[149, 30, 51], [52, 41, 82], [14, 27, 74]] ------------------------------ Epoch 060 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.934697 - Iter 024 / 025, Loss: 0.786852 * Train accuracy / confusion: 55.38% / [[287, 64, 9], [108, 97, 57], [44, 75, 59]], * Val accuracy / confusion: 52.12% / [[91, 133, 6], [13, 138, 24], [5, 68, 42]] ------------------------------ Epoch 061 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.941671 - Iter 024 / 025, Loss: 0.874648 * Train accuracy / confusion: 54.25% / [[272, 68, 20], [114, 94, 53], [38, 73, 68]], * Val accuracy / confusion: 53.08% / [[207, 21, 2], [107, 46, 22], [60, 32, 23]] ------------------------------ Epoch 062 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.976082 - Iter 024 / 025, Loss: 1.038133 * Train accuracy / confusion: 51.62% / [[257, 69, 29], [113, 87, 68], [42, 66, 69]], * Val accuracy / confusion: 47.50% / [[107, 53, 70], [22, 55, 98], [9, 21, 85]] ------------------------------ Epoch 063 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.911172 - Iter 024 / 025, Loss: 0.966128 * Train accuracy / confusion: 53.50% / [[264, 79, 12], [118, 105, 45], [43, 75, 59]], * Val accuracy / confusion: 56.73% / [[182, 33, 15], [68, 62, 45], [24, 40, 51]] ------------------------------ Epoch 064 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.777377 - Iter 024 / 025, Loss: 1.045614 * Train accuracy / confusion: 55.00% / [[271, 70, 15], [115, 94, 59], [46, 55, 75]], * Val accuracy / confusion: 53.65% / [[193, 29, 8], [90, 53, 32], [47, 35, 33]] ------------------------------ Epoch 065 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.913367 - Iter 024 / 025, Loss: 0.863855 * Train accuracy / confusion: 58.88% / [[290, 45, 23], [103, 119, 47], [39, 72, 62]], * Val accuracy / confusion: 53.27% / [[129, 65, 36], [28, 61, 86], [9, 19, 87]] ------------------------------ Epoch 066 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.975717 - Iter 024 / 025, Loss: 1.038571 * Train accuracy / confusion: 56.38% / [[293, 51, 15], [108, 110, 46], [57, 72, 48]], * Val accuracy / confusion: 57.12% / [[181, 39, 10], [64, 92, 19], [33, 58, 24]] ------------------------------ Epoch 067 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.834362 - Iter 024 / 025, Loss: 0.805852 * Train accuracy / confusion: 56.38% / [[282, 51, 24], [108, 102, 57], [47, 62, 67]], * Val accuracy / confusion: 54.04% / [[196, 17, 17], [93, 30, 52], [40, 20, 55]] ------------------------------ Epoch 068 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.968145 - Iter 024 / 025, Loss: 0.937652 * Train accuracy / confusion: 54.50% / [[280, 59, 17], [112, 100, 55], [47, 74, 56]], * Val accuracy / confusion: 53.85% / [[197, 13, 20], [83, 26, 66], [42, 16, 57]] ------------------------------ Epoch 069 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.979244 - Iter 024 / 025, Loss: 0.787809 * Train accuracy / confusion: 55.88% / [[253, 79, 19], [87, 128, 54], [36, 78, 66]], * Val accuracy / confusion: 54.42% / [[148, 77, 5], [45, 116, 14], [16, 80, 19]] ------------------------------ Epoch 070 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.804172 - Iter 024 / 025, Loss: 0.832609 * Train accuracy / confusion: 56.38% / [[273, 59, 19], [112, 114, 47], [39, 73, 64]], * Val accuracy / confusion: 54.04% / [[152, 32, 46], [52, 46, 77], [15, 17, 83]] ------------------------------ Epoch 071 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.874613 - Iter 024 / 025, Loss: 1.041820 * Train accuracy / confusion: 60.00% / [[279, 61, 17], [96, 127, 41], [42, 63, 74]], * Val accuracy / confusion: 54.42% / [[193, 26, 11], [87, 51, 37], [37, 39, 39]] ------------------------------ Epoch 072 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.685425 - Iter 024 / 025, Loss: 0.868514 * Train accuracy / confusion: 54.75% / [[273, 63, 19], [107, 110, 55], [36, 82, 55]], * Val accuracy / confusion: 54.62% / [[160, 59, 11], [44, 80, 51], [21, 50, 44]] ------------------------------ Epoch 073 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.809307 - Iter 024 / 025, Loss: 0.730799 * Train accuracy / confusion: 57.00% / [[276, 66, 17], [94, 131, 46], [29, 92, 49]], * Val accuracy / confusion: 57.69% / [[154, 66, 10], [47, 100, 28], [13, 56, 46]] ------------------------------ Epoch 074 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.887904 - Iter 024 / 025, Loss: 0.802027 * Train accuracy / confusion: 56.12% / [[264, 70, 23], [97, 109, 62], [28, 71, 76]], * Val accuracy / confusion: 58.27% / [[173, 39, 18], [63, 77, 35], [28, 34, 53]] ------------------------------ Epoch 075 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.882481 - Iter 024 / 025, Loss: 0.864584 * Train accuracy / confusion: 55.25% / [[281, 55, 17], [113, 92, 63], [51, 59, 69]], * Val accuracy / confusion: 53.27% / [[201, 19, 10], [89, 31, 55], [40, 30, 45]] ------------------------------ Epoch 076 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.942831 - Iter 024 / 025, Loss: 0.797021 * Train accuracy / confusion: 56.75% / [[262, 77, 13], [94, 133, 44], [36, 82, 59]], * Val accuracy / confusion: 53.27% / [[148, 49, 33], [47, 47, 81], [18, 15, 82]] ------------------------------ Epoch 077 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.894746 - Iter 024 / 025, Loss: 0.845497 * Train accuracy / confusion: 55.62% / [[273, 66, 18], [115, 97, 56], [40, 60, 75]], * Val accuracy / confusion: 54.42% / [[146, 84, 0], [36, 137, 2], [13, 102, 0]] ------------------------------ Epoch 078 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.882111 - Iter 024 / 025, Loss: 0.903473 * Train accuracy / confusion: 56.00% / [[266, 64, 24], [103, 123, 42], [32, 87, 59]], * Val accuracy / confusion: 50.96% / [[95, 104, 31], [12, 100, 63], [3, 42, 70]] ------------------------------ Epoch 079 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.843860 - Iter 024 / 025, Loss: 0.723714 * Train accuracy / confusion: 53.50% / [[256, 92, 13], [98, 127, 42], [36, 91, 45]], * Val accuracy / confusion: 55.00% / [[206, 14, 10], [107, 18, 50], [47, 6, 62]] ------------------------------ Epoch 080 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.847839 - Iter 024 / 025, Loss: 0.848684 * Train accuracy / confusion: 56.00% / [[275, 57, 23], [115, 92, 61], [40, 56, 81]], * Val accuracy / confusion: 54.04% / [[157, 59, 14], [62, 76, 37], [22, 45, 48]] ------------------------------ Epoch 081 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.048266 - Iter 024 / 025, Loss: 0.894530 * Train accuracy / confusion: 59.88% / [[294, 46, 21], [119, 94, 49], [47, 39, 91]], * Val accuracy / confusion: 56.73% / [[148, 76, 6], [33, 111, 31], [18, 61, 36]] ------------------------------ Epoch 082 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.861803 - Iter 024 / 025, Loss: 0.922691 * Train accuracy / confusion: 55.50% / [[243, 82, 28], [98, 116, 57], [25, 66, 85]], * Val accuracy / confusion: 61.35% / [[146, 66, 18], [31, 110, 34], [12, 40, 63]] ------------------------------ Epoch 083 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.021586 - Iter 024 / 025, Loss: 0.790372 * Train accuracy / confusion: 56.25% / [[278, 54, 23], [111, 101, 56], [45, 61, 71]], * Val accuracy / confusion: 55.00% / [[187, 35, 8], [87, 49, 39], [35, 30, 50]] ------------------------------ Epoch 084 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.891877 - Iter 024 / 025, Loss: 0.793704 * Train accuracy / confusion: 57.25% / [[263, 76, 24], [88, 123, 53], [30, 71, 72]], * Val accuracy / confusion: 48.85% / [[95, 129, 6], [24, 136, 15], [8, 84, 23]] ------------------------------ Epoch 085 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.852419 - Iter 024 / 025, Loss: 0.799998 * Train accuracy / confusion: 57.00% / [[285, 57, 14], [110, 105, 52], [45, 66, 66]], * Val accuracy / confusion: 56.35% / [[194, 15, 21], [82, 46, 47], [36, 26, 53]] ------------------------------ Epoch 086 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.885617 - Iter 024 / 025, Loss: 0.943473 * Train accuracy / confusion: 56.00% / [[271, 63, 21], [109, 101, 59], [33, 67, 76]], * Val accuracy / confusion: 54.23% / [[179, 48, 3], [75, 74, 26], [32, 54, 29]] ------------------------------ Epoch 087 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.049161 - Iter 024 / 025, Loss: 0.740850 * Train accuracy / confusion: 54.88% / [[259, 74, 17], [96, 135, 42], [31, 101, 45]], * Val accuracy / confusion: 51.92% / [[190, 36, 4], [95, 70, 10], [42, 63, 10]] ------------------------------ Epoch 088 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.611271 - Iter 024 / 025, Loss: 0.881365 * Train accuracy / confusion: 57.75% / [[281, 52, 20], [119, 100, 51], [37, 59, 81]], * Val accuracy / confusion: 55.58% / [[156, 64, 10], [46, 104, 25], [14, 72, 29]] ------------------------------ Epoch 089 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.806272 - Iter 024 / 025, Loss: 0.823545 * Train accuracy / confusion: 60.00% / [[294, 53, 16], [100, 97, 62], [42, 47, 89]], * Val accuracy / confusion: 57.12% / [[152, 72, 6], [43, 117, 15], [17, 70, 28]] ------------------------------ Epoch 090 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.840755 - Iter 024 / 025, Loss: 0.907087 * Train accuracy / confusion: 57.88% / [[271, 70, 17], [94, 123, 46], [31, 79, 69]], * Val accuracy / confusion: 53.65% / [[183, 37, 10], [86, 58, 31], [43, 34, 38]] ------------------------------ Epoch 091 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.808186 - Iter 024 / 025, Loss: 0.795839 * Train accuracy / confusion: 58.75% / [[275, 52, 30], [105, 103, 58], [41, 44, 92]], * Val accuracy / confusion: 54.81% / [[166, 53, 11], [54, 90, 31], [21, 65, 29]] ------------------------------ Epoch 092 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.863604 - Iter 024 / 025, Loss: 1.008709 * Train accuracy / confusion: 56.38% / [[263, 69, 23], [91, 125, 51], [35, 80, 63]], * Val accuracy / confusion: 55.58% / [[172, 42, 16], [70, 63, 42], [25, 36, 54]] ------------------------------ Epoch 093 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.856183 - Iter 024 / 025, Loss: 1.089174 * Train accuracy / confusion: 58.50% / [[269, 70, 12], [101, 127, 43], [38, 68, 72]], * Val accuracy / confusion: 54.81% / [[182, 21, 27], [83, 38, 54], [35, 15, 65]] ------------------------------ Epoch 094 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.762013 - Iter 024 / 025, Loss: 0.896043 * Train accuracy / confusion: 60.50% / [[287, 55, 15], [95, 122, 48], [35, 68, 75]], * Val accuracy / confusion: 57.88% / [[165, 58, 7], [59, 94, 22], [19, 54, 42]] ------------------------------ Epoch 095 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.928908 - Iter 024 / 025, Loss: 0.818020 * Train accuracy / confusion: 57.62% / [[266, 65, 25], [99, 109, 59], [29, 62, 86]], * Val accuracy / confusion: 54.81% / [[176, 22, 32], [70, 24, 81], [23, 7, 85]] ------------------------------ Epoch 096 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.765838 - Iter 024 / 025, Loss: 0.862555 * Train accuracy / confusion: 58.75% / [[283, 54, 18], [113, 100, 57], [36, 52, 87]], * Val accuracy / confusion: 53.65% / [[198, 29, 3], [98, 63, 14], [32, 65, 18]] ------------------------------ Epoch 097 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.009761 - Iter 024 / 025, Loss: 0.738070 * Train accuracy / confusion: 57.12% / [[270, 71, 15], [96, 136, 40], [32, 89, 51]], * Val accuracy / confusion: 56.35% / [[157, 67, 6], [49, 98, 28], [14, 63, 38]] ------------------------------ Epoch 098 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.771959 - Iter 024 / 025, Loss: 0.767385 * Train accuracy / confusion: 61.50% / [[286, 52, 19], [94, 124, 51], [35, 57, 82]], * Val accuracy / confusion: 51.54% / [[96, 121, 13], [12, 123, 40], [8, 58, 49]] ------------------------------ Epoch 099 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.770378 - Iter 024 / 025, Loss: 0.837501 * Train accuracy / confusion: 58.88% / [[270, 73, 13], [88, 134, 46], [34, 75, 67]], * Val accuracy / confusion: 57.88% / [[169, 43, 18], [58, 72, 45], [25, 30, 60]] ------------------------------ Epoch 100 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.905164 - Iter 024 / 025, Loss: 0.836407 * Train accuracy / confusion: 57.62% / [[261, 76, 18], [90, 131, 46], [32, 77, 69]], * Val accuracy / confusion: 55.58% / [[185, 41, 4], [81, 62, 32], [28, 45, 42]] ------------------------------ Epoch 101 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.741386 - Iter 024 / 025, Loss: 0.759245 * Train accuracy / confusion: 58.75% / [[289, 55, 17], [113, 106, 47], [36, 62, 75]], * Val accuracy / confusion: 52.50% / [[152, 72, 6], [50, 105, 20], [19, 80, 16]] ------------------------------ Epoch 102 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.718065 - Iter 024 / 025, Loss: 1.017492 * Train accuracy / confusion: 56.38% / [[279, 57, 21], [112, 101, 53], [42, 64, 71]], * Val accuracy / confusion: 57.31% / [[169, 42, 19], [59, 62, 54], [25, 23, 67]] ------------------------------ Epoch 103 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.750491 - Iter 024 / 025, Loss: 0.809728 * Train accuracy / confusion: 58.62% / [[269, 71, 20], [95, 116, 54], [33, 58, 84]], * Val accuracy / confusion: 56.54% / [[190, 22, 18], [83, 40, 52], [28, 23, 64]] ------------------------------ Epoch 104 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.703071 - Iter 024 / 025, Loss: 0.769584 * Train accuracy / confusion: 60.62% / [[267, 61, 22], [96, 113, 61], [38, 37, 105]], * Val accuracy / confusion: 56.92% / [[160, 40, 30], [53, 69, 53], [18, 30, 67]] ------------------------------ Epoch 105 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.790735 - Iter 024 / 025, Loss: 0.962779 * Train accuracy / confusion: 61.62% / [[283, 56, 18], [97, 128, 40], [34, 62, 82]], * Val accuracy / confusion: 58.27% / [[175, 44, 11], [73, 75, 27], [29, 33, 53]] ------------------------------ Epoch 106 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.969038 - Iter 024 / 025, Loss: 0.895633 * Train accuracy / confusion: 59.50% / [[252, 75, 26], [80, 131, 60], [27, 56, 93]], * Val accuracy / confusion: 56.15% / [[154, 63, 13], [48, 90, 37], [18, 49, 48]] ------------------------------ Epoch 107 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.841801 - Iter 024 / 025, Loss: 0.844815 * Train accuracy / confusion: 56.50% / [[261, 69, 31], [95, 131, 40], [32, 81, 60]], * Val accuracy / confusion: 58.85% / [[199, 20, 11], [82, 48, 45], [35, 21, 59]] ------------------------------ Epoch 108 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.002115 - Iter 024 / 025, Loss: 0.775033 * Train accuracy / confusion: 58.50% / [[285, 68, 9], [106, 116, 43], [38, 68, 67]], * Val accuracy / confusion: 54.04% / [[153, 52, 25], [57, 74, 44], [22, 39, 54]] ------------------------------ Epoch 109 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.807754 - Iter 024 / 025, Loss: 0.775786 * Train accuracy / confusion: 56.88% / [[276, 51, 29], [119, 104, 45], [41, 60, 75]], * Val accuracy / confusion: 48.46% / [[98, 126, 6], [19, 142, 14], [9, 94, 12]] ------------------------------ Epoch 110 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.011066 - Iter 024 / 025, Loss: 0.948583 * Train accuracy / confusion: 59.12% / [[264, 75, 15], [80, 150, 39], [34, 84, 59]], * Val accuracy / confusion: 58.27% / [[164, 37, 29], [54, 72, 49], [19, 29, 67]] ------------------------------ Epoch 111 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.694412 - Iter 024 / 025, Loss: 0.817768 * Train accuracy / confusion: 60.25% / [[271, 63, 18], [86, 143, 42], [41, 68, 68]], * Val accuracy / confusion: 53.27% / [[171, 37, 22], [78, 47, 50], [35, 21, 59]] ------------------------------ Epoch 112 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.864581 - Iter 024 / 025, Loss: 0.742927 * Train accuracy / confusion: 59.00% / [[284, 59, 13], [102, 120, 45], [39, 70, 68]], * Val accuracy / confusion: 54.04% / [[162, 67, 1], [65, 91, 19], [25, 62, 28]] ------------------------------ Epoch 113 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.766952 - Iter 024 / 025, Loss: 0.809521 * Train accuracy / confusion: 59.88% / [[275, 62, 21], [88, 131, 48], [37, 65, 73]], * Val accuracy / confusion: 52.12% / [[162, 40, 28], [71, 56, 48], [22, 40, 53]] ------------------------------ Epoch 114 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.739846 - Iter 024 / 025, Loss: 0.792141 * Train accuracy / confusion: 57.88% / [[276, 62, 18], [108, 114, 47], [42, 60, 73]], * Val accuracy / confusion: 52.50% / [[172, 47, 11], [73, 86, 16], [27, 73, 15]] ------------------------------ Epoch 115 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.892049 - Iter 024 / 025, Loss: 0.857584 * Train accuracy / confusion: 60.12% / [[283, 61, 16], [101, 106, 58], [32, 51, 92]], * Val accuracy / confusion: 55.77% / [[168, 36, 26], [73, 66, 36], [23, 36, 56]] ------------------------------ Epoch 116 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.074230 - Iter 024 / 025, Loss: 0.907607 * Train accuracy / confusion: 59.12% / [[288, 54, 19], [106, 114, 42], [32, 74, 71]], * Val accuracy / confusion: 56.73% / [[196, 32, 2], [85, 70, 20], [38, 48, 29]] ------------------------------ Epoch 117 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.900678 - Iter 024 / 025, Loss: 0.925810 * Train accuracy / confusion: 58.00% / [[277, 57, 20], [114, 115, 39], [32, 74, 72]], * Val accuracy / confusion: 56.35% / [[120, 85, 25], [15, 108, 52], [3, 47, 65]] ------------------------------ Epoch 118 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.835595 - Iter 024 / 025, Loss: 0.878457 * Train accuracy / confusion: 59.12% / [[282, 56, 17], [103, 103, 62], [28, 61, 88]], * Val accuracy / confusion: 54.81% / [[154, 50, 26], [53, 71, 51], [19, 36, 60]] ------------------------------ Epoch 119 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.929259 - Iter 024 / 025, Loss: 0.898668 * Train accuracy / confusion: 59.75% / [[285, 55, 17], [107, 110, 50], [36, 57, 83]], * Val accuracy / confusion: 57.31% / [[186, 32, 12], [79, 53, 43], [30, 26, 59]] ------------------------------ Epoch 120 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.759821 - Iter 024 / 025, Loss: 0.845227 * Train accuracy / confusion: 58.88% / [[278, 71, 10], [105, 121, 42], [31, 70, 72]], * Val accuracy / confusion: 51.54% / [[144, 54, 32], [49, 68, 58], [19, 40, 56]] ------------------------------ Epoch 121 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.709780 - Iter 024 / 025, Loss: 1.003188 * Train accuracy / confusion: 58.50% / [[265, 67, 22], [91, 116, 59], [37, 56, 87]], * Val accuracy / confusion: 53.65% / [[195, 21, 14], [93, 47, 35], [53, 25, 37]] ------------------------------ Epoch 122 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.011298 - Iter 024 / 025, Loss: 0.864638 * Train accuracy / confusion: 59.00% / [[262, 62, 29], [88, 110, 71], [36, 42, 100]], * Val accuracy / confusion: 56.15% / [[156, 69, 5], [50, 104, 21], [11, 72, 32]] ------------------------------ Epoch 123 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.780814 - Iter 024 / 025, Loss: 0.942273 * Train accuracy / confusion: 59.50% / [[268, 76, 13], [89, 141, 38], [24, 84, 67]], * Val accuracy / confusion: 56.35% / [[153, 49, 28], [50, 64, 61], [19, 20, 76]] ------------------------------ Epoch 124 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.088964 - Iter 024 / 025, Loss: 0.851207 * Train accuracy / confusion: 58.12% / [[261, 80, 16], [87, 129, 53], [34, 65, 75]], * Val accuracy / confusion: 59.42% / [[168, 54, 8], [51, 86, 38], [17, 43, 55]] ------------------------------ Epoch 125 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.668672 - Iter 024 / 025, Loss: 0.814031 * Train accuracy / confusion: 60.00% / [[276, 68, 16], [90, 123, 53], [36, 57, 81]], * Val accuracy / confusion: 54.04% / [[184, 42, 4], [94, 46, 35], [37, 27, 51]] ------------------------------ Epoch 126 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.864978 - Iter 024 / 025, Loss: 0.863817 * Train accuracy / confusion: 62.12% / [[278, 59, 17], [86, 133, 50], [36, 55, 86]], * Val accuracy / confusion: 55.38% / [[157, 68, 5], [49, 113, 13], [15, 82, 18]] ------------------------------ Epoch 127 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.816710 - Iter 024 / 025, Loss: 0.982879 * Train accuracy / confusion: 57.25% / [[273, 62, 22], [99, 115, 51], [34, 74, 70]], * Val accuracy / confusion: 58.08% / [[188, 37, 5], [86, 72, 17], [26, 47, 42]] ------------------------------ Epoch 128 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.822186 - Iter 024 / 025, Loss: 0.762660 * Train accuracy / confusion: 58.88% / [[285, 47, 16], [117, 115, 43], [44, 62, 71]], * Val accuracy / confusion: 53.08% / [[134, 65, 31], [39, 84, 52], [13, 44, 58]] ------------------------------ Epoch 129 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.721842 - Iter 024 / 025, Loss: 0.859858 * Train accuracy / confusion: 62.25% / [[274, 71, 16], [80, 139, 43], [25, 67, 85]], * Val accuracy / confusion: 55.00% / [[189, 14, 27], [91, 25, 59], [33, 10, 72]] ------------------------------ Epoch 130 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.797696 - Iter 024 / 025, Loss: 0.892835 * Train accuracy / confusion: 60.75% / [[288, 56, 11], [93, 121, 58], [35, 61, 77]], * Val accuracy / confusion: 56.15% / [[175, 54, 1], [60, 98, 17], [15, 81, 19]] ------------------------------ Epoch 131 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.812568 - Iter 024 / 025, Loss: 1.038556 * Train accuracy / confusion: 56.25% / [[244, 75, 35], [92, 122, 56], [37, 55, 84]], * Val accuracy / confusion: 56.73% / [[154, 49, 27], [40, 106, 29], [19, 61, 35]] ------------------------------ Epoch 132 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.775891 - Iter 024 / 025, Loss: 0.784648 * Train accuracy / confusion: 59.12% / [[280, 57, 18], [99, 125, 42], [39, 72, 68]], * Val accuracy / confusion: 57.88% / [[177, 49, 4], [70, 85, 20], [35, 41, 39]] ------------------------------ Epoch 133 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.778912 - Iter 024 / 025, Loss: 1.028783 * Train accuracy / confusion: 62.50% / [[279, 62, 16], [77, 134, 55], [30, 60, 87]], * Val accuracy / confusion: 55.19% / [[188, 24, 18], [88, 57, 30], [36, 37, 42]] ------------------------------ Epoch 134 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.980588 - Iter 024 / 025, Loss: 0.820541 * Train accuracy / confusion: 61.00% / [[272, 67, 17], [88, 131, 48], [37, 55, 85]], * Val accuracy / confusion: 58.08% / [[180, 27, 23], [71, 52, 52], [24, 21, 70]] ------------------------------ Epoch 135 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.917252 - Iter 024 / 025, Loss: 0.854656 * Train accuracy / confusion: 58.62% / [[289, 56, 16], [95, 124, 47], [45, 72, 56]], * Val accuracy / confusion: 56.92% / [[178, 37, 15], [73, 63, 39], [24, 36, 55]] ------------------------------ Epoch 136 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.671496 - Iter 024 / 025, Loss: 0.869357 * Train accuracy / confusion: 61.25% / [[275, 66, 16], [90, 117, 62], [31, 45, 98]], * Val accuracy / confusion: 56.15% / [[135, 84, 11], [41, 108, 26], [12, 54, 49]] ------------------------------ Epoch 137 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.923220 - Iter 024 / 025, Loss: 0.840416 * Train accuracy / confusion: 59.25% / [[285, 55, 16], [103, 115, 52], [48, 52, 74]], * Val accuracy / confusion: 54.23% / [[171, 51, 8], [73, 68, 34], [29, 43, 43]] ------------------------------ Epoch 138 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.857571 - Iter 024 / 025, Loss: 0.870843 * Train accuracy / confusion: 60.50% / [[268, 74, 13], [84, 136, 47], [28, 70, 80]], * Val accuracy / confusion: 54.62% / [[167, 34, 29], [66, 46, 63], [18, 26, 71]] ------------------------------ Epoch 139 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.928249 - Iter 024 / 025, Loss: 0.995754 * Train accuracy / confusion: 61.00% / [[289, 47, 22], [104, 104, 58], [34, 47, 95]], * Val accuracy / confusion: 53.85% / [[147, 61, 22], [42, 74, 59], [11, 45, 59]] ------------------------------ Epoch 140 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.977697 - Iter 024 / 025, Loss: 0.811150 * Train accuracy / confusion: 60.50% / [[280, 61, 15], [102, 132, 36], [34, 68, 72]], * Val accuracy / confusion: 54.62% / [[170, 57, 3], [71, 74, 30], [21, 54, 40]] ------------------------------ Epoch 141 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.682186 - Iter 024 / 025, Loss: 0.806274 * Train accuracy / confusion: 59.88% / [[271, 65, 22], [101, 104, 61], [28, 44, 104]], * Val accuracy / confusion: 48.85% / [[140, 28, 62], [49, 30, 96], [13, 18, 84]] ------------------------------ Epoch 142 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.795761 - Iter 024 / 025, Loss: 0.817208 * Train accuracy / confusion: 61.25% / [[280, 67, 11], [96, 129, 42], [36, 58, 81]], * Val accuracy / confusion: 54.04% / [[187, 31, 12], [77, 48, 50], [28, 41, 46]] ------------------------------ Epoch 143 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.734098 - Iter 024 / 025, Loss: 0.926319 * Train accuracy / confusion: 59.88% / [[267, 80, 13], [83, 150, 33], [30, 82, 62]], * Val accuracy / confusion: 52.69% / [[111, 116, 3], [26, 127, 22], [10, 69, 36]] ------------------------------ Epoch 144 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.863312 - Iter 024 / 025, Loss: 0.789130 * Train accuracy / confusion: 60.12% / [[282, 50, 29], [101, 114, 51], [30, 58, 85]], * Val accuracy / confusion: 54.42% / [[146, 84, 0], [39, 126, 10], [16, 88, 11]] ------------------------------ Epoch 145 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.791115 - Iter 024 / 025, Loss: 0.772378 * Train accuracy / confusion: 60.25% / [[266, 74, 16], [84, 131, 50], [29, 65, 85]], * Val accuracy / confusion: 55.00% / [[169, 34, 27], [73, 41, 61], [21, 18, 76]] ------------------------------ Epoch 146 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.944629 - Iter 024 / 025, Loss: 0.957478 * Train accuracy / confusion: 61.00% / [[273, 62, 20], [93, 121, 52], [33, 52, 94]], * Val accuracy / confusion: 57.50% / [[155, 70, 5], [54, 93, 28], [20, 44, 51]] ------------------------------ Epoch 147 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.722565 - Iter 024 / 025, Loss: 0.973643 * Train accuracy / confusion: 59.38% / [[273, 64, 18], [87, 126, 55], [28, 73, 76]], * Val accuracy / confusion: 53.08% / [[194, 30, 6], [102, 45, 28], [33, 45, 37]] ------------------------------ Epoch 148 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.913133 - Iter 024 / 025, Loss: 0.788046 * Train accuracy / confusion: 59.62% / [[273, 65, 19], [95, 126, 50], [29, 65, 78]], * Val accuracy / confusion: 52.69% / [[158, 52, 20], [65, 58, 52], [21, 36, 58]] ------------------------------ Epoch 149 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.947051 - Iter 024 / 025, Loss: 0.979422 * Train accuracy / confusion: 59.00% / [[289, 48, 18], [109, 100, 59], [35, 59, 83]], * Val accuracy / confusion: 55.77% / [[187, 36, 7], [92, 64, 19], [27, 49, 39]] ------------------------------ Epoch 150 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.931421 - Iter 024 / 025, Loss: 0.824119 * Train accuracy / confusion: 61.00% / [[290, 47, 19], [115, 103, 49], [37, 45, 95]], * Val accuracy / confusion: 53.08% / [[153, 49, 28], [70, 58, 47], [26, 24, 65]] ------------------------------ Epoch 151 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.920891 - Iter 024 / 025, Loss: 0.871308 * Train accuracy / confusion: 59.12% / [[275, 71, 17], [95, 120, 49], [40, 55, 78]], * Val accuracy / confusion: 53.46% / [[155, 53, 22], [58, 79, 38], [19, 52, 44]] ------------------------------ Epoch 152 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.726234 - Iter 024 / 025, Loss: 0.796156 * Train accuracy / confusion: 60.88% / [[279, 49, 24], [100, 122, 49], [35, 56, 86]], * Val accuracy / confusion: 51.35% / [[130, 93, 7], [46, 113, 16], [17, 74, 24]] ------------------------------ Epoch 153 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.030799 - Iter 024 / 025, Loss: 0.697125 * Train accuracy / confusion: 63.38% / [[275, 66, 15], [80, 147, 44], [31, 57, 85]], * Val accuracy / confusion: 54.81% / [[180, 35, 15], [77, 54, 44], [27, 37, 51]] ------------------------------ Epoch 154 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.922676 - Iter 024 / 025, Loss: 0.798291 * Train accuracy / confusion: 60.62% / [[271, 73, 14], [93, 135, 41], [26, 68, 79]], * Val accuracy / confusion: 56.15% / [[173, 53, 4], [72, 80, 23], [30, 46, 39]] ------------------------------ Epoch 155 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.842558 - Iter 024 / 025, Loss: 0.819383 * Train accuracy / confusion: 63.75% / [[274, 62, 23], [79, 144, 42], [33, 51, 92]], * Val accuracy / confusion: 55.00% / [[142, 76, 12], [43, 91, 41], [15, 47, 53]] ------------------------------ Epoch 156 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.726029 - Iter 024 / 025, Loss: 0.797092 * Train accuracy / confusion: 60.75% / [[270, 70, 16], [87, 131, 50], [28, 63, 85]], * Val accuracy / confusion: 51.54% / [[99, 115, 16], [22, 120, 33], [8, 58, 49]] ------------------------------ Epoch 157 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.843887 - Iter 024 / 025, Loss: 0.665209 * Train accuracy / confusion: 61.00% / [[277, 67, 17], [95, 125, 42], [31, 60, 86]], * Val accuracy / confusion: 55.19% / [[154, 65, 11], [59, 90, 26], [21, 51, 43]] ------------------------------ Epoch 158 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.036279 - Iter 024 / 025, Loss: 0.935623 * Train accuracy / confusion: 60.62% / [[291, 57, 10], [104, 110, 52], [35, 57, 84]], * Val accuracy / confusion: 57.31% / [[179, 36, 15], [73, 69, 33], [21, 44, 50]] ------------------------------ Epoch 159 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.782567 - Iter 024 / 025, Loss: 0.847381 * Train accuracy / confusion: 63.75% / [[276, 60, 23], [85, 136, 49], [26, 47, 98]], * Val accuracy / confusion: 51.35% / [[186, 42, 2], [96, 59, 20], [48, 45, 22]] ------------------------------ Epoch 160 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.907157 - Iter 024 / 025, Loss: 0.795743 * Train accuracy / confusion: 61.38% / [[275, 70, 14], [85, 137, 44], [28, 68, 79]], * Val accuracy / confusion: 57.12% / [[185, 29, 16], [83, 52, 40], [28, 27, 60]] ------------------------------ Epoch 161 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.755186 - Iter 024 / 025, Loss: 0.842046 * Train accuracy / confusion: 61.00% / [[270, 71, 19], [80, 122, 62], [31, 49, 96]], * Val accuracy / confusion: 52.69% / [[160, 57, 13], [72, 74, 29], [19, 56, 40]] ------------------------------ Epoch 162 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.817969 - Iter 024 / 025, Loss: 0.922451 * Train accuracy / confusion: 61.00% / [[269, 66, 20], [88, 144, 37], [34, 67, 75]], * Val accuracy / confusion: 56.54% / [[138, 73, 19], [45, 97, 33], [15, 41, 59]] ------------------------------ Epoch 163 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.834124 - Iter 024 / 025, Loss: 0.987120 * Train accuracy / confusion: 59.25% / [[277, 60, 18], [106, 116, 46], [35, 61, 81]], * Val accuracy / confusion: 54.81% / [[123, 89, 18], [26, 98, 51], [11, 40, 64]] ------------------------------ Epoch 164 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.823399 - Iter 024 / 025, Loss: 1.190788 * Train accuracy / confusion: 60.38% / [[265, 69, 21], [86, 133, 53], [32, 56, 85]], * Val accuracy / confusion: 54.23% / [[180, 21, 29], [79, 34, 62], [25, 22, 68]] ------------------------------ Epoch 165 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.726243 - Iter 024 / 025, Loss: 0.694687 * Train accuracy / confusion: 61.88% / [[274, 63, 20], [89, 132, 44], [39, 50, 89]], * Val accuracy / confusion: 57.88% / [[173, 44, 13], [63, 78, 34], [27, 38, 50]] ------------------------------ Epoch 166 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.890522 - Iter 024 / 025, Loss: 0.627817 * Train accuracy / confusion: 60.88% / [[267, 69, 20], [86, 116, 66], [26, 46, 104]], * Val accuracy / confusion: 54.23% / [[166, 34, 30], [67, 43, 65], [18, 24, 73]] ------------------------------ Epoch 167 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.689681 - Iter 024 / 025, Loss: 0.769932 * Train accuracy / confusion: 59.38% / [[271, 68, 15], [93, 127, 51], [24, 74, 77]], * Val accuracy / confusion: 56.15% / [[151, 71, 8], [52, 95, 28], [18, 51, 46]] ------------------------------ Epoch 168 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.917643 - Iter 024 / 025, Loss: 0.756015 * Train accuracy / confusion: 61.38% / [[264, 70, 20], [94, 126, 47], [34, 44, 101]], * Val accuracy / confusion: 50.00% / [[152, 38, 40], [59, 53, 63], [25, 35, 55]] ------------------------------ Epoch 169 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.979028 - Iter 024 / 025, Loss: 1.033191 * Train accuracy / confusion: 59.25% / [[266, 67, 23], [99, 124, 44], [34, 59, 84]], * Val accuracy / confusion: 55.19% / [[159, 61, 10], [51, 94, 30], [14, 67, 34]] ------------------------------ Epoch 170 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.870075 - Iter 024 / 025, Loss: 0.768051 * Train accuracy / confusion: 60.12% / [[268, 68, 20], [97, 130, 42], [22, 70, 83]], * Val accuracy / confusion: 55.19% / [[152, 64, 14], [59, 77, 39], [17, 40, 58]] ------------------------------ Epoch 171 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.684891 - Iter 024 / 025, Loss: 0.557814 * Train accuracy / confusion: 62.12% / [[277, 62, 13], [91, 124, 57], [32, 48, 96]], * Val accuracy / confusion: 44.62% / [[101, 57, 72], [29, 44, 102], [8, 20, 87]] ------------------------------ Epoch 172 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.782961 - Iter 024 / 025, Loss: 0.821067 * Train accuracy / confusion: 62.88% / [[278, 60, 15], [88, 134, 46], [33, 55, 91]], * Val accuracy / confusion: 55.96% / [[170, 42, 18], [71, 62, 42], [26, 30, 59]] ------------------------------ Epoch 173 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.868268 - Iter 024 / 025, Loss: 0.722320 * Train accuracy / confusion: 59.25% / [[255, 74, 24], [86, 130, 56], [22, 64, 89]], * Val accuracy / confusion: 59.62% / [[172, 56, 2], [64, 87, 24], [23, 41, 51]] ------------------------------ Epoch 174 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.072126 - Iter 024 / 025, Loss: 0.833520 * Train accuracy / confusion: 64.75% / [[289, 64, 10], [82, 132, 51], [28, 47, 97]], * Val accuracy / confusion: 53.46% / [[143, 62, 25], [45, 83, 47], [16, 47, 52]] ------------------------------ Epoch 175 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.795389 - Iter 024 / 025, Loss: 0.721057 * Train accuracy / confusion: 60.50% / [[268, 67, 22], [98, 124, 49], [26, 54, 92]], * Val accuracy / confusion: 53.27% / [[157, 28, 45], [62, 27, 86], [16, 6, 93]] ------------------------------ Epoch 176 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.733146 - Iter 024 / 025, Loss: 0.855746 * Train accuracy / confusion: 62.62% / [[285, 53, 17], [91, 136, 42], [33, 63, 80]], * Val accuracy / confusion: 55.19% / [[138, 89, 3], [50, 106, 19], [15, 57, 43]] ------------------------------ Epoch 177 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.844327 - Iter 024 / 025, Loss: 0.905168 * Train accuracy / confusion: 60.88% / [[256, 75, 19], [84, 141, 49], [31, 55, 90]], * Val accuracy / confusion: 55.58% / [[153, 68, 9], [53, 93, 29], [19, 53, 43]] ------------------------------ Epoch 178 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.932018 - Iter 024 / 025, Loss: 0.928104 * Train accuracy / confusion: 62.12% / [[292, 46, 23], [99, 109, 53], [37, 45, 96]], * Val accuracy / confusion: 57.69% / [[188, 33, 9], [86, 63, 26], [37, 29, 49]] ------------------------------ Epoch 179 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.920013 - Iter 024 / 025, Loss: 0.790430 * Train accuracy / confusion: 60.88% / [[272, 68, 16], [101, 124, 45], [25, 58, 91]], * Val accuracy / confusion: 52.69% / [[111, 102, 17], [28, 107, 40], [11, 48, 56]] ------------------------------ Epoch 180 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.788508 - Iter 024 / 025, Loss: 0.775088 * Train accuracy / confusion: 63.62% / [[272, 72, 19], [84, 133, 49], [21, 46, 104]], * Val accuracy / confusion: 52.69% / [[137, 81, 12], [51, 95, 29], [14, 59, 42]] ------------------------------ Epoch 181 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.027361 - Iter 024 / 025, Loss: 0.746209 * Train accuracy / confusion: 61.12% / [[283, 56, 18], [91, 135, 42], [41, 63, 71]], * Val accuracy / confusion: 59.04% / [[160, 52, 18], [47, 94, 34], [15, 47, 53]] ------------------------------ Epoch 182 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.813170 - Iter 024 / 025, Loss: 0.820445 * Train accuracy / confusion: 61.38% / [[274, 59, 18], [88, 128, 56], [36, 52, 89]], * Val accuracy / confusion: 53.85% / [[139, 83, 8], [40, 112, 23], [15, 71, 29]] ------------------------------ Epoch 183 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.799961 - Iter 024 / 025, Loss: 0.938414 * Train accuracy / confusion: 61.62% / [[268, 77, 11], [84, 128, 57], [23, 55, 97]], * Val accuracy / confusion: 54.42% / [[180, 34, 16], [84, 51, 40], [24, 39, 52]] ------------------------------ Epoch 184 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.728751 - Iter 024 / 025, Loss: 0.832351 * Train accuracy / confusion: 63.38% / [[278, 68, 14], [87, 137, 40], [25, 59, 92]], * Val accuracy / confusion: 53.85% / [[115, 105, 10], [28, 118, 29], [8, 60, 47]] ------------------------------ Epoch 185 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.711234 - Iter 024 / 025, Loss: 1.049547 * Train accuracy / confusion: 60.25% / [[265, 74, 20], [89, 131, 45], [32, 58, 86]], * Val accuracy / confusion: 53.65% / [[161, 49, 20], [64, 60, 51], [21, 36, 58]] ------------------------------ Epoch 186 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.778012 - Iter 024 / 025, Loss: 1.006709 * Train accuracy / confusion: 60.62% / [[274, 69, 12], [92, 120, 56], [34, 52, 91]], * Val accuracy / confusion: 55.19% / [[159, 65, 6], [64, 87, 24], [22, 52, 41]] ------------------------------ Epoch 187 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.877098 - Iter 024 / 025, Loss: 0.806094 * Train accuracy / confusion: 61.88% / [[284, 56, 18], [97, 124, 48], [32, 54, 87]], * Val accuracy / confusion: 54.62% / [[165, 53, 12], [68, 70, 37], [20, 46, 49]] ------------------------------ Epoch 188 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.728036 - Iter 024 / 025, Loss: 0.649377 * Train accuracy / confusion: 62.38% / [[265, 70, 20], [82, 143, 44], [20, 65, 91]], * Val accuracy / confusion: 55.96% / [[190, 30, 10], [85, 60, 30], [27, 47, 41]] ------------------------------ Epoch 189 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.657823 - Iter 024 / 025, Loss: 1.192520 * Train accuracy / confusion: 63.12% / [[259, 76, 22], [75, 154, 38], [28, 56, 92]], * Val accuracy / confusion: 54.81% / [[165, 51, 14], [70, 65, 40], [16, 44, 55]] ------------------------------ Epoch 190 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.774232 - Iter 024 / 025, Loss: 0.764579 * Train accuracy / confusion: 63.38% / [[292, 47, 18], [100, 119, 47], [43, 38, 96]], * Val accuracy / confusion: 55.58% / [[136, 84, 10], [28, 107, 40], [7, 62, 46]] ------------------------------ Epoch 191 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.678434 - Iter 024 / 025, Loss: 0.910492 * Train accuracy / confusion: 65.38% / [[272, 64, 20], [73, 151, 41], [26, 53, 100]], * Val accuracy / confusion: 53.27% / [[159, 56, 15], [66, 62, 47], [21, 38, 56]] ------------------------------ Epoch 192 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.887153 - Iter 024 / 025, Loss: 0.833688 * Train accuracy / confusion: 62.75% / [[273, 53, 28], [89, 131, 49], [25, 54, 98]], * Val accuracy / confusion: 52.69% / [[118, 99, 13], [29, 108, 38], [11, 56, 48]] ------------------------------ Epoch 193 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.810517 - Iter 024 / 025, Loss: 0.764163 * Train accuracy / confusion: 63.50% / [[281, 59, 17], [81, 142, 47], [30, 58, 85]], * Val accuracy / confusion: 55.00% / [[191, 28, 11], [95, 46, 34], [33, 33, 49]] ------------------------------ Epoch 194 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.843292 - Iter 024 / 025, Loss: 0.825292 * Train accuracy / confusion: 62.88% / [[280, 58, 22], [80, 139, 50], [35, 52, 84]], * Val accuracy / confusion: 47.88% / [[116, 88, 26], [43, 91, 41], [14, 59, 42]] ------------------------------ Epoch 195 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.766664 - Iter 024 / 025, Loss: 0.920166 * Train accuracy / confusion: 62.62% / [[261, 74, 21], [73, 154, 39], [29, 63, 86]], * Val accuracy / confusion: 57.69% / [[171, 35, 24], [63, 61, 51], [14, 33, 68]] ------------------------------ Epoch 196 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.755108 - Iter 024 / 025, Loss: 0.739032 * Train accuracy / confusion: 60.75% / [[276, 62, 16], [92, 131, 47], [33, 64, 79]], * Val accuracy / confusion: 57.12% / [[141, 78, 11], [39, 103, 33], [9, 53, 53]] ------------------------------ Epoch 197 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.690198 - Iter 024 / 025, Loss: 0.963937 * Train accuracy / confusion: 61.00% / [[278, 62, 21], [96, 116, 55], [33, 45, 94]], * Val accuracy / confusion: 54.81% / [[176, 52, 2], [73, 80, 22], [18, 68, 29]] ------------------------------ Epoch 198 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.704517 - Iter 024 / 025, Loss: 0.646355 * Train accuracy / confusion: 64.12% / [[281, 57, 18], [87, 126, 55], [19, 51, 106]], * Val accuracy / confusion: 56.35% / [[155, 52, 23], [39, 72, 64], [14, 35, 66]] ------------------------------ Epoch 199 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.572531 - Iter 024 / 025, Loss: 0.897879 * Train accuracy / confusion: 61.12% / [[284, 54, 19], [93, 117, 54], [36, 55, 88]], * Val accuracy / confusion: 55.58% / [[167, 53, 10], [68, 71, 36], [21, 43, 51]] ------------------------------ Epoch 200 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.797031 - Iter 024 / 025, Loss: 0.910092 * Train accuracy / confusion: 61.88% / [[268, 77, 14], [83, 132, 51], [30, 50, 95]], * Val accuracy / confusion: 47.69% / [[142, 20, 68], [59, 16, 100], [19, 6, 90]] ------------------------------ Epoch 201 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.589638 - Iter 024 / 025, Loss: 0.975693 * Train accuracy / confusion: 63.25% / [[288, 50, 17], [99, 125, 47], [32, 49, 93]], * Val accuracy / confusion: 55.77% / [[131, 86, 13], [41, 116, 18], [11, 61, 43]] ------------------------------ Epoch 202 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.009248 - Iter 024 / 025, Loss: 0.712756 * Train accuracy / confusion: 62.75% / [[270, 60, 22], [81, 138, 51], [34, 50, 94]], * Val accuracy / confusion: 55.58% / [[180, 23, 27], [75, 25, 75], [22, 9, 84]] ------------------------------ Epoch 203 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.802367 - Iter 024 / 025, Loss: 1.066020 * Train accuracy / confusion: 61.50% / [[270, 67, 17], [95, 125, 49], [27, 53, 97]], * Val accuracy / confusion: 51.15% / [[142, 65, 23], [51, 73, 51], [16, 48, 51]] ------------------------------ Epoch 204 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.726597 - Iter 024 / 025, Loss: 0.808968 * Train accuracy / confusion: 63.62% / [[287, 52, 15], [97, 126, 45], [34, 48, 96]], * Val accuracy / confusion: 51.73% / [[141, 83, 6], [48, 105, 22], [15, 77, 23]] ------------------------------ Epoch 205 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.841074 - Iter 024 / 025, Loss: 0.679496 * Train accuracy / confusion: 63.38% / [[271, 76, 18], [74, 144, 46], [22, 57, 92]], * Val accuracy / confusion: 53.46% / [[144, 59, 27], [38, 74, 63], [8, 47, 60]] ------------------------------ Epoch 206 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.781393 - Iter 024 / 025, Loss: 0.688136 * Train accuracy / confusion: 64.50% / [[282, 54, 23], [78, 138, 51], [28, 50, 96]], * Val accuracy / confusion: 55.38% / [[162, 64, 4], [64, 98, 13], [25, 62, 28]] ------------------------------ Epoch 207 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.750342 - Iter 024 / 025, Loss: 0.835627 * Train accuracy / confusion: 62.50% / [[276, 70, 10], [93, 132, 44], [22, 61, 92]], * Val accuracy / confusion: 53.08% / [[137, 62, 31], [40, 64, 71], [14, 26, 75]] ------------------------------ Epoch 208 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.719882 - Iter 024 / 025, Loss: 0.799568 * Train accuracy / confusion: 63.75% / [[264, 67, 24], [80, 143, 42], [22, 55, 103]], * Val accuracy / confusion: 53.08% / [[147, 64, 19], [55, 70, 50], [18, 38, 59]] ------------------------------ Epoch 209 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.861089 - Iter 024 / 025, Loss: 0.960280 * Train accuracy / confusion: 63.38% / [[290, 54, 13], [100, 126, 40], [34, 52, 91]], * Val accuracy / confusion: 55.96% / [[166, 36, 28], [68, 57, 50], [21, 26, 68]] ------------------------------ Epoch 210 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.731684 - Iter 024 / 025, Loss: 1.116499 * Train accuracy / confusion: 63.62% / [[275, 65, 19], [72, 152, 43], [32, 60, 82]], * Val accuracy / confusion: 55.00% / [[179, 45, 6], [83, 69, 23], [30, 47, 38]] ------------------------------ Epoch 211 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.914883 - Iter 024 / 025, Loss: 0.752886 * Train accuracy / confusion: 61.88% / [[273, 69, 19], [87, 126, 52], [21, 57, 96]], * Val accuracy / confusion: 56.54% / [[160, 66, 4], [61, 96, 18], [18, 59, 38]] ------------------------------ Epoch 212 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.795235 - Iter 024 / 025, Loss: 0.748378 * Train accuracy / confusion: 62.62% / [[286, 51, 15], [95, 117, 56], [34, 48, 98]], * Val accuracy / confusion: 53.08% / [[146, 65, 19], [55, 76, 44], [19, 42, 54]] ------------------------------ Epoch 213 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.903978 - Iter 024 / 025, Loss: 0.860489 * Train accuracy / confusion: 62.38% / [[278, 67, 14], [93, 123, 50], [19, 58, 98]], * Val accuracy / confusion: 55.58% / [[189, 27, 14], [87, 48, 40], [32, 31, 52]] ------------------------------ Epoch 214 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.688515 - Iter 024 / 025, Loss: 0.891542 * Train accuracy / confusion: 66.88% / [[283, 54, 19], [79, 136, 50], [24, 39, 116]], * Val accuracy / confusion: 51.73% / [[143, 61, 26], [56, 70, 49], [15, 44, 56]] ------------------------------ Epoch 215 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.982463 - Iter 024 / 025, Loss: 0.771241 * Train accuracy / confusion: 65.38% / [[284, 59, 15], [85, 139, 41], [30, 47, 100]], * Val accuracy / confusion: 54.42% / [[179, 39, 12], [81, 55, 39], [29, 37, 49]] ------------------------------ Epoch 216 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.625645 - Iter 024 / 025, Loss: 0.952114 * Train accuracy / confusion: 66.00% / [[284, 58, 18], [82, 139, 45], [18, 51, 105]], * Val accuracy / confusion: 52.50% / [[145, 74, 11], [66, 85, 24], [20, 52, 43]] ------------------------------ Epoch 217 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.558843 - Iter 024 / 025, Loss: 0.839115 * Train accuracy / confusion: 65.75% / [[273, 71, 15], [75, 155, 35], [23, 55, 98]], * Val accuracy / confusion: 51.73% / [[126, 86, 18], [30, 98, 47], [8, 62, 45]] ------------------------------ Epoch 218 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.908286 - Iter 024 / 025, Loss: 0.747120 * Train accuracy / confusion: 63.88% / [[277, 60, 17], [83, 137, 47], [30, 52, 97]], * Val accuracy / confusion: 52.12% / [[138, 80, 12], [46, 109, 20], [18, 73, 24]] ------------------------------ Epoch 219 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.819170 - Iter 024 / 025, Loss: 0.739247 * Train accuracy / confusion: 63.75% / [[266, 66, 23], [77, 149, 45], [26, 53, 95]], * Val accuracy / confusion: 55.96% / [[194, 27, 9], [87, 49, 39], [35, 32, 48]] ------------------------------ Epoch 220 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.767674 - Iter 024 / 025, Loss: 1.039932 * Train accuracy / confusion: 62.50% / [[289, 57, 17], [95, 112, 57], [31, 43, 99]], * Val accuracy / confusion: 53.27% / [[157, 54, 19], [57, 70, 48], [16, 49, 50]] ------------------------------ Epoch 221 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.892101 - Iter 024 / 025, Loss: 0.779754 * Train accuracy / confusion: 65.38% / [[278, 62, 16], [85, 140, 42], [24, 48, 105]], * Val accuracy / confusion: 52.31% / [[137, 74, 19], [54, 85, 36], [13, 52, 50]] ------------------------------ Epoch 222 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.781219 - Iter 024 / 025, Loss: 0.807207 * Train accuracy / confusion: 62.75% / [[291, 50, 15], [103, 120, 47], [29, 54, 91]], * Val accuracy / confusion: 51.73% / [[195, 34, 1], [111, 43, 21], [43, 41, 31]] ------------------------------ Epoch 223 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.786052 - Iter 024 / 025, Loss: 0.941980 * Train accuracy / confusion: 64.88% / [[273, 65, 20], [80, 149, 38], [35, 43, 97]], * Val accuracy / confusion: 52.69% / [[173, 36, 21], [84, 41, 50], [26, 29, 60]] ------------------------------ Epoch 224 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.764461 - Iter 024 / 025, Loss: 0.630177 * Train accuracy / confusion: 64.38% / [[271, 73, 12], [67, 160, 40], [26, 67, 84]], * Val accuracy / confusion: 50.96% / [[153, 71, 6], [63, 89, 23], [21, 71, 23]] ------------------------------ Epoch 225 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.708183 - Iter 024 / 025, Loss: 0.693771 * Train accuracy / confusion: 61.88% / [[263, 67, 24], [85, 128, 54], [25, 50, 104]], * Val accuracy / confusion: 55.19% / [[151, 67, 12], [50, 95, 30], [13, 61, 41]] ------------------------------ Epoch 226 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.901322 - Iter 024 / 025, Loss: 0.752038 * Train accuracy / confusion: 60.25% / [[260, 78, 18], [88, 142, 39], [35, 60, 80]], * Val accuracy / confusion: 54.81% / [[162, 60, 8], [62, 74, 39], [24, 42, 49]] ------------------------------ Epoch 227 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.778200 - Iter 024 / 025, Loss: 1.003572 * Train accuracy / confusion: 64.38% / [[269, 72, 18], [76, 144, 45], [19, 55, 102]], * Val accuracy / confusion: 55.58% / [[179, 41, 10], [82, 58, 35], [25, 38, 52]] ------------------------------ Epoch 228 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.778460 - Iter 024 / 025, Loss: 0.767604 * Train accuracy / confusion: 61.88% / [[277, 68, 11], [80, 141, 46], [26, 74, 77]], * Val accuracy / confusion: 53.27% / [[141, 68, 21], [50, 74, 51], [15, 38, 62]] ------------------------------ Epoch 229 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.770760 - Iter 024 / 025, Loss: 0.584859 * Train accuracy / confusion: 63.75% / [[282, 61, 14], [92, 132, 40], [35, 48, 96]], * Val accuracy / confusion: 56.92% / [[156, 55, 19], [49, 83, 43], [16, 42, 57]] ------------------------------ Epoch 230 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.743307 - Iter 024 / 025, Loss: 0.651261 * Train accuracy / confusion: 64.38% / [[264, 74, 16], [74, 158, 37], [28, 56, 93]], * Val accuracy / confusion: 50.58% / [[133, 72, 25], [59, 75, 41], [15, 45, 55]] ------------------------------ Epoch 231 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.774943 - Iter 024 / 025, Loss: 0.712020 * Train accuracy / confusion: 68.25% / [[294, 53, 14], [90, 144, 32], [27, 38, 108]], * Val accuracy / confusion: 55.58% / [[195, 27, 8], [99, 36, 40], [38, 19, 58]] ------------------------------ Epoch 232 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.692982 - Iter 024 / 025, Loss: 1.236260 * Train accuracy / confusion: 63.38% / [[266, 75, 15], [79, 145, 44], [19, 61, 96]], * Val accuracy / confusion: 55.00% / [[141, 70, 19], [57, 96, 22], [17, 49, 49]] ------------------------------ Epoch 233 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.623421 - Iter 024 / 025, Loss: 1.173346 * Train accuracy / confusion: 64.38% / [[274, 62, 23], [74, 149, 43], [31, 52, 92]], * Val accuracy / confusion: 55.19% / [[155, 57, 18], [56, 89, 30], [20, 52, 43]] ------------------------------ Epoch 234 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.787854 - Iter 024 / 025, Loss: 0.970626 * Train accuracy / confusion: 64.62% / [[288, 55, 12], [91, 134, 43], [27, 55, 95]], * Val accuracy / confusion: 54.62% / [[159, 62, 9], [66, 83, 26], [20, 53, 42]] ------------------------------ Epoch 235 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.824497 - Iter 024 / 025, Loss: 0.745857 * Train accuracy / confusion: 63.38% / [[287, 59, 14], [83, 139, 41], [22, 74, 81]], * Val accuracy / confusion: 57.69% / [[168, 45, 17], [64, 73, 38], [21, 35, 59]] ------------------------------ Epoch 236 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.591822 - Iter 024 / 025, Loss: 0.719120 * Train accuracy / confusion: 63.50% / [[286, 55, 17], [82, 136, 49], [30, 59, 86]], * Val accuracy / confusion: 53.08% / [[128, 89, 13], [48, 91, 36], [14, 44, 57]] ------------------------------ Epoch 237 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.606495 - Iter 024 / 025, Loss: 0.680857 * Train accuracy / confusion: 63.88% / [[278, 62, 16], [85, 142, 46], [23, 57, 91]], * Val accuracy / confusion: 49.81% / [[115, 103, 12], [34, 124, 17], [9, 86, 20]] ------------------------------ Epoch 238 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.006053 - Iter 024 / 025, Loss: 0.669046 * Train accuracy / confusion: 63.25% / [[269, 71, 11], [74, 152, 45], [27, 66, 85]], * Val accuracy / confusion: 53.46% / [[141, 61, 28], [49, 69, 57], [19, 28, 68]] ------------------------------ Epoch 239 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.913837 - Iter 024 / 025, Loss: 0.814611 * Train accuracy / confusion: 62.75% / [[279, 58, 16], [89, 125, 55], [21, 59, 98]], * Val accuracy / confusion: 54.42% / [[144, 70, 16], [56, 81, 38], [16, 41, 58]] ------------------------------ Epoch 240 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.715591 - Iter 024 / 025, Loss: 0.816416 * Train accuracy / confusion: 64.50% / [[269, 64, 19], [79, 143, 50], [26, 46, 104]], * Val accuracy / confusion: 53.27% / [[154, 59, 17], [65, 70, 40], [20, 42, 53]] ------------------------------ Epoch 241 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.725779 - Iter 024 / 025, Loss: 0.705927 * Train accuracy / confusion: 63.12% / [[270, 68, 19], [86, 138, 39], [26, 57, 97]], * Val accuracy / confusion: 54.81% / [[156, 42, 32], [47, 78, 50], [14, 50, 51]] ------------------------------ Epoch 242 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.664750 - Iter 024 / 025, Loss: 0.735575 * Train accuracy / confusion: 65.75% / [[282, 52, 23], [88, 127, 51], [24, 36, 117]], * Val accuracy / confusion: 55.77% / [[141, 76, 13], [45, 99, 31], [12, 53, 50]] ------------------------------ Epoch 243 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.059935 - Iter 024 / 025, Loss: 0.919728 * Train accuracy / confusion: 63.00% / [[280, 58, 12], [81, 139, 51], [29, 65, 85]], * Val accuracy / confusion: 54.62% / [[182, 36, 12], [95, 58, 22], [28, 43, 44]] ------------------------------ Epoch 244 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.856095 - Iter 024 / 025, Loss: 0.660052 * Train accuracy / confusion: 61.25% / [[264, 75, 21], [82, 129, 58], [28, 46, 97]], * Val accuracy / confusion: 53.46% / [[174, 38, 18], [80, 56, 39], [20, 47, 48]] ------------------------------ Epoch 245 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.900828 - Iter 024 / 025, Loss: 0.856494 * Train accuracy / confusion: 64.38% / [[289, 49, 17], [93, 133, 41], [21, 64, 93]], * Val accuracy / confusion: 50.96% / [[136, 71, 23], [63, 77, 35], [17, 46, 52]] ------------------------------ Epoch 246 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.884820 - Iter 024 / 025, Loss: 0.704128 * Train accuracy / confusion: 63.75% / [[274, 57, 23], [89, 137, 45], [27, 49, 99]], * Val accuracy / confusion: 55.77% / [[157, 59, 14], [61, 64, 50], [16, 30, 69]] ------------------------------ Epoch 247 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.608422 - Iter 024 / 025, Loss: 0.714944 * Train accuracy / confusion: 64.88% / [[285, 57, 15], [77, 137, 53], [25, 54, 97]], * Val accuracy / confusion: 55.00% / [[148, 61, 21], [49, 83, 43], [12, 48, 55]] ------------------------------ Epoch 248 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.766277 - Iter 024 / 025, Loss: 0.821377 * Train accuracy / confusion: 65.62% / [[279, 55, 21], [79, 148, 41], [19, 60, 98]], * Val accuracy / confusion: 54.81% / [[169, 53, 8], [75, 61, 39], [23, 37, 55]] ------------------------------ Epoch 249 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.942760 - Iter 024 / 025, Loss: 0.612326 * Train accuracy / confusion: 63.62% / [[261, 72, 23], [79, 148, 43], [20, 54, 100]], * Val accuracy / confusion: 54.42% / [[144, 60, 26], [59, 81, 35], [14, 43, 58]] ------------------------------ Epoch 250 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.810600 - Iter 024 / 025, Loss: 0.664662 * Train accuracy / confusion: 66.62% / [[296, 44, 15], [86, 137, 44], [32, 46, 100]], * Val accuracy / confusion: 57.12% / [[161, 61, 8], [63, 82, 30], [16, 45, 54]] ------------------------------ Epoch 251 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.875547 - Iter 024 / 025, Loss: 0.820870 * Train accuracy / confusion: 63.25% / [[271, 70, 18], [81, 131, 51], [24, 50, 104]], * Val accuracy / confusion: 52.12% / [[131, 93, 6], [55, 99, 21], [12, 62, 41]] ------------------------------ Epoch 252 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.948187 - Iter 024 / 025, Loss: 0.798691 * Train accuracy / confusion: 64.50% / [[283, 52, 21], [83, 128, 56], [25, 47, 105]], * Val accuracy / confusion: 54.81% / [[154, 67, 9], [68, 81, 26], [21, 44, 50]] ------------------------------ Epoch 253 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.656007 - Iter 024 / 025, Loss: 0.888784 * Train accuracy / confusion: 65.50% / [[272, 74, 12], [71, 155, 43], [20, 56, 97]], * Val accuracy / confusion: 57.31% / [[186, 30, 14], [82, 60, 33], [32, 31, 52]] ------------------------------ Epoch 254 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.966926 - Iter 024 / 025, Loss: 1.036417 * Train accuracy / confusion: 64.88% / [[282, 57, 17], [78, 147, 42], [34, 53, 90]], * Val accuracy / confusion: 46.35% / [[96, 73, 61], [40, 67, 68], [5, 32, 78]] ------------------------------ Epoch 255 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.799729 - Iter 024 / 025, Loss: 1.040066 * Train accuracy / confusion: 64.38% / [[267, 73, 16], [78, 144, 47], [25, 46, 104]], * Val accuracy / confusion: 50.38% / [[122, 82, 26], [51, 76, 48], [11, 40, 64]] ------------------------------ Epoch 256 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.794748 - Iter 024 / 025, Loss: 0.804154 * Train accuracy / confusion: 61.12% / [[269, 74, 20], [92, 120, 48], [27, 50, 100]], * Val accuracy / confusion: 53.85% / [[170, 41, 19], [75, 50, 50], [20, 35, 60]] ------------------------------ Epoch 257 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.020256 - Iter 024 / 025, Loss: 0.773087 * Train accuracy / confusion: 65.88% / [[286, 56, 16], [79, 152, 37], [26, 59, 89]], * Val accuracy / confusion: 54.81% / [[163, 59, 8], [77, 75, 23], [20, 48, 47]] ------------------------------ Epoch 258 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.662568 - Iter 024 / 025, Loss: 0.889339 * Train accuracy / confusion: 66.12% / [[274, 58, 17], [75, 153, 44], [30, 47, 102]], * Val accuracy / confusion: 60.58% / [[194, 21, 15], [82, 52, 41], [24, 22, 69]] ------------------------------ Epoch 259 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.783459 - Iter 024 / 025, Loss: 0.720764 * Train accuracy / confusion: 65.62% / [[282, 63, 12], [68, 158, 42], [25, 65, 85]], * Val accuracy / confusion: 50.77% / [[129, 74, 27], [57, 75, 43], [10, 45, 60]] ------------------------------ Epoch 260 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.783833 - Iter 024 / 025, Loss: 0.956994 * Train accuracy / confusion: 67.12% / [[266, 71, 18], [65, 162, 46], [22, 41, 109]], * Val accuracy / confusion: 54.23% / [[145, 74, 11], [62, 93, 20], [19, 52, 44]] ------------------------------ Epoch 261 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.828732 - Iter 024 / 025, Loss: 0.731798 * Train accuracy / confusion: 64.88% / [[285, 60, 13], [90, 141, 36], [23, 59, 93]], * Val accuracy / confusion: 55.38% / [[140, 78, 12], [40, 107, 28], [18, 56, 41]] ------------------------------ Epoch 262 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.891088 - Iter 024 / 025, Loss: 0.823171 * Train accuracy / confusion: 65.75% / [[281, 62, 15], [84, 134, 43], [25, 45, 111]], * Val accuracy / confusion: 52.50% / [[182, 37, 11], [98, 52, 25], [32, 44, 39]] ------------------------------ Epoch 263 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.717762 - Iter 024 / 025, Loss: 0.796857 * Train accuracy / confusion: 66.75% / [[289, 56, 15], [74, 146, 43], [25, 53, 99]], * Val accuracy / confusion: 55.00% / [[154, 63, 13], [61, 68, 46], [18, 33, 64]] ------------------------------ Epoch 264 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.978103 - Iter 024 / 025, Loss: 0.840736 * Train accuracy / confusion: 65.50% / [[278, 58, 16], [83, 141, 44], [22, 53, 105]], * Val accuracy / confusion: 54.23% / [[168, 58, 4], [70, 88, 17], [25, 64, 26]] ------------------------------ Epoch 265 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.638442 - Iter 024 / 025, Loss: 0.834331 * Train accuracy / confusion: 65.50% / [[276, 61, 16], [77, 147, 49], [21, 52, 101]], * Val accuracy / confusion: 55.19% / [[156, 56, 18], [59, 71, 45], [13, 42, 60]] ------------------------------ Epoch 266 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.764014 - Iter 024 / 025, Loss: 0.756532 * Train accuracy / confusion: 66.00% / [[279, 66, 8], [79, 155, 38], [26, 55, 94]], * Val accuracy / confusion: 53.08% / [[133, 68, 29], [48, 70, 57], [18, 24, 73]] ------------------------------ Epoch 267 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.019139 - Iter 024 / 025, Loss: 1.023485 * Train accuracy / confusion: 66.62% / [[286, 61, 14], [78, 150, 40], [34, 40, 97]], * Val accuracy / confusion: 56.54% / [[160, 60, 10], [64, 76, 35], [16, 41, 58]] ------------------------------ Epoch 268 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.568630 - Iter 024 / 025, Loss: 0.889471 * Train accuracy / confusion: 66.75% / [[279, 58, 20], [81, 145, 41], [20, 46, 110]], * Val accuracy / confusion: 54.04% / [[162, 59, 9], [76, 69, 30], [19, 46, 50]] ------------------------------ Epoch 269 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.765539 - Iter 024 / 025, Loss: 0.831072 * Train accuracy / confusion: 64.38% / [[289, 57, 10], [85, 142, 43], [30, 60, 84]], * Val accuracy / confusion: 57.69% / [[174, 39, 17], [68, 61, 46], [25, 25, 65]] ------------------------------ Epoch 270 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.807191 - Iter 024 / 025, Loss: 0.662560 * Train accuracy / confusion: 64.38% / [[266, 69, 22], [75, 145, 48], [31, 40, 104]], * Val accuracy / confusion: 52.12% / [[144, 65, 21], [62, 82, 31], [17, 53, 45]] ------------------------------ Epoch 271 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.736695 - Iter 024 / 025, Loss: 0.846123 * Train accuracy / confusion: 66.75% / [[274, 67, 15], [60, 168, 40], [20, 64, 92]], * Val accuracy / confusion: 52.88% / [[132, 74, 24], [51, 78, 46], [12, 38, 65]] ------------------------------ Epoch 272 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.842188 - Iter 024 / 025, Loss: 0.833222 * Train accuracy / confusion: 66.88% / [[291, 50, 14], [71, 152, 43], [31, 56, 92]], * Val accuracy / confusion: 53.08% / [[146, 59, 25], [63, 69, 43], [20, 34, 61]] ------------------------------ Epoch 273 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.988243 - Iter 024 / 025, Loss: 0.748540 * Train accuracy / confusion: 69.00% / [[289, 46, 18], [79, 151, 39], [30, 36, 112]], * Val accuracy / confusion: 56.35% / [[186, 40, 4], [90, 63, 22], [27, 44, 44]] ------------------------------ Epoch 274 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.021680 - Iter 024 / 025, Loss: 0.735283 * Train accuracy / confusion: 66.62% / [[277, 58, 20], [76, 150, 41], [24, 48, 106]], * Val accuracy / confusion: 55.58% / [[175, 51, 4], [83, 69, 23], [29, 41, 45]] ------------------------------ Epoch 275 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.682272 - Iter 024 / 025, Loss: 0.723284 * Train accuracy / confusion: 66.12% / [[276, 64, 13], [86, 153, 32], [25, 51, 100]], * Val accuracy / confusion: 55.19% / [[158, 66, 6], [57, 90, 28], [20, 56, 39]] ------------------------------ Epoch 276 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.721684 - Iter 024 / 025, Loss: 0.863494 * Train accuracy / confusion: 67.25% / [[265, 72, 17], [70, 151, 48], [26, 29, 122]], * Val accuracy / confusion: 55.38% / [[159, 60, 11], [69, 88, 18], [19, 55, 41]] ------------------------------ Epoch 277 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.595678 - Iter 024 / 025, Loss: 0.688545 * Train accuracy / confusion: 65.00% / [[284, 64, 9], [90, 132, 46], [26, 45, 104]], * Val accuracy / confusion: 56.73% / [[166, 59, 5], [76, 78, 21], [29, 35, 51]] ------------------------------ Epoch 278 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.638629 - Iter 024 / 025, Loss: 0.807288 * Train accuracy / confusion: 65.12% / [[273, 62, 20], [76, 146, 48], [23, 50, 102]], * Val accuracy / confusion: 53.65% / [[134, 73, 23], [48, 87, 40], [13, 44, 58]] ------------------------------ Epoch 279 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.797279 - Iter 024 / 025, Loss: 0.852626 * Train accuracy / confusion: 66.25% / [[278, 61, 17], [82, 146, 41], [21, 48, 106]], * Val accuracy / confusion: 55.77% / [[180, 22, 28], [89, 30, 56], [21, 14, 80]] ------------------------------ Epoch 280 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.864542 - Iter 024 / 025, Loss: 0.683163 * Train accuracy / confusion: 64.25% / [[277, 67, 17], [79, 143, 46], [22, 55, 94]], * Val accuracy / confusion: 56.73% / [[166, 57, 7], [65, 77, 33], [17, 46, 52]] ------------------------------ Epoch 281 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.951588 - Iter 024 / 025, Loss: 0.789910 * Train accuracy / confusion: 65.88% / [[286, 60, 10], [85, 151, 33], [25, 60, 90]], * Val accuracy / confusion: 55.00% / [[138, 65, 27], [47, 82, 46], [16, 33, 66]] ------------------------------ Epoch 282 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.779344 - Iter 024 / 025, Loss: 0.948243 * Train accuracy / confusion: 66.12% / [[281, 56, 20], [82, 144, 46], [19, 48, 104]], * Val accuracy / confusion: 52.31% / [[179, 48, 3], [90, 63, 22], [28, 57, 30]] ------------------------------ Epoch 283 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.673744 - Iter 024 / 025, Loss: 0.814737 * Train accuracy / confusion: 66.62% / [[286, 58, 12], [73, 149, 42], [21, 61, 98]], * Val accuracy / confusion: 54.62% / [[167, 55, 8], [70, 80, 25], [21, 57, 37]] ------------------------------ Epoch 284 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.932270 - Iter 024 / 025, Loss: 0.734149 * Train accuracy / confusion: 67.38% / [[287, 50, 22], [80, 148, 38], [25, 46, 104]], * Val accuracy / confusion: 53.85% / [[172, 35, 23], [79, 46, 50], [25, 28, 62]] ------------------------------ Epoch 285 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.647120 - Iter 024 / 025, Loss: 0.793979 * Train accuracy / confusion: 65.38% / [[281, 63, 14], [78, 146, 42], [29, 51, 96]], * Val accuracy / confusion: 52.31% / [[161, 32, 37], [70, 46, 59], [24, 26, 65]] ------------------------------ Epoch 286 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.773915 - Iter 024 / 025, Loss: 0.785136 * Train accuracy / confusion: 65.25% / [[269, 71, 16], [75, 149, 40], [24, 52, 104]], * Val accuracy / confusion: 53.46% / [[156, 62, 12], [62, 87, 26], [15, 65, 35]] ------------------------------ Epoch 287 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.649300 - Iter 024 / 025, Loss: 0.857710 * Train accuracy / confusion: 65.00% / [[271, 58, 27], [76, 151, 42], [32, 45, 98]], * Val accuracy / confusion: 57.88% / [[140, 78, 12], [37, 116, 22], [16, 54, 45]] ------------------------------ Epoch 288 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.699884 - Iter 024 / 025, Loss: 0.851953 * Train accuracy / confusion: 67.00% / [[288, 47, 17], [83, 153, 37], [22, 58, 95]], * Val accuracy / confusion: 55.00% / [[167, 50, 13], [70, 63, 42], [26, 33, 56]] ------------------------------ Epoch 289 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.875490 - Iter 024 / 025, Loss: 0.680223 * Train accuracy / confusion: 66.38% / [[284, 48, 26], [87, 133, 44], [15, 49, 114]], * Val accuracy / confusion: 53.46% / [[135, 57, 38], [49, 77, 49], [14, 35, 66]] ------------------------------ Epoch 290 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.833225 - Iter 024 / 025, Loss: 0.883616 * Train accuracy / confusion: 67.50% / [[282, 61, 14], [73, 161, 34], [27, 51, 97]], * Val accuracy / confusion: 53.46% / [[159, 67, 4], [68, 89, 18], [16, 69, 30]] ------------------------------ Epoch 291 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.719840 - Iter 024 / 025, Loss: 0.672696 * Train accuracy / confusion: 67.12% / [[282, 56, 17], [88, 143, 38], [22, 42, 112]], * Val accuracy / confusion: 51.15% / [[149, 70, 11], [62, 67, 46], [22, 43, 50]] ------------------------------ Epoch 292 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.712892 - Iter 024 / 025, Loss: 0.979615 * Train accuracy / confusion: 67.62% / [[287, 58, 13], [80, 143, 41], [22, 45, 111]], * Val accuracy / confusion: 52.69% / [[178, 48, 4], [97, 62, 16], [35, 46, 34]] ------------------------------ Epoch 293 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.662737 - Iter 024 / 025, Loss: 0.875302 * Train accuracy / confusion: 65.75% / [[284, 60, 13], [80, 144, 45], [16, 60, 98]], * Val accuracy / confusion: 54.23% / [[129, 80, 21], [39, 90, 46], [16, 36, 63]] ------------------------------ Epoch 294 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.836191 - Iter 024 / 025, Loss: 0.716180 * Train accuracy / confusion: 65.50% / [[269, 72, 14], [71, 144, 51], [24, 44, 111]], * Val accuracy / confusion: 53.27% / [[163, 60, 7], [76, 62, 37], [22, 41, 52]] ------------------------------ Epoch 295 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.650600 - Iter 024 / 025, Loss: 0.778543 * Train accuracy / confusion: 67.62% / [[295, 48, 13], [82, 138, 44], [27, 45, 108]], * Val accuracy / confusion: 56.54% / [[155, 65, 10], [60, 96, 19], [20, 52, 43]] ------------------------------ Epoch 296 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.766233 - Iter 024 / 025, Loss: 0.714426 * Train accuracy / confusion: 65.50% / [[273, 59, 20], [78, 144, 46], [22, 51, 107]], * Val accuracy / confusion: 52.31% / [[127, 86, 17], [48, 93, 34], [13, 50, 52]] ------------------------------ Epoch 297 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.691105 - Iter 024 / 025, Loss: 0.920355 * Train accuracy / confusion: 66.75% / [[281, 59, 17], [80, 154, 33], [27, 50, 99]], * Val accuracy / confusion: 50.19% / [[135, 65, 30], [59, 55, 61], [15, 29, 71]] ------------------------------ Epoch 298 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.793593 - Iter 024 / 025, Loss: 1.105023 * Train accuracy / confusion: 64.25% / [[275, 73, 14], [74, 144, 46], [21, 58, 95]], * Val accuracy / confusion: 57.69% / [[159, 69, 2], [50, 118, 7], [17, 75, 23]] ------------------------------ Epoch 299 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.897663 - Iter 024 / 025, Loss: 0.990359 * Train accuracy / confusion: 66.62% / [[292, 54, 9], [78, 146, 45], [31, 50, 95]], * Val accuracy / confusion: 57.31% / [[170, 55, 5], [68, 75, 32], [24, 38, 53]] ------------------------------ Epoch 300 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.762961 - Iter 024 / 025, Loss: 0.718695 * Train accuracy / confusion: 67.62% / [[289, 48, 20], [79, 142, 43], [19, 50, 110]], * Val accuracy / confusion: 53.08% / [[141, 79, 10], [56, 97, 22], [12, 65, 38]] ------------------------------ Epoch 301 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.714325 - Iter 024 / 025, Loss: 0.775516 * Train accuracy / confusion: 66.50% / [[284, 61, 15], [78, 143, 41], [33, 40, 105]], * Val accuracy / confusion: 56.15% / [[164, 45, 21], [70, 66, 39], [19, 34, 62]] ------------------------------ Epoch 302 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.735449 - Iter 024 / 025, Loss: 0.738345 * Train accuracy / confusion: 67.12% / [[278, 57, 17], [81, 153, 35], [22, 51, 106]], * Val accuracy / confusion: 53.85% / [[167, 58, 5], [78, 78, 19], [23, 57, 35]] ------------------------------ Epoch 303 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.823990 - Iter 024 / 025, Loss: 0.612874 * Train accuracy / confusion: 66.50% / [[288, 51, 19], [84, 128, 52], [20, 42, 116]], * Val accuracy / confusion: 54.23% / [[173, 46, 11], [69, 73, 33], [23, 56, 36]] ------------------------------ Epoch 304 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.668585 - Iter 024 / 025, Loss: 0.606559 * Train accuracy / confusion: 67.50% / [[288, 54, 14], [80, 154, 34], [26, 52, 98]], * Val accuracy / confusion: 54.42% / [[168, 31, 31], [84, 50, 41], [26, 24, 65]] ------------------------------ Epoch 305 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.729435 - Iter 024 / 025, Loss: 0.681424 * Train accuracy / confusion: 66.12% / [[267, 66, 23], [71, 153, 43], [17, 51, 109]], * Val accuracy / confusion: 50.00% / [[114, 68, 48], [38, 69, 68], [11, 27, 77]] ------------------------------ Epoch 306 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.560030 - Iter 024 / 025, Loss: 0.782563 * Train accuracy / confusion: 69.50% / [[297, 52, 9], [69, 166, 33], [35, 46, 93]], * Val accuracy / confusion: 56.54% / [[156, 63, 11], [68, 92, 15], [21, 48, 46]] ------------------------------ Epoch 307 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.679053 - Iter 024 / 025, Loss: 0.819276 * Train accuracy / confusion: 66.25% / [[284, 62, 11], [69, 149, 49], [23, 56, 97]], * Val accuracy / confusion: 52.88% / [[152, 54, 24], [64, 64, 47], [17, 39, 59]] ------------------------------ Epoch 308 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.565137 - Iter 024 / 025, Loss: 0.865374 * Train accuracy / confusion: 67.50% / [[300, 47, 10], [92, 132, 44], [26, 41, 108]], * Val accuracy / confusion: 54.04% / [[175, 52, 3], [97, 62, 16], [26, 45, 44]] ------------------------------ Epoch 309 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.887670 - Iter 024 / 025, Loss: 0.629796 * Train accuracy / confusion: 66.62% / [[266, 80, 9], [82, 163, 25], [28, 43, 104]], * Val accuracy / confusion: 57.31% / [[160, 64, 6], [61, 92, 22], [18, 51, 46]] ------------------------------ Epoch 310 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.774053 - Iter 024 / 025, Loss: 0.660682 * Train accuracy / confusion: 68.75% / [[285, 52, 17], [80, 153, 36], [19, 46, 112]], * Val accuracy / confusion: 54.04% / [[142, 77, 11], [52, 96, 27], [12, 60, 43]] ------------------------------ Epoch 311 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.563566 - Iter 024 / 025, Loss: 0.899203 * Train accuracy / confusion: 65.88% / [[284, 57, 15], [81, 149, 37], [22, 61, 94]], * Val accuracy / confusion: 55.38% / [[156, 67, 7], [68, 85, 22], [15, 53, 47]] ------------------------------ Epoch 312 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.714454 - Iter 024 / 025, Loss: 0.979485 * Train accuracy / confusion: 66.12% / [[275, 62, 16], [73, 145, 51], [25, 44, 109]], * Val accuracy / confusion: 56.54% / [[198, 29, 3], [105, 49, 21], [46, 22, 47]] ------------------------------ Epoch 313 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.717594 - Iter 024 / 025, Loss: 0.733354 * Train accuracy / confusion: 67.62% / [[279, 57, 18], [74, 158, 38], [23, 49, 104]], * Val accuracy / confusion: 49.23% / [[117, 61, 52], [43, 69, 63], [10, 35, 70]] ------------------------------ Epoch 314 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.759601 - Iter 024 / 025, Loss: 0.938053 * Train accuracy / confusion: 66.12% / [[279, 59, 18], [78, 156, 36], [21, 59, 94]], * Val accuracy / confusion: 56.15% / [[176, 51, 3], [78, 76, 21], [21, 54, 40]] ------------------------------ Epoch 315 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.639094 - Iter 024 / 025, Loss: 0.722926 * Train accuracy / confusion: 65.38% / [[268, 68, 22], [70, 161, 36], [23, 58, 94]], * Val accuracy / confusion: 55.00% / [[159, 62, 9], [65, 93, 17], [22, 59, 34]] ------------------------------ Epoch 316 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.745129 - Iter 024 / 025, Loss: 0.683388 * Train accuracy / confusion: 64.62% / [[263, 72, 18], [76, 154, 39], [21, 57, 100]], * Val accuracy / confusion: 54.42% / [[145, 51, 34], [53, 64, 58], [17, 24, 74]] ------------------------------ Epoch 317 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.661251 - Iter 024 / 025, Loss: 0.587852 * Train accuracy / confusion: 67.50% / [[302, 48, 9], [88, 139, 36], [31, 48, 99]], * Val accuracy / confusion: 55.38% / [[135, 87, 8], [40, 105, 30], [15, 52, 48]] ------------------------------ Epoch 318 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.774754 - Iter 024 / 025, Loss: 0.789320 * Train accuracy / confusion: 67.50% / [[275, 64, 19], [73, 144, 48], [16, 40, 121]], * Val accuracy / confusion: 55.19% / [[150, 50, 30], [61, 69, 45], [14, 33, 68]] ------------------------------ Epoch 319 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.852910 - Iter 024 / 025, Loss: 0.806898 * Train accuracy / confusion: 67.50% / [[280, 61, 14], [77, 163, 29], [21, 58, 97]], * Val accuracy / confusion: 58.46% / [[176, 48, 6], [70, 77, 28], [18, 46, 51]] ------------------------------ Epoch 320 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.773955 - Iter 024 / 025, Loss: 0.718011 * Train accuracy / confusion: 66.38% / [[271, 67, 13], [71, 164, 35], [31, 52, 96]], * Val accuracy / confusion: 54.23% / [[149, 73, 8], [55, 97, 23], [25, 54, 36]] ------------------------------ Epoch 321 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.548485 - Iter 024 / 025, Loss: 0.849071 * Train accuracy / confusion: 67.62% / [[295, 45, 14], [87, 140, 43], [28, 42, 106]], * Val accuracy / confusion: 54.81% / [[153, 61, 16], [68, 81, 26], [19, 45, 51]] ------------------------------ Epoch 322 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.696910 - Iter 024 / 025, Loss: 0.745625 * Train accuracy / confusion: 64.75% / [[277, 67, 12], [73, 160, 36], [20, 74, 81]], * Val accuracy / confusion: 54.04% / [[146, 70, 14], [65, 69, 41], [18, 31, 66]] ------------------------------ Epoch 323 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.716541 - Iter 024 / 025, Loss: 0.660126 * Train accuracy / confusion: 66.12% / [[291, 54, 12], [86, 131, 53], [20, 46, 107]], * Val accuracy / confusion: 55.19% / [[119, 105, 6], [31, 129, 15], [12, 64, 39]] ------------------------------ Epoch 324 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.666103 - Iter 024 / 025, Loss: 0.648244 * Train accuracy / confusion: 68.25% / [[286, 62, 8], [68, 172, 33], [21, 62, 88]], * Val accuracy / confusion: 51.92% / [[132, 73, 25], [59, 84, 32], [18, 43, 54]] ------------------------------ Epoch 325 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.769228 - Iter 024 / 025, Loss: 0.792212 * Train accuracy / confusion: 66.25% / [[276, 58, 20], [76, 149, 41], [27, 48, 105]], * Val accuracy / confusion: 56.92% / [[195, 24, 11], [94, 43, 38], [28, 29, 58]] ------------------------------ Epoch 326 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.656986 - Iter 024 / 025, Loss: 0.727264 * Train accuracy / confusion: 68.50% / [[282, 55, 20], [72, 152, 47], [13, 45, 114]], * Val accuracy / confusion: 52.12% / [[157, 67, 6], [75, 68, 32], [20, 49, 46]] ------------------------------ Epoch 327 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.644216 - Iter 024 / 025, Loss: 1.195884 * Train accuracy / confusion: 66.62% / [[266, 75, 12], [68, 173, 33], [24, 55, 94]], * Val accuracy / confusion: 55.77% / [[149, 75, 6], [57, 108, 10], [17, 65, 33]] ------------------------------ Epoch 328 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.590943 - Iter 024 / 025, Loss: 0.523601 * Train accuracy / confusion: 65.88% / [[276, 54, 25], [84, 142, 44], [19, 47, 109]], * Val accuracy / confusion: 56.15% / [[167, 45, 18], [58, 59, 58], [21, 28, 66]] ------------------------------ Epoch 329 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.704407 - Iter 024 / 025, Loss: 0.451040 * Train accuracy / confusion: 67.12% / [[278, 61, 14], [91, 151, 28], [20, 49, 108]], * Val accuracy / confusion: 54.81% / [[146, 61, 23], [63, 75, 37], [12, 39, 64]] ------------------------------ Epoch 330 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.734328 - Iter 024 / 025, Loss: 0.721733 * Train accuracy / confusion: 67.62% / [[273, 63, 18], [71, 155, 44], [21, 42, 113]], * Val accuracy / confusion: 55.77% / [[152, 75, 3], [59, 98, 18], [15, 60, 40]] ------------------------------ Epoch 331 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.709258 - Iter 024 / 025, Loss: 0.655721 * Train accuracy / confusion: 66.88% / [[275, 68, 15], [72, 153, 39], [27, 44, 107]], * Val accuracy / confusion: 56.54% / [[177, 33, 20], [74, 60, 41], [30, 28, 57]] ------------------------------ Epoch 332 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.681069 - Iter 024 / 025, Loss: 0.664219 * Train accuracy / confusion: 67.12% / [[268, 65, 19], [79, 160, 31], [24, 45, 109]], * Val accuracy / confusion: 54.81% / [[168, 57, 5], [76, 86, 13], [21, 63, 31]] ------------------------------ Epoch 333 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.683424 - Iter 024 / 025, Loss: 0.564575 * Train accuracy / confusion: 68.00% / [[295, 51, 14], [79, 155, 31], [25, 56, 94]], * Val accuracy / confusion: 54.23% / [[193, 34, 3], [106, 50, 19], [44, 32, 39]] ------------------------------ Epoch 334 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.764265 - Iter 024 / 025, Loss: 0.851384 * Train accuracy / confusion: 69.62% / [[278, 52, 24], [66, 162, 43], [19, 39, 117]], * Val accuracy / confusion: 52.69% / [[148, 75, 7], [66, 86, 23], [23, 52, 40]] ------------------------------ Epoch 335 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.700769 - Iter 024 / 025, Loss: 0.623461 * Train accuracy / confusion: 68.75% / [[272, 66, 18], [64, 171, 32], [25, 45, 107]], * Val accuracy / confusion: 50.19% / [[124, 71, 35], [42, 81, 52], [14, 45, 56]] ------------------------------ Epoch 336 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.526522 - Iter 024 / 025, Loss: 0.639046 * Train accuracy / confusion: 68.75% / [[287, 53, 14], [78, 158, 31], [23, 51, 105]], * Val accuracy / confusion: 54.04% / [[151, 61, 18], [66, 69, 40], [16, 38, 61]] ------------------------------ Epoch 337 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.717502 - Iter 024 / 025, Loss: 0.652567 * Train accuracy / confusion: 66.00% / [[263, 73, 20], [83, 156, 27], [25, 44, 109]], * Val accuracy / confusion: 48.08% / [[119, 54, 57], [50, 53, 72], [13, 24, 78]] ------------------------------ Epoch 338 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.707467 - Iter 024 / 025, Loss: 0.943521 * Train accuracy / confusion: 67.50% / [[287, 43, 25], [84, 140, 43], [23, 42, 113]], * Val accuracy / confusion: 55.77% / [[181, 43, 6], [95, 64, 16], [28, 42, 45]] ------------------------------ Epoch 339 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.659804 - Iter 024 / 025, Loss: 0.767196 * Train accuracy / confusion: 67.88% / [[281, 55, 18], [83, 158, 26], [21, 54, 104]], * Val accuracy / confusion: 53.27% / [[169, 53, 8], [85, 61, 29], [34, 34, 47]] ------------------------------ Epoch 340 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.740671 - Iter 024 / 025, Loss: 0.553070 * Train accuracy / confusion: 69.88% / [[288, 55, 12], [67, 154, 44], [21, 42, 117]], * Val accuracy / confusion: 53.27% / [[153, 44, 33], [65, 45, 65], [15, 21, 79]] ------------------------------ Epoch 341 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.607878 - Iter 024 / 025, Loss: 0.806911 * Train accuracy / confusion: 66.62% / [[285, 51, 22], [83, 147, 36], [20, 55, 101]], * Val accuracy / confusion: 54.42% / [[162, 60, 8], [65, 90, 20], [18, 66, 31]] ------------------------------ Epoch 342 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.778091 - Iter 024 / 025, Loss: 0.934003 * Train accuracy / confusion: 66.88% / [[279, 65, 13], [68, 165, 36], [24, 59, 91]], * Val accuracy / confusion: 55.19% / [[156, 63, 11], [68, 73, 34], [16, 41, 58]] ------------------------------ Epoch 343 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.567910 - Iter 024 / 025, Loss: 0.717754 * Train accuracy / confusion: 68.12% / [[281, 57, 17], [82, 151, 35], [20, 44, 113]], * Val accuracy / confusion: 56.35% / [[141, 80, 9], [49, 98, 28], [15, 46, 54]] ------------------------------ Epoch 344 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.669615 - Iter 024 / 025, Loss: 0.844775 * Train accuracy / confusion: 68.62% / [[278, 62, 18], [70, 157, 38], [18, 45, 114]], * Val accuracy / confusion: 55.00% / [[181, 38, 11], [95, 45, 35], [28, 27, 60]] ------------------------------ Epoch 345 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.724810 - Iter 024 / 025, Loss: 0.747035 * Train accuracy / confusion: 68.62% / [[280, 60, 15], [77, 153, 35], [18, 46, 116]], * Val accuracy / confusion: 50.58% / [[114, 89, 27], [42, 94, 39], [6, 54, 55]] ------------------------------ Epoch 346 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.844521 - Iter 024 / 025, Loss: 0.743075 * Train accuracy / confusion: 65.00% / [[275, 60, 19], [82, 145, 46], [24, 49, 100]], * Val accuracy / confusion: 55.19% / [[154, 69, 7], [66, 88, 21], [17, 53, 45]] ------------------------------ Epoch 347 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.906263 - Iter 024 / 025, Loss: 0.679533 * Train accuracy / confusion: 66.38% / [[292, 52, 12], [99, 127, 41], [23, 42, 112]], * Val accuracy / confusion: 58.65% / [[166, 49, 15], [70, 67, 38], [13, 30, 72]] ------------------------------ Epoch 348 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.550715 - Iter 024 / 025, Loss: 0.826120 * Train accuracy / confusion: 68.00% / [[296, 46, 17], [88, 139, 38], [18, 49, 109]], * Val accuracy / confusion: 57.12% / [[185, 36, 9], [79, 50, 46], [20, 33, 62]] ------------------------------ Epoch 349 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.847045 - Iter 024 / 025, Loss: 0.717622 * Train accuracy / confusion: 67.62% / [[283, 56, 16], [77, 148, 41], [25, 44, 110]], * Val accuracy / confusion: 54.04% / [[151, 55, 24], [64, 66, 45], [15, 36, 64]] ------------------------------ Epoch 350 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.551923 - Iter 024 / 025, Loss: 0.674039 * Train accuracy / confusion: 69.38% / [[292, 50, 13], [82, 149, 39], [17, 44, 114]], * Val accuracy / confusion: 54.42% / [[157, 49, 24], [70, 66, 39], [18, 37, 60]] ------------------------------ Epoch 351 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.072447 - Iter 024 / 025, Loss: 0.639077 * Train accuracy / confusion: 68.75% / [[295, 46, 12], [74, 162, 34], [19, 65, 93]], * Val accuracy / confusion: 54.23% / [[168, 53, 9], [84, 65, 26], [19, 47, 49]] ------------------------------ Epoch 352 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.719324 - Iter 024 / 025, Loss: 0.512959 * Train accuracy / confusion: 69.12% / [[294, 51, 10], [73, 154, 39], [22, 52, 105]], * Val accuracy / confusion: 53.27% / [[130, 76, 24], [49, 90, 36], [10, 48, 57]] ------------------------------ Epoch 353 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.623339 - Iter 024 / 025, Loss: 0.909162 * Train accuracy / confusion: 68.12% / [[285, 52, 18], [73, 155, 43], [24, 45, 105]], * Val accuracy / confusion: 50.00% / [[137, 68, 25], [58, 73, 44], [16, 49, 50]] ------------------------------ Epoch 354 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.771196 - Iter 024 / 025, Loss: 0.680740 * Train accuracy / confusion: 66.75% / [[295, 56, 11], [83, 147, 37], [22, 57, 92]], * Val accuracy / confusion: 56.15% / [[153, 66, 11], [59, 80, 36], [20, 36, 59]] ------------------------------ Epoch 355 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.732498 - Iter 024 / 025, Loss: 0.801014 * Train accuracy / confusion: 69.25% / [[290, 60, 8], [78, 146, 43], [19, 38, 118]], * Val accuracy / confusion: 56.35% / [[171, 49, 10], [82, 57, 36], [21, 29, 65]] ------------------------------ Epoch 356 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.614288 - Iter 024 / 025, Loss: 0.788027 * Train accuracy / confusion: 71.75% / [[292, 54, 13], [66, 166, 30], [19, 44, 116]], * Val accuracy / confusion: 56.73% / [[171, 41, 18], [75, 61, 39], [24, 28, 63]] ------------------------------ Epoch 357 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.493680 - Iter 024 / 025, Loss: 0.700108 * Train accuracy / confusion: 68.25% / [[288, 58, 12], [78, 146, 38], [23, 45, 112]], * Val accuracy / confusion: 55.96% / [[178, 43, 9], [87, 56, 32], [20, 38, 57]] ------------------------------ Epoch 358 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.679060 - Iter 024 / 025, Loss: 0.755752 * Train accuracy / confusion: 69.88% / [[293, 53, 11], [75, 156, 38], [21, 43, 110]], * Val accuracy / confusion: 56.92% / [[172, 45, 13], [77, 72, 26], [24, 39, 52]] ------------------------------ Epoch 359 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.645601 - Iter 024 / 025, Loss: 0.679112 * Train accuracy / confusion: 69.00% / [[278, 60, 18], [74, 154, 38], [19, 39, 120]], * Val accuracy / confusion: 50.19% / [[159, 69, 2], [82, 88, 5], [25, 76, 14]] ------------------------------ Epoch 360 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.880533 - Iter 024 / 025, Loss: 0.534130 * Train accuracy / confusion: 69.00% / [[283, 59, 14], [69, 176, 20], [26, 60, 93]], * Val accuracy / confusion: 52.69% / [[156, 57, 17], [74, 54, 47], [20, 31, 64]] ------------------------------ Epoch 361 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.652127 - Iter 024 / 025, Loss: 0.619282 * Train accuracy / confusion: 67.12% / [[274, 59, 26], [85, 139, 41], [15, 37, 124]], * Val accuracy / confusion: 55.38% / [[160, 42, 28], [71, 51, 53], [16, 22, 77]] ------------------------------ Epoch 362 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.545084 - Iter 024 / 025, Loss: 0.722562 * Train accuracy / confusion: 69.50% / [[295, 46, 16], [80, 152, 36], [26, 40, 109]], * Val accuracy / confusion: 56.92% / [[174, 45, 11], [65, 68, 42], [26, 35, 54]] ------------------------------ Epoch 363 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.721216 - Iter 024 / 025, Loss: 0.689149 * Train accuracy / confusion: 69.25% / [[298, 48, 13], [78, 148, 43], [23, 41, 108]], * Val accuracy / confusion: 55.77% / [[175, 44, 11], [73, 70, 32], [24, 46, 45]] ------------------------------ Epoch 364 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.758585 - Iter 024 / 025, Loss: 1.062132 * Train accuracy / confusion: 67.62% / [[287, 51, 11], [78, 156, 38], [24, 57, 98]], * Val accuracy / confusion: 53.46% / [[143, 78, 9], [58, 87, 30], [15, 52, 48]] ------------------------------ Epoch 365 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.584504 - Iter 024 / 025, Loss: 0.560013 * Train accuracy / confusion: 70.38% / [[281, 63, 13], [63, 172, 33], [17, 48, 110]], * Val accuracy / confusion: 56.15% / [[163, 59, 8], [61, 79, 35], [20, 45, 50]] ------------------------------ Epoch 366 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.580463 - Iter 024 / 025, Loss: 0.702232 * Train accuracy / confusion: 67.75% / [[291, 53, 13], [78, 153, 34], [25, 55, 98]], * Val accuracy / confusion: 50.96% / [[115, 97, 18], [39, 91, 45], [12, 44, 59]] ------------------------------ Epoch 367 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.596284 - Iter 024 / 025, Loss: 0.925893 * Train accuracy / confusion: 67.12% / [[262, 79, 14], [66, 157, 47], [16, 41, 118]], * Val accuracy / confusion: 50.38% / [[133, 60, 37], [61, 68, 46], [11, 43, 61]] ------------------------------ Epoch 368 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.750905 - Iter 024 / 025, Loss: 0.631120 * Train accuracy / confusion: 69.62% / [[292, 55, 12], [73, 157, 38], [14, 51, 108]], * Val accuracy / confusion: 56.35% / [[169, 42, 19], [70, 60, 45], [25, 26, 64]] ------------------------------ Epoch 369 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.807057 - Iter 024 / 025, Loss: 0.945407 * Train accuracy / confusion: 68.38% / [[280, 66, 16], [66, 170, 31], [18, 56, 97]], * Val accuracy / confusion: 54.04% / [[137, 85, 8], [49, 108, 18], [6, 73, 36]] ------------------------------ Epoch 370 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.512739 - Iter 024 / 025, Loss: 0.599223 * Train accuracy / confusion: 68.75% / [[283, 58, 13], [81, 150, 40], [19, 39, 117]], * Val accuracy / confusion: 52.88% / [[163, 63, 4], [79, 74, 22], [34, 43, 38]] ------------------------------ Epoch 371 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.542279 - Iter 024 / 025, Loss: 0.603152 * Train accuracy / confusion: 69.00% / [[273, 65, 13], [72, 172, 26], [22, 50, 107]], * Val accuracy / confusion: 50.38% / [[119, 76, 35], [42, 75, 58], [14, 33, 68]] ------------------------------ Epoch 372 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.587734 - Iter 024 / 025, Loss: 0.810700 * Train accuracy / confusion: 70.12% / [[284, 49, 21], [75, 156, 39], [17, 38, 121]], * Val accuracy / confusion: 55.38% / [[144, 75, 11], [53, 89, 33], [15, 45, 55]] ------------------------------ Epoch 373 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.709747 - Iter 024 / 025, Loss: 0.844641 * Train accuracy / confusion: 69.25% / [[280, 60, 17], [70, 157, 38], [18, 43, 117]], * Val accuracy / confusion: 55.38% / [[158, 58, 14], [65, 80, 30], [25, 40, 50]] ------------------------------ Epoch 374 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.799243 - Iter 024 / 025, Loss: 0.709124 * Train accuracy / confusion: 69.88% / [[290, 56, 13], [71, 153, 41], [24, 36, 116]], * Val accuracy / confusion: 54.62% / [[175, 45, 10], [89, 62, 24], [24, 44, 47]] ------------------------------ Epoch 375 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.813125 - Iter 024 / 025, Loss: 0.802520 * Train accuracy / confusion: 69.50% / [[296, 48, 12], [78, 155, 33], [24, 49, 105]], * Val accuracy / confusion: 50.77% / [[124, 68, 38], [44, 74, 57], [8, 41, 66]] ------------------------------ Epoch 376 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.468948 - Iter 024 / 025, Loss: 0.595441 * Train accuracy / confusion: 70.62% / [[290, 55, 17], [72, 169, 25], [21, 45, 106]], * Val accuracy / confusion: 50.00% / [[127, 85, 18], [54, 85, 36], [10, 57, 48]] ------------------------------ Epoch 377 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.591169 - Iter 024 / 025, Loss: 0.625258 * Train accuracy / confusion: 70.00% / [[284, 61, 13], [70, 157, 41], [15, 40, 119]], * Val accuracy / confusion: 54.62% / [[163, 56, 11], [73, 62, 40], [19, 37, 59]] ------------------------------ Epoch 378 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.692663 - Iter 024 / 025, Loss: 0.620659 * Train accuracy / confusion: 69.25% / [[289, 56, 13], [65, 165, 35], [24, 53, 100]], * Val accuracy / confusion: 55.96% / [[165, 51, 14], [63, 79, 33], [18, 50, 47]] ------------------------------ Epoch 379 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.649797 - Iter 024 / 025, Loss: 0.585300 * Train accuracy / confusion: 70.38% / [[294, 44, 19], [78, 158, 33], [18, 45, 111]], * Val accuracy / confusion: 57.69% / [[156, 71, 3], [50, 97, 28], [22, 46, 47]] ------------------------------ Epoch 380 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.740501 - Iter 024 / 025, Loss: 0.603823 * Train accuracy / confusion: 67.00% / [[273, 64, 20], [67, 162, 39], [22, 52, 101]], * Val accuracy / confusion: 52.12% / [[137, 62, 31], [48, 70, 57], [14, 37, 64]] ------------------------------ Epoch 381 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.732615 - Iter 024 / 025, Loss: 0.658326 * Train accuracy / confusion: 68.50% / [[272, 58, 25], [79, 153, 38], [15, 37, 123]], * Val accuracy / confusion: 55.77% / [[150, 69, 11], [55, 87, 33], [13, 49, 53]] ------------------------------ Epoch 382 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.633705 - Iter 024 / 025, Loss: 0.615936 * Train accuracy / confusion: 69.25% / [[283, 58, 17], [72, 163, 31], [21, 47, 108]], * Val accuracy / confusion: 57.88% / [[169, 51, 10], [80, 72, 23], [26, 29, 60]] ------------------------------ Epoch 383 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.528811 - Iter 024 / 025, Loss: 0.765044 * Train accuracy / confusion: 72.38% / [[300, 51, 8], [81, 150, 34], [16, 31, 129]], * Val accuracy / confusion: 53.65% / [[161, 58, 11], [76, 71, 28], [16, 52, 47]] ------------------------------ Epoch 384 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.900078 - Iter 024 / 025, Loss: 0.474075 * Train accuracy / confusion: 70.88% / [[308, 44, 11], [81, 152, 31], [22, 44, 107]], * Val accuracy / confusion: 52.69% / [[177, 19, 34], [89, 29, 57], [35, 12, 68]] ------------------------------ Epoch 385 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.502256 - Iter 024 / 025, Loss: 0.618609 * Train accuracy / confusion: 70.62% / [[281, 65, 13], [57, 173, 36], [18, 46, 111]], * Val accuracy / confusion: 55.96% / [[156, 71, 3], [72, 96, 7], [18, 58, 39]] ------------------------------ Epoch 386 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.608186 - Iter 024 / 025, Loss: 0.682060 * Train accuracy / confusion: 69.75% / [[301, 45, 13], [85, 137, 47], [21, 31, 120]], * Val accuracy / confusion: 54.23% / [[165, 48, 17], [70, 70, 35], [26, 42, 47]] ------------------------------ Epoch 387 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.998092 - Iter 024 / 025, Loss: 0.562818 * Train accuracy / confusion: 70.25% / [[288, 60, 14], [67, 159, 39], [17, 41, 115]], * Val accuracy / confusion: 55.38% / [[181, 41, 8], [85, 55, 35], [26, 37, 52]] ------------------------------ Epoch 388 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.488135 - Iter 024 / 025, Loss: 0.633356 * Train accuracy / confusion: 68.88% / [[287, 52, 14], [77, 157, 33], [24, 49, 107]], * Val accuracy / confusion: 57.69% / [[163, 56, 11], [68, 79, 28], [20, 37, 58]] ------------------------------ Epoch 389 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.668333 - Iter 024 / 025, Loss: 0.658091 * Train accuracy / confusion: 70.12% / [[296, 46, 14], [75, 150, 38], [21, 45, 115]], * Val accuracy / confusion: 56.15% / [[184, 45, 1], [93, 72, 10], [33, 46, 36]] ------------------------------ Epoch 390 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.476850 - Iter 024 / 025, Loss: 0.778880 * Train accuracy / confusion: 68.62% / [[277, 59, 17], [75, 156, 39], [18, 43, 116]], * Val accuracy / confusion: 52.88% / [[144, 58, 28], [54, 74, 47], [16, 42, 57]] ------------------------------ Epoch 391 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.766525 - Iter 024 / 025, Loss: 0.654891 * Train accuracy / confusion: 70.75% / [[299, 47, 13], [74, 155, 37], [20, 43, 112]], * Val accuracy / confusion: 52.88% / [[150, 50, 30], [76, 52, 47], [21, 21, 73]] ------------------------------ Epoch 392 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.893488 - Iter 024 / 025, Loss: 0.785612 * Train accuracy / confusion: 71.88% / [[295, 45, 15], [78, 163, 28], [25, 34, 117]], * Val accuracy / confusion: 54.81% / [[172, 53, 5], [79, 62, 34], [20, 44, 51]] ------------------------------ Epoch 393 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.558320 - Iter 024 / 025, Loss: 0.645322 * Train accuracy / confusion: 72.25% / [[290, 55, 11], [73, 156, 39], [12, 32, 132]], * Val accuracy / confusion: 57.12% / [[183, 35, 12], [84, 54, 37], [25, 30, 60]] ------------------------------ Epoch 394 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.543733 - Iter 024 / 025, Loss: 0.723714 * Train accuracy / confusion: 70.25% / [[273, 63, 13], [71, 170, 30], [15, 46, 119]], * Val accuracy / confusion: 55.77% / [[152, 68, 10], [58, 93, 24], [16, 54, 45]] ------------------------------ Epoch 395 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.528134 - Iter 024 / 025, Loss: 0.520564 * Train accuracy / confusion: 72.00% / [[295, 53, 13], [73, 156, 34], [17, 34, 125]], * Val accuracy / confusion: 52.12% / [[156, 56, 18], [69, 53, 53], [20, 33, 62]] ------------------------------ Epoch 396 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.758998 - Iter 024 / 025, Loss: 0.641677 * Train accuracy / confusion: 67.38% / [[276, 67, 11], [77, 151, 41], [11, 54, 112]], * Val accuracy / confusion: 52.69% / [[168, 55, 7], [85, 73, 17], [32, 50, 33]] ------------------------------ Epoch 397 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.891537 - Iter 024 / 025, Loss: 0.793985 * Train accuracy / confusion: 70.62% / [[289, 50, 15], [78, 160, 32], [23, 37, 116]], * Val accuracy / confusion: 54.62% / [[173, 48, 9], [75, 53, 47], [32, 25, 58]] ------------------------------ Epoch 398 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.912751 - Iter 024 / 025, Loss: 0.758423 * Train accuracy / confusion: 69.00% / [[291, 45, 17], [77, 149, 41], [21, 47, 112]], * Val accuracy / confusion: 54.23% / [[153, 64, 13], [55, 97, 23], [26, 57, 32]] ------------------------------ Epoch 399 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.642653 - Iter 024 / 025, Loss: 0.551763 * Train accuracy / confusion: 71.38% / [[282, 51, 23], [66, 176, 29], [18, 42, 113]], * Val accuracy / confusion: 53.08% / [[133, 86, 11], [54, 84, 37], [13, 43, 59]] ------------------------------ Epoch 400 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.608528 - Iter 024 / 025, Loss: 0.752739 * Train accuracy / confusion: 69.38% / [[283, 57, 12], [78, 160, 34], [24, 40, 112]], * Val accuracy / confusion: 56.73% / [[183, 28, 19], [86, 49, 40], [29, 23, 63]] ------------------------------ Epoch 401 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.720955 - Iter 024 / 025, Loss: 0.598076 * Train accuracy / confusion: 72.25% / [[281, 64, 8], [68, 176, 27], [20, 35, 121]], * Val accuracy / confusion: 55.96% / [[157, 56, 17], [60, 71, 44], [16, 36, 63]] ------------------------------ Epoch 402 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.782577 - Iter 024 / 025, Loss: 0.624044 * Train accuracy / confusion: 71.62% / [[295, 40, 17], [72, 158, 40], [17, 41, 120]], * Val accuracy / confusion: 54.23% / [[147, 59, 24], [66, 71, 38], [15, 36, 64]] ------------------------------ Epoch 403 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.550006 - Iter 024 / 025, Loss: 0.375479 * Train accuracy / confusion: 71.12% / [[288, 57, 11], [65, 168, 34], [19, 45, 113]], * Val accuracy / confusion: 55.00% / [[169, 40, 21], [69, 60, 46], [20, 38, 57]] ------------------------------ Epoch 404 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.733559 - Iter 024 / 025, Loss: 0.610801 * Train accuracy / confusion: 72.00% / [[286, 58, 15], [75, 159, 31], [15, 30, 131]], * Val accuracy / confusion: 57.31% / [[177, 37, 16], [80, 68, 27], [30, 32, 53]] ------------------------------ Epoch 405 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.719307 - Iter 024 / 025, Loss: 0.682173 * Train accuracy / confusion: 70.75% / [[279, 59, 12], [69, 164, 38], [20, 36, 123]], * Val accuracy / confusion: 55.77% / [[171, 54, 5], [70, 86, 19], [22, 60, 33]] ------------------------------ Epoch 406 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.476615 - Iter 024 / 025, Loss: 0.593300 * Train accuracy / confusion: 71.38% / [[288, 46, 16], [74, 172, 24], [17, 52, 111]], * Val accuracy / confusion: 57.12% / [[154, 54, 22], [47, 68, 60], [14, 26, 75]] ------------------------------ Epoch 407 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.672970 - Iter 024 / 025, Loss: 0.586033 * Train accuracy / confusion: 71.75% / [[282, 59, 15], [70, 171, 26], [19, 37, 121]], * Val accuracy / confusion: 55.77% / [[202, 25, 3], [102, 63, 10], [36, 54, 25]] ------------------------------ Epoch 408 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.800047 - Iter 024 / 025, Loss: 0.708704 * Train accuracy / confusion: 69.75% / [[287, 47, 20], [74, 163, 32], [19, 50, 108]], * Val accuracy / confusion: 57.31% / [[177, 20, 33], [71, 43, 61], [19, 18, 78]] ------------------------------ Epoch 409 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.592114 - Iter 024 / 025, Loss: 0.736067 * Train accuracy / confusion: 73.00% / [[284, 55, 14], [71, 172, 26], [17, 33, 128]], * Val accuracy / confusion: 59.04% / [[158, 58, 14], [59, 89, 27], [17, 38, 60]] ------------------------------ Epoch 410 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.777274 - Iter 024 / 025, Loss: 0.588662 * Train accuracy / confusion: 72.25% / [[287, 55, 13], [58, 172, 39], [14, 43, 119]], * Val accuracy / confusion: 51.54% / [[146, 68, 16], [62, 79, 34], [18, 54, 43]] ------------------------------ Epoch 411 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.645908 - Iter 024 / 025, Loss: 0.707809 * Train accuracy / confusion: 73.12% / [[300, 50, 8], [66, 173, 29], [17, 45, 112]], * Val accuracy / confusion: 55.19% / [[158, 51, 21], [70, 68, 37], [17, 37, 61]] ------------------------------ Epoch 412 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.614505 - Iter 024 / 025, Loss: 0.560021 * Train accuracy / confusion: 70.62% / [[281, 64, 9], [65, 161, 42], [14, 41, 123]], * Val accuracy / confusion: 52.88% / [[154, 61, 15], [61, 83, 31], [21, 56, 38]] ------------------------------ Epoch 413 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.709284 - Iter 024 / 025, Loss: 0.581347 * Train accuracy / confusion: 70.12% / [[286, 55, 10], [81, 163, 26], [18, 49, 112]], * Val accuracy / confusion: 53.85% / [[185, 38, 7], [94, 44, 37], [23, 41, 51]] ------------------------------ Epoch 414 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.865766 - Iter 024 / 025, Loss: 0.772677 * Train accuracy / confusion: 69.88% / [[281, 57, 16], [72, 159, 34], [15, 47, 119]], * Val accuracy / confusion: 58.85% / [[172, 42, 16], [72, 66, 37], [18, 29, 68]] ------------------------------ Epoch 415 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.396793 - Iter 024 / 025, Loss: 0.873568 * Train accuracy / confusion: 70.12% / [[278, 63, 11], [82, 158, 31], [18, 34, 125]], * Val accuracy / confusion: 59.81% / [[190, 34, 6], [78, 78, 19], [24, 48, 43]] ------------------------------ Epoch 416 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.539220 - Iter 024 / 025, Loss: 0.525694 * Train accuracy / confusion: 74.00% / [[298, 45, 12], [67, 177, 28], [20, 36, 117]], * Val accuracy / confusion: 54.23% / [[161, 45, 24], [64, 55, 56], [20, 29, 66]] ------------------------------ Epoch 417 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.504098 - Iter 024 / 025, Loss: 0.915310 * Train accuracy / confusion: 73.50% / [[293, 47, 15], [66, 175, 31], [21, 32, 120]], * Val accuracy / confusion: 54.23% / [[111, 104, 15], [28, 122, 25], [8, 58, 49]] ------------------------------ Epoch 418 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.671500 - Iter 024 / 025, Loss: 0.468520 * Train accuracy / confusion: 69.75% / [[281, 58, 18], [71, 161, 36], [18, 41, 116]], * Val accuracy / confusion: 56.92% / [[172, 46, 12], [73, 73, 29], [23, 41, 51]] ------------------------------ Epoch 419 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.610032 - Iter 024 / 025, Loss: 0.629449 * Train accuracy / confusion: 73.62% / [[296, 53, 8], [66, 170, 29], [22, 33, 123]], * Val accuracy / confusion: 58.08% / [[170, 49, 11], [65, 79, 31], [22, 40, 53]] ------------------------------ Epoch 420 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.729648 - Iter 024 / 025, Loss: 0.515632 * Train accuracy / confusion: 73.00% / [[299, 42, 17], [63, 174, 29], [15, 50, 111]], * Val accuracy / confusion: 55.19% / [[164, 40, 26], [62, 43, 70], [21, 14, 80]] ------------------------------ Epoch 421 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.547656 - Iter 024 / 025, Loss: 0.583565 * Train accuracy / confusion: 74.12% / [[288, 52, 18], [60, 178, 32], [17, 28, 127]], * Val accuracy / confusion: 54.81% / [[163, 54, 13], [73, 85, 17], [21, 57, 37]] ------------------------------ Epoch 422 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.842012 - Iter 024 / 025, Loss: 0.646348 * Train accuracy / confusion: 70.75% / [[289, 56, 14], [73, 164, 30], [15, 46, 113]], * Val accuracy / confusion: 56.92% / [[159, 55, 16], [72, 80, 23], [12, 46, 57]] ------------------------------ Epoch 423 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.870361 - Iter 024 / 025, Loss: 0.553733 * Train accuracy / confusion: 73.12% / [[292, 50, 9], [65, 166, 39], [20, 32, 127]], * Val accuracy / confusion: 54.42% / [[158, 47, 25], [72, 57, 46], [25, 22, 68]] ------------------------------ Epoch 424 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.684085 - Iter 024 / 025, Loss: 0.599862 * Train accuracy / confusion: 73.75% / [[298, 56, 9], [66, 171, 27], [11, 41, 121]], * Val accuracy / confusion: 56.35% / [[157, 61, 12], [61, 86, 28], [18, 47, 50]] ------------------------------ Epoch 425 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.699383 - Iter 024 / 025, Loss: 0.542125 * Train accuracy / confusion: 72.00% / [[292, 48, 14], [77, 160, 32], [18, 35, 124]], * Val accuracy / confusion: 55.96% / [[182, 44, 4], [88, 74, 13], [31, 49, 35]] ------------------------------ Epoch 426 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.522222 - Iter 024 / 025, Loss: 0.747897 * Train accuracy / confusion: 72.38% / [[279, 58, 20], [59, 172, 35], [13, 36, 128]], * Val accuracy / confusion: 52.31% / [[138, 47, 45], [50, 68, 57], [11, 38, 66]] ------------------------------ Epoch 427 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.490893 - Iter 024 / 025, Loss: 0.920004 * Train accuracy / confusion: 71.88% / [[286, 56, 15], [68, 171, 26], [15, 45, 118]], * Val accuracy / confusion: 54.04% / [[172, 44, 14], [86, 53, 36], [26, 33, 56]] ------------------------------ Epoch 428 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.600961 - Iter 024 / 025, Loss: 0.502667 * Train accuracy / confusion: 72.25% / [[297, 49, 13], [68, 154, 44], [15, 33, 127]], * Val accuracy / confusion: 56.54% / [[182, 39, 9], [86, 64, 25], [28, 39, 48]] ------------------------------ Epoch 429 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.650516 - Iter 024 / 025, Loss: 0.545258 * Train accuracy / confusion: 71.12% / [[295, 54, 12], [74, 152, 39], [18, 34, 122]], * Val accuracy / confusion: 54.42% / [[140, 82, 8], [53, 113, 9], [13, 72, 30]] ------------------------------ Epoch 430 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.770325 - Iter 024 / 025, Loss: 0.807726 * Train accuracy / confusion: 69.88% / [[277, 62, 15], [72, 170, 26], [18, 48, 112]], * Val accuracy / confusion: 53.46% / [[161, 23, 46], [61, 46, 68], [17, 27, 71]] ------------------------------ Epoch 431 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.591376 - Iter 024 / 025, Loss: 0.584131 * Train accuracy / confusion: 74.25% / [[298, 46, 13], [72, 172, 21], [25, 29, 124]], * Val accuracy / confusion: 56.73% / [[154, 56, 20], [52, 81, 42], [20, 35, 60]] ------------------------------ Epoch 432 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.603209 - Iter 024 / 025, Loss: 0.846852 * Train accuracy / confusion: 71.75% / [[278, 62, 15], [67, 167, 34], [16, 32, 129]], * Val accuracy / confusion: 53.65% / [[137, 77, 16], [46, 107, 22], [16, 64, 35]] ------------------------------ Epoch 433 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.613833 - Iter 024 / 025, Loss: 0.452003 * Train accuracy / confusion: 73.75% / [[289, 54, 16], [66, 176, 25], [16, 33, 125]], * Val accuracy / confusion: 55.19% / [[175, 46, 9], [79, 76, 20], [27, 52, 36]] ------------------------------ Epoch 434 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.606670 - Iter 024 / 025, Loss: 0.737978 * Train accuracy / confusion: 72.38% / [[292, 47, 15], [71, 171, 29], [20, 39, 116]], * Val accuracy / confusion: 55.58% / [[198, 28, 4], [94, 62, 19], [44, 42, 29]] ------------------------------ Epoch 435 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.653827 - Iter 024 / 025, Loss: 0.441423 * Train accuracy / confusion: 75.88% / [[296, 51, 8], [58, 184, 27], [12, 37, 127]], * Val accuracy / confusion: 57.12% / [[196, 28, 6], [98, 55, 22], [32, 37, 46]] ------------------------------ Epoch 436 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.639606 - Iter 024 / 025, Loss: 0.735934 * Train accuracy / confusion: 72.75% / [[286, 51, 17], [68, 180, 22], [17, 43, 116]], * Val accuracy / confusion: 54.62% / [[113, 82, 35], [32, 90, 53], [3, 31, 81]] ------------------------------ Epoch 437 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.748018 - Iter 024 / 025, Loss: 0.512812 * Train accuracy / confusion: 74.88% / [[294, 47, 10], [58, 179, 34], [17, 35, 126]], * Val accuracy / confusion: 50.77% / [[158, 37, 35], [66, 44, 65], [26, 27, 62]] ------------------------------ Epoch 438 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.746175 - Iter 024 / 025, Loss: 0.601253 * Train accuracy / confusion: 73.00% / [[289, 49, 16], [62, 172, 34], [22, 33, 123]], * Val accuracy / confusion: 52.12% / [[130, 76, 24], [41, 94, 40], [16, 52, 47]] ------------------------------ Epoch 439 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.804247 - Iter 024 / 025, Loss: 0.477383 * Train accuracy / confusion: 71.62% / [[281, 51, 24], [58, 178, 33], [15, 46, 114]], * Val accuracy / confusion: 55.77% / [[191, 30, 9], [93, 62, 20], [43, 35, 37]] ------------------------------ Epoch 440 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.601347 - Iter 024 / 025, Loss: 0.757342 * Train accuracy / confusion: 76.38% / [[290, 46, 16], [55, 187, 29], [13, 30, 134]], * Val accuracy / confusion: 54.81% / [[147, 59, 24], [51, 72, 52], [9, 40, 66]] ------------------------------ Epoch 441 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.647561 - Iter 024 / 025, Loss: 0.627220 * Train accuracy / confusion: 74.12% / [[284, 54, 21], [66, 179, 21], [14, 31, 130]], * Val accuracy / confusion: 57.88% / [[146, 46, 38], [44, 75, 56], [11, 24, 80]] ------------------------------ Epoch 442 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.514514 - Iter 024 / 025, Loss: 0.442043 * Train accuracy / confusion: 74.88% / [[301, 42, 16], [69, 170, 27], [24, 23, 128]], * Val accuracy / confusion: 54.23% / [[152, 56, 22], [67, 83, 25], [19, 49, 47]] ------------------------------ Epoch 443 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.484825 - Iter 024 / 025, Loss: 0.365608 * Train accuracy / confusion: 75.75% / [[304, 45, 11], [60, 177, 26], [13, 39, 125]], * Val accuracy / confusion: 57.50% / [[163, 54, 13], [62, 87, 26], [14, 52, 49]] ------------------------------ Epoch 444 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.501087 - Iter 024 / 025, Loss: 0.663372 * Train accuracy / confusion: 74.62% / [[295, 52, 8], [61, 176, 32], [21, 29, 126]], * Val accuracy / confusion: 57.12% / [[166, 42, 22], [61, 77, 37], [19, 42, 54]] ------------------------------ Epoch 445 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.785380 - Iter 024 / 025, Loss: 0.432498 * Train accuracy / confusion: 76.12% / [[304, 40, 13], [57, 186, 28], [17, 36, 119]], * Val accuracy / confusion: 52.88% / [[117, 102, 11], [39, 112, 24], [10, 59, 46]] ------------------------------ Epoch 446 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.528297 - Iter 024 / 025, Loss: 0.464705 * Train accuracy / confusion: 75.50% / [[297, 47, 11], [67, 177, 26], [12, 33, 130]], * Val accuracy / confusion: 53.85% / [[168, 27, 35], [82, 40, 53], [24, 19, 72]] ------------------------------ Epoch 447 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.559300 - Iter 024 / 025, Loss: 0.618276 * Train accuracy / confusion: 74.75% / [[303, 50, 10], [73, 162, 25], [9, 35, 133]], * Val accuracy / confusion: 56.54% / [[157, 61, 12], [69, 80, 26], [16, 42, 57]] ------------------------------ Epoch 448 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.490331 - Iter 024 / 025, Loss: 0.657184 * Train accuracy / confusion: 76.00% / [[290, 58, 8], [64, 178, 24], [13, 25, 140]], * Val accuracy / confusion: 57.88% / [[196, 20, 14], [94, 44, 37], [32, 22, 61]] ------------------------------ Epoch 449 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.381339 - Iter 024 / 025, Loss: 0.568778 * Train accuracy / confusion: 72.12% / [[294, 45, 15], [75, 166, 27], [17, 44, 117]], * Val accuracy / confusion: 59.62% / [[186, 33, 11], [70, 81, 24], [24, 48, 43]] ------------------------------ Epoch 450 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.524491 - Iter 024 / 025, Loss: 0.338314 * Train accuracy / confusion: 77.38% / [[303, 40, 9], [56, 188, 28], [14, 34, 128]], * Val accuracy / confusion: 55.58% / [[140, 70, 20], [43, 97, 35], [9, 54, 52]] ------------------------------ Epoch 451 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.553550 - Iter 024 / 025, Loss: 0.497922 * Train accuracy / confusion: 75.62% / [[289, 41, 21], [57, 189, 24], [20, 32, 127]], * Val accuracy / confusion: 55.19% / [[165, 59, 6], [79, 70, 26], [28, 35, 52]] ------------------------------ Epoch 452 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.442090 - Iter 024 / 025, Loss: 0.748894 * Train accuracy / confusion: 75.88% / [[295, 47, 16], [51, 187, 27], [12, 40, 125]], * Val accuracy / confusion: 55.19% / [[152, 48, 30], [65, 62, 48], [15, 27, 73]] ------------------------------ Epoch 453 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.458612 - Iter 024 / 025, Loss: 0.744662 * Train accuracy / confusion: 74.12% / [[288, 43, 24], [68, 172, 28], [22, 22, 133]], * Val accuracy / confusion: 55.58% / [[125, 90, 15], [40, 111, 24], [19, 43, 53]] ------------------------------ Epoch 454 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.819972 - Iter 024 / 025, Loss: 0.382278 * Train accuracy / confusion: 73.88% / [[284, 56, 15], [63, 182, 25], [21, 29, 125]], * Val accuracy / confusion: 56.35% / [[150, 71, 9], [51, 104, 20], [14, 62, 39]] ------------------------------ Epoch 455 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.590237 - Iter 024 / 025, Loss: 0.558375 * Train accuracy / confusion: 75.00% / [[296, 48, 13], [54, 187, 24], [20, 41, 117]], * Val accuracy / confusion: 52.69% / [[148, 63, 19], [57, 63, 55], [15, 37, 63]] ------------------------------ Epoch 456 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.561435 - Iter 024 / 025, Loss: 0.543765 * Train accuracy / confusion: 79.00% / [[306, 28, 20], [58, 186, 24], [12, 26, 140]], * Val accuracy / confusion: 54.81% / [[160, 48, 22], [68, 55, 52], [22, 23, 70]] ------------------------------ Epoch 457 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.525050 - Iter 024 / 025, Loss: 0.446364 * Train accuracy / confusion: 74.62% / [[286, 54, 15], [60, 182, 27], [17, 30, 129]], * Val accuracy / confusion: 57.50% / [[182, 44, 4], [89, 77, 9], [30, 45, 40]] ------------------------------ Epoch 458 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.461386 - Iter 024 / 025, Loss: 0.728993 * Train accuracy / confusion: 73.12% / [[282, 54, 16], [64, 180, 29], [18, 34, 123]], * Val accuracy / confusion: 50.00% / [[115, 75, 40], [41, 86, 48], [4, 52, 59]] ------------------------------ Epoch 459 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.461588 - Iter 024 / 025, Loss: 0.738601 * Train accuracy / confusion: 75.00% / [[294, 49, 12], [72, 176, 20], [15, 32, 130]], * Val accuracy / confusion: 54.23% / [[139, 86, 5], [53, 104, 18], [24, 52, 39]] ------------------------------ Epoch 460 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.360763 - Iter 024 / 025, Loss: 0.529682 * Train accuracy / confusion: 72.38% / [[288, 55, 16], [69, 162, 34], [10, 37, 129]], * Val accuracy / confusion: 55.19% / [[174, 45, 11], [86, 68, 21], [29, 41, 45]] ------------------------------ Epoch 461 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.540715 - Iter 024 / 025, Loss: 0.653812 * Train accuracy / confusion: 76.38% / [[310, 40, 11], [59, 173, 29], [15, 35, 128]], * Val accuracy / confusion: 56.73% / [[151, 56, 23], [66, 88, 21], [19, 40, 56]] ------------------------------ Epoch 462 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.389748 - Iter 024 / 025, Loss: 0.682887 * Train accuracy / confusion: 77.38% / [[299, 47, 13], [59, 188, 24], [10, 28, 132]], * Val accuracy / confusion: 56.92% / [[173, 51, 6], [82, 78, 15], [32, 38, 45]] ------------------------------ Epoch 463 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.448018 - Iter 024 / 025, Loss: 0.492732 * Train accuracy / confusion: 76.75% / [[298, 49, 12], [64, 185, 18], [16, 27, 131]], * Val accuracy / confusion: 58.46% / [[165, 35, 30], [71, 68, 36], [20, 24, 71]] ------------------------------ Epoch 464 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.653282 - Iter 024 / 025, Loss: 0.652428 * Train accuracy / confusion: 76.25% / [[300, 45, 9], [57, 188, 27], [18, 34, 122]], * Val accuracy / confusion: 55.00% / [[143, 63, 24], [55, 88, 32], [15, 45, 55]] ------------------------------ Epoch 465 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.382763 - Iter 024 / 025, Loss: 0.548496 * Train accuracy / confusion: 75.00% / [[292, 49, 16], [56, 178, 30], [14, 35, 130]], * Val accuracy / confusion: 58.08% / [[168, 40, 22], [73, 69, 33], [21, 29, 65]] ------------------------------ Epoch 466 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.471053 - Iter 024 / 025, Loss: 0.660614 * Train accuracy / confusion: 75.88% / [[292, 45, 19], [60, 182, 24], [15, 30, 133]], * Val accuracy / confusion: 56.15% / [[141, 69, 20], [47, 98, 30], [19, 43, 53]] ------------------------------ Epoch 467 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.533130 - Iter 024 / 025, Loss: 0.552733 * Train accuracy / confusion: 75.62% / [[293, 48, 14], [61, 180, 29], [14, 29, 132]], * Val accuracy / confusion: 54.81% / [[135, 82, 13], [45, 112, 18], [16, 61, 38]] ------------------------------ Epoch 468 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.648598 - Iter 024 / 025, Loss: 0.653429 * Train accuracy / confusion: 77.38% / [[292, 54, 10], [52, 195, 22], [14, 29, 132]], * Val accuracy / confusion: 59.04% / [[182, 25, 23], [72, 66, 37], [24, 32, 59]] ------------------------------ Epoch 469 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.504408 - Iter 024 / 025, Loss: 0.586445 * Train accuracy / confusion: 76.00% / [[296, 44, 9], [65, 186, 23], [14, 37, 126]], * Val accuracy / confusion: 59.42% / [[189, 28, 13], [89, 57, 29], [31, 21, 63]] ------------------------------ Epoch 470 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.392720 - Iter 024 / 025, Loss: 0.795072 * Train accuracy / confusion: 76.00% / [[279, 57, 20], [47, 191, 28], [17, 23, 138]], * Val accuracy / confusion: 57.31% / [[153, 47, 30], [46, 76, 53], [17, 29, 69]] ------------------------------ Epoch 471 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.607187 - Iter 024 / 025, Loss: 0.431785 * Train accuracy / confusion: 77.62% / [[306, 40, 9], [63, 181, 24], [12, 31, 134]], * Val accuracy / confusion: 57.88% / [[135, 87, 8], [46, 111, 18], [5, 55, 55]] ------------------------------ Epoch 472 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.556034 - Iter 024 / 025, Loss: 0.469488 * Train accuracy / confusion: 75.88% / [[305, 39, 12], [66, 171, 35], [16, 25, 131]], * Val accuracy / confusion: 55.38% / [[110, 77, 43], [27, 101, 47], [11, 27, 77]] ------------------------------ Epoch 473 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.577208 - Iter 024 / 025, Loss: 0.274004 * Train accuracy / confusion: 78.38% / [[305, 43, 8], [56, 186, 25], [13, 28, 136]], * Val accuracy / confusion: 52.31% / [[210, 19, 1], [126, 41, 8], [52, 42, 21]] ------------------------------ Epoch 474 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.550640 - Iter 024 / 025, Loss: 0.609305 * Train accuracy / confusion: 77.12% / [[303, 41, 15], [57, 183, 26], [18, 26, 131]], * Val accuracy / confusion: 60.96% / [[166, 47, 17], [52, 89, 34], [18, 35, 62]] ------------------------------ Epoch 475 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.491551 - Iter 024 / 025, Loss: 0.618022 * Train accuracy / confusion: 77.25% / [[301, 48, 7], [64, 179, 26], [12, 25, 138]], * Val accuracy / confusion: 59.42% / [[173, 50, 7], [72, 81, 22], [28, 32, 55]] ------------------------------ Epoch 476 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.443275 - Iter 024 / 025, Loss: 0.333858 * Train accuracy / confusion: 77.00% / [[303, 42, 12], [67, 182, 18], [18, 27, 131]], * Val accuracy / confusion: 55.19% / [[157, 59, 14], [56, 91, 28], [18, 58, 39]] ------------------------------ Epoch 477 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.709988 - Iter 024 / 025, Loss: 0.380483 * Train accuracy / confusion: 77.38% / [[296, 47, 12], [59, 184, 25], [11, 27, 139]], * Val accuracy / confusion: 60.00% / [[164, 46, 20], [70, 86, 19], [16, 37, 62]] ------------------------------ Epoch 478 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.506426 - Iter 024 / 025, Loss: 0.511864 * Train accuracy / confusion: 77.38% / [[309, 38, 5], [63, 178, 28], [16, 31, 132]], * Val accuracy / confusion: 60.00% / [[174, 51, 5], [65, 92, 18], [31, 38, 46]] ------------------------------ Epoch 479 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.624336 - Iter 024 / 025, Loss: 0.740464 * Train accuracy / confusion: 78.62% / [[297, 38, 16], [54, 200, 20], [11, 32, 132]], * Val accuracy / confusion: 59.62% / [[179, 43, 8], [80, 85, 10], [29, 40, 46]] ------------------------------ Epoch 480 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.530430 - Iter 024 / 025, Loss: 0.574807 * Train accuracy / confusion: 77.38% / [[299, 41, 15], [56, 187, 25], [15, 29, 133]], * Val accuracy / confusion: 56.54% / [[159, 55, 16], [54, 76, 45], [28, 28, 59]] ------------------------------ Epoch 481 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.318036 - Iter 024 / 025, Loss: 0.657352 * Train accuracy / confusion: 79.25% / [[305, 41, 10], [55, 185, 24], [12, 24, 144]], * Val accuracy / confusion: 59.42% / [[162, 59, 9], [51, 104, 20], [20, 52, 43]] ------------------------------ Epoch 482 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.538179 - Iter 024 / 025, Loss: 0.521564 * Train accuracy / confusion: 76.25% / [[295, 56, 8], [60, 184, 25], [15, 26, 131]], * Val accuracy / confusion: 53.65% / [[141, 55, 34], [58, 78, 39], [18, 37, 60]] ------------------------------ Epoch 483 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.410545 - Iter 024 / 025, Loss: 1.208290 * Train accuracy / confusion: 79.50% / [[310, 34, 12], [58, 182, 28], [10, 22, 144]], * Val accuracy / confusion: 57.88% / [[152, 71, 7], [62, 104, 9], [18, 52, 45]] ------------------------------ Epoch 484 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.721928 - Iter 024 / 025, Loss: 0.516138 * Train accuracy / confusion: 78.38% / [[293, 49, 12], [56, 190, 20], [11, 25, 144]], * Val accuracy / confusion: 55.00% / [[147, 64, 19], [62, 102, 11], [21, 57, 37]] ------------------------------ Epoch 485 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.377687 - Iter 024 / 025, Loss: 0.437576 * Train accuracy / confusion: 77.50% / [[301, 48, 11], [54, 186, 24], [13, 30, 133]], * Val accuracy / confusion: 57.12% / [[154, 63, 13], [54, 102, 19], [17, 57, 41]] ------------------------------ Epoch 486 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.582626 - Iter 024 / 025, Loss: 0.540254 * Train accuracy / confusion: 80.50% / [[309, 38, 10], [44, 200, 22], [15, 27, 135]], * Val accuracy / confusion: 54.42% / [[168, 35, 27], [79, 59, 37], [37, 22, 56]] ------------------------------ Epoch 487 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.443312 - Iter 024 / 025, Loss: 0.640213 * Train accuracy / confusion: 79.75% / [[311, 37, 5], [54, 187, 25], [18, 23, 140]], * Val accuracy / confusion: 56.15% / [[152, 61, 17], [66, 86, 23], [16, 45, 54]] ------------------------------ Epoch 488 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.683398 - Iter 024 / 025, Loss: 0.492417 * Train accuracy / confusion: 76.62% / [[292, 50, 21], [65, 177, 24], [13, 14, 144]], * Val accuracy / confusion: 55.00% / [[160, 23, 47], [63, 62, 50], [18, 33, 64]] ------------------------------ Epoch 489 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.661528 - Iter 024 / 025, Loss: 0.473951 * Train accuracy / confusion: 81.38% / [[309, 40, 8], [52, 201, 15], [15, 19, 141]], * Val accuracy / confusion: 58.65% / [[162, 64, 4], [61, 103, 11], [23, 52, 40]] ------------------------------ Epoch 490 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.514846 - Iter 024 / 025, Loss: 0.467285 * Train accuracy / confusion: 78.25% / [[301, 43, 13], [59, 185, 20], [12, 27, 140]], * Val accuracy / confusion: 55.00% / [[169, 39, 22], [81, 55, 39], [24, 29, 62]] ------------------------------ Epoch 491 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.434102 - Iter 024 / 025, Loss: 0.336528 * Train accuracy / confusion: 79.00% / [[302, 36, 10], [51, 189, 31], [16, 24, 141]], * Val accuracy / confusion: 54.81% / [[143, 73, 14], [59, 103, 13], [13, 63, 39]] ------------------------------ Epoch 492 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.424624 - Iter 024 / 025, Loss: 0.402857 * Train accuracy / confusion: 79.38% / [[302, 40, 12], [57, 189, 21], [10, 25, 144]], * Val accuracy / confusion: 52.69% / [[149, 51, 30], [57, 71, 47], [19, 42, 54]] ------------------------------ Epoch 493 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.315372 - Iter 024 / 025, Loss: 0.479235 * Train accuracy / confusion: 79.88% / [[314, 36, 9], [50, 194, 21], [15, 30, 131]], * Val accuracy / confusion: 57.69% / [[175, 41, 14], [77, 74, 24], [27, 37, 51]] ------------------------------ Epoch 494 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.431175 - Iter 024 / 025, Loss: 0.335110 * Train accuracy / confusion: 80.50% / [[310, 35, 13], [58, 189, 18], [10, 22, 145]], * Val accuracy / confusion: 56.35% / [[130, 62, 38], [41, 94, 40], [13, 33, 69]] ------------------------------ Epoch 495 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.554022 - Iter 024 / 025, Loss: 0.517223 * Train accuracy / confusion: 81.25% / [[312, 32, 13], [48, 201, 19], [21, 17, 137]], * Val accuracy / confusion: 56.35% / [[166, 42, 22], [73, 72, 30], [24, 36, 55]] ------------------------------ Epoch 496 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.623398 - Iter 024 / 025, Loss: 0.503219 * Train accuracy / confusion: 79.75% / [[300, 44, 9], [47, 193, 28], [12, 22, 145]], * Val accuracy / confusion: 54.04% / [[130, 80, 20], [48, 109, 18], [13, 60, 42]] ------------------------------ Epoch 497 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.428870 - Iter 024 / 025, Loss: 0.612910 * Train accuracy / confusion: 78.62% / [[294, 51, 9], [55, 193, 20], [14, 22, 142]], * Val accuracy / confusion: 54.42% / [[192, 8, 30], [104, 19, 52], [33, 10, 72]] ------------------------------ Epoch 498 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.313518 - Iter 024 / 025, Loss: 0.495904 * Train accuracy / confusion: 80.25% / [[307, 34, 14], [47, 197, 23], [12, 28, 138]], * Val accuracy / confusion: 55.77% / [[142, 65, 23], [43, 104, 28], [18, 53, 44]] ------------------------------ Epoch 499 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.477555 - Iter 024 / 025, Loss: 0.520038 * Train accuracy / confusion: 77.00% / [[298, 46, 13], [62, 185, 19], [17, 27, 133]], * Val accuracy / confusion: 61.92% / [[149, 68, 13], [38, 125, 12], [18, 49, 48]] ------------------------------ Epoch 500 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.482441 - Iter 024 / 025, Loss: 0.679069 * Train accuracy / confusion: 81.00% / [[313, 34, 8], [50, 199, 20], [18, 22, 136]], * Val accuracy / confusion: 56.54% / [[193, 22, 15], [95, 49, 31], [36, 27, 52]] ------------------------------ Epoch 501 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.382122 - Iter 024 / 025, Loss: 0.495640 * Train accuracy / confusion: 82.62% / [[311, 37, 9], [46, 193, 25], [7, 15, 157]], * Val accuracy / confusion: 59.62% / [[177, 31, 22], [71, 77, 27], [20, 39, 56]] ------------------------------ Epoch 502 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.458584 - Iter 024 / 025, Loss: 0.338141 * Train accuracy / confusion: 82.38% / [[322, 28, 8], [49, 197, 20], [8, 28, 140]], * Val accuracy / confusion: 55.58% / [[146, 69, 15], [61, 110, 4], [20, 62, 33]] ------------------------------ Epoch 503 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.469065 - Iter 024 / 025, Loss: 0.618597 * Train accuracy / confusion: 78.38% / [[288, 56, 12], [59, 192, 19], [9, 18, 147]], * Val accuracy / confusion: 56.92% / [[156, 51, 23], [62, 71, 42], [14, 32, 69]] ------------------------------ Epoch 504 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.460314 - Iter 024 / 025, Loss: 0.460833 * Train accuracy / confusion: 81.00% / [[303, 37, 15], [56, 197, 14], [13, 17, 148]], * Val accuracy / confusion: 53.85% / [[135, 48, 47], [44, 61, 70], [11, 20, 84]] ------------------------------ Epoch 505 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.380196 - Iter 024 / 025, Loss: 0.425258 * Train accuracy / confusion: 79.50% / [[301, 37, 18], [47, 198, 26], [16, 20, 137]], * Val accuracy / confusion: 54.42% / [[165, 57, 8], [76, 92, 7], [30, 59, 26]] ------------------------------ Epoch 506 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.489107 - Iter 024 / 025, Loss: 0.385690 * Train accuracy / confusion: 80.00% / [[309, 34, 13], [53, 193, 20], [11, 29, 138]], * Val accuracy / confusion: 51.35% / [[124, 44, 62], [34, 62, 79], [14, 20, 81]] ------------------------------ Epoch 507 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.590635 - Iter 024 / 025, Loss: 0.521321 * Train accuracy / confusion: 79.25% / [[301, 41, 11], [54, 193, 21], [15, 24, 140]], * Val accuracy / confusion: 55.77% / [[146, 66, 18], [59, 97, 19], [20, 48, 47]] ------------------------------ Epoch 508 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.423351 - Iter 024 / 025, Loss: 0.611391 * Train accuracy / confusion: 81.00% / [[301, 38, 13], [54, 198, 17], [10, 20, 149]], * Val accuracy / confusion: 56.54% / [[143, 69, 18], [51, 105, 19], [15, 54, 46]] ------------------------------ Epoch 509 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.283721 - Iter 024 / 025, Loss: 0.412117 * Train accuracy / confusion: 81.50% / [[308, 36, 14], [51, 199, 19], [13, 15, 145]], * Val accuracy / confusion: 56.92% / [[176, 24, 30], [65, 49, 61], [28, 16, 71]] ------------------------------ Epoch 510 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.465052 - Iter 024 / 025, Loss: 0.398974 * Train accuracy / confusion: 79.88% / [[295, 55, 8], [49, 196, 20], [8, 21, 148]], * Val accuracy / confusion: 53.08% / [[160, 48, 22], [76, 63, 36], [26, 36, 53]] ------------------------------ Epoch 511 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.519732 - Iter 024 / 025, Loss: 0.485677 * Train accuracy / confusion: 81.25% / [[321, 31, 6], [60, 190, 18], [20, 15, 139]], * Val accuracy / confusion: 58.08% / [[153, 62, 15], [53, 91, 31], [21, 36, 58]] ------------------------------ Epoch 512 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.336091 - Iter 024 / 025, Loss: 0.500508 * Train accuracy / confusion: 84.88% / [[306, 37, 14], [33, 220, 12], [8, 17, 153]], * Val accuracy / confusion: 56.15% / [[150, 52, 28], [55, 89, 31], [15, 47, 53]] ------------------------------ Epoch 513 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.304084 - Iter 024 / 025, Loss: 0.399053 * Train accuracy / confusion: 82.00% / [[324, 25, 8], [51, 189, 28], [13, 19, 143]], * Val accuracy / confusion: 54.81% / [[177, 42, 11], [78, 73, 24], [43, 37, 35]] ------------------------------ Epoch 514 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.444523 - Iter 024 / 025, Loss: 0.193209 * Train accuracy / confusion: 82.00% / [[306, 40, 10], [42, 210, 18], [13, 21, 140]], * Val accuracy / confusion: 58.85% / [[140, 68, 22], [36, 111, 28], [8, 52, 55]] ------------------------------ Epoch 515 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.496100 - Iter 024 / 025, Loss: 0.338382 * Train accuracy / confusion: 82.38% / [[319, 28, 12], [53, 195, 15], [13, 20, 145]], * Val accuracy / confusion: 57.31% / [[169, 33, 28], [68, 64, 43], [31, 19, 65]] ------------------------------ Epoch 516 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.507024 - Iter 024 / 025, Loss: 0.346160 * Train accuracy / confusion: 83.12% / [[317, 30, 11], [54, 200, 14], [14, 12, 148]], * Val accuracy / confusion: 58.65% / [[168, 47, 15], [72, 88, 15], [34, 32, 49]] ------------------------------ Epoch 517 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.441750 - Iter 024 / 025, Loss: 0.514380 * Train accuracy / confusion: 81.88% / [[299, 50, 13], [34, 213, 15], [12, 21, 143]], * Val accuracy / confusion: 57.12% / [[150, 46, 34], [52, 82, 41], [16, 34, 65]] ------------------------------ Epoch 518 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.315914 - Iter 024 / 025, Loss: 0.444063 * Train accuracy / confusion: 82.12% / [[315, 26, 16], [57, 191, 18], [10, 16, 151]], * Val accuracy / confusion: 59.81% / [[152, 57, 21], [42, 98, 35], [23, 31, 61]] ------------------------------ Epoch 519 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.331941 - Iter 024 / 025, Loss: 0.359390 * Train accuracy / confusion: 83.50% / [[298, 45, 12], [43, 209, 15], [7, 10, 161]], * Val accuracy / confusion: 56.15% / [[147, 58, 25], [61, 83, 31], [24, 29, 62]] ------------------------------ Epoch 520 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.373521 - Iter 024 / 025, Loss: 0.460614 * Train accuracy / confusion: 83.25% / [[315, 29, 9], [50, 207, 13], [13, 20, 144]], * Val accuracy / confusion: 57.12% / [[160, 52, 18], [62, 81, 32], [26, 33, 56]] ------------------------------ Epoch 521 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.296183 - Iter 024 / 025, Loss: 0.366572 * Train accuracy / confusion: 84.00% / [[308, 36, 10], [43, 214, 13], [16, 10, 150]], * Val accuracy / confusion: 56.73% / [[138, 51, 41], [53, 81, 41], [9, 30, 76]] ------------------------------ Epoch 522 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.463646 - Iter 024 / 025, Loss: 0.314851 * Train accuracy / confusion: 82.62% / [[308, 39, 11], [45, 210, 16], [9, 19, 143]], * Val accuracy / confusion: 57.50% / [[173, 38, 19], [79, 65, 31], [30, 24, 61]] ------------------------------ Epoch 523 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.622202 - Iter 024 / 025, Loss: 0.290891 * Train accuracy / confusion: 86.00% / [[315, 26, 13], [35, 223, 10], [11, 17, 150]], * Val accuracy / confusion: 53.85% / [[140, 69, 21], [58, 82, 35], [17, 40, 58]] ------------------------------ Epoch 524 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.486111 - Iter 024 / 025, Loss: 0.546574 * Train accuracy / confusion: 83.12% / [[307, 31, 15], [40, 210, 20], [11, 18, 148]], * Val accuracy / confusion: 55.77% / [[142, 65, 23], [62, 104, 9], [21, 50, 44]] ------------------------------ Epoch 525 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.335919 - Iter 024 / 025, Loss: 0.463292 * Train accuracy / confusion: 82.12% / [[311, 38, 11], [48, 210, 11], [16, 19, 136]], * Val accuracy / confusion: 60.58% / [[158, 54, 18], [55, 90, 30], [18, 30, 67]] ------------------------------ Epoch 526 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.635101 - Iter 024 / 025, Loss: 0.339680 * Train accuracy / confusion: 83.75% / [[320, 26, 12], [42, 201, 23], [13, 14, 149]], * Val accuracy / confusion: 54.04% / [[138, 79, 13], [53, 101, 21], [21, 52, 42]] ------------------------------ Epoch 527 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.445511 - Iter 024 / 025, Loss: 0.248711 * Train accuracy / confusion: 82.62% / [[310, 40, 8], [48, 203, 15], [10, 18, 148]], * Val accuracy / confusion: 50.96% / [[129, 46, 55], [47, 62, 66], [17, 24, 74]] ------------------------------ Epoch 528 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.248734 - Iter 024 / 025, Loss: 0.299696 * Train accuracy / confusion: 84.12% / [[318, 32, 10], [48, 201, 14], [11, 12, 154]], * Val accuracy / confusion: 58.08% / [[152, 71, 7], [54, 112, 9], [22, 55, 38]] ------------------------------ Epoch 529 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.279593 - Iter 024 / 025, Loss: 0.336886 * Train accuracy / confusion: 85.00% / [[321, 29, 8], [42, 207, 14], [7, 20, 152]], * Val accuracy / confusion: 53.85% / [[147, 59, 24], [68, 78, 29], [19, 41, 55]] ------------------------------ Epoch 530 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.698334 - Iter 024 / 025, Loss: 0.538730 * Train accuracy / confusion: 82.12% / [[300, 38, 11], [53, 205, 13], [12, 16, 152]], * Val accuracy / confusion: 57.50% / [[176, 46, 8], [81, 70, 24], [39, 23, 53]] ------------------------------ Epoch 531 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.375277 - Iter 024 / 025, Loss: 0.384470 * Train accuracy / confusion: 83.38% / [[315, 33, 9], [47, 206, 12], [14, 18, 146]], * Val accuracy / confusion: 57.50% / [[151, 56, 23], [54, 85, 36], [18, 34, 63]] ------------------------------ Epoch 532 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.566324 - Iter 024 / 025, Loss: 0.350909 * Train accuracy / confusion: 82.75% / [[312, 33, 10], [43, 201, 24], [12, 16, 149]], * Val accuracy / confusion: 54.81% / [[169, 56, 5], [67, 93, 15], [35, 57, 23]] ------------------------------ Epoch 533 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.315793 - Iter 024 / 025, Loss: 0.456749 * Train accuracy / confusion: 85.38% / [[308, 30, 10], [40, 219, 12], [10, 15, 156]], * Val accuracy / confusion: 55.00% / [[143, 63, 24], [56, 91, 28], [23, 40, 52]] ------------------------------ Epoch 534 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.425677 - Iter 024 / 025, Loss: 0.485348 * Train accuracy / confusion: 84.12% / [[309, 32, 12], [35, 214, 19], [8, 21, 150]], * Val accuracy / confusion: 56.54% / [[131, 73, 26], [34, 104, 37], [8, 48, 59]] ------------------------------ Epoch 535 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.612447 - Iter 024 / 025, Loss: 0.257591 * Train accuracy / confusion: 84.62% / [[319, 31, 5], [50, 205, 16], [9, 12, 153]], * Val accuracy / confusion: 59.23% / [[173, 44, 13], [76, 82, 17], [30, 32, 53]] ------------------------------ Epoch 536 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.450476 - Iter 024 / 025, Loss: 0.346375 * Train accuracy / confusion: 83.25% / [[318, 29, 10], [48, 203, 16], [7, 24, 145]], * Val accuracy / confusion: 58.27% / [[130, 70, 30], [41, 108, 26], [10, 40, 65]] ------------------------------ Epoch 537 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.425765 - Iter 024 / 025, Loss: 0.171631 * Train accuracy / confusion: 85.62% / [[326, 29, 4], [39, 210, 19], [10, 14, 149]], * Val accuracy / confusion: 58.27% / [[149, 54, 27], [56, 87, 32], [16, 32, 67]] ------------------------------ Epoch 538 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.335872 - Iter 024 / 025, Loss: 0.372486 * Train accuracy / confusion: 83.88% / [[309, 34, 12], [36, 217, 14], [8, 25, 145]], * Val accuracy / confusion: 50.96% / [[128, 57, 45], [62, 62, 51], [18, 22, 75]] ------------------------------ Epoch 539 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.398211 - Iter 024 / 025, Loss: 0.343480 * Train accuracy / confusion: 85.62% / [[325, 28, 7], [39, 212, 14], [15, 12, 148]], * Val accuracy / confusion: 58.65% / [[167, 36, 27], [72, 69, 34], [27, 19, 69]] ------------------------------ Epoch 540 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.383636 - Iter 024 / 025, Loss: 0.345770 * Train accuracy / confusion: 83.00% / [[313, 34, 11], [39, 205, 17], [19, 16, 146]], * Val accuracy / confusion: 54.62% / [[168, 39, 23], [65, 68, 42], [32, 35, 48]] ------------------------------ Epoch 541 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.265677 - Iter 024 / 025, Loss: 0.446851 * Train accuracy / confusion: 85.75% / [[320, 31, 6], [41, 209, 13], [10, 13, 157]], * Val accuracy / confusion: 56.92% / [[158, 42, 30], [57, 73, 45], [20, 30, 65]] ------------------------------ Epoch 542 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.261020 - Iter 024 / 025, Loss: 0.412131 * Train accuracy / confusion: 84.38% / [[312, 28, 15], [39, 215, 15], [10, 18, 148]], * Val accuracy / confusion: 51.73% / [[99, 89, 42], [35, 114, 26], [6, 53, 56]] ------------------------------ Epoch 543 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.254161 - Iter 024 / 025, Loss: 0.434194 * Train accuracy / confusion: 85.25% / [[318, 26, 9], [41, 208, 19], [10, 13, 156]], * Val accuracy / confusion: 58.46% / [[179, 37, 14], [82, 80, 13], [33, 37, 45]] ------------------------------ Epoch 544 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.433076 - Iter 024 / 025, Loss: 0.353440 * Train accuracy / confusion: 84.75% / [[317, 32, 9], [32, 218, 16], [12, 21, 143]], * Val accuracy / confusion: 58.85% / [[137, 80, 13], [39, 127, 9], [19, 54, 42]] ------------------------------ Epoch 545 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.287943 - Iter 024 / 025, Loss: 0.430248 * Train accuracy / confusion: 85.62% / [[318, 29, 11], [40, 211, 13], [10, 12, 156]], * Val accuracy / confusion: 53.08% / [[152, 45, 33], [76, 59, 40], [24, 26, 65]] ------------------------------ Epoch 546 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.327120 - Iter 024 / 025, Loss: 0.536412 * Train accuracy / confusion: 84.75% / [[310, 38, 9], [34, 214, 18], [11, 12, 154]], * Val accuracy / confusion: 60.38% / [[162, 54, 14], [62, 95, 18], [27, 31, 57]] ------------------------------ Epoch 547 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.177874 - Iter 024 / 025, Loss: 0.452761 * Train accuracy / confusion: 84.50% / [[324, 24, 6], [46, 212, 13], [13, 22, 140]], * Val accuracy / confusion: 53.65% / [[120, 88, 22], [40, 108, 27], [15, 49, 51]] ------------------------------ Epoch 548 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.509635 - Iter 024 / 025, Loss: 0.469576 * Train accuracy / confusion: 85.75% / [[322, 26, 7], [40, 206, 19], [10, 12, 158]], * Val accuracy / confusion: 59.42% / [[158, 66, 6], [60, 107, 8], [28, 43, 44]] ------------------------------ Epoch 549 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.566440 - Iter 024 / 025, Loss: 0.250437 * Train accuracy / confusion: 87.00% / [[318, 28, 8], [30, 226, 16], [11, 11, 152]], * Val accuracy / confusion: 56.15% / [[147, 47, 36], [51, 78, 46], [15, 33, 67]] ------------------------------ Epoch 550 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.332997 - Iter 024 / 025, Loss: 0.407919 * Train accuracy / confusion: 86.00% / [[315, 30, 6], [37, 224, 10], [7, 22, 149]], * Val accuracy / confusion: 59.04% / [[168, 28, 34], [59, 76, 40], [28, 24, 63]] ------------------------------ Epoch 551 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.203349 - Iter 024 / 025, Loss: 0.317354 * Train accuracy / confusion: 86.38% / [[316, 28, 13], [26, 218, 19], [11, 12, 157]], * Val accuracy / confusion: 58.08% / [[171, 51, 8], [79, 88, 8], [23, 49, 43]] ------------------------------ Epoch 552 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.329402 - Iter 024 / 025, Loss: 0.522545 * Train accuracy / confusion: 86.50% / [[325, 19, 11], [41, 211, 20], [6, 11, 156]], * Val accuracy / confusion: 54.62% / [[175, 15, 40], [71, 41, 63], [33, 14, 68]] ------------------------------ Epoch 553 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.523933 - Iter 024 / 025, Loss: 0.653139 * Train accuracy / confusion: 85.12% / [[321, 32, 5], [35, 220, 15], [11, 21, 140]], * Val accuracy / confusion: 53.65% / [[198, 30, 2], [117, 48, 10], [59, 23, 33]] ------------------------------ Epoch 554 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.283529 - Iter 024 / 025, Loss: 0.321465 * Train accuracy / confusion: 85.12% / [[311, 29, 14], [30, 228, 14], [12, 20, 142]], * Val accuracy / confusion: 58.65% / [[126, 80, 24], [28, 131, 16], [10, 57, 48]] ------------------------------ Epoch 555 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.406297 - Iter 024 / 025, Loss: 0.139772 * Train accuracy / confusion: 86.88% / [[327, 22, 9], [45, 214, 11], [7, 11, 154]], * Val accuracy / confusion: 61.35% / [[159, 50, 21], [35, 107, 33], [28, 34, 53]] ------------------------------ Epoch 556 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.388457 - Iter 024 / 025, Loss: 0.225454 * Train accuracy / confusion: 86.00% / [[325, 30, 5], [36, 220, 8], [15, 18, 143]], * Val accuracy / confusion: 58.27% / [[133, 72, 25], [46, 106, 23], [11, 40, 64]] ------------------------------ Epoch 557 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.478821 - Iter 024 / 025, Loss: 0.784396 * Train accuracy / confusion: 86.25% / [[318, 29, 10], [34, 216, 18], [7, 12, 156]], * Val accuracy / confusion: 55.58% / [[153, 49, 28], [55, 73, 47], [27, 25, 63]] ------------------------------ Epoch 558 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.302280 - Iter 024 / 025, Loss: 0.420752 * Train accuracy / confusion: 86.62% / [[319, 32, 6], [42, 219, 9], [6, 12, 155]], * Val accuracy / confusion: 59.04% / [[174, 51, 5], [71, 92, 12], [44, 30, 41]] ------------------------------ Epoch 559 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.423824 - Iter 024 / 025, Loss: 0.192718 * Train accuracy / confusion: 85.88% / [[307, 38, 7], [35, 223, 13], [9, 11, 157]], * Val accuracy / confusion: 58.08% / [[159, 52, 19], [55, 88, 32], [26, 34, 55]] ------------------------------ Epoch 560 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.265022 - Iter 024 / 025, Loss: 0.266893 * Train accuracy / confusion: 86.50% / [[317, 25, 9], [37, 221, 14], [14, 9, 154]], * Val accuracy / confusion: 59.81% / [[164, 43, 23], [59, 86, 30], [23, 31, 61]] ------------------------------ Epoch 561 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.153007 - Iter 024 / 025, Loss: 0.307429 * Train accuracy / confusion: 87.38% / [[316, 29, 8], [34, 225, 11], [7, 12, 158]], * Val accuracy / confusion: 58.65% / [[154, 46, 30], [55, 86, 34], [20, 30, 65]] ------------------------------ Epoch 562 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.536219 - Iter 024 / 025, Loss: 0.275903 * Train accuracy / confusion: 85.88% / [[311, 39, 8], [31, 224, 13], [7, 15, 152]], * Val accuracy / confusion: 56.35% / [[144, 69, 17], [41, 101, 33], [27, 40, 48]] ------------------------------ Epoch 563 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.257079 - Iter 024 / 025, Loss: 0.340984 * Train accuracy / confusion: 88.88% / [[338, 14, 6], [39, 216, 10], [8, 12, 157]], * Val accuracy / confusion: 59.04% / [[170, 49, 11], [69, 90, 16], [37, 31, 47]] ------------------------------ Epoch 564 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.270166 - Iter 024 / 025, Loss: 0.250324 * Train accuracy / confusion: 88.12% / [[321, 24, 14], [27, 233, 8], [9, 13, 151]], * Val accuracy / confusion: 57.31% / [[149, 50, 31], [47, 89, 39], [17, 38, 60]] ------------------------------ Epoch 565 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.402583 - Iter 024 / 025, Loss: 0.339115 * Train accuracy / confusion: 86.50% / [[321, 22, 10], [33, 219, 17], [10, 16, 152]], * Val accuracy / confusion: 57.31% / [[155, 65, 10], [57, 95, 23], [25, 42, 48]] ------------------------------ Epoch 566 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.264042 - Iter 024 / 025, Loss: 0.577887 * Train accuracy / confusion: 85.25% / [[318, 33, 5], [31, 217, 18], [12, 19, 147]], * Val accuracy / confusion: 58.08% / [[152, 49, 29], [51, 94, 30], [23, 36, 56]] ------------------------------ Epoch 567 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.301086 - Iter 024 / 025, Loss: 0.327655 * Train accuracy / confusion: 89.50% / [[325, 19, 8], [24, 230, 16], [9, 8, 161]], * Val accuracy / confusion: 51.15% / [[124, 56, 50], [50, 78, 47], [18, 33, 64]] ------------------------------ Epoch 568 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.275681 - Iter 024 / 025, Loss: 0.388483 * Train accuracy / confusion: 86.12% / [[321, 26, 11], [34, 220, 12], [8, 20, 148]], * Val accuracy / confusion: 59.23% / [[167, 39, 24], [58, 80, 37], [34, 20, 61]] ------------------------------ Epoch 569 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.233915 - Iter 024 / 025, Loss: 0.432024 * Train accuracy / confusion: 86.75% / [[320, 28, 8], [34, 217, 17], [8, 11, 157]], * Val accuracy / confusion: 56.15% / [[131, 80, 19], [44, 116, 15], [21, 49, 45]] ------------------------------ Epoch 570 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.221350 - Iter 024 / 025, Loss: 0.468422 * Train accuracy / confusion: 88.00% / [[331, 19, 7], [35, 221, 12], [12, 11, 152]], * Val accuracy / confusion: 53.65% / [[154, 44, 32], [64, 72, 39], [28, 34, 53]] ------------------------------ Epoch 571 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.493796 - Iter 024 / 025, Loss: 0.144623 * Train accuracy / confusion: 87.50% / [[319, 29, 7], [33, 226, 9], [11, 11, 155]], * Val accuracy / confusion: 58.46% / [[156, 49, 25], [56, 94, 25], [17, 44, 54]] ------------------------------ Epoch 572 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.219120 - Iter 024 / 025, Loss: 0.351070 * Train accuracy / confusion: 87.38% / [[320, 26, 10], [28, 221, 18], [5, 14, 158]], * Val accuracy / confusion: 57.69% / [[138, 55, 37], [44, 101, 30], [14, 40, 61]] ------------------------------ Epoch 573 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.256043 - Iter 024 / 025, Loss: 0.194202 * Train accuracy / confusion: 86.38% / [[313, 31, 12], [27, 229, 13], [10, 16, 149]], * Val accuracy / confusion: 56.15% / [[144, 63, 23], [56, 90, 29], [32, 25, 58]] ------------------------------ Epoch 574 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.104657 - Iter 024 / 025, Loss: 0.300846 * Train accuracy / confusion: 87.25% / [[334, 17, 5], [37, 219, 14], [14, 15, 145]], * Val accuracy / confusion: 54.42% / [[162, 30, 38], [70, 60, 45], [28, 26, 61]] ------------------------------ Epoch 575 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.289639 - Iter 024 / 025, Loss: 0.372603 * Train accuracy / confusion: 85.62% / [[314, 37, 9], [30, 217, 18], [11, 10, 154]], * Val accuracy / confusion: 60.38% / [[157, 54, 19], [54, 92, 29], [24, 26, 65]] ------------------------------ Epoch 576 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.257528 - Iter 024 / 025, Loss: 0.414363 * Train accuracy / confusion: 86.88% / [[330, 22, 4], [31, 224, 12], [19, 17, 141]], * Val accuracy / confusion: 57.88% / [[155, 42, 33], [51, 86, 38], [25, 30, 60]] ------------------------------ Epoch 577 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.282158 - Iter 024 / 025, Loss: 0.380486 * Train accuracy / confusion: 88.25% / [[321, 25, 9], [23, 234, 13], [10, 14, 151]], * Val accuracy / confusion: 55.38% / [[142, 44, 44], [41, 73, 61], [11, 31, 73]] ------------------------------ Epoch 578 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.548094 - Iter 024 / 025, Loss: 0.289305 * Train accuracy / confusion: 86.75% / [[310, 36, 5], [36, 226, 10], [8, 11, 158]], * Val accuracy / confusion: 57.88% / [[147, 56, 27], [32, 104, 39], [22, 43, 50]] ------------------------------ Epoch 579 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.400645 - Iter 024 / 025, Loss: 0.324409 * Train accuracy / confusion: 86.00% / [[323, 26, 9], [42, 213, 12], [8, 15, 152]], * Val accuracy / confusion: 62.50% / [[152, 55, 23], [49, 115, 11], [23, 34, 58]] ------------------------------ Epoch 580 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.147073 - Iter 024 / 025, Loss: 0.489146 * Train accuracy / confusion: 88.62% / [[328, 19, 5], [36, 223, 13], [9, 9, 158]], * Val accuracy / confusion: 60.77% / [[145, 65, 20], [33, 115, 27], [20, 39, 56]] ------------------------------ Epoch 581 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.141061 - Iter 024 / 025, Loss: 0.261995 * Train accuracy / confusion: 89.00% / [[328, 27, 5], [28, 226, 13], [4, 11, 158]], * Val accuracy / confusion: 60.96% / [[136, 68, 26], [41, 114, 20], [16, 32, 67]] ------------------------------ Epoch 582 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.254274 - Iter 024 / 025, Loss: 0.323260 * Train accuracy / confusion: 88.75% / [[331, 22, 6], [33, 218, 13], [6, 10, 161]], * Val accuracy / confusion: 58.27% / [[171, 32, 27], [65, 77, 33], [27, 33, 55]] ------------------------------ Epoch 583 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.243991 - Iter 024 / 025, Loss: 0.288399 * Train accuracy / confusion: 89.88% / [[330, 19, 6], [33, 233, 6], [4, 13, 156]], * Val accuracy / confusion: 57.88% / [[168, 31, 31], [56, 69, 50], [31, 20, 64]] ------------------------------ Epoch 584 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.356971 - Iter 024 / 025, Loss: 0.288661 * Train accuracy / confusion: 87.50% / [[329, 28, 6], [30, 218, 14], [10, 12, 153]], * Val accuracy / confusion: 57.69% / [[175, 36, 19], [70, 75, 30], [38, 27, 50]] ------------------------------ Epoch 585 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.196161 - Iter 024 / 025, Loss: 0.173910 * Train accuracy / confusion: 88.38% / [[332, 16, 6], [30, 217, 20], [8, 13, 158]], * Val accuracy / confusion: 59.62% / [[151, 54, 25], [49, 97, 29], [16, 37, 62]] ------------------------------ Epoch 586 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.274429 - Iter 024 / 025, Loss: 0.218483 * Train accuracy / confusion: 89.12% / [[317, 31, 7], [22, 242, 7], [10, 10, 154]], * Val accuracy / confusion: 54.62% / [[122, 74, 34], [30, 109, 36], [20, 42, 53]] ------------------------------ Epoch 587 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.214365 - Iter 024 / 025, Loss: 0.403108 * Train accuracy / confusion: 87.75% / [[320, 24, 11], [31, 224, 11], [14, 7, 158]], * Val accuracy / confusion: 60.38% / [[162, 55, 13], [58, 107, 10], [32, 38, 45]] ------------------------------ Epoch 588 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.228214 - Iter 024 / 025, Loss: 0.238823 * Train accuracy / confusion: 88.38% / [[324, 29, 5], [31, 220, 14], [4, 10, 163]], * Val accuracy / confusion: 54.23% / [[136, 59, 35], [49, 85, 41], [26, 28, 61]] ------------------------------ Epoch 589 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.223813 - Iter 024 / 025, Loss: 0.274128 * Train accuracy / confusion: 89.00% / [[329, 20, 6], [23, 229, 19], [11, 9, 154]], * Val accuracy / confusion: 54.81% / [[163, 31, 36], [78, 54, 43], [23, 24, 68]] ------------------------------ Epoch 590 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.209806 - Iter 024 / 025, Loss: 0.307728 * Train accuracy / confusion: 90.00% / [[334, 14, 6], [30, 229, 9], [8, 13, 157]], * Val accuracy / confusion: 59.04% / [[161, 54, 15], [58, 100, 17], [32, 37, 46]] ------------------------------ Epoch 591 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.409923 - Iter 024 / 025, Loss: 0.392466 * Train accuracy / confusion: 89.25% / [[319, 30, 6], [21, 234, 10], [12, 7, 161]], * Val accuracy / confusion: 52.88% / [[101, 110, 19], [37, 120, 18], [16, 45, 54]] ------------------------------ Epoch 592 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.375772 - Iter 024 / 025, Loss: 0.257645 * Train accuracy / confusion: 90.38% / [[331, 22, 4], [28, 225, 13], [6, 4, 167]], * Val accuracy / confusion: 53.27% / [[161, 45, 24], [85, 74, 16], [39, 34, 42]] ------------------------------ Epoch 593 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.377847 - Iter 024 / 025, Loss: 0.300621 * Train accuracy / confusion: 88.88% / [[327, 22, 7], [39, 222, 8], [3, 10, 162]], * Val accuracy / confusion: 59.23% / [[149, 47, 34], [46, 95, 34], [20, 31, 64]] ------------------------------ Epoch 594 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.352311 - Iter 024 / 025, Loss: 0.226800 * Train accuracy / confusion: 90.12% / [[326, 23, 6], [27, 235, 7], [5, 11, 160]], * Val accuracy / confusion: 57.69% / [[167, 42, 21], [72, 76, 27], [33, 25, 57]] ------------------------------ Epoch 595 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.509154 - Iter 024 / 025, Loss: 0.297502 * Train accuracy / confusion: 89.12% / [[327, 24, 6], [30, 225, 11], [8, 8, 161]], * Val accuracy / confusion: 54.81% / [[139, 34, 57], [28, 67, 80], [14, 22, 79]] ------------------------------ Epoch 596 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.206750 - Iter 024 / 025, Loss: 0.206303 * Train accuracy / confusion: 89.38% / [[332, 14, 12], [28, 229, 9], [9, 13, 154]], * Val accuracy / confusion: 57.12% / [[156, 55, 19], [64, 92, 19], [36, 30, 49]] ------------------------------ Epoch 597 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.376015 - Iter 024 / 025, Loss: 0.229549 * Train accuracy / confusion: 90.62% / [[328, 18, 7], [24, 233, 12], [7, 7, 164]], * Val accuracy / confusion: 59.23% / [[171, 39, 20], [71, 81, 23], [29, 30, 56]] ------------------------------ Epoch 598 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.290705 - Iter 024 / 025, Loss: 0.389714 * Train accuracy / confusion: 90.00% / [[323, 22, 9], [21, 240, 9], [11, 8, 157]], * Val accuracy / confusion: 55.77% / [[131, 65, 34], [40, 104, 31], [20, 40, 55]] ------------------------------ Epoch 599 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.239871 - Iter 024 / 025, Loss: 0.288933 * Train accuracy / confusion: 87.62% / [[322, 30, 2], [35, 222, 13], [10, 9, 157]], * Val accuracy / confusion: 56.92% / [[179, 36, 15], [76, 74, 25], [44, 28, 43]] ------------------------------ Epoch 600 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.186734 - Iter 024 / 025, Loss: 0.254740 * Train accuracy / confusion: 89.50% / [[331, 18, 8], [30, 230, 8], [7, 13, 155]], * Val accuracy / confusion: 53.85% / [[119, 86, 25], [46, 105, 24], [16, 43, 56]] ------------------------------ Epoch 601 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.237598 - Iter 024 / 025, Loss: 0.165017 * Train accuracy / confusion: 90.75% / [[327, 21, 6], [24, 235, 9], [10, 4, 164]], * Val accuracy / confusion: 56.92% / [[147, 55, 28], [60, 92, 23], [19, 39, 57]] ------------------------------ Epoch 602 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.135569 - Iter 024 / 025, Loss: 0.089739 * Train accuracy / confusion: 91.12% / [[329, 21, 10], [22, 236, 8], [5, 5, 164]], * Val accuracy / confusion: 59.23% / [[162, 41, 27], [53, 94, 28], [29, 34, 52]] ------------------------------ Epoch 603 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.222412 - Iter 024 / 025, Loss: 0.180414 * Train accuracy / confusion: 91.50% / [[334, 23, 2], [23, 232, 12], [6, 2, 166]], * Val accuracy / confusion: 59.62% / [[165, 37, 28], [64, 90, 21], [28, 32, 55]] ------------------------------ Epoch 604 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.206771 - Iter 024 / 025, Loss: 0.286197 * Train accuracy / confusion: 89.88% / [[329, 21, 6], [28, 234, 8], [8, 10, 156]], * Val accuracy / confusion: 55.58% / [[153, 51, 26], [63, 86, 26], [26, 39, 50]] ------------------------------ Epoch 605 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.170318 - Iter 024 / 025, Loss: 0.157642 * Train accuracy / confusion: 91.88% / [[337, 16, 4], [18, 239, 8], [10, 9, 159]], * Val accuracy / confusion: 55.77% / [[153, 52, 25], [63, 86, 26], [25, 39, 51]] ------------------------------ Epoch 606 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.197981 - Iter 024 / 025, Loss: 0.209352 * Train accuracy / confusion: 92.12% / [[337, 15, 2], [25, 238, 4], [6, 11, 162]], * Val accuracy / confusion: 57.88% / [[157, 51, 22], [57, 92, 26], [23, 40, 52]] ------------------------------ Epoch 607 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.160474 - Iter 024 / 025, Loss: 0.222811 * Train accuracy / confusion: 90.62% / [[334, 15, 5], [27, 231, 10], [9, 9, 160]], * Val accuracy / confusion: 58.85% / [[156, 52, 22], [53, 97, 25], [23, 39, 53]] ------------------------------ Epoch 608 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.135139 - Iter 024 / 025, Loss: 0.435227 * Train accuracy / confusion: 90.50% / [[330, 20, 8], [20, 232, 14], [5, 9, 162]], * Val accuracy / confusion: 57.69% / [[156, 49, 25], [50, 92, 33], [26, 37, 52]] ------------------------------ Epoch 609 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.109745 - Iter 024 / 025, Loss: 0.230156 * Train accuracy / confusion: 92.25% / [[334, 17, 7], [20, 243, 3], [10, 5, 161]], * Val accuracy / confusion: 58.46% / [[156, 47, 27], [60, 92, 23], [25, 34, 56]] ------------------------------ Epoch 610 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.113248 - Iter 024 / 025, Loss: 0.351963 * Train accuracy / confusion: 91.50% / [[326, 19, 4], [25, 238, 10], [5, 5, 168]], * Val accuracy / confusion: 57.50% / [[150, 54, 26], [58, 90, 27], [21, 35, 59]] ------------------------------ Epoch 611 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.240799 - Iter 024 / 025, Loss: 0.222810 * Train accuracy / confusion: 92.25% / [[331, 17, 6], [19, 245, 5], [6, 9, 162]], * Val accuracy / confusion: 57.31% / [[156, 50, 24], [55, 91, 29], [28, 36, 51]] ------------------------------ Epoch 612 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.357207 - Iter 024 / 025, Loss: 0.100150 * Train accuracy / confusion: 93.50% / [[334, 17, 4], [19, 247, 5], [4, 3, 167]], * Val accuracy / confusion: 56.15% / [[152, 44, 34], [55, 92, 28], [26, 41, 48]] ------------------------------ Epoch 613 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.282620 - Iter 024 / 025, Loss: 0.114533 * Train accuracy / confusion: 92.75% / [[335, 13, 5], [23, 238, 9], [3, 5, 169]], * Val accuracy / confusion: 57.88% / [[159, 46, 25], [57, 86, 32], [25, 34, 56]] ------------------------------ Epoch 614 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.198860 - Iter 024 / 025, Loss: 0.256526 * Train accuracy / confusion: 91.00% / [[327, 21, 5], [23, 238, 9], [9, 5, 163]], * Val accuracy / confusion: 60.19% / [[167, 37, 26], [58, 90, 27], [22, 37, 56]] ------------------------------ Epoch 615 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.090096 - Iter 024 / 025, Loss: 0.113697 * Train accuracy / confusion: 91.75% / [[336, 12, 6], [26, 235, 6], [7, 9, 163]], * Val accuracy / confusion: 56.92% / [[141, 58, 31], [51, 101, 23], [26, 35, 54]] ------------------------------ Epoch 616 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.139053 - Iter 024 / 025, Loss: 0.250994 * Train accuracy / confusion: 91.88% / [[332, 21, 5], [16, 239, 9], [5, 9, 164]], * Val accuracy / confusion: 55.00% / [[147, 53, 30], [53, 87, 35], [28, 35, 52]] ------------------------------ Epoch 617 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.222885 - Iter 024 / 025, Loss: 0.111825 * Train accuracy / confusion: 91.88% / [[330, 19, 6], [19, 235, 13], [4, 4, 170]], * Val accuracy / confusion: 57.69% / [[162, 38, 30], [62, 84, 29], [28, 33, 54]] ------------------------------ Epoch 618 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.050601 - Iter 024 / 025, Loss: 0.209474 * Train accuracy / confusion: 93.12% / [[339, 16, 2], [25, 237, 4], [3, 5, 169]], * Val accuracy / confusion: 60.58% / [[159, 44, 27], [57, 101, 17], [21, 39, 55]] ------------------------------ Epoch 619 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.153447 - Iter 024 / 025, Loss: 0.150000 * Train accuracy / confusion: 92.88% / [[342, 11, 3], [25, 233, 8], [4, 6, 168]], * Val accuracy / confusion: 57.31% / [[159, 45, 26], [58, 90, 27], [22, 44, 49]] ------------------------------ Epoch 620 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.136159 - Iter 024 / 025, Loss: 0.100774 * Train accuracy / confusion: 92.62% / [[339, 13, 4], [22, 236, 8], [6, 6, 166]], * Val accuracy / confusion: 56.15% / [[160, 52, 18], [60, 86, 29], [27, 42, 46]] ------------------------------ Epoch 621 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.219500 - Iter 024 / 025, Loss: 0.231673 * Train accuracy / confusion: 93.12% / [[334, 15, 6], [17, 250, 3], [5, 9, 161]], * Val accuracy / confusion: 56.54% / [[149, 58, 23], [58, 89, 28], [32, 27, 56]] ------------------------------ Epoch 622 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.130034 - Iter 024 / 025, Loss: 0.158422 * Train accuracy / confusion: 92.50% / [[338, 18, 2], [20, 241, 5], [8, 7, 161]], * Val accuracy / confusion: 57.50% / [[150, 56, 24], [51, 92, 32], [22, 36, 57]] ------------------------------ Epoch 623 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.118895 - Iter 024 / 025, Loss: 0.208116 * Train accuracy / confusion: 93.62% / [[338, 15, 4], [17, 242, 5], [3, 7, 169]], * Val accuracy / confusion: 55.38% / [[146, 58, 26], [56, 90, 29], [28, 35, 52]] ------------------------------ Epoch 624 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.189563 - Iter 024 / 025, Loss: 0.086273 * Train accuracy / confusion: 93.62% / [[336, 18, 4], [13, 250, 3], [5, 8, 163]], * Val accuracy / confusion: 59.62% / [[158, 44, 28], [51, 96, 28], [29, 30, 56]] ------------------------------ Epoch 625 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.284807 - Iter 024 / 025, Loss: 0.140163 * Train accuracy / confusion: 92.38% / [[344, 12, 3], [22, 229, 13], [4, 7, 166]], * Val accuracy / confusion: 57.50% / [[157, 44, 29], [55, 89, 31], [26, 36, 53]] ------------------------------ Epoch 626 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.169694 - Iter 024 / 025, Loss: 0.119892 * Train accuracy / confusion: 91.62% / [[337, 15, 3], [23, 235, 10], [6, 10, 161]], * Val accuracy / confusion: 59.04% / [[154, 46, 30], [53, 95, 27], [24, 33, 58]] ------------------------------ Epoch 627 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.134474 - Iter 024 / 025, Loss: 0.245709 * Train accuracy / confusion: 91.50% / [[333, 18, 4], [23, 236, 8], [6, 9, 163]], * Val accuracy / confusion: 57.12% / [[156, 50, 24], [61, 92, 22], [33, 33, 49]] ------------------------------ Epoch 628 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.106028 - Iter 024 / 025, Loss: 0.092312 * Train accuracy / confusion: 93.62% / [[340, 16, 1], [17, 247, 4], [4, 9, 162]], * Val accuracy / confusion: 58.27% / [[152, 52, 26], [50, 96, 29], [26, 34, 55]] ------------------------------ Epoch 629 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.175562 - Iter 024 / 025, Loss: 0.137097 * Train accuracy / confusion: 94.12% / [[338, 14, 3], [17, 246, 8], [2, 3, 169]], * Val accuracy / confusion: 56.54% / [[150, 57, 23], [60, 88, 27], [21, 38, 56]] ------------------------------ Epoch 630 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.114971 - Iter 024 / 025, Loss: 0.167026 * Train accuracy / confusion: 92.88% / [[332, 19, 4], [20, 241, 5], [1, 8, 170]], * Val accuracy / confusion: 58.27% / [[160, 43, 27], [58, 89, 28], [23, 38, 54]] ------------------------------ Epoch 631 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.218098 - Iter 024 / 025, Loss: 0.123141 * Train accuracy / confusion: 91.88% / [[338, 16, 4], [20, 235, 12], [6, 7, 162]], * Val accuracy / confusion: 59.23% / [[151, 50, 29], [52, 100, 23], [27, 31, 57]] ------------------------------ Epoch 632 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.227747 - Iter 024 / 025, Loss: 0.163427 * Train accuracy / confusion: 94.00% / [[343, 10, 2], [22, 236, 6], [3, 5, 173]], * Val accuracy / confusion: 57.50% / [[157, 48, 25], [59, 90, 26], [26, 37, 52]] ------------------------------ Epoch 633 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.109638 - Iter 024 / 025, Loss: 0.073373 * Train accuracy / confusion: 94.12% / [[335, 18, 3], [10, 253, 5], [3, 8, 165]], * Val accuracy / confusion: 56.35% / [[148, 47, 35], [55, 91, 29], [25, 36, 54]] ------------------------------ Epoch 634 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.158359 - Iter 024 / 025, Loss: 0.207601 * Train accuracy / confusion: 93.88% / [[341, 12, 4], [24, 242, 5], [2, 2, 168]], * Val accuracy / confusion: 58.08% / [[162, 48, 20], [62, 91, 22], [31, 35, 49]] ------------------------------ Epoch 635 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.139915 - Iter 024 / 025, Loss: 0.330102 * Train accuracy / confusion: 91.88% / [[332, 20, 7], [19, 245, 5], [9, 5, 158]], * Val accuracy / confusion: 58.85% / [[152, 55, 23], [49, 99, 27], [23, 37, 55]] ------------------------------ Epoch 636 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.077709 - Iter 024 / 025, Loss: 0.231531 * Train accuracy / confusion: 94.38% / [[345, 13, 5], [18, 243, 1], [3, 5, 167]], * Val accuracy / confusion: 56.35% / [[151, 46, 33], [55, 93, 27], [32, 34, 49]] ------------------------------ Epoch 637 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.117063 - Iter 024 / 025, Loss: 0.239008 * Train accuracy / confusion: 92.88% / [[340, 13, 6], [21, 234, 6], [8, 3, 169]], * Val accuracy / confusion: 60.19% / [[159, 45, 26], [53, 98, 24], [20, 39, 56]] ------------------------------ Epoch 638 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.202101 - Iter 024 / 025, Loss: 0.191955 * Train accuracy / confusion: 93.88% / [[337, 13, 6], [19, 249, 4], [6, 1, 165]], * Val accuracy / confusion: 56.54% / [[147, 57, 26], [60, 90, 25], [21, 37, 57]] ------------------------------ Epoch 639 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.181562 - Iter 024 / 025, Loss: 0.163719 * Train accuracy / confusion: 92.62% / [[337, 18, 3], [26, 237, 3], [3, 6, 167]], * Val accuracy / confusion: 59.04% / [[157, 49, 24], [53, 100, 22], [29, 36, 50]] ------------------------------ Epoch 640 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.175318 - Iter 024 / 025, Loss: 0.129396 * Train accuracy / confusion: 93.88% / [[336, 11, 6], [18, 248, 2], [4, 8, 167]], * Val accuracy / confusion: 56.73% / [[157, 55, 18], [73, 79, 23], [25, 31, 59]] ------------------------------ Epoch 641 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.237730 - Iter 024 / 025, Loss: 0.080486 * Train accuracy / confusion: 93.75% / [[337, 14, 0], [16, 250, 6], [5, 9, 163]], * Val accuracy / confusion: 56.54% / [[158, 45, 27], [50, 88, 37], [28, 39, 48]] ------------------------------ Epoch 642 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.081030 - Iter 024 / 025, Loss: 0.139368 * Train accuracy / confusion: 93.50% / [[335, 15, 5], [14, 247, 9], [2, 7, 166]], * Val accuracy / confusion: 57.12% / [[151, 54, 25], [49, 94, 32], [27, 36, 52]] ------------------------------ Epoch 643 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.359203 - Iter 024 / 025, Loss: 0.187621 * Train accuracy / confusion: 92.25% / [[333, 17, 1], [26, 238, 6], [4, 8, 167]], * Val accuracy / confusion: 57.69% / [[153, 57, 20], [54, 94, 27], [26, 36, 53]] ------------------------------ Epoch 644 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.116670 - Iter 024 / 025, Loss: 0.342811 * Train accuracy / confusion: 93.00% / [[335, 16, 1], [19, 244, 11], [3, 6, 165]], * Val accuracy / confusion: 57.88% / [[158, 53, 19], [57, 92, 26], [33, 31, 51]] ------------------------------ Epoch 645 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.142903 - Iter 024 / 025, Loss: 0.269604 * Train accuracy / confusion: 93.75% / [[341, 18, 2], [18, 241, 4], [2, 6, 168]], * Val accuracy / confusion: 58.27% / [[155, 45, 30], [51, 93, 31], [25, 35, 55]] ------------------------------ Epoch 646 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.157178 - Iter 024 / 025, Loss: 0.124389 * Train accuracy / confusion: 93.50% / [[338, 13, 5], [21, 243, 5], [4, 4, 167]], * Val accuracy / confusion: 54.81% / [[147, 62, 21], [49, 85, 41], [24, 38, 53]] ------------------------------ Epoch 647 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.232241 - Iter 024 / 025, Loss: 0.135454 * Train accuracy / confusion: 94.38% / [[346, 12, 2], [17, 245, 5], [2, 7, 164]], * Val accuracy / confusion: 58.27% / [[158, 48, 24], [58, 90, 27], [22, 38, 55]] ------------------------------ Epoch 648 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.198853 - Iter 024 / 025, Loss: 0.168253 * Train accuracy / confusion: 93.50% / [[338, 14, 2], [21, 240, 8], [2, 5, 170]], * Val accuracy / confusion: 57.88% / [[161, 45, 24], [59, 87, 29], [26, 36, 53]] ------------------------------ Epoch 649 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.205076 - Iter 024 / 025, Loss: 0.211317 * Train accuracy / confusion: 94.00% / [[339, 13, 5], [20, 243, 3], [3, 4, 170]], * Val accuracy / confusion: 59.23% / [[161, 48, 21], [49, 99, 27], [24, 43, 48]] ------------------------------ Epoch 650 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.038354 - Iter 024 / 025, Loss: 0.079565 * Train accuracy / confusion: 93.62% / [[345, 8, 5], [21, 241, 6], [6, 5, 163]], * Val accuracy / confusion: 56.54% / [[153, 52, 25], [55, 91, 29], [30, 35, 50]] ------------------------------ Epoch 651 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.179256 - Iter 024 / 025, Loss: 0.281675 * Train accuracy / confusion: 93.00% / [[342, 10, 5], [14, 239, 12], [6, 9, 163]], * Val accuracy / confusion: 58.27% / [[150, 51, 29], [52, 99, 24], [26, 35, 54]] ------------------------------ Epoch 652 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.127043 - Iter 024 / 025, Loss: 0.179799 * Train accuracy / confusion: 94.50% / [[341, 11, 5], [14, 246, 8], [1, 5, 169]], * Val accuracy / confusion: 55.58% / [[151, 44, 35], [56, 81, 38], [27, 31, 57]] ------------------------------ Epoch 653 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.210996 - Iter 024 / 025, Loss: 0.363923 * Train accuracy / confusion: 93.12% / [[339, 14, 2], [20, 241, 6], [5, 8, 165]], * Val accuracy / confusion: 59.42% / [[156, 46, 28], [57, 95, 23], [21, 36, 58]] ------------------------------ Epoch 654 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.162525 - Iter 024 / 025, Loss: 0.044388 * Train accuracy / confusion: 93.75% / [[342, 15, 3], [19, 240, 6], [2, 5, 168]], * Val accuracy / confusion: 57.12% / [[150, 54, 26], [62, 92, 21], [27, 33, 55]] ------------------------------ Epoch 655 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.186868 - Iter 024 / 025, Loss: 0.351722 * Train accuracy / confusion: 94.25% / [[340, 15, 2], [18, 246, 6], [3, 2, 168]], * Val accuracy / confusion: 58.08% / [[152, 47, 31], [53, 91, 31], [18, 38, 59]] ------------------------------ Epoch 656 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.178231 - Iter 024 / 025, Loss: 0.144204 * Train accuracy / confusion: 94.12% / [[338, 13, 4], [15, 248, 6], [5, 4, 167]], * Val accuracy / confusion: 59.23% / [[157, 44, 29], [54, 98, 23], [22, 40, 53]] ------------------------------ Epoch 657 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.234333 - Iter 024 / 025, Loss: 0.144615 * Train accuracy / confusion: 93.00% / [[335, 15, 9], [21, 241, 6], [1, 4, 168]], * Val accuracy / confusion: 58.27% / [[151, 54, 25], [53, 100, 22], [24, 39, 52]] ------------------------------ Epoch 658 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.148700 - Iter 024 / 025, Loss: 0.139065 * Train accuracy / confusion: 94.50% / [[331, 17, 4], [12, 251, 4], [1, 6, 174]], * Val accuracy / confusion: 59.62% / [[161, 48, 21], [59, 91, 25], [26, 31, 58]] ------------------------------ Epoch 659 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.085277 - Iter 024 / 025, Loss: 0.087608 * Train accuracy / confusion: 94.12% / [[341, 14, 0], [20, 243, 7], [4, 2, 169]], * Val accuracy / confusion: 55.38% / [[149, 49, 32], [53, 86, 36], [27, 35, 53]] ------------------------------ Epoch 660 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.148413 - Iter 024 / 025, Loss: 0.200086 * Train accuracy / confusion: 95.25% / [[343, 10, 3], [13, 250, 4], [4, 4, 169]], * Val accuracy / confusion: 57.50% / [[149, 57, 24], [47, 99, 29], [24, 40, 51]] ------------------------------ Epoch 661 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.106958 - Iter 024 / 025, Loss: 0.245288 * Train accuracy / confusion: 93.88% / [[348, 11, 3], [20, 241, 4], [5, 6, 162]], * Val accuracy / confusion: 56.35% / [[150, 46, 34], [52, 86, 37], [23, 35, 57]] ------------------------------ Epoch 662 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.257650 - Iter 024 / 025, Loss: 0.204215 * Train accuracy / confusion: 93.50% / [[333, 18, 5], [14, 246, 7], [2, 6, 169]], * Val accuracy / confusion: 56.92% / [[152, 53, 25], [57, 88, 30], [28, 31, 56]] ------------------------------ Epoch 663 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.240972 - Iter 024 / 025, Loss: 0.231091 * Train accuracy / confusion: 93.62% / [[336, 13, 6], [19, 243, 4], [3, 6, 170]], * Val accuracy / confusion: 57.50% / [[153, 51, 26], [52, 96, 27], [30, 35, 50]] ------------------------------ Epoch 664 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.273407 - Iter 024 / 025, Loss: 0.347202 * Train accuracy / confusion: 94.25% / [[336, 14, 6], [14, 249, 5], [4, 3, 169]], * Val accuracy / confusion: 58.85% / [[155, 49, 26], [42, 101, 32], [27, 38, 50]] ------------------------------ Epoch 665 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.329469 - Iter 024 / 025, Loss: 0.214306 * Train accuracy / confusion: 94.62% / [[341, 11, 4], [15, 251, 4], [2, 7, 165]], * Val accuracy / confusion: 55.77% / [[148, 54, 28], [57, 83, 35], [26, 30, 59]] ------------------------------ Epoch 666 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.053622 - Iter 024 / 025, Loss: 0.372715 * Train accuracy / confusion: 93.00% / [[333, 15, 10], [19, 244, 3], [4, 5, 167]], * Val accuracy / confusion: 55.77% / [[151, 53, 26], [58, 94, 23], [32, 38, 45]] ------------------------------ Epoch 667 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.078083 - Iter 024 / 025, Loss: 0.077900 * Train accuracy / confusion: 94.88% / [[346, 11, 3], [15, 245, 4], [4, 4, 168]], * Val accuracy / confusion: 57.69% / [[158, 50, 22], [58, 93, 24], [28, 38, 49]] ------------------------------ Epoch 668 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.145585 - Iter 024 / 025, Loss: 0.263850 * Train accuracy / confusion: 93.62% / [[342, 12, 4], [16, 242, 8], [4, 7, 165]], * Val accuracy / confusion: 56.92% / [[154, 52, 24], [64, 90, 21], [22, 41, 52]] ------------------------------ Epoch 669 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.263027 - Iter 024 / 025, Loss: 0.253716 * Train accuracy / confusion: 94.62% / [[337, 13, 6], [15, 251, 2], [3, 4, 169]], * Val accuracy / confusion: 55.96% / [[147, 52, 31], [50, 90, 35], [22, 39, 54]] ------------------------------ Epoch 670 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.152674 - Iter 024 / 025, Loss: 0.075096 * Train accuracy / confusion: 93.50% / [[337, 16, 3], [14, 246, 4], [5, 10, 165]], * Val accuracy / confusion: 58.65% / [[156, 47, 27], [54, 91, 30], [28, 29, 58]] ------------------------------ Epoch 671 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.100724 - Iter 024 / 025, Loss: 0.168395 * Train accuracy / confusion: 94.50% / [[349, 8, 4], [12, 241, 11], [4, 5, 166]], * Val accuracy / confusion: 57.88% / [[156, 46, 28], [51, 88, 36], [27, 31, 57]] ------------------------------ Epoch 672 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.084719 - Iter 024 / 025, Loss: 0.212986 * Train accuracy / confusion: 94.38% / [[338, 12, 2], [15, 250, 9], [4, 3, 167]], * Val accuracy / confusion: 59.62% / [[158, 48, 24], [52, 91, 32], [20, 34, 61]] ------------------------------ Epoch 673 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.093509 - Iter 024 / 025, Loss: 0.081685 * Train accuracy / confusion: 93.00% / [[336, 14, 5], [20, 243, 7], [5, 5, 165]], * Val accuracy / confusion: 57.12% / [[156, 48, 26], [63, 88, 24], [28, 34, 53]] ------------------------------ Epoch 674 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.197955 - Iter 024 / 025, Loss: 0.288105 * Train accuracy / confusion: 94.88% / [[335, 15, 2], [15, 246, 4], [1, 4, 178]], * Val accuracy / confusion: 59.62% / [[155, 49, 26], [58, 97, 20], [20, 37, 58]] ------------------------------ Epoch 675 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.144320 - Iter 024 / 025, Loss: 0.085782 * Train accuracy / confusion: 93.75% / [[342, 13, 5], [19, 241, 5], [3, 5, 167]], * Val accuracy / confusion: 60.00% / [[161, 43, 26], [55, 94, 26], [26, 32, 57]] ------------------------------ Epoch 676 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.175522 - Iter 024 / 025, Loss: 0.184176 * Train accuracy / confusion: 95.25% / [[342, 9, 1], [15, 252, 4], [4, 5, 168]], * Val accuracy / confusion: 60.19% / [[165, 40, 25], [55, 90, 30], [27, 30, 58]] ------------------------------ Epoch 677 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.384214 - Iter 024 / 025, Loss: 0.254792 * Train accuracy / confusion: 94.00% / [[334, 16, 3], [15, 252, 4], [2, 8, 166]], * Val accuracy / confusion: 59.81% / [[157, 48, 25], [50, 99, 26], [23, 37, 55]] ------------------------------ Epoch 678 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.275731 - Iter 024 / 025, Loss: 0.167060 * Train accuracy / confusion: 95.00% / [[346, 9, 1], [16, 243, 6], [3, 5, 171]], * Val accuracy / confusion: 60.77% / [[165, 37, 28], [58, 91, 26], [25, 30, 60]] ------------------------------ Epoch 679 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.117315 - Iter 024 / 025, Loss: 0.272426 * Train accuracy / confusion: 94.38% / [[345, 9, 3], [17, 242, 6], [8, 2, 168]], * Val accuracy / confusion: 58.46% / [[150, 44, 36], [49, 95, 31], [22, 34, 59]] ------------------------------ Epoch 680 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.246397 - Iter 024 / 025, Loss: 0.165249 * Train accuracy / confusion: 92.38% / [[326, 21, 6], [14, 247, 7], [3, 10, 166]], * Val accuracy / confusion: 59.04% / [[154, 47, 29], [56, 94, 25], [25, 31, 59]] ------------------------------ Epoch 681 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.131293 - Iter 024 / 025, Loss: 0.082526 * Train accuracy / confusion: 93.62% / [[340, 13, 2], [21, 239, 8], [1, 6, 170]], * Val accuracy / confusion: 57.12% / [[151, 53, 26], [52, 99, 24], [29, 39, 47]] ------------------------------ Epoch 682 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.165391 - Iter 024 / 025, Loss: 0.231760 * Train accuracy / confusion: 94.38% / [[337, 11, 4], [17, 250, 6], [4, 3, 168]], * Val accuracy / confusion: 57.31% / [[156, 58, 16], [59, 92, 24], [28, 37, 50]] ------------------------------ Epoch 683 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.249494 - Iter 024 / 025, Loss: 0.190219 * Train accuracy / confusion: 93.12% / [[336, 21, 3], [17, 246, 3], [5, 6, 163]], * Val accuracy / confusion: 58.08% / [[153, 47, 30], [54, 95, 26], [26, 35, 54]] ------------------------------ Epoch 684 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.058720 - Iter 024 / 025, Loss: 0.098134 * Train accuracy / confusion: 94.50% / [[342, 15, 5], [14, 246, 4], [1, 5, 168]], * Val accuracy / confusion: 55.19% / [[141, 59, 30], [47, 93, 35], [28, 34, 53]] ------------------------------ Epoch 685 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.116795 - Iter 024 / 025, Loss: 0.146565 * Train accuracy / confusion: 94.75% / [[342, 16, 2], [16, 249, 2], [3, 3, 167]], * Val accuracy / confusion: 60.00% / [[160, 48, 22], [52, 93, 30], [23, 33, 59]] ------------------------------ Epoch 686 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.113679 - Iter 024 / 025, Loss: 0.113609 * Train accuracy / confusion: 95.12% / [[340, 13, 1], [10, 254, 7], [6, 2, 167]], * Val accuracy / confusion: 59.81% / [[160, 44, 26], [61, 87, 27], [23, 28, 64]] ------------------------------ Epoch 687 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.138131 - Iter 024 / 025, Loss: 0.057383 * Train accuracy / confusion: 94.25% / [[342, 11, 4], [19, 243, 6], [1, 5, 169]], * Val accuracy / confusion: 58.08% / [[151, 51, 28], [35, 100, 40], [21, 43, 51]] ------------------------------ Epoch 688 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.165442 - Iter 024 / 025, Loss: 0.151817 * Train accuracy / confusion: 95.25% / [[349, 8, 3], [11, 251, 5], [3, 8, 162]], * Val accuracy / confusion: 59.23% / [[156, 51, 23], [52, 87, 36], [23, 27, 65]] ------------------------------ Epoch 689 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.190933 - Iter 024 / 025, Loss: 0.114131 * Train accuracy / confusion: 94.00% / [[339, 13, 2], [18, 247, 6], [4, 5, 166]], * Val accuracy / confusion: 58.46% / [[151, 57, 22], [53, 96, 26], [27, 31, 57]] ------------------------------ Epoch 690 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.148239 - Iter 024 / 025, Loss: 0.275627 * Train accuracy / confusion: 95.25% / [[343, 6, 3], [13, 255, 3], [6, 7, 164]], * Val accuracy / confusion: 59.62% / [[160, 43, 27], [57, 95, 23], [31, 29, 55]] ------------------------------ Epoch 691 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.351766 - Iter 024 / 025, Loss: 0.202708 * Train accuracy / confusion: 93.88% / [[333, 14, 4], [15, 254, 3], [3, 10, 164]], * Val accuracy / confusion: 57.50% / [[155, 47, 28], [62, 88, 25], [25, 34, 56]] ------------------------------ Epoch 692 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.163191 - Iter 024 / 025, Loss: 0.310689 * Train accuracy / confusion: 95.00% / [[339, 12, 4], [14, 249, 4], [4, 2, 172]], * Val accuracy / confusion: 60.19% / [[155, 52, 23], [43, 107, 25], [28, 36, 51]] ------------------------------ Epoch 693 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.126135 - Iter 024 / 025, Loss: 0.093574 * Train accuracy / confusion: 94.62% / [[340, 15, 2], [10, 248, 7], [1, 8, 169]], * Val accuracy / confusion: 59.23% / [[155, 52, 23], [50, 91, 34], [21, 32, 62]] ------------------------------ Epoch 694 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.131117 - Iter 024 / 025, Loss: 0.113171 * Train accuracy / confusion: 94.88% / [[340, 13, 4], [11, 253, 3], [6, 4, 166]], * Val accuracy / confusion: 60.38% / [[154, 48, 28], [41, 103, 31], [25, 33, 57]] ------------------------------ Epoch 695 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.228178 - Iter 024 / 025, Loss: 0.084161 * Train accuracy / confusion: 94.25% / [[338, 14, 2], [19, 247, 6], [3, 2, 169]], * Val accuracy / confusion: 59.81% / [[153, 49, 28], [48, 98, 29], [22, 33, 60]] ------------------------------ Epoch 696 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.157931 - Iter 024 / 025, Loss: 0.373107 * Train accuracy / confusion: 94.12% / [[338, 14, 6], [15, 245, 5], [4, 3, 170]], * Val accuracy / confusion: 58.65% / [[145, 48, 37], [44, 95, 36], [21, 29, 65]] ------------------------------ Epoch 697 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.070708 - Iter 024 / 025, Loss: 0.401251 * Train accuracy / confusion: 94.38% / [[339, 13, 3], [13, 249, 6], [4, 6, 167]], * Val accuracy / confusion: 58.65% / [[157, 46, 27], [60, 87, 28], [21, 33, 61]] ------------------------------ Epoch 698 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.092364 - Iter 024 / 025, Loss: 0.261506 * Train accuracy / confusion: 93.88% / [[344, 9, 2], [22, 240, 6], [4, 6, 167]], * Val accuracy / confusion: 59.04% / [[156, 49, 25], [58, 97, 20], [24, 37, 54]] ------------------------------ Epoch 699 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.268462 - Iter 024 / 025, Loss: 0.073798 * Train accuracy / confusion: 93.38% / [[335, 21, 2], [16, 247, 1], [5, 8, 165]], * Val accuracy / confusion: 60.00% / [[150, 54, 26], [45, 104, 26], [23, 34, 58]] ------------------------------ Epoch 700 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.126656 - Iter 024 / 025, Loss: 0.081189 * Train accuracy / confusion: 94.12% / [[337, 14, 2], [18, 247, 4], [6, 3, 169]], * Val accuracy / confusion: 60.00% / [[150, 53, 27], [56, 99, 20], [23, 29, 63]] ------------------------------ Epoch 701 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.105279 - Iter 024 / 025, Loss: 0.187186 * Train accuracy / confusion: 95.38% / [[345, 10, 3], [13, 249, 6], [3, 2, 169]], * Val accuracy / confusion: 58.27% / [[142, 56, 32], [52, 99, 24], [23, 30, 62]] ------------------------------ Epoch 702 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.231445 - Iter 024 / 025, Loss: 0.241158 * Train accuracy / confusion: 94.75% / [[342, 13, 2], [15, 242, 6], [3, 3, 174]], * Val accuracy / confusion: 57.12% / [[149, 50, 31], [56, 93, 26], [22, 38, 55]] ------------------------------ Epoch 703 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.141285 - Iter 024 / 025, Loss: 0.067926 * Train accuracy / confusion: 94.50% / [[346, 12, 1], [17, 245, 3], [8, 3, 165]], * Val accuracy / confusion: 55.58% / [[151, 44, 35], [53, 89, 33], [30, 36, 49]] ------------------------------ Epoch 704 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.037036 - Iter 024 / 025, Loss: 0.420678 * Train accuracy / confusion: 94.75% / [[336, 17, 3], [10, 251, 6], [3, 3, 171]], * Val accuracy / confusion: 58.27% / [[150, 47, 33], [55, 95, 25], [24, 33, 58]] ------------------------------ Epoch 705 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.159765 - Iter 024 / 025, Loss: 0.103847 * Train accuracy / confusion: 93.38% / [[337, 15, 3], [19, 249, 4], [4, 8, 161]], * Val accuracy / confusion: 57.88% / [[160, 43, 27], [63, 83, 29], [30, 27, 58]] ------------------------------ Epoch 706 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.128547 - Iter 024 / 025, Loss: 0.208509 * Train accuracy / confusion: 94.25% / [[343, 11, 5], [14, 245, 7], [4, 5, 166]], * Val accuracy / confusion: 60.19% / [[156, 55, 19], [45, 106, 24], [26, 38, 51]] ------------------------------ Epoch 707 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.122734 - Iter 024 / 025, Loss: 0.126041 * Train accuracy / confusion: 93.88% / [[342, 10, 2], [19, 243, 8], [6, 4, 166]], * Val accuracy / confusion: 59.81% / [[150, 52, 28], [51, 98, 26], [24, 28, 63]] ------------------------------ Epoch 708 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.171355 - Iter 024 / 025, Loss: 0.253190 * Train accuracy / confusion: 93.62% / [[337, 18, 1], [14, 242, 7], [1, 10, 170]], * Val accuracy / confusion: 56.15% / [[149, 54, 27], [53, 97, 25], [24, 45, 46]] ------------------------------ Epoch 709 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.123804 - Iter 024 / 025, Loss: 0.097918 * Train accuracy / confusion: 94.00% / [[346, 8, 3], [23, 239, 4], [5, 5, 167]], * Val accuracy / confusion: 57.88% / [[152, 54, 24], [56, 93, 26], [19, 40, 56]] ------------------------------ Epoch 710 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.076008 - Iter 024 / 025, Loss: 0.131681 * Train accuracy / confusion: 96.50% / [[345, 4, 2], [7, 260, 6], [4, 5, 167]], * Val accuracy / confusion: 58.65% / [[152, 46, 32], [54, 96, 25], [29, 29, 57]] ------------------------------ Epoch 711 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.200783 - Iter 024 / 025, Loss: 0.079030 * Train accuracy / confusion: 93.00% / [[339, 13, 6], [15, 244, 8], [5, 9, 161]], * Val accuracy / confusion: 57.50% / [[148, 47, 35], [42, 97, 36], [26, 35, 54]] ------------------------------ Epoch 712 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.255492 - Iter 024 / 025, Loss: 0.204244 * Train accuracy / confusion: 94.62% / [[339, 11, 5], [15, 251, 4], [3, 5, 167]], * Val accuracy / confusion: 58.46% / [[159, 41, 30], [60, 92, 23], [30, 32, 53]] ------------------------------ Epoch 713 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.189636 - Iter 024 / 025, Loss: 0.182863 * Train accuracy / confusion: 94.50% / [[337, 10, 7], [13, 252, 4], [5, 5, 167]], * Val accuracy / confusion: 56.73% / [[152, 61, 17], [58, 97, 20], [23, 46, 46]] ------------------------------ Epoch 714 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.121512 - Iter 024 / 025, Loss: 0.280111 * Train accuracy / confusion: 94.62% / [[347, 10, 2], [16, 242, 7], [3, 5, 168]], * Val accuracy / confusion: 58.65% / [[151, 53, 26], [52, 96, 27], [24, 33, 58]] ------------------------------ Epoch 715 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.207761 - Iter 024 / 025, Loss: 0.290412 * Train accuracy / confusion: 93.25% / [[334, 16, 5], [16, 247, 7], [4, 6, 165]], * Val accuracy / confusion: 57.12% / [[151, 50, 29], [52, 89, 34], [28, 30, 57]] ------------------------------ Epoch 716 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.096399 - Iter 024 / 025, Loss: 0.109238 * Train accuracy / confusion: 94.50% / [[337, 9, 6], [15, 248, 7], [5, 2, 171]], * Val accuracy / confusion: 60.19% / [[160, 44, 26], [42, 98, 35], [24, 36, 55]] ------------------------------ Epoch 717 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.134440 - Iter 024 / 025, Loss: 0.142998 * Train accuracy / confusion: 94.62% / [[345, 8, 2], [15, 252, 3], [6, 9, 160]], * Val accuracy / confusion: 58.85% / [[159, 43, 28], [54, 85, 36], [24, 29, 62]] ------------------------------ Epoch 718 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.125892 - Iter 024 / 025, Loss: 0.123647 * Train accuracy / confusion: 93.00% / [[330, 25, 3], [17, 245, 5], [4, 2, 169]], * Val accuracy / confusion: 57.88% / [[146, 60, 24], [49, 101, 25], [20, 41, 54]] ------------------------------ Epoch 719 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.107410 - Iter 024 / 025, Loss: 0.080352 * Train accuracy / confusion: 95.75% / [[345, 7, 3], [12, 250, 4], [5, 3, 171]], * Val accuracy / confusion: 58.08% / [[151, 51, 28], [50, 95, 30], [25, 34, 56]] ------------------------------ Epoch 720 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.297944 - Iter 024 / 025, Loss: 0.243591 * Train accuracy / confusion: 94.62% / [[342, 10, 4], [16, 244, 7], [4, 2, 171]], * Val accuracy / confusion: 57.88% / [[151, 58, 21], [52, 95, 28], [20, 40, 55]] ------------------------------ Epoch 721 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.126826 - Iter 024 / 025, Loss: 0.219277 * Train accuracy / confusion: 93.62% / [[338, 15, 3], [14, 250, 7], [7, 5, 161]], * Val accuracy / confusion: 57.88% / [[157, 50, 23], [57, 88, 30], [27, 32, 56]] ------------------------------ Epoch 722 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.087642 - Iter 024 / 025, Loss: 0.086966 * Train accuracy / confusion: 95.50% / [[340, 12, 2], [10, 253, 6], [2, 4, 171]], * Val accuracy / confusion: 58.08% / [[147, 55, 28], [41, 100, 34], [24, 36, 55]] ------------------------------ Epoch 723 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.155636 - Iter 024 / 025, Loss: 0.078197 * Train accuracy / confusion: 95.12% / [[335, 10, 5], [13, 256, 2], [3, 6, 170]], * Val accuracy / confusion: 59.23% / [[152, 53, 25], [56, 96, 23], [21, 34, 60]] ------------------------------ Epoch 724 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.135447 - Iter 024 / 025, Loss: 0.181107 * Train accuracy / confusion: 94.12% / [[341, 13, 1], [21, 244, 4], [3, 5, 168]], * Val accuracy / confusion: 59.42% / [[159, 48, 23], [52, 94, 29], [22, 37, 56]] ------------------------------ Epoch 725 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.083659 - Iter 024 / 025, Loss: 0.149833 * Train accuracy / confusion: 93.00% / [[335, 13, 6], [17, 248, 7], [5, 8, 161]], * Val accuracy / confusion: 59.23% / [[153, 60, 17], [50, 96, 29], [23, 33, 59]] ------------------------------ Epoch 726 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.085903 - Iter 024 / 025, Loss: 0.164906 * Train accuracy / confusion: 94.62% / [[346, 10, 2], [19, 243, 5], [3, 4, 168]], * Val accuracy / confusion: 57.88% / [[147, 53, 30], [53, 92, 30], [19, 34, 62]] ------------------------------ Epoch 727 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.113985 - Iter 024 / 025, Loss: 0.088939 * Train accuracy / confusion: 94.00% / [[340, 17, 3], [15, 249, 4], [2, 7, 163]], * Val accuracy / confusion: 58.65% / [[150, 46, 34], [48, 97, 30], [24, 33, 58]] ------------------------------ Epoch 728 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.113892 - Iter 024 / 025, Loss: 0.093486 * Train accuracy / confusion: 94.88% / [[340, 13, 3], [12, 249, 6], [2, 5, 170]], * Val accuracy / confusion: 60.77% / [[160, 47, 23], [51, 100, 24], [28, 31, 56]] ------------------------------ Epoch 729 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.141939 - Iter 024 / 025, Loss: 0.074241 * Train accuracy / confusion: 95.25% / [[344, 10, 5], [12, 248, 4], [3, 4, 170]], * Val accuracy / confusion: 55.77% / [[154, 45, 31], [53, 83, 39], [28, 34, 53]] ------------------------------ Epoch 730 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.443025 - Iter 024 / 025, Loss: 0.105399 * Train accuracy / confusion: 94.38% / [[342, 13, 3], [20, 241, 3], [3, 3, 172]], * Val accuracy / confusion: 59.04% / [[163, 40, 27], [48, 89, 38], [22, 38, 55]] ------------------------------ Epoch 731 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.189345 - Iter 024 / 025, Loss: 0.152574 * Train accuracy / confusion: 94.88% / [[335, 15, 5], [12, 253, 4], [2, 3, 171]], * Val accuracy / confusion: 59.04% / [[144, 60, 26], [41, 111, 23], [16, 47, 52]] ------------------------------ Epoch 732 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.075928 - Iter 024 / 025, Loss: 0.110198 * Train accuracy / confusion: 95.38% / [[346, 12, 2], [11, 248, 5], [3, 4, 169]], * Val accuracy / confusion: 61.73% / [[163, 45, 22], [46, 100, 29], [24, 33, 58]] ------------------------------ Epoch 733 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.149276 - Iter 024 / 025, Loss: 0.044900 * Train accuracy / confusion: 95.00% / [[341, 11, 1], [16, 250, 3], [2, 7, 169]], * Val accuracy / confusion: 60.96% / [[158, 47, 25], [56, 99, 20], [28, 27, 60]] ------------------------------ Epoch 734 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.063114 - Iter 024 / 025, Loss: 0.168160 * Train accuracy / confusion: 95.38% / [[341, 11, 3], [17, 249, 2], [2, 2, 173]], * Val accuracy / confusion: 57.69% / [[159, 49, 22], [45, 92, 38], [27, 39, 49]] ------------------------------ Epoch 735 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.076265 - Iter 024 / 025, Loss: 0.100103 * Train accuracy / confusion: 94.25% / [[333, 14, 8], [11, 250, 8], [1, 4, 171]], * Val accuracy / confusion: 60.00% / [[159, 43, 28], [43, 104, 28], [29, 37, 49]] ------------------------------ Epoch 736 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.108812 - Iter 024 / 025, Loss: 0.141430 * Train accuracy / confusion: 94.62% / [[344, 11, 1], [13, 249, 7], [4, 7, 164]], * Val accuracy / confusion: 56.35% / [[147, 56, 27], [47, 89, 39], [24, 34, 57]] ------------------------------ Epoch 737 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.255692 - Iter 024 / 025, Loss: 0.063228 * Train accuracy / confusion: 96.00% / [[349, 4, 2], [10, 251, 6], [1, 9, 168]], * Val accuracy / confusion: 57.12% / [[151, 52, 27], [46, 101, 28], [25, 45, 45]] ------------------------------ Epoch 738 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.168974 - Iter 024 / 025, Loss: 0.146105 * Train accuracy / confusion: 93.50% / [[334, 19, 3], [19, 242, 6], [0, 5, 172]], * Val accuracy / confusion: 56.54% / [[147, 57, 26], [60, 85, 30], [21, 32, 62]] ------------------------------ Epoch 739 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.335224 - Iter 024 / 025, Loss: 0.128113 * Train accuracy / confusion: 93.75% / [[343, 12, 3], [13, 241, 12], [4, 6, 166]], * Val accuracy / confusion: 55.96% / [[144, 64, 22], [55, 97, 23], [25, 40, 50]] ------------------------------ Epoch 740 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.086775 - Iter 024 / 025, Loss: 0.055625 * Train accuracy / confusion: 94.75% / [[342, 8, 5], [11, 253, 4], [8, 6, 163]], * Val accuracy / confusion: 61.54% / [[169, 39, 22], [53, 97, 25], [25, 36, 54]] ------------------------------ Epoch 741 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.074864 - Iter 024 / 025, Loss: 0.089507 * Train accuracy / confusion: 93.25% / [[336, 16, 2], [24, 245, 3], [4, 5, 165]], * Val accuracy / confusion: 57.12% / [[154, 42, 34], [57, 90, 28], [27, 35, 53]] ------------------------------ Epoch 742 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.115116 - Iter 024 / 025, Loss: 0.064103 * Train accuracy / confusion: 95.38% / [[344, 11, 3], [13, 246, 5], [3, 2, 173]], * Val accuracy / confusion: 55.38% / [[139, 64, 27], [45, 97, 33], [25, 38, 52]] ------------------------------ Epoch 743 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.163250 - Iter 024 / 025, Loss: 0.073560 * Train accuracy / confusion: 96.62% / [[349, 6, 4], [7, 258, 6], [0, 4, 166]], * Val accuracy / confusion: 54.81% / [[151, 48, 31], [60, 83, 32], [24, 40, 51]] ------------------------------ Epoch 744 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.074041 - Iter 024 / 025, Loss: 0.131625 * Train accuracy / confusion: 95.50% / [[346, 9, 4], [5, 255, 6], [3, 9, 163]], * Val accuracy / confusion: 61.15% / [[158, 47, 25], [45, 97, 33], [21, 31, 63]] ------------------------------ Epoch 745 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.149181 - Iter 024 / 025, Loss: 0.120100 * Train accuracy / confusion: 95.50% / [[344, 11, 3], [12, 247, 4], [2, 4, 173]], * Val accuracy / confusion: 59.04% / [[155, 48, 27], [49, 100, 26], [30, 33, 52]] ------------------------------ Epoch 746 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.076132 - Iter 024 / 025, Loss: 0.050510 * Train accuracy / confusion: 94.75% / [[343, 11, 6], [19, 243, 1], [2, 3, 172]], * Val accuracy / confusion: 55.96% / [[150, 44, 36], [54, 85, 36], [24, 35, 56]] ------------------------------ Epoch 747 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.190768 - Iter 024 / 025, Loss: 0.067566 * Train accuracy / confusion: 95.38% / [[338, 13, 2], [15, 251, 3], [2, 2, 174]], * Val accuracy / confusion: 58.85% / [[156, 48, 26], [53, 95, 27], [26, 34, 55]] ------------------------------ Epoch 748 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.084734 - Iter 024 / 025, Loss: 0.029539 * Train accuracy / confusion: 94.38% / [[344, 11, 4], [11, 247, 8], [3, 8, 164]], * Val accuracy / confusion: 58.65% / [[152, 50, 28], [43, 100, 32], [24, 38, 53]] ------------------------------ Epoch 749 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.120953 - Iter 024 / 025, Loss: 0.036983 * Train accuracy / confusion: 95.00% / [[335, 11, 5], [13, 250, 5], [2, 4, 175]], * Val accuracy / confusion: 58.27% / [[158, 40, 32], [55, 85, 35], [23, 32, 60]] ------------------------------ Epoch 750 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.116347 - Iter 024 / 025, Loss: 0.180655 * Train accuracy / confusion: 95.62% / [[343, 9, 2], [11, 254, 5], [4, 4, 168]], * Val accuracy / confusion: 60.58% / [[157, 48, 25], [43, 105, 27], [23, 39, 53]] ------------------------------ Epoch 751 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.110742 - Iter 024 / 025, Loss: 0.287913 * Train accuracy / confusion: 95.50% / [[351, 6, 5], [12, 247, 4], [5, 4, 166]], * Val accuracy / confusion: 59.42% / [[163, 44, 23], [59, 92, 24], [28, 33, 54]] ------------------------------ Epoch 752 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.125598 - Iter 024 / 025, Loss: 0.114733 * Train accuracy / confusion: 95.25% / [[350, 8, 1], [12, 248, 7], [4, 6, 164]], * Val accuracy / confusion: 56.54% / [[144, 62, 24], [52, 97, 26], [28, 34, 53]] ------------------------------ Epoch 753 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.039111 - Iter 024 / 025, Loss: 0.155593 * Train accuracy / confusion: 94.62% / [[336, 12, 6], [14, 249, 5], [3, 3, 172]], * Val accuracy / confusion: 59.81% / [[158, 49, 23], [51, 106, 18], [35, 33, 47]] ------------------------------ Epoch 754 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.139512 - Iter 024 / 025, Loss: 0.170981 * Train accuracy / confusion: 94.62% / [[339, 11, 4], [15, 250, 5], [3, 5, 168]], * Val accuracy / confusion: 58.08% / [[158, 46, 26], [49, 92, 34], [29, 34, 52]] ------------------------------ Epoch 755 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.188591 - Iter 024 / 025, Loss: 0.111278 * Train accuracy / confusion: 95.38% / [[344, 12, 4], [8, 252, 6], [4, 3, 167]], * Val accuracy / confusion: 57.12% / [[148, 53, 29], [54, 97, 24], [25, 38, 52]] ------------------------------ Epoch 756 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.143756 - Iter 024 / 025, Loss: 0.024276 * Train accuracy / confusion: 94.50% / [[340, 15, 4], [17, 248, 4], [1, 3, 168]], * Val accuracy / confusion: 60.77% / [[162, 42, 26], [50, 103, 22], [27, 37, 51]] ------------------------------ Epoch 757 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.270298 - Iter 024 / 025, Loss: 0.307024 * Train accuracy / confusion: 95.38% / [[343, 8, 3], [16, 250, 5], [2, 3, 170]], * Val accuracy / confusion: 57.88% / [[160, 47, 23], [62, 86, 27], [31, 29, 55]] ------------------------------ Epoch 758 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.172678 - Iter 024 / 025, Loss: 0.174606 * Train accuracy / confusion: 95.38% / [[343, 12, 3], [14, 252, 2], [3, 3, 168]], * Val accuracy / confusion: 58.08% / [[157, 49, 24], [50, 92, 33], [31, 31, 53]] ------------------------------ Epoch 759 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.148862 - Iter 024 / 025, Loss: 0.230613 * Train accuracy / confusion: 93.75% / [[330, 15, 5], [16, 252, 3], [6, 5, 168]], * Val accuracy / confusion: 59.23% / [[157, 41, 32], [57, 100, 18], [26, 38, 51]] ------------------------------ Epoch 760 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.142102 - Iter 024 / 025, Loss: 0.047286 * Train accuracy / confusion: 94.00% / [[341, 12, 2], [18, 237, 11], [4, 1, 174]], * Val accuracy / confusion: 58.46% / [[160, 48, 22], [47, 99, 29], [24, 46, 45]] ------------------------------ Epoch 761 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.096234 - Iter 024 / 025, Loss: 0.025214 * Train accuracy / confusion: 94.38% / [[340, 9, 3], [16, 248, 7], [4, 6, 167]], * Val accuracy / confusion: 60.38% / [[154, 47, 29], [47, 105, 23], [22, 38, 55]] ------------------------------ Epoch 762 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.045078 - Iter 024 / 025, Loss: 0.047878 * Train accuracy / confusion: 95.00% / [[347, 10, 5], [13, 249, 5], [4, 3, 164]], * Val accuracy / confusion: 55.96% / [[155, 52, 23], [50, 86, 39], [25, 40, 50]] ------------------------------ Epoch 763 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.060233 - Iter 024 / 025, Loss: 0.117789 * Train accuracy / confusion: 95.38% / [[337, 14, 2], [10, 258, 2], [5, 4, 168]], * Val accuracy / confusion: 56.54% / [[151, 54, 25], [49, 95, 31], [30, 37, 48]] ------------------------------ Epoch 764 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.059268 - Iter 024 / 025, Loss: 0.098373 * Train accuracy / confusion: 94.75% / [[343, 13, 1], [12, 249, 4], [5, 7, 166]], * Val accuracy / confusion: 59.62% / [[159, 46, 25], [50, 96, 29], [24, 36, 55]] ------------------------------ Epoch 765 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.065895 - Iter 024 / 025, Loss: 0.088886 * Train accuracy / confusion: 95.00% / [[341, 7, 5], [14, 251, 4], [6, 4, 168]], * Val accuracy / confusion: 60.00% / [[165, 47, 18], [53, 100, 22], [30, 38, 47]] ------------------------------ Epoch 766 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.055778 - Iter 024 / 025, Loss: 0.389729 * Train accuracy / confusion: 95.00% / [[342, 14, 3], [15, 248, 3], [1, 4, 170]], * Val accuracy / confusion: 57.50% / [[145, 56, 29], [45, 101, 29], [27, 35, 53]] ------------------------------ Epoch 767 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.205100 - Iter 024 / 025, Loss: 0.081498 * Train accuracy / confusion: 95.75% / [[341, 11, 1], [10, 255, 5], [5, 2, 170]], * Val accuracy / confusion: 59.04% / [[162, 38, 30], [59, 88, 28], [22, 36, 57]] ------------------------------ Epoch 768 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.048657 - Iter 024 / 025, Loss: 0.154465 * Train accuracy / confusion: 95.88% / [[348, 9, 0], [7, 258, 5], [3, 9, 161]], * Val accuracy / confusion: 55.77% / [[151, 54, 25], [61, 91, 23], [27, 40, 48]] ------------------------------ Epoch 769 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.099561 - Iter 024 / 025, Loss: 0.152480 * Train accuracy / confusion: 95.75% / [[351, 6, 2], [10, 249, 6], [3, 7, 166]], * Val accuracy / confusion: 57.31% / [[144, 49, 37], [44, 99, 32], [27, 33, 55]] ------------------------------ Epoch 770 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.131540 - Iter 024 / 025, Loss: 0.072938 * Train accuracy / confusion: 96.38% / [[350, 7, 0], [6, 254, 7], [0, 9, 167]], * Val accuracy / confusion: 60.77% / [[161, 44, 25], [51, 99, 25], [26, 33, 56]] ------------------------------ Epoch 771 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.352557 - Iter 024 / 025, Loss: 0.144687 * Train accuracy / confusion: 95.12% / [[341, 9, 5], [12, 250, 4], [2, 7, 170]], * Val accuracy / confusion: 60.00% / [[161, 46, 23], [51, 89, 35], [24, 29, 62]] ------------------------------ Epoch 772 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.118200 - Iter 024 / 025, Loss: 0.051282 * Train accuracy / confusion: 95.25% / [[343, 6, 4], [14, 251, 5], [5, 4, 168]], * Val accuracy / confusion: 58.46% / [[142, 49, 39], [35, 104, 36], [21, 36, 58]] ------------------------------ Epoch 773 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.146302 - Iter 024 / 025, Loss: 0.105285 * Train accuracy / confusion: 95.75% / [[346, 8, 0], [11, 247, 7], [2, 6, 173]], * Val accuracy / confusion: 58.46% / [[164, 38, 28], [67, 85, 23], [30, 30, 55]] ------------------------------ Epoch 774 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.188800 - Iter 024 / 025, Loss: 0.069958 * Train accuracy / confusion: 95.38% / [[346, 9, 4], [10, 251, 5], [4, 5, 166]], * Val accuracy / confusion: 58.46% / [[160, 38, 32], [51, 95, 29], [28, 38, 49]] ------------------------------ Epoch 775 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.206757 - Iter 024 / 025, Loss: 0.103759 * Train accuracy / confusion: 95.62% / [[343, 8, 3], [12, 254, 6], [4, 2, 168]], * Val accuracy / confusion: 59.81% / [[162, 39, 29], [52, 90, 33], [27, 29, 59]] ------------------------------ Epoch 776 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.050140 - Iter 024 / 025, Loss: 0.106021 * Train accuracy / confusion: 95.75% / [[349, 9, 0], [14, 249, 3], [2, 6, 168]], * Val accuracy / confusion: 59.23% / [[158, 46, 26], [50, 93, 32], [24, 34, 57]] ------------------------------ Epoch 777 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.095985 - Iter 024 / 025, Loss: 0.107995 * Train accuracy / confusion: 95.12% / [[340, 9, 6], [14, 252, 3], [1, 6, 169]], * Val accuracy / confusion: 58.08% / [[143, 56, 31], [41, 102, 32], [32, 26, 57]] ------------------------------ Epoch 778 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.046478 - Iter 024 / 025, Loss: 0.082190 * Train accuracy / confusion: 96.25% / [[347, 6, 3], [8, 257, 4], [2, 7, 166]], * Val accuracy / confusion: 59.62% / [[154, 48, 28], [39, 101, 35], [25, 35, 55]] ------------------------------ Epoch 779 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.089305 - Iter 024 / 025, Loss: 0.092284 * Train accuracy / confusion: 95.38% / [[339, 10, 2], [11, 253, 6], [3, 5, 171]], * Val accuracy / confusion: 59.42% / [[157, 49, 24], [46, 104, 25], [30, 37, 48]] ------------------------------ Epoch 780 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.113351 - Iter 024 / 025, Loss: 0.171879 * Train accuracy / confusion: 95.00% / [[344, 11, 4], [11, 246, 5], [5, 4, 170]], * Val accuracy / confusion: 58.85% / [[155, 48, 27], [55, 92, 28], [22, 34, 59]] ------------------------------ Epoch 781 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.092221 - Iter 024 / 025, Loss: 0.048444 * Train accuracy / confusion: 95.38% / [[336, 14, 4], [8, 255, 2], [5, 4, 172]], * Val accuracy / confusion: 60.77% / [[149, 51, 30], [40, 103, 32], [19, 32, 64]] ------------------------------ Epoch 782 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.053190 - Iter 024 / 025, Loss: 0.105056 * Train accuracy / confusion: 94.25% / [[345, 13, 2], [18, 242, 6], [2, 5, 167]], * Val accuracy / confusion: 59.62% / [[158, 47, 25], [47, 103, 25], [27, 39, 49]] ------------------------------ Epoch 783 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.107285 - Iter 024 / 025, Loss: 0.112935 * Train accuracy / confusion: 95.25% / [[338, 15, 3], [11, 254, 3], [3, 3, 170]], * Val accuracy / confusion: 57.88% / [[157, 45, 28], [52, 88, 35], [28, 31, 56]] ------------------------------ Epoch 784 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.124309 - Iter 024 / 025, Loss: 0.100188 * Train accuracy / confusion: 94.25% / [[342, 12, 3], [19, 249, 2], [4, 6, 163]], * Val accuracy / confusion: 58.65% / [[155, 56, 19], [61, 99, 15], [26, 38, 51]] ------------------------------ Epoch 785 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.206887 - Iter 024 / 025, Loss: 0.102862 * Train accuracy / confusion: 95.38% / [[343, 8, 4], [14, 251, 6], [2, 3, 169]], * Val accuracy / confusion: 56.92% / [[152, 52, 26], [54, 97, 24], [35, 33, 47]] ------------------------------ Epoch 786 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.049751 - Iter 024 / 025, Loss: 0.047235 * Train accuracy / confusion: 95.25% / [[345, 10, 1], [14, 249, 5], [5, 3, 168]], * Val accuracy / confusion: 59.04% / [[161, 41, 28], [64, 84, 27], [25, 28, 62]] ------------------------------ Epoch 787 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.066840 - Iter 024 / 025, Loss: 0.288060 * Train accuracy / confusion: 94.62% / [[343, 10, 3], [13, 247, 8], [3, 6, 167]], * Val accuracy / confusion: 60.38% / [[155, 44, 31], [52, 96, 27], [25, 27, 63]] ------------------------------ Epoch 788 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.315332 - Iter 024 / 025, Loss: 0.093919 * Train accuracy / confusion: 94.38% / [[341, 12, 3], [15, 249, 4], [4, 7, 165]], * Val accuracy / confusion: 60.77% / [[154, 52, 24], [51, 104, 20], [16, 41, 58]] ------------------------------ Epoch 789 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.196668 - Iter 024 / 025, Loss: 0.115222 * Train accuracy / confusion: 95.38% / [[347, 13, 2], [9, 249, 4], [4, 5, 167]], * Val accuracy / confusion: 59.23% / [[149, 53, 28], [49, 103, 23], [23, 36, 56]] ------------------------------ Epoch 790 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.111133 - Iter 024 / 025, Loss: 0.059150 * Train accuracy / confusion: 96.25% / [[340, 10, 1], [12, 255, 4], [2, 1, 175]], * Val accuracy / confusion: 58.46% / [[154, 52, 24], [53, 93, 29], [27, 31, 57]] ------------------------------ Epoch 791 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.165793 - Iter 024 / 025, Loss: 0.087053 * Train accuracy / confusion: 95.25% / [[342, 10, 5], [13, 251, 5], [2, 3, 169]], * Val accuracy / confusion: 60.96% / [[154, 48, 28], [41, 102, 32], [26, 28, 61]] ------------------------------ Epoch 792 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.096341 - Iter 024 / 025, Loss: 0.276302 * Train accuracy / confusion: 95.38% / [[345, 8, 3], [14, 251, 4], [3, 5, 167]], * Val accuracy / confusion: 57.31% / [[152, 54, 24], [53, 89, 33], [26, 32, 57]] ------------------------------ Epoch 793 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.086432 - Iter 024 / 025, Loss: 0.200179 * Train accuracy / confusion: 94.25% / [[341, 13, 3], [14, 246, 8], [0, 8, 167]], * Val accuracy / confusion: 58.85% / [[153, 49, 28], [50, 97, 28], [26, 33, 56]] ------------------------------ Epoch 794 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.036953 - Iter 024 / 025, Loss: 0.156802 * Train accuracy / confusion: 95.88% / [[350, 10, 0], [10, 251, 6], [3, 4, 166]], * Val accuracy / confusion: 59.81% / [[154, 51, 25], [53, 101, 21], [24, 35, 56]] ------------------------------ Epoch 795 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.384857 - Iter 024 / 025, Loss: 0.569559 * Train accuracy / confusion: 94.88% / [[342, 10, 5], [15, 249, 5], [4, 2, 168]], * Val accuracy / confusion: 56.92% / [[141, 62, 27], [51, 102, 22], [26, 36, 53]] ------------------------------ Epoch 796 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.080583 - Iter 024 / 025, Loss: 0.288914 * Train accuracy / confusion: 95.00% / [[340, 11, 5], [12, 254, 5], [2, 5, 166]], * Val accuracy / confusion: 60.77% / [[145, 58, 27], [36, 111, 28], [21, 34, 60]] ------------------------------ Epoch 797 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.142637 - Iter 024 / 025, Loss: 0.151984 * Train accuracy / confusion: 95.62% / [[341, 9, 4], [12, 251, 6], [2, 2, 173]], * Val accuracy / confusion: 59.23% / [[152, 51, 27], [46, 102, 27], [20, 41, 54]] ------------------------------ Epoch 798 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.068711 - Iter 024 / 025, Loss: 0.073692 * Train accuracy / confusion: 95.25% / [[346, 11, 2], [18, 249, 1], [2, 4, 167]], * Val accuracy / confusion: 55.77% / [[136, 55, 39], [46, 96, 33], [20, 37, 58]] ------------------------------ Epoch 799 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.257945 - Iter 024 / 025, Loss: 0.170437 * Train accuracy / confusion: 94.38% / [[336, 12, 6], [14, 245, 8], [2, 3, 174]], * Val accuracy / confusion: 56.73% / [[153, 46, 31], [52, 87, 36], [25, 35, 55]] ------------------------------ Epoch 800 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.040134 - Iter 024 / 025, Loss: 0.119383 * Train accuracy / confusion: 95.38% / [[343, 10, 4], [13, 255, 3], [1, 6, 165]], * Val accuracy / confusion: 59.04% / [[145, 60, 25], [46, 112, 17], [20, 45, 50]] ------------------------------ Epoch 801 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.185044 - Iter 024 / 025, Loss: 0.162777 * Train accuracy / confusion: 95.88% / [[338, 14, 3], [9, 260, 3], [2, 2, 169]], * Val accuracy / confusion: 59.62% / [[159, 43, 28], [55, 95, 25], [25, 34, 56]] ------------------------------ Epoch 802 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.182825 - Iter 024 / 025, Loss: 0.078924 * Train accuracy / confusion: 95.88% / [[338, 14, 3], [11, 255, 1], [1, 3, 174]], * Val accuracy / confusion: 54.42% / [[137, 66, 27], [44, 99, 32], [21, 47, 47]] ------------------------------ Epoch 803 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.079847 - Iter 024 / 025, Loss: 0.255747 * Train accuracy / confusion: 95.25% / [[344, 10, 3], [15, 249, 4], [3, 3, 169]], * Val accuracy / confusion: 61.15% / [[160, 45, 25], [48, 105, 22], [29, 33, 53]] ------------------------------ Epoch 804 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.359573 - Iter 024 / 025, Loss: 0.222321 * Train accuracy / confusion: 94.12% / [[339, 9, 6], [14, 248, 6], [3, 9, 166]], * Val accuracy / confusion: 60.00% / [[158, 45, 27], [48, 105, 22], [31, 35, 49]] ------------------------------ Epoch 805 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.071977 - Iter 024 / 025, Loss: 0.232960 * Train accuracy / confusion: 93.50% / [[338, 14, 6], [10, 247, 8], [5, 9, 163]], * Val accuracy / confusion: 59.62% / [[152, 54, 24], [44, 108, 23], [28, 37, 50]] ------------------------------ Epoch 806 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.110619 - Iter 024 / 025, Loss: 0.150663 * Train accuracy / confusion: 94.75% / [[345, 12, 0], [19, 247, 2], [4, 5, 166]], * Val accuracy / confusion: 58.65% / [[145, 56, 29], [48, 94, 33], [17, 32, 66]] ------------------------------ Epoch 807 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.209392 - Iter 024 / 025, Loss: 0.123970 * Train accuracy / confusion: 95.00% / [[340, 9, 5], [14, 251, 4], [4, 4, 169]], * Val accuracy / confusion: 57.50% / [[150, 50, 30], [47, 97, 31], [17, 46, 52]] ------------------------------ Epoch 808 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.078046 - Iter 024 / 025, Loss: 0.104847 * Train accuracy / confusion: 96.25% / [[347, 10, 3], [9, 254, 3], [1, 4, 169]], * Val accuracy / confusion: 59.23% / [[149, 53, 28], [51, 100, 24], [22, 34, 59]] ------------------------------ Epoch 809 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.150821 - Iter 024 / 025, Loss: 0.191806 * Train accuracy / confusion: 95.62% / [[349, 5, 3], [16, 248, 5], [3, 3, 168]], * Val accuracy / confusion: 57.31% / [[151, 46, 33], [54, 92, 29], [24, 36, 55]] ------------------------------ Epoch 810 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.118057 - Iter 024 / 025, Loss: 0.101690 * Train accuracy / confusion: 95.88% / [[346, 8, 0], [9, 255, 7], [3, 6, 166]], * Val accuracy / confusion: 58.27% / [[152, 48, 30], [48, 96, 31], [20, 40, 55]] ------------------------------ Epoch 811 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.145516 - Iter 024 / 025, Loss: 0.103153 * Train accuracy / confusion: 94.25% / [[343, 13, 1], [12, 245, 6], [8, 6, 166]], * Val accuracy / confusion: 59.04% / [[158, 55, 17], [56, 101, 18], [35, 32, 48]] ------------------------------ Epoch 812 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.112698 - Iter 024 / 025, Loss: 0.110625 * Train accuracy / confusion: 94.75% / [[342, 16, 2], [13, 251, 6], [4, 1, 165]], * Val accuracy / confusion: 57.69% / [[144, 50, 36], [36, 107, 32], [23, 43, 49]] ------------------------------ Epoch 813 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.162619 - Iter 024 / 025, Loss: 0.182500 * Train accuracy / confusion: 94.62% / [[339, 9, 4], [18, 245, 5], [1, 6, 173]], * Val accuracy / confusion: 59.23% / [[155, 47, 28], [40, 103, 32], [31, 34, 50]] ------------------------------ Epoch 814 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.128299 - Iter 024 / 025, Loss: 0.111437 * Train accuracy / confusion: 96.38% / [[344, 7, 2], [6, 255, 8], [3, 3, 172]], * Val accuracy / confusion: 60.00% / [[158, 47, 25], [50, 97, 28], [25, 33, 57]] ------------------------------ Epoch 815 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.056760 - Iter 024 / 025, Loss: 0.039541 * Train accuracy / confusion: 95.88% / [[347, 7, 2], [12, 252, 4], [5, 3, 168]], * Val accuracy / confusion: 59.42% / [[160, 49, 21], [54, 95, 26], [28, 33, 54]] ------------------------------ Epoch 816 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.107209 - Iter 024 / 025, Loss: 0.057015 * Train accuracy / confusion: 95.88% / [[343, 8, 4], [9, 255, 6], [2, 4, 169]], * Val accuracy / confusion: 57.88% / [[158, 47, 25], [51, 96, 28], [29, 39, 47]] ------------------------------ Epoch 817 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.132142 - Iter 024 / 025, Loss: 0.136712 * Train accuracy / confusion: 95.38% / [[346, 10, 4], [16, 246, 3], [3, 1, 171]], * Val accuracy / confusion: 59.04% / [[149, 55, 26], [45, 106, 24], [20, 43, 52]] ------------------------------ Epoch 818 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.179852 - Iter 024 / 025, Loss: 0.202559 * Train accuracy / confusion: 97.00% / [[348, 6, 2], [5, 263, 3], [5, 3, 165]], * Val accuracy / confusion: 57.88% / [[150, 61, 19], [50, 99, 26], [22, 41, 52]] ------------------------------ Epoch 819 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.179533 - Iter 024 / 025, Loss: 0.093140 * Train accuracy / confusion: 95.12% / [[341, 13, 5], [12, 248, 4], [1, 4, 172]], * Val accuracy / confusion: 58.65% / [[148, 63, 19], [49, 107, 19], [28, 37, 50]] ------------------------------ Epoch 820 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.151636 - Iter 024 / 025, Loss: 0.043924 * Train accuracy / confusion: 96.62% / [[348, 5, 3], [9, 258, 3], [2, 5, 167]], * Val accuracy / confusion: 58.46% / [[155, 55, 20], [50, 92, 33], [21, 37, 57]] ------------------------------ Epoch 821 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.211003 - Iter 024 / 025, Loss: 0.123943 * Train accuracy / confusion: 95.50% / [[339, 14, 5], [12, 250, 2], [1, 2, 175]], * Val accuracy / confusion: 57.12% / [[150, 51, 29], [53, 98, 24], [27, 39, 49]] ------------------------------ Epoch 822 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.149467 - Iter 024 / 025, Loss: 0.079996 * Train accuracy / confusion: 96.00% / [[346, 7, 4], [13, 251, 2], [3, 3, 171]], * Val accuracy / confusion: 59.04% / [[157, 48, 25], [52, 96, 27], [28, 33, 54]] ------------------------------ Epoch 823 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.097239 - Iter 024 / 025, Loss: 0.019201 * Train accuracy / confusion: 95.38% / [[345, 7, 3], [14, 253, 2], [7, 4, 165]], * Val accuracy / confusion: 56.54% / [[152, 50, 28], [62, 81, 32], [27, 27, 61]] ------------------------------ Epoch 824 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.086821 - Iter 024 / 025, Loss: 0.280637 * Train accuracy / confusion: 95.00% / [[338, 15, 3], [12, 249, 6], [2, 2, 173]], * Val accuracy / confusion: 60.58% / [[155, 51, 24], [48, 99, 28], [26, 28, 61]] ------------------------------ Epoch 825 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.202862 - Iter 024 / 025, Loss: 0.112373 * Train accuracy / confusion: 96.25% / [[345, 10, 1], [10, 255, 4], [5, 0, 170]], * Val accuracy / confusion: 59.81% / [[163, 33, 34], [48, 90, 37], [23, 34, 58]] ------------------------------ Epoch 826 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.067103 - Iter 024 / 025, Loss: 0.109594 * Train accuracy / confusion: 96.75% / [[347, 7, 2], [10, 254, 3], [3, 1, 173]], * Val accuracy / confusion: 59.62% / [[159, 49, 22], [53, 95, 27], [24, 35, 56]] ------------------------------ Epoch 827 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.049447 - Iter 024 / 025, Loss: 0.092471 * Train accuracy / confusion: 95.38% / [[345, 8, 0], [15, 249, 3], [5, 6, 169]], * Val accuracy / confusion: 59.62% / [[157, 55, 18], [49, 101, 25], [29, 34, 52]] ------------------------------ Epoch 828 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.100878 - Iter 024 / 025, Loss: 0.178302 * Train accuracy / confusion: 95.62% / [[344, 8, 3], [17, 250, 1], [2, 4, 171]], * Val accuracy / confusion: 59.04% / [[153, 53, 24], [52, 95, 28], [24, 32, 59]] ------------------------------ Epoch 829 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.145907 - Iter 024 / 025, Loss: 0.068382 * Train accuracy / confusion: 95.50% / [[345, 11, 6], [11, 246, 5], [1, 2, 173]], * Val accuracy / confusion: 59.23% / [[158, 49, 23], [54, 100, 21], [29, 36, 50]] ------------------------------ Epoch 830 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.119510 - Iter 024 / 025, Loss: 0.126402 * Train accuracy / confusion: 95.88% / [[342, 11, 2], [11, 251, 4], [4, 1, 174]], * Val accuracy / confusion: 59.62% / [[155, 50, 25], [56, 99, 20], [28, 31, 56]] ------------------------------ Epoch 831 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.099611 - Iter 024 / 025, Loss: 0.093202 * Train accuracy / confusion: 95.50% / [[343, 11, 2], [10, 249, 5], [3, 5, 172]], * Val accuracy / confusion: 59.81% / [[156, 50, 24], [49, 94, 32], [19, 35, 61]] ------------------------------ Epoch 832 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.106837 - Iter 024 / 025, Loss: 0.138300 * Train accuracy / confusion: 95.00% / [[338, 10, 5], [14, 251, 4], [5, 2, 171]], * Val accuracy / confusion: 57.88% / [[157, 52, 21], [57, 89, 29], [32, 28, 55]] ------------------------------ Epoch 833 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.110524 - Iter 024 / 025, Loss: 0.144142 * Train accuracy / confusion: 97.00% / [[346, 6, 0], [9, 258, 4], [2, 3, 172]], * Val accuracy / confusion: 60.38% / [[159, 57, 14], [55, 101, 19], [26, 35, 54]] ------------------------------ Epoch 834 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.107839 - Iter 024 / 025, Loss: 0.077958 * Train accuracy / confusion: 95.00% / [[346, 9, 1], [15, 247, 10], [2, 3, 167]], * Val accuracy / confusion: 58.27% / [[156, 48, 26], [57, 94, 24], [26, 36, 53]] ------------------------------ Epoch 835 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.124543 - Iter 024 / 025, Loss: 0.101386 * Train accuracy / confusion: 96.50% / [[346, 8, 2], [6, 256, 5], [3, 4, 170]], * Val accuracy / confusion: 58.27% / [[160, 47, 23], [63, 91, 21], [30, 33, 52]] ------------------------------ Epoch 836 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.063716 - Iter 024 / 025, Loss: 0.115395 * Train accuracy / confusion: 95.75% / [[345, 12, 0], [12, 253, 5], [0, 5, 168]], * Val accuracy / confusion: 57.12% / [[146, 61, 23], [49, 93, 33], [17, 40, 58]] ------------------------------ Epoch 837 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.025787 - Iter 024 / 025, Loss: 0.188495 * Train accuracy / confusion: 94.62% / [[347, 10, 4], [12, 253, 4], [9, 4, 157]], * Val accuracy / confusion: 59.23% / [[149, 57, 24], [55, 100, 20], [20, 36, 59]] ------------------------------ Epoch 838 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.022172 - Iter 024 / 025, Loss: 0.137766 * Train accuracy / confusion: 95.12% / [[343, 10, 2], [16, 247, 5], [1, 5, 171]], * Val accuracy / confusion: 56.54% / [[153, 48, 29], [57, 90, 28], [32, 32, 51]] ------------------------------ Epoch 839 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.205526 - Iter 024 / 025, Loss: 0.269781 * Train accuracy / confusion: 95.88% / [[347, 10, 1], [13, 249, 4], [3, 2, 171]], * Val accuracy / confusion: 59.04% / [[156, 47, 27], [49, 94, 32], [27, 31, 57]] ------------------------------ Epoch 840 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.135625 - Iter 024 / 025, Loss: 0.143376 * Train accuracy / confusion: 94.62% / [[337, 15, 1], [13, 257, 4], [5, 5, 163]], * Val accuracy / confusion: 60.00% / [[166, 43, 21], [66, 87, 22], [26, 30, 59]] ------------------------------ Epoch 841 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.194154 - Iter 024 / 025, Loss: 0.020608 * Train accuracy / confusion: 96.25% / [[347, 7, 2], [8, 258, 4], [2, 7, 165]], * Val accuracy / confusion: 56.92% / [[137, 53, 40], [43, 102, 30], [20, 38, 57]] ------------------------------ Epoch 842 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.062903 - Iter 024 / 025, Loss: 0.070984 * Train accuracy / confusion: 96.25% / [[346, 7, 3], [14, 251, 3], [1, 2, 173]], * Val accuracy / confusion: 57.88% / [[143, 55, 32], [42, 102, 31], [21, 38, 56]] ------------------------------ Epoch 843 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.029226 - Iter 024 / 025, Loss: 0.048661 * Train accuracy / confusion: 96.38% / [[344, 5, 3], [7, 255, 8], [2, 4, 172]], * Val accuracy / confusion: 57.31% / [[149, 46, 35], [49, 91, 35], [28, 29, 58]] ------------------------------ Epoch 844 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.135442 - Iter 024 / 025, Loss: 0.084438 * Train accuracy / confusion: 97.00% / [[345, 5, 2], [4, 258, 9], [3, 1, 173]], * Val accuracy / confusion: 59.23% / [[164, 41, 25], [58, 91, 26], [23, 39, 53]] ------------------------------ Epoch 845 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.075349 - Iter 024 / 025, Loss: 0.143348 * Train accuracy / confusion: 96.25% / [[344, 6, 2], [9, 258, 4], [2, 7, 168]], * Val accuracy / confusion: 56.54% / [[154, 55, 21], [62, 91, 22], [34, 32, 49]] ------------------------------ Epoch 846 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.029646 - Iter 024 / 025, Loss: 0.071108 * Train accuracy / confusion: 95.75% / [[337, 16, 2], [11, 254, 2], [3, 0, 175]], * Val accuracy / confusion: 58.08% / [[148, 59, 23], [50, 96, 29], [23, 34, 58]] ------------------------------ Epoch 847 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.230314 - Iter 024 / 025, Loss: 0.048358 * Train accuracy / confusion: 94.88% / [[344, 10, 3], [16, 245, 5], [1, 6, 170]], * Val accuracy / confusion: 59.81% / [[146, 57, 27], [46, 104, 25], [21, 33, 61]] ------------------------------ Epoch 848 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.030327 - Iter 024 / 025, Loss: 0.164434 * Train accuracy / confusion: 94.88% / [[343, 10, 5], [16, 247, 5], [2, 3, 169]], * Val accuracy / confusion: 58.65% / [[155, 46, 29], [48, 100, 27], [24, 41, 50]] ------------------------------ Epoch 849 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.047396 - Iter 024 / 025, Loss: 0.135776 * Train accuracy / confusion: 95.88% / [[348, 8, 1], [13, 252, 3], [3, 5, 167]], * Val accuracy / confusion: 58.65% / [[160, 48, 22], [57, 92, 26], [27, 35, 53]] ------------------------------ Epoch 850 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.069073 - Iter 024 / 025, Loss: 0.194492 * Train accuracy / confusion: 96.25% / [[341, 11, 4], [6, 256, 4], [3, 2, 173]], * Val accuracy / confusion: 58.08% / [[155, 50, 25], [54, 91, 30], [27, 32, 56]] ------------------------------ Epoch 851 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.044536 - Iter 024 / 025, Loss: 0.053714 * Train accuracy / confusion: 95.62% / [[337, 17, 3], [10, 252, 2], [3, 0, 176]], * Val accuracy / confusion: 56.54% / [[148, 55, 27], [51, 94, 30], [28, 35, 52]] ------------------------------ Epoch 852 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.037100 - Iter 024 / 025, Loss: 0.075379 * Train accuracy / confusion: 97.75% / [[354, 5, 0], [8, 257, 2], [1, 2, 171]], * Val accuracy / confusion: 54.62% / [[142, 59, 29], [51, 97, 27], [27, 43, 45]] ------------------------------ Epoch 853 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.141883 - Iter 024 / 025, Loss: 0.074600 * Train accuracy / confusion: 95.75% / [[342, 8, 6], [12, 254, 3], [2, 3, 170]], * Val accuracy / confusion: 59.62% / [[155, 54, 21], [50, 96, 29], [22, 34, 59]] ------------------------------ Epoch 854 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.089448 - Iter 024 / 025, Loss: 0.127847 * Train accuracy / confusion: 95.38% / [[345, 8, 4], [10, 250, 7], [2, 6, 168]], * Val accuracy / confusion: 57.50% / [[151, 52, 27], [52, 98, 25], [25, 40, 50]] ------------------------------ Epoch 855 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.088595 - Iter 024 / 025, Loss: 0.022257 * Train accuracy / confusion: 96.62% / [[352, 6, 1], [10, 257, 3], [5, 2, 164]], * Val accuracy / confusion: 57.12% / [[150, 57, 23], [59, 91, 25], [29, 30, 56]] ------------------------------ Epoch 856 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.069469 - Iter 024 / 025, Loss: 0.153140 * Train accuracy / confusion: 96.25% / [[352, 6, 6], [12, 247, 3], [2, 1, 171]], * Val accuracy / confusion: 59.81% / [[157, 47, 26], [47, 98, 30], [23, 36, 56]] ------------------------------ Epoch 857 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.137463 - Iter 024 / 025, Loss: 0.101211 * Train accuracy / confusion: 95.75% / [[345, 9, 3], [13, 255, 1], [6, 2, 166]], * Val accuracy / confusion: 57.88% / [[157, 48, 25], [60, 93, 22], [27, 37, 51]] ------------------------------ Epoch 858 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.110706 - Iter 024 / 025, Loss: 0.244719 * Train accuracy / confusion: 97.00% / [[350, 8, 2], [7, 255, 2], [3, 2, 171]], * Val accuracy / confusion: 58.65% / [[152, 50, 28], [52, 95, 28], [22, 35, 58]] ------------------------------ Epoch 859 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.221682 - Iter 024 / 025, Loss: 0.167145 * Train accuracy / confusion: 95.00% / [[339, 12, 1], [12, 253, 6], [6, 3, 168]], * Val accuracy / confusion: 57.31% / [[155, 54, 21], [55, 89, 31], [35, 26, 54]] ------------------------------ Epoch 860 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.111703 - Iter 024 / 025, Loss: 0.124437 * Train accuracy / confusion: 95.12% / [[345, 10, 2], [11, 253, 6], [7, 3, 163]], * Val accuracy / confusion: 59.04% / [[151, 57, 22], [51, 106, 18], [32, 33, 50]] ------------------------------ Epoch 861 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.044023 - Iter 024 / 025, Loss: 0.087865 * Train accuracy / confusion: 95.88% / [[343, 7, 4], [6, 260, 6], [6, 4, 164]], * Val accuracy / confusion: 57.50% / [[150, 49, 31], [40, 98, 37], [29, 35, 51]] ------------------------------ Epoch 862 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.066330 - Iter 024 / 025, Loss: 0.076608 * Train accuracy / confusion: 96.75% / [[353, 6, 0], [13, 252, 2], [3, 2, 169]], * Val accuracy / confusion: 58.65% / [[153, 58, 19], [55, 94, 26], [29, 28, 58]] ------------------------------ Epoch 863 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.056065 - Iter 024 / 025, Loss: 0.049614 * Train accuracy / confusion: 95.12% / [[343, 10, 4], [12, 249, 5], [6, 2, 169]], * Val accuracy / confusion: 59.42% / [[149, 57, 24], [46, 106, 23], [28, 33, 54]] ------------------------------ Epoch 864 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.084726 - Iter 024 / 025, Loss: 0.123182 * Train accuracy / confusion: 95.75% / [[339, 9, 4], [11, 253, 5], [3, 2, 174]], * Val accuracy / confusion: 58.27% / [[154, 49, 27], [51, 92, 32], [22, 36, 57]] ------------------------------ Epoch 865 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.224626 - Iter 024 / 025, Loss: 0.135734 * Train accuracy / confusion: 95.62% / [[344, 9, 4], [6, 256, 6], [4, 6, 165]], * Val accuracy / confusion: 56.54% / [[153, 42, 35], [54, 79, 42], [30, 23, 62]] ------------------------------ Epoch 866 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.108657 - Iter 024 / 025, Loss: 0.055092 * Train accuracy / confusion: 96.50% / [[343, 9, 2], [11, 260, 1], [1, 4, 169]], * Val accuracy / confusion: 57.50% / [[142, 55, 33], [52, 97, 26], [21, 34, 60]] ------------------------------ Epoch 867 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.291391 - Iter 024 / 025, Loss: 0.045069 * Train accuracy / confusion: 94.62% / [[349, 5, 3], [14, 247, 7], [4, 10, 161]], * Val accuracy / confusion: 59.42% / [[156, 60, 14], [49, 105, 21], [25, 42, 48]] ------------------------------ Epoch 868 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.176622 - Iter 024 / 025, Loss: 0.105886 * Train accuracy / confusion: 95.75% / [[342, 15, 1], [11, 253, 4], [2, 1, 171]], * Val accuracy / confusion: 58.65% / [[151, 52, 27], [40, 105, 30], [29, 37, 49]] ------------------------------ Epoch 869 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.055657 - Iter 024 / 025, Loss: 0.067707 * Train accuracy / confusion: 96.50% / [[347, 7, 3], [10, 258, 1], [1, 6, 167]], * Val accuracy / confusion: 58.27% / [[155, 51, 24], [51, 95, 29], [27, 35, 53]] ------------------------------ Epoch 870 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.115099 - Iter 024 / 025, Loss: 0.063518 * Train accuracy / confusion: 96.12% / [[345, 12, 4], [11, 250, 2], [1, 1, 174]], * Val accuracy / confusion: 58.27% / [[147, 54, 29], [38, 104, 33], [28, 35, 52]] ------------------------------ Epoch 871 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.038418 - Iter 024 / 025, Loss: 0.159853 * Train accuracy / confusion: 96.25% / [[345, 11, 2], [12, 255, 2], [2, 1, 170]], * Val accuracy / confusion: 58.65% / [[145, 55, 30], [41, 102, 32], [21, 36, 58]] ------------------------------ Epoch 872 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.070376 - Iter 024 / 025, Loss: 0.070971 * Train accuracy / confusion: 96.50% / [[352, 8, 0], [9, 251, 4], [2, 5, 169]], * Val accuracy / confusion: 60.38% / [[166, 39, 25], [55, 93, 27], [28, 32, 55]] ------------------------------ Epoch 873 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.033626 - Iter 024 / 025, Loss: 0.139797 * Train accuracy / confusion: 95.25% / [[343, 9, 6], [11, 252, 4], [2, 6, 167]], * Val accuracy / confusion: 58.85% / [[160, 42, 28], [56, 89, 30], [26, 32, 57]] ------------------------------ Epoch 874 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.028651 - Iter 024 / 025, Loss: 0.206322 * Train accuracy / confusion: 95.88% / [[346, 12, 1], [16, 250, 1], [2, 1, 171]], * Val accuracy / confusion: 58.65% / [[162, 45, 23], [43, 93, 39], [26, 39, 50]] ------------------------------ Epoch 875 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.044812 - Iter 024 / 025, Loss: 0.152885 * Train accuracy / confusion: 96.75% / [[350, 4, 2], [10, 250, 5], [2, 3, 174]], * Val accuracy / confusion: 59.04% / [[163, 46, 21], [59, 87, 29], [28, 30, 57]] ------------------------------ Epoch 876 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.060909 - Iter 024 / 025, Loss: 0.058945 * Train accuracy / confusion: 96.88% / [[349, 5, 1], [12, 256, 3], [1, 3, 170]], * Val accuracy / confusion: 60.00% / [[147, 60, 23], [46, 109, 20], [25, 34, 56]] ------------------------------ Epoch 877 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.168592 - Iter 024 / 025, Loss: 0.097998 * Train accuracy / confusion: 96.75% / [[347, 6, 4], [8, 258, 2], [3, 3, 169]], * Val accuracy / confusion: 57.50% / [[159, 44, 27], [49, 95, 31], [26, 44, 45]] ------------------------------ Epoch 878 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.097326 - Iter 024 / 025, Loss: 0.340488 * Train accuracy / confusion: 96.62% / [[345, 5, 2], [11, 253, 4], [2, 3, 175]], * Val accuracy / confusion: 58.85% / [[147, 51, 32], [44, 106, 25], [23, 39, 53]] ------------------------------ Epoch 879 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.101357 - Iter 024 / 025, Loss: 0.138270 * Train accuracy / confusion: 95.50% / [[347, 7, 6], [10, 256, 2], [6, 5, 161]], * Val accuracy / confusion: 58.85% / [[149, 53, 28], [48, 96, 31], [26, 28, 61]] ------------------------------ Epoch 880 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.036193 - Iter 024 / 025, Loss: 0.273468 * Train accuracy / confusion: 96.25% / [[345, 10, 3], [10, 256, 2], [3, 2, 169]], * Val accuracy / confusion: 56.54% / [[148, 60, 22], [50, 92, 33], [22, 39, 54]] ------------------------------ Epoch 881 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.191451 - Iter 024 / 025, Loss: 0.008806 * Train accuracy / confusion: 96.12% / [[350, 5, 3], [13, 249, 4], [1, 5, 170]], * Val accuracy / confusion: 58.85% / [[161, 46, 23], [50, 100, 25], [32, 38, 45]] ------------------------------ Epoch 882 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.124240 - Iter 024 / 025, Loss: 0.029843 * Train accuracy / confusion: 95.50% / [[343, 9, 4], [12, 253, 3], [2, 6, 168]], * Val accuracy / confusion: 57.50% / [[160, 40, 30], [55, 88, 32], [26, 38, 51]] ------------------------------ Epoch 883 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.062955 - Iter 024 / 025, Loss: 0.145708 * Train accuracy / confusion: 95.62% / [[345, 7, 3], [10, 251, 7], [4, 4, 169]], * Val accuracy / confusion: 56.54% / [[155, 40, 35], [55, 83, 37], [28, 31, 56]] ------------------------------ Epoch 884 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.062673 - Iter 024 / 025, Loss: 0.034951 * Train accuracy / confusion: 96.25% / [[346, 4, 5], [12, 252, 4], [2, 3, 172]], * Val accuracy / confusion: 57.31% / [[157, 44, 29], [64, 91, 20], [32, 33, 50]] ------------------------------ Epoch 885 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.142194 - Iter 024 / 025, Loss: 0.119036 * Train accuracy / confusion: 95.38% / [[345, 12, 3], [11, 246, 7], [4, 0, 172]], * Val accuracy / confusion: 55.96% / [[152, 47, 31], [59, 79, 37], [31, 24, 60]] ------------------------------ Epoch 886 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.041508 - Iter 024 / 025, Loss: 0.065836 * Train accuracy / confusion: 96.38% / [[344, 7, 2], [13, 251, 2], [3, 2, 176]], * Val accuracy / confusion: 57.50% / [[148, 50, 32], [52, 91, 32], [22, 33, 60]] ------------------------------ Epoch 887 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.110201 - Iter 024 / 025, Loss: 0.101911 * Train accuracy / confusion: 95.62% / [[340, 9, 6], [9, 259, 3], [2, 6, 166]], * Val accuracy / confusion: 61.15% / [[151, 54, 25], [46, 103, 26], [16, 35, 64]] ------------------------------ Epoch 888 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.118118 - Iter 024 / 025, Loss: 0.161283 * Train accuracy / confusion: 96.50% / [[349, 6, 1], [10, 254, 3], [2, 6, 169]], * Val accuracy / confusion: 58.85% / [[150, 52, 28], [50, 101, 24], [22, 38, 55]] ------------------------------ Epoch 889 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.075060 - Iter 024 / 025, Loss: 0.071565 * Train accuracy / confusion: 95.38% / [[342, 15, 0], [14, 252, 2], [2, 4, 169]], * Val accuracy / confusion: 59.42% / [[153, 52, 25], [49, 104, 22], [26, 37, 52]] ------------------------------ Epoch 890 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.118368 - Iter 024 / 025, Loss: 0.099665 * Train accuracy / confusion: 95.00% / [[340, 15, 2], [14, 253, 3], [4, 2, 167]], * Val accuracy / confusion: 59.23% / [[161, 50, 19], [51, 93, 31], [38, 23, 54]] ------------------------------ Epoch 891 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.059850 - Iter 024 / 025, Loss: 0.172961 * Train accuracy / confusion: 95.88% / [[353, 9, 0], [13, 247, 4], [4, 3, 167]], * Val accuracy / confusion: 57.69% / [[155, 52, 23], [52, 93, 30], [22, 41, 52]] ------------------------------ Epoch 892 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.045112 - Iter 024 / 025, Loss: 0.087269 * Train accuracy / confusion: 96.12% / [[340, 13, 2], [8, 256, 2], [3, 3, 173]], * Val accuracy / confusion: 57.88% / [[157, 44, 29], [54, 88, 33], [23, 36, 56]] ------------------------------ Epoch 893 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.115515 - Iter 024 / 025, Loss: 0.102028 * Train accuracy / confusion: 95.12% / [[341, 9, 8], [11, 251, 5], [4, 2, 169]], * Val accuracy / confusion: 57.88% / [[144, 58, 28], [47, 98, 30], [24, 32, 59]] ------------------------------ Epoch 894 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.187568 - Iter 024 / 025, Loss: 0.106548 * Train accuracy / confusion: 96.12% / [[350, 7, 2], [10, 253, 4], [5, 3, 166]], * Val accuracy / confusion: 58.08% / [[155, 51, 24], [60, 90, 25], [31, 27, 57]] ------------------------------ Epoch 895 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.073286 - Iter 024 / 025, Loss: 0.289631 * Train accuracy / confusion: 95.00% / [[339, 14, 2], [15, 251, 2], [1, 6, 170]], * Val accuracy / confusion: 55.38% / [[151, 54, 25], [53, 88, 34], [16, 50, 49]] ------------------------------ Epoch 896 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.145709 - Iter 024 / 025, Loss: 0.124592 * Train accuracy / confusion: 95.38% / [[348, 6, 4], [18, 245, 4], [2, 3, 170]], * Val accuracy / confusion: 61.92% / [[154, 49, 27], [45, 112, 18], [32, 27, 56]] ------------------------------ Epoch 897 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.091027 - Iter 024 / 025, Loss: 0.255465 * Train accuracy / confusion: 95.50% / [[340, 12, 2], [14, 250, 4], [1, 3, 174]], * Val accuracy / confusion: 55.77% / [[154, 46, 30], [62, 84, 29], [32, 31, 52]] ------------------------------ Epoch 898 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.160473 - Iter 024 / 025, Loss: 0.056638 * Train accuracy / confusion: 96.25% / [[336, 14, 2], [5, 260, 2], [5, 2, 174]], * Val accuracy / confusion: 58.46% / [[150, 58, 22], [49, 94, 32], [31, 24, 60]] ------------------------------ Epoch 899 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.106207 - Iter 024 / 025, Loss: 0.039530 * Train accuracy / confusion: 96.50% / [[347, 8, 1], [11, 253, 3], [3, 2, 172]], * Val accuracy / confusion: 57.12% / [[157, 44, 29], [53, 91, 31], [31, 35, 49]] ------------------------------ Epoch 900 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.088960 - Iter 024 / 025, Loss: 0.092406 * Train accuracy / confusion: 95.50% / [[347, 10, 1], [13, 248, 5], [5, 2, 169]], * Val accuracy / confusion: 59.23% / [[156, 46, 28], [51, 94, 30], [27, 30, 58]] ------------------------------ Epoch 901 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.065959 - Iter 024 / 025, Loss: 0.189945 * Train accuracy / confusion: 96.75% / [[348, 5, 3], [8, 256, 4], [3, 3, 170]], * Val accuracy / confusion: 58.85% / [[148, 56, 26], [45, 99, 31], [28, 28, 59]] ------------------------------ Epoch 902 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.051938 - Iter 024 / 025, Loss: 0.269899 * Train accuracy / confusion: 97.12% / [[344, 4, 5], [9, 258, 3], [0, 2, 175]], * Val accuracy / confusion: 61.73% / [[164, 36, 30], [53, 98, 24], [27, 29, 59]] ------------------------------ Epoch 903 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.063261 - Iter 024 / 025, Loss: 0.117145 * Train accuracy / confusion: 96.62% / [[343, 8, 2], [12, 257, 0], [5, 0, 173]], * Val accuracy / confusion: 59.62% / [[155, 50, 25], [48, 97, 30], [25, 32, 58]] ------------------------------ Epoch 904 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.032478 - Iter 024 / 025, Loss: 0.184320 * Train accuracy / confusion: 95.62% / [[344, 8, 2], [14, 251, 5], [1, 5, 170]], * Val accuracy / confusion: 57.31% / [[156, 48, 26], [50, 93, 32], [28, 38, 49]] ------------------------------ Epoch 905 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.159192 - Iter 024 / 025, Loss: 0.107696 * Train accuracy / confusion: 96.25% / [[345, 7, 3], [11, 254, 5], [0, 4, 171]], * Val accuracy / confusion: 57.50% / [[147, 62, 21], [44, 100, 31], [28, 35, 52]] ------------------------------ Epoch 906 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.075023 - Iter 024 / 025, Loss: 0.080306 * Train accuracy / confusion: 95.50% / [[343, 10, 3], [11, 251, 5], [0, 7, 170]], * Val accuracy / confusion: 59.42% / [[150, 52, 28], [45, 110, 20], [26, 40, 49]] ------------------------------ Epoch 907 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.091554 - Iter 024 / 025, Loss: 0.103147 * Train accuracy / confusion: 96.88% / [[353, 5, 2], [8, 252, 5], [0, 5, 170]], * Val accuracy / confusion: 54.62% / [[148, 53, 29], [60, 84, 31], [29, 34, 52]] ------------------------------ Epoch 908 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.064857 - Iter 024 / 025, Loss: 0.101838 * Train accuracy / confusion: 96.25% / [[342, 14, 0], [9, 255, 2], [3, 2, 173]], * Val accuracy / confusion: 58.65% / [[149, 58, 23], [46, 98, 31], [27, 30, 58]] ------------------------------ Epoch 909 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.035600 - Iter 024 / 025, Loss: 0.042148 * Train accuracy / confusion: 96.75% / [[349, 5, 1], [8, 255, 5], [5, 2, 170]], * Val accuracy / confusion: 62.31% / [[165, 41, 24], [44, 109, 22], [25, 40, 50]] ------------------------------ Epoch 910 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.139761 - Iter 024 / 025, Loss: 0.023227 * Train accuracy / confusion: 96.00% / [[342, 10, 1], [16, 251, 4], [1, 0, 175]], * Val accuracy / confusion: 57.12% / [[147, 49, 34], [40, 94, 41], [27, 32, 56]] ------------------------------ Epoch 911 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.059472 - Iter 024 / 025, Loss: 0.057009 * Train accuracy / confusion: 95.50% / [[345, 10, 2], [13, 251, 4], [4, 3, 168]], * Val accuracy / confusion: 59.81% / [[160, 44, 26], [49, 95, 31], [25, 34, 56]] ------------------------------ Epoch 912 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.026135 - Iter 024 / 025, Loss: 0.092593 * Train accuracy / confusion: 96.50% / [[348, 6, 2], [10, 256, 3], [2, 5, 168]], * Val accuracy / confusion: 59.81% / [[160, 47, 23], [58, 93, 24], [25, 32, 58]] ------------------------------ Epoch 913 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.124914 - Iter 024 / 025, Loss: 0.086953 * Train accuracy / confusion: 96.50% / [[345, 10, 1], [7, 255, 6], [2, 2, 172]], * Val accuracy / confusion: 56.73% / [[150, 50, 30], [49, 98, 28], [28, 40, 47]] ------------------------------ Epoch 914 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.058088 - Iter 024 / 025, Loss: 0.180058 * Train accuracy / confusion: 95.88% / [[348, 5, 3], [10, 252, 4], [4, 7, 167]], * Val accuracy / confusion: 58.46% / [[165, 42, 23], [59, 87, 29], [36, 27, 52]] ------------------------------ Epoch 915 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.207279 - Iter 024 / 025, Loss: 0.038475 * Train accuracy / confusion: 96.50% / [[347, 9, 3], [7, 260, 2], [2, 5, 165]], * Val accuracy / confusion: 58.85% / [[162, 44, 24], [56, 90, 29], [28, 33, 54]] ------------------------------ Epoch 916 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.255277 - Iter 024 / 025, Loss: 0.118294 * Train accuracy / confusion: 95.62% / [[343, 12, 3], [13, 252, 2], [3, 2, 170]], * Val accuracy / confusion: 57.69% / [[156, 43, 31], [58, 89, 28], [28, 32, 55]] ------------------------------ Epoch 917 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.024459 - Iter 024 / 025, Loss: 0.096831 * Train accuracy / confusion: 96.12% / [[350, 5, 2], [10, 250, 6], [2, 6, 169]], * Val accuracy / confusion: 60.77% / [[155, 43, 32], [47, 96, 32], [17, 33, 65]] ------------------------------ Epoch 918 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.026980 - Iter 024 / 025, Loss: 0.122707 * Train accuracy / confusion: 94.88% / [[349, 6, 2], [18, 241, 6], [1, 8, 169]], * Val accuracy / confusion: 58.65% / [[148, 61, 21], [52, 106, 17], [26, 38, 51]] ------------------------------ Epoch 919 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.133580 - Iter 024 / 025, Loss: 0.116931 * Train accuracy / confusion: 96.12% / [[344, 7, 3], [10, 254, 2], [5, 4, 171]], * Val accuracy / confusion: 59.42% / [[156, 46, 28], [44, 99, 32], [25, 36, 54]] ------------------------------ Epoch 920 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.193562 - Iter 024 / 025, Loss: 0.055814 * Train accuracy / confusion: 96.12% / [[349, 6, 3], [12, 252, 3], [3, 4, 168]], * Val accuracy / confusion: 59.42% / [[148, 51, 31], [39, 107, 29], [24, 37, 54]] ------------------------------ Epoch 921 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.144327 - Iter 024 / 025, Loss: 0.021016 * Train accuracy / confusion: 95.50% / [[339, 13, 5], [9, 255, 5], [1, 3, 170]], * Val accuracy / confusion: 58.85% / [[159, 50, 21], [54, 99, 22], [31, 36, 48]] ------------------------------ Epoch 922 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.183253 - Iter 024 / 025, Loss: 0.044443 * Train accuracy / confusion: 96.00% / [[338, 12, 5], [5, 260, 3], [4, 3, 170]], * Val accuracy / confusion: 59.62% / [[157, 54, 19], [48, 98, 29], [27, 33, 55]] ------------------------------ Epoch 923 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.097101 - Iter 024 / 025, Loss: 0.130411 * Train accuracy / confusion: 96.88% / [[346, 7, 3], [10, 256, 1], [1, 3, 173]], * Val accuracy / confusion: 57.88% / [[151, 51, 28], [45, 100, 30], [34, 31, 50]] ------------------------------ Epoch 924 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.100579 - Iter 024 / 025, Loss: 0.087983 * Train accuracy / confusion: 95.88% / [[346, 7, 4], [12, 254, 4], [2, 4, 167]], * Val accuracy / confusion: 56.92% / [[154, 49, 27], [53, 96, 26], [29, 40, 46]] ------------------------------ Epoch 925 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.090508 - Iter 024 / 025, Loss: 0.172257 * Train accuracy / confusion: 94.75% / [[343, 14, 3], [13, 248, 2], [7, 3, 167]], * Val accuracy / confusion: 57.88% / [[150, 55, 25], [50, 96, 29], [25, 35, 55]] ------------------------------ Epoch 926 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.100134 - Iter 024 / 025, Loss: 0.062452 * Train accuracy / confusion: 97.12% / [[350, 6, 1], [8, 260, 2], [2, 4, 167]], * Val accuracy / confusion: 57.50% / [[154, 40, 36], [56, 90, 29], [25, 35, 55]] ------------------------------ Epoch 927 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.075833 - Iter 024 / 025, Loss: 0.051254 * Train accuracy / confusion: 96.62% / [[349, 4, 3], [11, 255, 3], [3, 3, 169]], * Val accuracy / confusion: 59.04% / [[164, 39, 27], [53, 93, 29], [31, 34, 50]] ------------------------------ Epoch 928 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.160239 - Iter 024 / 025, Loss: 0.056534 * Train accuracy / confusion: 96.12% / [[350, 7, 2], [9, 251, 3], [6, 4, 168]], * Val accuracy / confusion: 58.27% / [[149, 59, 22], [49, 101, 25], [25, 37, 53]] ------------------------------ Epoch 929 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.155853 - Iter 024 / 025, Loss: 0.107260 * Train accuracy / confusion: 96.00% / [[343, 10, 2], [13, 252, 2], [3, 2, 173]], * Val accuracy / confusion: 57.88% / [[148, 61, 21], [42, 99, 34], [25, 36, 54]] ------------------------------ Epoch 930 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.053274 - Iter 024 / 025, Loss: 0.080015 * Train accuracy / confusion: 95.75% / [[349, 8, 0], [11, 246, 9], [1, 5, 171]], * Val accuracy / confusion: 58.85% / [[147, 63, 20], [48, 102, 25], [25, 33, 57]] ------------------------------ Epoch 931 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.226938 - Iter 024 / 025, Loss: 0.093734 * Train accuracy / confusion: 95.50% / [[346, 7, 2], [13, 252, 2], [4, 8, 166]], * Val accuracy / confusion: 60.38% / [[159, 46, 25], [42, 101, 32], [23, 38, 54]] ------------------------------ Epoch 932 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.057908 - Iter 024 / 025, Loss: 0.257099 * Train accuracy / confusion: 96.38% / [[345, 7, 3], [11, 250, 5], [1, 2, 176]], * Val accuracy / confusion: 60.96% / [[165, 47, 18], [57, 91, 27], [24, 30, 61]] ------------------------------ Epoch 933 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.039489 - Iter 024 / 025, Loss: 0.172938 * Train accuracy / confusion: 96.50% / [[353, 2, 1], [9, 253, 5], [4, 7, 166]], * Val accuracy / confusion: 58.08% / [[151, 57, 22], [44, 93, 38], [29, 28, 58]] ------------------------------ Epoch 934 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.086096 - Iter 024 / 025, Loss: 0.071530 * Train accuracy / confusion: 96.75% / [[345, 8, 1], [9, 255, 4], [0, 4, 174]], * Val accuracy / confusion: 57.69% / [[149, 56, 25], [49, 93, 33], [22, 35, 58]] ------------------------------ Epoch 935 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.103305 - Iter 024 / 025, Loss: 0.156077 * Train accuracy / confusion: 95.12% / [[339, 13, 5], [10, 248, 7], [0, 4, 174]], * Val accuracy / confusion: 56.54% / [[140, 63, 27], [37, 102, 36], [23, 40, 52]] ------------------------------ Epoch 936 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.102270 - Iter 024 / 025, Loss: 0.131805 * Train accuracy / confusion: 95.38% / [[341, 13, 5], [11, 250, 3], [1, 4, 172]], * Val accuracy / confusion: 58.27% / [[143, 58, 29], [46, 104, 25], [16, 43, 56]] ------------------------------ Epoch 937 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.105085 - Iter 024 / 025, Loss: 0.080097 * Train accuracy / confusion: 96.75% / [[349, 7, 3], [6, 256, 4], [5, 1, 169]], * Val accuracy / confusion: 58.46% / [[156, 50, 24], [50, 99, 26], [29, 37, 49]] ------------------------------ Epoch 938 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.042337 - Iter 024 / 025, Loss: 0.026155 * Train accuracy / confusion: 96.75% / [[351, 5, 1], [12, 251, 4], [3, 1, 172]], * Val accuracy / confusion: 58.27% / [[162, 39, 29], [47, 93, 35], [30, 37, 48]] ------------------------------ Epoch 939 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.263193 - Iter 024 / 025, Loss: 0.069647 * Train accuracy / confusion: 97.00% / [[349, 7, 2], [11, 254, 1], [1, 2, 173]], * Val accuracy / confusion: 57.50% / [[151, 58, 21], [48, 96, 31], [27, 36, 52]] ------------------------------ Epoch 940 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.022342 - Iter 024 / 025, Loss: 0.066886 * Train accuracy / confusion: 96.38% / [[346, 8, 3], [5, 256, 5], [5, 3, 169]], * Val accuracy / confusion: 58.08% / [[146, 54, 30], [49, 98, 28], [24, 33, 58]] ------------------------------ Epoch 941 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.285044 - Iter 024 / 025, Loss: 0.029369 * Train accuracy / confusion: 96.38% / [[352, 5, 2], [16, 249, 1], [3, 2, 170]], * Val accuracy / confusion: 54.62% / [[138, 57, 35], [46, 93, 36], [20, 42, 53]] ------------------------------ Epoch 942 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.065464 - Iter 024 / 025, Loss: 0.269257 * Train accuracy / confusion: 97.25% / [[348, 8, 0], [9, 257, 3], [0, 2, 173]], * Val accuracy / confusion: 58.27% / [[158, 53, 19], [55, 93, 27], [25, 38, 52]] ------------------------------ Epoch 943 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.088467 - Iter 024 / 025, Loss: 0.085290 * Train accuracy / confusion: 95.75% / [[340, 12, 4], [9, 256, 3], [5, 1, 170]], * Val accuracy / confusion: 58.46% / [[154, 46, 30], [53, 94, 28], [24, 35, 56]] ------------------------------ Epoch 944 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.107778 - Iter 024 / 025, Loss: 0.085462 * Train accuracy / confusion: 96.75% / [[344, 10, 1], [7, 253, 5], [2, 1, 177]], * Val accuracy / confusion: 58.27% / [[149, 46, 35], [46, 106, 23], [28, 39, 48]] ------------------------------ Epoch 945 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.135321 - Iter 024 / 025, Loss: 0.038339 * Train accuracy / confusion: 96.38% / [[348, 7, 2], [10, 254, 5], [3, 2, 169]], * Val accuracy / confusion: 59.42% / [[157, 46, 27], [38, 102, 35], [25, 40, 50]] ------------------------------ Epoch 946 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.069064 - Iter 024 / 025, Loss: 0.082917 * Train accuracy / confusion: 95.50% / [[337, 16, 4], [5, 260, 1], [6, 4, 167]], * Val accuracy / confusion: 57.50% / [[149, 54, 27], [48, 103, 24], [32, 36, 47]] ------------------------------ Epoch 947 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.111809 - Iter 024 / 025, Loss: 0.052117 * Train accuracy / confusion: 95.00% / [[340, 7, 6], [11, 252, 5], [6, 5, 168]], * Val accuracy / confusion: 57.50% / [[153, 42, 35], [52, 90, 33], [25, 34, 56]] ------------------------------ Epoch 948 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.082442 - Iter 024 / 025, Loss: 0.157009 * Train accuracy / confusion: 97.00% / [[348, 7, 3], [9, 257, 1], [1, 3, 171]], * Val accuracy / confusion: 57.31% / [[154, 42, 34], [50, 90, 35], [24, 37, 54]] ------------------------------ Epoch 949 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.020707 - Iter 024 / 025, Loss: 0.104728 * Train accuracy / confusion: 97.00% / [[349, 6, 1], [8, 254, 6], [1, 2, 173]], * Val accuracy / confusion: 60.38% / [[159, 50, 21], [53, 90, 32], [22, 28, 65]] ------------------------------ Epoch 950 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.217748 - Iter 024 / 025, Loss: 0.058586 * Train accuracy / confusion: 97.50% / [[345, 8, 3], [3, 261, 4], [2, 0, 174]], * Val accuracy / confusion: 57.12% / [[144, 60, 26], [49, 101, 25], [23, 40, 52]] ------------------------------ Epoch 951 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.217951 - Iter 024 / 025, Loss: 0.215747 * Train accuracy / confusion: 95.88% / [[345, 6, 7], [13, 256, 1], [3, 3, 166]], * Val accuracy / confusion: 54.62% / [[131, 63, 36], [35, 98, 42], [22, 38, 55]] ------------------------------ Epoch 952 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.106751 - Iter 024 / 025, Loss: 0.052197 * Train accuracy / confusion: 97.38% / [[346, 3, 2], [7, 259, 1], [2, 6, 174]], * Val accuracy / confusion: 58.27% / [[152, 53, 25], [52, 98, 25], [26, 36, 53]] ------------------------------ Epoch 953 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.018396 - Iter 024 / 025, Loss: 0.025487 * Train accuracy / confusion: 96.50% / [[350, 8, 1], [13, 248, 3], [1, 2, 174]], * Val accuracy / confusion: 54.23% / [[148, 53, 29], [53, 92, 30], [32, 41, 42]] ------------------------------ Epoch 954 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.065420 - Iter 024 / 025, Loss: 0.040698 * Train accuracy / confusion: 95.00% / [[334, 14, 3], [11, 256, 4], [3, 5, 170]], * Val accuracy / confusion: 58.46% / [[158, 48, 24], [63, 86, 26], [24, 31, 60]] ------------------------------ Epoch 955 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.070703 - Iter 024 / 025, Loss: 0.195190 * Train accuracy / confusion: 96.25% / [[345, 4, 8], [9, 255, 2], [2, 5, 170]], * Val accuracy / confusion: 57.12% / [[148, 56, 26], [45, 98, 32], [33, 31, 51]] ------------------------------ Epoch 956 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.041720 - Iter 024 / 025, Loss: 0.008225 * Train accuracy / confusion: 96.62% / [[340, 9, 4], [8, 259, 0], [3, 3, 174]], * Val accuracy / confusion: 55.96% / [[151, 49, 30], [57, 89, 29], [26, 38, 51]] ------------------------------ Epoch 957 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.073210 - Iter 024 / 025, Loss: 0.113373 * Train accuracy / confusion: 95.88% / [[344, 12, 1], [10, 252, 5], [0, 5, 171]], * Val accuracy / confusion: 59.62% / [[160, 47, 23], [52, 92, 31], [29, 28, 58]] ------------------------------ Epoch 958 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.105745 - Iter 024 / 025, Loss: 0.044330 * Train accuracy / confusion: 97.00% / [[350, 6, 1], [13, 250, 2], [1, 1, 176]], * Val accuracy / confusion: 56.15% / [[143, 64, 23], [47, 99, 29], [26, 39, 50]] ------------------------------ Epoch 959 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.149210 - Iter 024 / 025, Loss: 0.059547 * Train accuracy / confusion: 96.12% / [[345, 6, 2], [14, 251, 5], [2, 2, 173]], * Val accuracy / confusion: 59.42% / [[157, 51, 22], [54, 96, 25], [27, 32, 56]] ------------------------------ Epoch 960 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.176205 - Iter 024 / 025, Loss: 0.045036 * Train accuracy / confusion: 96.62% / [[345, 6, 2], [7, 262, 3], [2, 7, 166]], * Val accuracy / confusion: 56.92% / [[151, 53, 26], [53, 90, 32], [29, 31, 55]] ------------------------------ Epoch 961 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.151090 - Iter 024 / 025, Loss: 0.029477 * Train accuracy / confusion: 96.00% / [[339, 7, 2], [10, 256, 6], [2, 5, 173]], * Val accuracy / confusion: 55.19% / [[157, 39, 34], [64, 81, 30], [34, 32, 49]] ------------------------------ Epoch 962 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.044468 - Iter 024 / 025, Loss: 0.157078 * Train accuracy / confusion: 94.88% / [[340, 13, 3], [16, 248, 4], [1, 4, 171]], * Val accuracy / confusion: 58.65% / [[156, 50, 24], [63, 94, 18], [26, 34, 55]] ------------------------------ Epoch 963 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.027426 - Iter 024 / 025, Loss: 0.071137 * Train accuracy / confusion: 96.00% / [[347, 9, 2], [14, 258, 1], [3, 3, 163]], * Val accuracy / confusion: 60.00% / [[162, 47, 21], [53, 98, 24], [21, 42, 52]] ------------------------------ Epoch 964 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.052651 - Iter 024 / 025, Loss: 0.033573 * Train accuracy / confusion: 96.00% / [[341, 10, 5], [7, 260, 4], [3, 3, 167]], * Val accuracy / confusion: 60.77% / [[150, 56, 24], [38, 110, 27], [22, 37, 56]] ------------------------------ Epoch 965 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016529 - Iter 024 / 025, Loss: 0.048750 * Train accuracy / confusion: 97.75% / [[353, 4, 2], [6, 255, 2], [1, 3, 174]], * Val accuracy / confusion: 58.27% / [[155, 47, 28], [48, 99, 28], [30, 36, 49]] ------------------------------ Epoch 966 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.080827 - Iter 024 / 025, Loss: 0.117936 * Train accuracy / confusion: 97.38% / [[349, 8, 1], [8, 259, 1], [0, 3, 171]], * Val accuracy / confusion: 55.96% / [[151, 47, 32], [60, 79, 36], [25, 29, 61]] ------------------------------ Epoch 967 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.050961 - Iter 024 / 025, Loss: 0.091485 * Train accuracy / confusion: 96.50% / [[348, 8, 2], [7, 255, 5], [2, 4, 169]], * Val accuracy / confusion: 59.42% / [[158, 49, 23], [53, 102, 20], [26, 40, 49]] ------------------------------ Epoch 968 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.259496 - Iter 024 / 025, Loss: 0.195091 * Train accuracy / confusion: 95.50% / [[340, 5, 8], [11, 254, 4], [4, 4, 170]], * Val accuracy / confusion: 56.15% / [[142, 58, 30], [56, 96, 23], [25, 36, 54]] ------------------------------ Epoch 969 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.138741 - Iter 024 / 025, Loss: 0.025638 * Train accuracy / confusion: 96.62% / [[347, 9, 1], [9, 255, 4], [1, 3, 171]], * Val accuracy / confusion: 57.88% / [[154, 53, 23], [44, 99, 32], [29, 38, 48]] ------------------------------ Epoch 970 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.320185 - Iter 024 / 025, Loss: 0.050962 * Train accuracy / confusion: 96.25% / [[343, 6, 1], [12, 256, 1], [5, 5, 171]], * Val accuracy / confusion: 59.81% / [[159, 47, 24], [55, 98, 22], [26, 35, 54]] ------------------------------ Epoch 971 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.291980 - Iter 024 / 025, Loss: 0.234161 * Train accuracy / confusion: 97.12% / [[348, 6, 2], [8, 252, 5], [1, 1, 177]], * Val accuracy / confusion: 56.73% / [[153, 48, 29], [57, 85, 33], [28, 30, 57]] ------------------------------ Epoch 972 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.147878 - Iter 024 / 025, Loss: 0.057047 * Train accuracy / confusion: 96.38% / [[349, 6, 7], [8, 260, 2], [2, 4, 162]], * Val accuracy / confusion: 56.73% / [[147, 43, 40], [38, 86, 51], [26, 27, 62]] ------------------------------ Epoch 973 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.159687 - Iter 024 / 025, Loss: 0.076315 * Train accuracy / confusion: 96.25% / [[354, 5, 2], [9, 253, 5], [3, 6, 163]], * Val accuracy / confusion: 59.42% / [[158, 51, 21], [45, 100, 30], [27, 37, 51]] ------------------------------ Epoch 974 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.095607 - Iter 024 / 025, Loss: 0.316940 * Train accuracy / confusion: 95.62% / [[346, 8, 2], [10, 253, 8], [2, 5, 166]], * Val accuracy / confusion: 58.27% / [[157, 48, 25], [50, 99, 26], [32, 36, 47]] ------------------------------ Epoch 975 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.203114 - Iter 024 / 025, Loss: 0.015916 * Train accuracy / confusion: 96.75% / [[351, 6, 1], [12, 252, 4], [1, 2, 171]], * Val accuracy / confusion: 56.92% / [[151, 51, 28], [50, 96, 29], [28, 38, 49]] ------------------------------ Epoch 976 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.070405 - Iter 024 / 025, Loss: 0.079545 * Train accuracy / confusion: 96.62% / [[350, 5, 1], [10, 256, 1], [5, 5, 167]], * Val accuracy / confusion: 56.35% / [[150, 59, 21], [53, 89, 33], [31, 30, 54]] ------------------------------ Epoch 977 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.075416 - Iter 024 / 025, Loss: 0.097415 * Train accuracy / confusion: 96.12% / [[336, 16, 2], [3, 266, 2], [4, 4, 167]], * Val accuracy / confusion: 60.58% / [[150, 53, 27], [38, 109, 28], [21, 38, 56]] ------------------------------ Epoch 978 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.162487 - Iter 024 / 025, Loss: 0.126364 * Train accuracy / confusion: 96.00% / [[344, 9, 3], [12, 248, 4], [1, 3, 176]], * Val accuracy / confusion: 56.54% / [[151, 48, 31], [58, 85, 32], [24, 33, 58]] ------------------------------ Epoch 979 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.095952 - Iter 024 / 025, Loss: 0.067065 * Train accuracy / confusion: 96.38% / [[341, 9, 2], [9, 259, 2], [3, 4, 171]], * Val accuracy / confusion: 59.81% / [[166, 46, 18], [58, 93, 24], [35, 28, 52]] ------------------------------ Epoch 980 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.062498 - Iter 024 / 025, Loss: 0.093440 * Train accuracy / confusion: 97.25% / [[350, 3, 1], [9, 257, 4], [2, 3, 171]], * Val accuracy / confusion: 59.42% / [[156, 53, 21], [48, 101, 26], [31, 32, 52]] ------------------------------ Epoch 981 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.050679 - Iter 024 / 025, Loss: 0.048859 * Train accuracy / confusion: 95.62% / [[347, 6, 3], [9, 253, 5], [5, 7, 165]], * Val accuracy / confusion: 58.08% / [[152, 56, 22], [52, 99, 24], [32, 32, 51]] ------------------------------ Epoch 982 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.027104 - Iter 024 / 025, Loss: 0.085340 * Train accuracy / confusion: 97.62% / [[349, 6, 0], [4, 259, 5], [2, 2, 173]], * Val accuracy / confusion: 61.15% / [[157, 46, 27], [40, 102, 33], [20, 36, 59]] ------------------------------ Epoch 983 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.201600 - Iter 024 / 025, Loss: 0.044906 * Train accuracy / confusion: 95.75% / [[339, 13, 5], [11, 256, 1], [2, 2, 171]], * Val accuracy / confusion: 57.88% / [[140, 62, 28], [40, 103, 32], [21, 36, 58]] ------------------------------ Epoch 984 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.036327 - Iter 024 / 025, Loss: 0.045995 * Train accuracy / confusion: 96.75% / [[342, 6, 2], [11, 262, 1], [1, 5, 170]], * Val accuracy / confusion: 62.12% / [[162, 47, 21], [48, 99, 28], [22, 31, 62]] ------------------------------ Epoch 985 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.033073 - Iter 024 / 025, Loss: 0.166892 * Train accuracy / confusion: 95.62% / [[341, 10, 7], [11, 248, 5], [1, 1, 176]], * Val accuracy / confusion: 56.35% / [[149, 56, 25], [54, 97, 24], [31, 37, 47]] ------------------------------ Epoch 986 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.254306 - Iter 024 / 025, Loss: 0.093806 * Train accuracy / confusion: 97.25% / [[346, 7, 1], [6, 261, 3], [4, 1, 171]], * Val accuracy / confusion: 58.27% / [[145, 57, 28], [50, 100, 25], [24, 33, 58]] ------------------------------ Epoch 987 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.140017 - Iter 024 / 025, Loss: 0.023178 * Train accuracy / confusion: 95.88% / [[337, 11, 4], [9, 262, 3], [4, 2, 168]], * Val accuracy / confusion: 57.12% / [[151, 51, 28], [50, 88, 37], [24, 33, 58]] ------------------------------ Epoch 988 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.069850 - Iter 024 / 025, Loss: 0.202084 * Train accuracy / confusion: 96.62% / [[347, 11, 0], [11, 254, 1], [2, 2, 172]], * Val accuracy / confusion: 55.96% / [[146, 58, 26], [49, 91, 35], [24, 37, 54]] ------------------------------ Epoch 989 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.055110 - Iter 024 / 025, Loss: 0.090189 * Train accuracy / confusion: 96.00% / [[339, 13, 2], [8, 259, 5], [0, 4, 170]], * Val accuracy / confusion: 56.54% / [[154, 50, 26], [55, 84, 36], [24, 35, 56]] ------------------------------ Epoch 990 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.049682 - Iter 024 / 025, Loss: 0.037913 * Train accuracy / confusion: 96.75% / [[346, 8, 1], [6, 255, 4], [1, 6, 173]], * Val accuracy / confusion: 56.35% / [[157, 39, 34], [43, 89, 43], [25, 43, 47]] ------------------------------ Epoch 991 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.083654 - Iter 024 / 025, Loss: 0.163526 * Train accuracy / confusion: 97.12% / [[352, 7, 0], [9, 258, 3], [1, 3, 167]], * Val accuracy / confusion: 57.12% / [[155, 56, 19], [60, 92, 23], [29, 36, 50]] ------------------------------ Epoch 992 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.038423 - Iter 024 / 025, Loss: 0.190449 * Train accuracy / confusion: 97.12% / [[356, 6, 2], [6, 250, 7], [1, 1, 171]], * Val accuracy / confusion: 59.62% / [[153, 55, 22], [46, 95, 34], [23, 30, 62]] ------------------------------ Epoch 993 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.373485 - Iter 024 / 025, Loss: 0.276661 * Train accuracy / confusion: 97.12% / [[348, 7, 1], [10, 253, 2], [2, 1, 176]], * Val accuracy / confusion: 59.23% / [[167, 40, 23], [60, 94, 21], [31, 37, 47]] ------------------------------ Epoch 994 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.141036 - Iter 024 / 025, Loss: 0.292985 * Train accuracy / confusion: 96.75% / [[352, 2, 1], [9, 253, 4], [3, 7, 169]], * Val accuracy / confusion: 60.58% / [[150, 56, 24], [42, 106, 27], [23, 33, 59]] ------------------------------ Epoch 995 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.017377 - Iter 024 / 025, Loss: 0.031780 * Train accuracy / confusion: 96.62% / [[348, 7, 3], [6, 249, 9], [1, 1, 176]], * Val accuracy / confusion: 60.58% / [[165, 39, 26], [43, 97, 35], [26, 36, 53]] ------------------------------ Epoch 996 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.050737 - Iter 024 / 025, Loss: 0.048614 * Train accuracy / confusion: 97.12% / [[356, 3, 1], [7, 254, 4], [5, 3, 167]], * Val accuracy / confusion: 60.19% / [[154, 50, 26], [47, 104, 24], [28, 32, 55]] ------------------------------ Epoch 997 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.083294 - Iter 024 / 025, Loss: 0.181888 * Train accuracy / confusion: 95.38% / [[337, 15, 2], [11, 253, 3], [1, 5, 173]], * Val accuracy / confusion: 55.96% / [[152, 50, 28], [61, 88, 26], [30, 34, 51]] ------------------------------ Epoch 998 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.039903 - Iter 024 / 025, Loss: 0.041827 * Train accuracy / confusion: 97.25% / [[355, 6, 0], [4, 259, 5], [5, 2, 164]], * Val accuracy / confusion: 58.08% / [[150, 50, 30], [44, 100, 31], [22, 41, 52]] ------------------------------ Epoch 999 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.062504 - Iter 024 / 025, Loss: 0.047922 * Train accuracy / confusion: 96.00% / [[344, 12, 2], [9, 253, 3], [2, 4, 171]], * Val accuracy / confusion: 59.23% / [[144, 59, 27], [40, 108, 27], [23, 36, 56]] ------------------------------ Epoch 1000 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.078188 - Iter 024 / 025, Loss: 0.105682 * Train accuracy / confusion: 97.25% / [[343, 7, 3], [10, 260, 0], [1, 1, 175]], * Val accuracy / confusion: 58.46% / [[149, 49, 32], [52, 103, 20], [24, 39, 52]] ------------------------------ Epoch 1001 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.037336 - Iter 024 / 025, Loss: 0.214351 * Train accuracy / confusion: 97.75% / [[353, 4, 0], [5, 261, 3], [3, 3, 168]], * Val accuracy / confusion: 58.65% / [[162, 44, 24], [57, 91, 27], [30, 33, 52]] ------------------------------ Epoch 1002 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.140465 - Iter 024 / 025, Loss: 0.031565 * Train accuracy / confusion: 96.38% / [[346, 8, 2], [8, 255, 4], [5, 2, 170]], * Val accuracy / confusion: 57.69% / [[152, 51, 27], [48, 98, 29], [27, 38, 50]] ------------------------------ Epoch 1003 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.128021 - Iter 024 / 025, Loss: 0.107963 * Train accuracy / confusion: 95.88% / [[346, 8, 2], [13, 250, 4], [4, 2, 171]], * Val accuracy / confusion: 57.88% / [[153, 44, 33], [50, 95, 30], [24, 38, 53]] ------------------------------ Epoch 1004 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.103771 - Iter 024 / 025, Loss: 0.009823 * Train accuracy / confusion: 97.38% / [[351, 7, 1], [7, 255, 3], [1, 2, 173]], * Val accuracy / confusion: 60.00% / [[162, 43, 25], [47, 91, 37], [27, 29, 59]] ------------------------------ Epoch 1005 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.094977 - Iter 024 / 025, Loss: 0.025714 * Train accuracy / confusion: 97.25% / [[348, 7, 1], [10, 257, 1], [2, 1, 173]], * Val accuracy / confusion: 58.08% / [[155, 44, 31], [52, 100, 23], [26, 42, 47]] ------------------------------ Epoch 1006 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.034227 - Iter 024 / 025, Loss: 0.118829 * Train accuracy / confusion: 97.00% / [[351, 5, 4], [8, 255, 4], [1, 2, 170]], * Val accuracy / confusion: 59.81% / [[161, 46, 23], [46, 94, 35], [33, 26, 56]] ------------------------------ Epoch 1007 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.054934 - Iter 024 / 025, Loss: 0.038193 * Train accuracy / confusion: 97.50% / [[350, 6, 0], [10, 262, 1], [0, 3, 168]], * Val accuracy / confusion: 58.08% / [[150, 52, 28], [49, 97, 29], [25, 35, 55]] ------------------------------ Epoch 1008 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.323999 - Iter 024 / 025, Loss: 0.085953 * Train accuracy / confusion: 95.88% / [[341, 9, 5], [7, 258, 4], [3, 5, 168]], * Val accuracy / confusion: 58.08% / [[139, 62, 29], [40, 99, 36], [24, 27, 64]] ------------------------------ Epoch 1009 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.109368 - Iter 024 / 025, Loss: 0.077022 * Train accuracy / confusion: 96.38% / [[347, 10, 2], [10, 254, 3], [2, 2, 170]], * Val accuracy / confusion: 57.88% / [[148, 51, 31], [43, 97, 35], [19, 40, 56]] ------------------------------ Epoch 1010 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.033483 - Iter 024 / 025, Loss: 0.227862 * Train accuracy / confusion: 97.12% / [[350, 5, 1], [8, 254, 2], [5, 2, 173]], * Val accuracy / confusion: 56.35% / [[151, 46, 33], [52, 91, 32], [32, 32, 51]] ------------------------------ Epoch 1011 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.162739 - Iter 024 / 025, Loss: 0.085849 * Train accuracy / confusion: 97.62% / [[350, 2, 3], [4, 256, 7], [1, 2, 175]], * Val accuracy / confusion: 57.50% / [[158, 48, 24], [52, 95, 28], [26, 43, 46]] ------------------------------ Epoch 1012 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.130811 - Iter 024 / 025, Loss: 0.199115 * Train accuracy / confusion: 96.75% / [[351, 6, 2], [6, 256, 5], [3, 4, 167]], * Val accuracy / confusion: 57.31% / [[150, 53, 27], [49, 96, 30], [23, 40, 52]] ------------------------------ Epoch 1013 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.110596 - Iter 024 / 025, Loss: 0.036996 * Train accuracy / confusion: 97.88% / [[352, 3, 1], [8, 257, 2], [1, 2, 174]], * Val accuracy / confusion: 58.85% / [[152, 45, 33], [42, 103, 30], [28, 36, 51]] ------------------------------ Epoch 1014 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.045533 - Iter 024 / 025, Loss: 0.336147 * Train accuracy / confusion: 95.62% / [[341, 8, 5], [12, 258, 2], [4, 4, 166]], * Val accuracy / confusion: 58.85% / [[149, 58, 23], [49, 106, 20], [25, 39, 51]] ------------------------------ Epoch 1015 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.056913 - Iter 024 / 025, Loss: 0.032653 * Train accuracy / confusion: 96.62% / [[345, 11, 1], [8, 259, 2], [1, 4, 169]], * Val accuracy / confusion: 56.15% / [[155, 51, 24], [60, 89, 26], [31, 36, 48]] ------------------------------ Epoch 1016 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.074857 - Iter 024 / 025, Loss: 0.033153 * Train accuracy / confusion: 96.50% / [[345, 9, 2], [10, 254, 4], [2, 1, 173]], * Val accuracy / confusion: 59.62% / [[167, 43, 20], [57, 93, 25], [30, 35, 50]] ------------------------------ Epoch 1017 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.028781 - Iter 024 / 025, Loss: 0.097545 * Train accuracy / confusion: 97.50% / [[351, 8, 3], [5, 260, 2], [1, 1, 169]], * Val accuracy / confusion: 61.54% / [[159, 46, 25], [49, 100, 26], [18, 36, 61]] ------------------------------ Epoch 1018 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.231690 - Iter 024 / 025, Loss: 0.018869 * Train accuracy / confusion: 96.50% / [[343, 11, 2], [8, 258, 3], [2, 2, 171]], * Val accuracy / confusion: 59.04% / [[160, 48, 22], [48, 94, 33], [26, 36, 53]] ------------------------------ Epoch 1019 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.105320 - Iter 024 / 025, Loss: 0.113359 * Train accuracy / confusion: 96.38% / [[347, 4, 1], [9, 252, 9], [2, 4, 172]], * Val accuracy / confusion: 56.92% / [[148, 60, 22], [54, 94, 27], [22, 39, 54]] ------------------------------ Epoch 1020 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.055100 - Iter 024 / 025, Loss: 0.043469 * Train accuracy / confusion: 97.12% / [[345, 7, 2], [8, 259, 2], [0, 4, 173]], * Val accuracy / confusion: 57.50% / [[149, 58, 23], [50, 105, 20], [23, 47, 45]] ------------------------------ Epoch 1021 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.139791 - Iter 024 / 025, Loss: 0.027830 * Train accuracy / confusion: 96.75% / [[350, 4, 2], [8, 255, 2], [5, 5, 169]], * Val accuracy / confusion: 57.69% / [[155, 50, 25], [54, 91, 30], [25, 36, 54]] ------------------------------ Epoch 1022 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.083020 - Iter 024 / 025, Loss: 0.103266 * Train accuracy / confusion: 97.12% / [[349, 7, 1], [9, 257, 2], [0, 4, 171]], * Val accuracy / confusion: 55.77% / [[148, 56, 26], [47, 92, 36], [19, 46, 50]] ------------------------------ Epoch 1023 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.133018 - Iter 024 / 025, Loss: 0.085239 * Train accuracy / confusion: 97.25% / [[349, 5, 3], [6, 258, 1], [3, 4, 171]], * Val accuracy / confusion: 60.19% / [[159, 43, 28], [48, 103, 24], [27, 37, 51]] ------------------------------ Epoch 1024 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.055359 - Iter 024 / 025, Loss: 0.092464 * Train accuracy / confusion: 96.62% / [[342, 8, 2], [9, 258, 3], [4, 1, 173]], * Val accuracy / confusion: 58.08% / [[161, 47, 22], [57, 91, 27], [25, 40, 50]] ------------------------------ Epoch 1025 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.042300 - Iter 024 / 025, Loss: 0.203754 * Train accuracy / confusion: 97.12% / [[343, 7, 1], [11, 259, 1], [2, 1, 175]], * Val accuracy / confusion: 60.00% / [[161, 39, 30], [54, 99, 22], [30, 33, 52]] ------------------------------ Epoch 1026 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.059022 - Iter 024 / 025, Loss: 0.073122 * Train accuracy / confusion: 97.50% / [[347, 11, 0], [6, 261, 2], [1, 0, 172]], * Val accuracy / confusion: 56.73% / [[147, 58, 25], [45, 103, 27], [33, 37, 45]] ------------------------------ Epoch 1027 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.023151 - Iter 024 / 025, Loss: 0.033047 * Train accuracy / confusion: 97.88% / [[348, 6, 2], [5, 262, 0], [3, 1, 173]], * Val accuracy / confusion: 58.85% / [[155, 50, 25], [46, 103, 26], [29, 38, 48]] ------------------------------ Epoch 1028 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.026572 - Iter 024 / 025, Loss: 0.082935 * Train accuracy / confusion: 96.50% / [[350, 6, 2], [10, 254, 4], [2, 4, 168]], * Val accuracy / confusion: 60.77% / [[167, 47, 16], [51, 99, 25], [29, 36, 50]] ------------------------------ Epoch 1029 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.020566 - Iter 024 / 025, Loss: 0.077718 * Train accuracy / confusion: 96.38% / [[347, 4, 5], [11, 256, 3], [3, 3, 168]], * Val accuracy / confusion: 60.96% / [[154, 54, 22], [46, 106, 23], [32, 26, 57]] ------------------------------ Epoch 1030 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.017608 - Iter 024 / 025, Loss: 0.111136 * Train accuracy / confusion: 97.50% / [[345, 8, 2], [4, 260, 1], [4, 1, 175]], * Val accuracy / confusion: 57.12% / [[148, 60, 22], [51, 101, 23], [25, 42, 48]] ------------------------------ Epoch 1031 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.054364 - Iter 024 / 025, Loss: 0.047671 * Train accuracy / confusion: 97.62% / [[355, 3, 1], [6, 259, 4], [3, 2, 167]], * Val accuracy / confusion: 61.35% / [[157, 44, 29], [50, 98, 27], [19, 32, 64]] ------------------------------ Epoch 1032 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.196074 - Iter 024 / 025, Loss: 0.014532 * Train accuracy / confusion: 96.00% / [[349, 7, 1], [8, 255, 6], [1, 9, 164]], * Val accuracy / confusion: 59.42% / [[161, 41, 28], [50, 91, 34], [36, 22, 57]] ------------------------------ Epoch 1033 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.054721 - Iter 024 / 025, Loss: 0.066581 * Train accuracy / confusion: 96.38% / [[350, 8, 5], [8, 247, 4], [2, 2, 174]], * Val accuracy / confusion: 56.92% / [[141, 53, 36], [40, 104, 31], [30, 34, 51]] ------------------------------ Epoch 1034 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.100516 - Iter 024 / 025, Loss: 0.045308 * Train accuracy / confusion: 95.62% / [[343, 14, 2], [10, 257, 1], [3, 5, 165]], * Val accuracy / confusion: 55.77% / [[148, 53, 29], [46, 94, 35], [28, 39, 48]] ------------------------------ Epoch 1035 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.035337 - Iter 024 / 025, Loss: 0.050998 * Train accuracy / confusion: 96.25% / [[350, 6, 3], [11, 252, 4], [3, 3, 168]], * Val accuracy / confusion: 58.27% / [[162, 41, 27], [54, 86, 35], [29, 31, 55]] ------------------------------ Epoch 1036 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.047362 - Iter 024 / 025, Loss: 0.025598 * Train accuracy / confusion: 96.25% / [[344, 7, 2], [7, 257, 6], [5, 3, 169]], * Val accuracy / confusion: 57.50% / [[153, 50, 27], [50, 88, 37], [27, 30, 58]] ------------------------------ Epoch 1037 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.149772 - Iter 024 / 025, Loss: 0.106329 * Train accuracy / confusion: 96.62% / [[345, 9, 1], [8, 257, 3], [1, 5, 171]], * Val accuracy / confusion: 58.27% / [[145, 59, 26], [48, 105, 22], [25, 37, 53]] ------------------------------ Epoch 1038 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.073441 - Iter 024 / 025, Loss: 0.079971 * Train accuracy / confusion: 97.75% / [[347, 4, 3], [5, 261, 4], [1, 1, 174]], * Val accuracy / confusion: 57.12% / [[151, 52, 27], [56, 97, 22], [30, 36, 49]] ------------------------------ Epoch 1039 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.098974 - Iter 024 / 025, Loss: 0.059507 * Train accuracy / confusion: 95.62% / [[347, 12, 2], [10, 249, 3], [4, 4, 169]], * Val accuracy / confusion: 58.85% / [[153, 52, 25], [45, 100, 30], [24, 38, 53]] ------------------------------ Epoch 1040 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.186163 - Iter 024 / 025, Loss: 0.016587 * Train accuracy / confusion: 96.25% / [[345, 10, 1], [9, 254, 6], [2, 2, 171]], * Val accuracy / confusion: 57.31% / [[158, 50, 22], [49, 94, 32], [31, 38, 46]] ------------------------------ Epoch 1041 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.094632 - Iter 024 / 025, Loss: 0.097989 * Train accuracy / confusion: 97.88% / [[353, 1, 4], [6, 257, 1], [1, 4, 173]], * Val accuracy / confusion: 61.35% / [[166, 35, 29], [50, 98, 27], [30, 30, 55]] ------------------------------ Epoch 1042 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.132201 - Iter 024 / 025, Loss: 0.088020 * Train accuracy / confusion: 96.00% / [[346, 8, 2], [11, 254, 3], [3, 5, 168]], * Val accuracy / confusion: 61.54% / [[158, 39, 33], [51, 102, 22], [24, 31, 60]] ------------------------------ Epoch 1043 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.068169 - Iter 024 / 025, Loss: 0.121507 * Train accuracy / confusion: 96.12% / [[344, 11, 3], [8, 254, 4], [2, 3, 171]], * Val accuracy / confusion: 59.04% / [[152, 51, 27], [50, 99, 26], [29, 30, 56]] ------------------------------ Epoch 1044 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.046133 - Iter 024 / 025, Loss: 0.093227 * Train accuracy / confusion: 96.88% / [[350, 5, 0], [11, 252, 4], [2, 3, 173]], * Val accuracy / confusion: 60.96% / [[163, 45, 22], [49, 105, 21], [26, 40, 49]] ------------------------------ Epoch 1045 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.069617 - Iter 024 / 025, Loss: 0.083212 * Train accuracy / confusion: 97.25% / [[346, 5, 0], [8, 256, 7], [1, 1, 176]], * Val accuracy / confusion: 60.77% / [[153, 49, 28], [46, 108, 21], [22, 38, 55]] ------------------------------ Epoch 1046 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.104458 - Iter 024 / 025, Loss: 0.124579 * Train accuracy / confusion: 96.88% / [[349, 8, 0], [8, 257, 2], [3, 4, 169]], * Val accuracy / confusion: 58.08% / [[137, 66, 27], [46, 103, 26], [28, 25, 62]] ------------------------------ Epoch 1047 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.059531 - Iter 024 / 025, Loss: 0.017087 * Train accuracy / confusion: 96.62% / [[348, 9, 1], [4, 261, 5], [3, 5, 164]], * Val accuracy / confusion: 57.88% / [[153, 52, 25], [51, 90, 34], [24, 33, 58]] ------------------------------ Epoch 1048 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.023401 - Iter 024 / 025, Loss: 0.123276 * Train accuracy / confusion: 96.12% / [[348, 11, 2], [11, 250, 4], [0, 3, 171]], * Val accuracy / confusion: 58.85% / [[151, 52, 27], [46, 101, 28], [28, 33, 54]] ------------------------------ Epoch 1049 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.067011 - Iter 024 / 025, Loss: 0.047097 * Train accuracy / confusion: 96.75% / [[347, 5, 4], [10, 252, 4], [1, 2, 175]], * Val accuracy / confusion: 58.65% / [[152, 47, 31], [50, 100, 25], [30, 32, 53]] ------------------------------ Epoch 1050 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.203818 - Iter 024 / 025, Loss: 0.078279 * Train accuracy / confusion: 96.75% / [[348, 8, 3], [7, 256, 3], [4, 1, 170]], * Val accuracy / confusion: 58.08% / [[150, 55, 25], [48, 99, 28], [27, 35, 53]] ------------------------------ Epoch 1051 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.186945 - Iter 024 / 025, Loss: 0.128962 * Train accuracy / confusion: 96.25% / [[349, 7, 0], [13, 251, 3], [3, 4, 170]], * Val accuracy / confusion: 61.15% / [[157, 51, 22], [44, 99, 32], [23, 30, 62]] ------------------------------ Epoch 1052 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.125967 - Iter 024 / 025, Loss: 0.170258 * Train accuracy / confusion: 95.75% / [[348, 8, 1], [5, 251, 10], [5, 5, 167]], * Val accuracy / confusion: 58.65% / [[148, 55, 27], [38, 101, 36], [25, 34, 56]] ------------------------------ Epoch 1053 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.044982 - Iter 024 / 025, Loss: 0.050225 * Train accuracy / confusion: 96.38% / [[343, 15, 0], [7, 258, 4], [1, 2, 170]], * Val accuracy / confusion: 60.58% / [[163, 43, 24], [43, 93, 39], [23, 33, 59]] ------------------------------ Epoch 1054 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.167344 - Iter 024 / 025, Loss: 0.025295 * Train accuracy / confusion: 96.38% / [[347, 5, 4], [10, 253, 2], [4, 4, 171]], * Val accuracy / confusion: 58.27% / [[146, 58, 26], [41, 104, 30], [29, 33, 53]] ------------------------------ Epoch 1055 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.130290 - Iter 024 / 025, Loss: 0.005211 * Train accuracy / confusion: 96.75% / [[348, 7, 1], [8, 255, 4], [2, 4, 171]], * Val accuracy / confusion: 58.65% / [[151, 45, 34], [49, 96, 30], [22, 35, 58]] ------------------------------ Epoch 1056 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016948 - Iter 024 / 025, Loss: 0.048221 * Train accuracy / confusion: 97.38% / [[353, 6, 1], [6, 253, 3], [3, 2, 173]], * Val accuracy / confusion: 58.08% / [[152, 59, 19], [49, 98, 28], [27, 36, 52]] ------------------------------ Epoch 1057 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.086174 - Iter 024 / 025, Loss: 0.005253 * Train accuracy / confusion: 96.88% / [[344, 7, 3], [5, 261, 2], [3, 5, 170]], * Val accuracy / confusion: 58.46% / [[149, 57, 24], [46, 100, 29], [29, 31, 55]] ------------------------------ Epoch 1058 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.089848 - Iter 024 / 025, Loss: 0.096389 * Train accuracy / confusion: 96.75% / [[350, 6, 3], [6, 253, 5], [5, 1, 171]], * Val accuracy / confusion: 59.42% / [[154, 56, 20], [41, 102, 32], [25, 37, 53]] ------------------------------ Epoch 1059 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.079966 - Iter 024 / 025, Loss: 0.043124 * Train accuracy / confusion: 97.50% / [[350, 2, 1], [6, 255, 7], [1, 3, 175]], * Val accuracy / confusion: 56.92% / [[143, 60, 27], [50, 100, 25], [21, 41, 53]] ------------------------------ Epoch 1060 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.141201 - Iter 024 / 025, Loss: 0.062506 * Train accuracy / confusion: 95.88% / [[343, 6, 4], [14, 253, 2], [2, 5, 171]], * Val accuracy / confusion: 59.23% / [[154, 50, 26], [47, 104, 24], [34, 31, 50]] ------------------------------ Epoch 1061 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.316167 - Iter 024 / 025, Loss: 0.053043 * Train accuracy / confusion: 96.88% / [[347, 6, 4], [7, 253, 3], [2, 3, 175]], * Val accuracy / confusion: 59.23% / [[144, 65, 21], [35, 112, 28], [26, 37, 52]] ------------------------------ Epoch 1062 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.279164 - Iter 024 / 025, Loss: 0.073354 * Train accuracy / confusion: 96.75% / [[351, 4, 1], [12, 252, 4], [1, 4, 171]], * Val accuracy / confusion: 58.46% / [[160, 52, 18], [51, 93, 31], [32, 32, 51]] ------------------------------ Epoch 1063 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.023145 - Iter 024 / 025, Loss: 0.124827 * Train accuracy / confusion: 97.25% / [[347, 7, 4], [7, 262, 1], [2, 1, 169]], * Val accuracy / confusion: 59.42% / [[153, 62, 15], [44, 103, 28], [27, 35, 53]] ------------------------------ Epoch 1064 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.012392 - Iter 024 / 025, Loss: 0.025322 * Train accuracy / confusion: 96.88% / [[347, 8, 2], [9, 258, 3], [2, 1, 170]], * Val accuracy / confusion: 60.96% / [[159, 53, 18], [55, 98, 22], [26, 29, 60]] ------------------------------ Epoch 1065 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.086973 - Iter 024 / 025, Loss: 0.065570 * Train accuracy / confusion: 96.75% / [[347, 7, 2], [7, 258, 4], [2, 4, 169]], * Val accuracy / confusion: 59.62% / [[159, 55, 16], [55, 95, 25], [25, 34, 56]] ------------------------------ Epoch 1066 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.101403 - Iter 024 / 025, Loss: 0.264799 * Train accuracy / confusion: 95.62% / [[342, 8, 6], [8, 256, 6], [2, 5, 167]], * Val accuracy / confusion: 58.65% / [[155, 52, 23], [54, 93, 28], [27, 31, 57]] ------------------------------ Epoch 1067 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.101383 - Iter 024 / 025, Loss: 0.138788 * Train accuracy / confusion: 95.50% / [[347, 7, 3], [11, 250, 6], [5, 4, 167]], * Val accuracy / confusion: 57.12% / [[162, 45, 23], [57, 82, 36], [26, 36, 53]] ------------------------------ Epoch 1068 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.073963 - Iter 024 / 025, Loss: 0.018653 * Train accuracy / confusion: 98.12% / [[357, 5, 0], [7, 254, 1], [1, 1, 174]], * Val accuracy / confusion: 59.62% / [[158, 48, 24], [52, 100, 23], [27, 36, 52]] ------------------------------ Epoch 1069 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016938 - Iter 024 / 025, Loss: 0.094272 * Train accuracy / confusion: 97.88% / [[345, 7, 0], [6, 262, 4], [0, 0, 176]], * Val accuracy / confusion: 58.27% / [[158, 49, 23], [55, 89, 31], [27, 32, 56]] ------------------------------ Epoch 1070 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.141385 - Iter 024 / 025, Loss: 0.070941 * Train accuracy / confusion: 97.38% / [[350, 6, 1], [8, 257, 1], [3, 2, 172]], * Val accuracy / confusion: 58.27% / [[159, 44, 27], [48, 96, 31], [30, 37, 48]] ------------------------------ Epoch 1071 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.090998 - Iter 024 / 025, Loss: 0.034996 * Train accuracy / confusion: 97.38% / [[352, 5, 2], [7, 252, 2], [2, 3, 175]], * Val accuracy / confusion: 57.69% / [[145, 64, 21], [49, 105, 21], [30, 35, 50]] ------------------------------ Epoch 1072 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.032690 - Iter 024 / 025, Loss: 0.241458 * Train accuracy / confusion: 96.62% / [[342, 6, 4], [10, 259, 2], [2, 3, 172]], * Val accuracy / confusion: 57.12% / [[148, 53, 29], [49, 92, 34], [20, 38, 57]] ------------------------------ Epoch 1073 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.034136 - Iter 024 / 025, Loss: 0.105649 * Train accuracy / confusion: 96.38% / [[345, 8, 3], [10, 257, 4], [3, 1, 169]], * Val accuracy / confusion: 57.50% / [[151, 50, 29], [40, 91, 44], [22, 36, 57]] ------------------------------ Epoch 1074 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.083918 - Iter 024 / 025, Loss: 0.064942 * Train accuracy / confusion: 95.75% / [[344, 8, 2], [13, 255, 6], [3, 2, 167]], * Val accuracy / confusion: 57.50% / [[163, 45, 22], [58, 86, 31], [30, 35, 50]] ------------------------------ Epoch 1075 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.047277 - Iter 024 / 025, Loss: 0.191114 * Train accuracy / confusion: 95.50% / [[344, 10, 4], [10, 253, 3], [4, 5, 167]], * Val accuracy / confusion: 58.08% / [[150, 59, 21], [44, 103, 28], [20, 46, 49]] ------------------------------ Epoch 1076 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.046269 - Iter 024 / 025, Loss: 0.135695 * Train accuracy / confusion: 96.62% / [[350, 6, 3], [12, 249, 2], [1, 3, 174]], * Val accuracy / confusion: 59.42% / [[150, 60, 20], [40, 108, 27], [29, 35, 51]] ------------------------------ Epoch 1077 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.010280 - Iter 024 / 025, Loss: 0.178414 * Train accuracy / confusion: 97.00% / [[343, 6, 3], [8, 259, 3], [3, 1, 174]], * Val accuracy / confusion: 59.04% / [[159, 46, 25], [50, 98, 27], [32, 33, 50]] ------------------------------ Epoch 1078 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.052603 - Iter 024 / 025, Loss: 0.098926 * Train accuracy / confusion: 96.62% / [[342, 12, 2], [6, 261, 3], [2, 2, 170]], * Val accuracy / confusion: 59.04% / [[153, 48, 29], [44, 105, 26], [25, 41, 49]] ------------------------------ Epoch 1079 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.020580 - Iter 024 / 025, Loss: 0.064135 * Train accuracy / confusion: 96.88% / [[349, 5, 2], [8, 254, 3], [4, 3, 172]], * Val accuracy / confusion: 59.42% / [[154, 51, 25], [50, 101, 24], [25, 36, 54]] ------------------------------ Epoch 1080 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.106874 - Iter 024 / 025, Loss: 0.101368 * Train accuracy / confusion: 97.25% / [[351, 5, 1], [5, 259, 4], [2, 5, 168]], * Val accuracy / confusion: 60.58% / [[157, 51, 22], [55, 100, 20], [26, 31, 58]] ------------------------------ Epoch 1081 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.100153 - Iter 024 / 025, Loss: 0.071178 * Train accuracy / confusion: 98.12% / [[352, 4, 1], [4, 261, 2], [1, 3, 172]], * Val accuracy / confusion: 57.50% / [[146, 59, 25], [41, 97, 37], [23, 36, 56]] ------------------------------ Epoch 1082 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.109030 - Iter 024 / 025, Loss: 0.094995 * Train accuracy / confusion: 96.38% / [[350, 6, 1], [9, 252, 6], [2, 5, 169]], * Val accuracy / confusion: 58.46% / [[152, 49, 29], [45, 95, 35], [27, 31, 57]] ------------------------------ Epoch 1083 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.071662 - Iter 024 / 025, Loss: 0.180038 * Train accuracy / confusion: 96.88% / [[349, 5, 1], [9, 259, 3], [2, 5, 167]], * Val accuracy / confusion: 59.04% / [[156, 46, 28], [51, 97, 27], [28, 33, 54]] ------------------------------ Epoch 1084 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.049660 - Iter 024 / 025, Loss: 0.042303 * Train accuracy / confusion: 96.88% / [[352, 7, 2], [9, 254, 2], [3, 2, 169]], * Val accuracy / confusion: 60.00% / [[155, 53, 22], [43, 101, 31], [24, 35, 56]] ------------------------------ Epoch 1085 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.034921 - Iter 024 / 025, Loss: 0.032661 * Train accuracy / confusion: 96.88% / [[346, 8, 2], [8, 261, 3], [2, 2, 168]], * Val accuracy / confusion: 59.42% / [[156, 46, 28], [37, 102, 36], [30, 34, 51]] ------------------------------ Epoch 1086 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016347 - Iter 024 / 025, Loss: 0.120749 * Train accuracy / confusion: 97.12% / [[346, 9, 1], [6, 257, 5], [0, 2, 174]], * Val accuracy / confusion: 59.23% / [[153, 51, 26], [49, 103, 23], [30, 33, 52]] ------------------------------ Epoch 1087 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.303561 - Iter 024 / 025, Loss: 0.170930 * Train accuracy / confusion: 96.12% / [[347, 7, 3], [14, 250, 3], [2, 2, 172]], * Val accuracy / confusion: 56.15% / [[148, 54, 28], [52, 95, 28], [33, 33, 49]] ------------------------------ Epoch 1088 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.324429 - Iter 024 / 025, Loss: 0.109169 * Train accuracy / confusion: 96.88% / [[337, 9, 4], [9, 260, 2], [0, 1, 178]], * Val accuracy / confusion: 58.85% / [[150, 49, 31], [45, 100, 30], [26, 33, 56]] ------------------------------ Epoch 1089 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.049561 - Iter 024 / 025, Loss: 0.110235 * Train accuracy / confusion: 96.62% / [[350, 5, 1], [6, 252, 7], [3, 5, 171]], * Val accuracy / confusion: 57.88% / [[153, 51, 26], [50, 99, 26], [34, 32, 49]] ------------------------------ Epoch 1090 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.017492 - Iter 024 / 025, Loss: 0.122543 * Train accuracy / confusion: 96.75% / [[350, 6, 2], [9, 257, 1], [6, 2, 167]], * Val accuracy / confusion: 56.73% / [[151, 55, 24], [59, 94, 22], [32, 33, 50]] ------------------------------ Epoch 1091 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.154172 - Iter 024 / 025, Loss: 0.027405 * Train accuracy / confusion: 97.00% / [[345, 7, 5], [7, 262, 1], [3, 1, 169]], * Val accuracy / confusion: 57.12% / [[148, 55, 27], [48, 97, 30], [28, 35, 52]] ------------------------------ Epoch 1092 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.030431 - Iter 024 / 025, Loss: 0.028103 * Train accuracy / confusion: 96.88% / [[347, 7, 4], [6, 258, 3], [3, 2, 170]], * Val accuracy / confusion: 60.96% / [[158, 49, 23], [50, 100, 25], [22, 34, 59]] ------------------------------ Epoch 1093 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.101501 - Iter 024 / 025, Loss: 0.157667 * Train accuracy / confusion: 96.62% / [[349, 6, 2], [7, 256, 4], [5, 3, 168]], * Val accuracy / confusion: 59.04% / [[155, 51, 24], [48, 99, 28], [29, 33, 53]] ------------------------------ Epoch 1094 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.040424 - Iter 024 / 025, Loss: 0.173489 * Train accuracy / confusion: 96.75% / [[347, 10, 1], [7, 259, 5], [2, 1, 168]], * Val accuracy / confusion: 58.65% / [[160, 48, 22], [55, 94, 26], [31, 33, 51]] ------------------------------ Epoch 1095 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.055391 - Iter 024 / 025, Loss: 0.084186 * Train accuracy / confusion: 96.75% / [[349, 3, 2], [11, 256, 3], [3, 4, 169]], * Val accuracy / confusion: 57.31% / [[153, 54, 23], [53, 93, 29], [24, 39, 52]] ------------------------------ Epoch 1096 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.011467 - Iter 024 / 025, Loss: 0.045978 * Train accuracy / confusion: 96.75% / [[348, 10, 1], [7, 259, 2], [1, 5, 167]], * Val accuracy / confusion: 58.27% / [[147, 52, 31], [45, 101, 29], [25, 35, 55]] ------------------------------ Epoch 1097 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.130243 - Iter 024 / 025, Loss: 0.109297 * Train accuracy / confusion: 96.50% / [[344, 9, 2], [7, 260, 2], [3, 5, 168]], * Val accuracy / confusion: 56.35% / [[159, 48, 23], [67, 79, 29], [26, 34, 55]] ------------------------------ Epoch 1098 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.046782 - Iter 024 / 025, Loss: 0.131368 * Train accuracy / confusion: 97.75% / [[352, 7, 1], [6, 260, 0], [1, 3, 170]], * Val accuracy / confusion: 58.46% / [[150, 56, 24], [52, 100, 23], [21, 40, 54]] ------------------------------ Epoch 1099 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.039556 - Iter 024 / 025, Loss: 0.011396 * Train accuracy / confusion: 96.50% / [[350, 7, 2], [6, 254, 5], [5, 3, 168]], * Val accuracy / confusion: 58.65% / [[148, 60, 22], [49, 104, 22], [29, 33, 53]] ------------------------------ Epoch 1100 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.130832 - Iter 024 / 025, Loss: 0.083909 * Train accuracy / confusion: 97.88% / [[349, 5, 3], [3, 264, 2], [1, 3, 170]], * Val accuracy / confusion: 56.73% / [[156, 51, 23], [50, 96, 29], [25, 47, 43]] ------------------------------ Epoch 1101 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.145726 - Iter 024 / 025, Loss: 0.112994 * Train accuracy / confusion: 97.25% / [[349, 2, 3], [9, 258, 1], [2, 5, 171]], * Val accuracy / confusion: 58.85% / [[159, 47, 24], [58, 96, 21], [34, 30, 51]] ------------------------------ Epoch 1102 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.105666 - Iter 024 / 025, Loss: 0.036152 * Train accuracy / confusion: 97.75% / [[358, 3, 1], [8, 252, 3], [1, 2, 172]], * Val accuracy / confusion: 58.46% / [[150, 52, 28], [49, 92, 34], [24, 29, 62]] ------------------------------ Epoch 1103 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.106077 - Iter 024 / 025, Loss: 0.098546 * Train accuracy / confusion: 96.75% / [[342, 7, 4], [11, 256, 1], [1, 2, 176]], * Val accuracy / confusion: 55.58% / [[143, 55, 32], [53, 88, 34], [24, 33, 58]] ------------------------------ Epoch 1104 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.102783 - Iter 024 / 025, Loss: 0.018492 * Train accuracy / confusion: 97.12% / [[349, 8, 1], [5, 257, 2], [2, 5, 171]], * Val accuracy / confusion: 56.35% / [[152, 55, 23], [49, 101, 25], [36, 39, 40]] ------------------------------ Epoch 1105 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.015202 - Iter 024 / 025, Loss: 0.132859 * Train accuracy / confusion: 97.12% / [[346, 8, 2], [11, 256, 1], [0, 1, 175]], * Val accuracy / confusion: 56.73% / [[154, 49, 27], [54, 86, 35], [32, 28, 55]] ------------------------------ Epoch 1106 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.033749 - Iter 024 / 025, Loss: 0.018553 * Train accuracy / confusion: 95.00% / [[340, 11, 2], [15, 250, 4], [2, 6, 170]], * Val accuracy / confusion: 57.31% / [[152, 40, 38], [47, 86, 42], [25, 30, 60]] ------------------------------ Epoch 1107 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.159888 - Iter 024 / 025, Loss: 0.068064 * Train accuracy / confusion: 95.88% / [[341, 9, 6], [10, 252, 5], [1, 2, 174]], * Val accuracy / confusion: 58.08% / [[150, 60, 20], [53, 91, 31], [25, 29, 61]] ------------------------------ Epoch 1108 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.089034 - Iter 024 / 025, Loss: 0.033494 * Train accuracy / confusion: 96.62% / [[352, 3, 4], [11, 253, 2], [4, 3, 168]], * Val accuracy / confusion: 55.38% / [[152, 54, 24], [49, 91, 35], [32, 38, 45]] ------------------------------ Epoch 1109 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016764 - Iter 024 / 025, Loss: 0.086063 * Train accuracy / confusion: 97.12% / [[351, 5, 0], [15, 255, 0], [1, 2, 171]], * Val accuracy / confusion: 56.35% / [[156, 51, 23], [64, 80, 31], [30, 28, 57]] ------------------------------ Epoch 1110 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.126067 - Iter 024 / 025, Loss: 0.030110 * Train accuracy / confusion: 97.75% / [[349, 7, 0], [8, 259, 2], [0, 1, 174]], * Val accuracy / confusion: 57.12% / [[164, 43, 23], [57, 88, 30], [40, 30, 45]] ------------------------------ Epoch 1111 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.134664 - Iter 024 / 025, Loss: 0.071347 * Train accuracy / confusion: 98.50% / [[350, 4, 1], [2, 265, 1], [3, 1, 173]], * Val accuracy / confusion: 57.69% / [[149, 53, 28], [50, 97, 28], [28, 33, 54]] ------------------------------ Epoch 1112 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.076984 - Iter 024 / 025, Loss: 0.033767 * Train accuracy / confusion: 97.00% / [[349, 6, 2], [6, 258, 4], [2, 4, 169]], * Val accuracy / confusion: 55.58% / [[143, 58, 29], [50, 99, 26], [31, 37, 47]] ------------------------------ Epoch 1113 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.023342 - Iter 024 / 025, Loss: 0.009460 * Train accuracy / confusion: 96.38% / [[343, 7, 4], [6, 260, 6], [2, 4, 168]], * Val accuracy / confusion: 57.50% / [[155, 45, 30], [57, 82, 36], [28, 25, 62]] ------------------------------ Epoch 1114 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.076016 - Iter 024 / 025, Loss: 0.200453 * Train accuracy / confusion: 97.00% / [[354, 5, 1], [5, 254, 5], [3, 5, 168]], * Val accuracy / confusion: 56.73% / [[150, 57, 23], [56, 93, 26], [36, 27, 52]] ------------------------------ Epoch 1115 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.065555 - Iter 024 / 025, Loss: 0.073792 * Train accuracy / confusion: 97.12% / [[347, 6, 3], [8, 263, 0], [1, 5, 167]], * Val accuracy / confusion: 56.73% / [[146, 48, 36], [49, 94, 32], [22, 38, 55]] ------------------------------ Epoch 1116 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.125637 - Iter 024 / 025, Loss: 0.097802 * Train accuracy / confusion: 97.25% / [[348, 8, 1], [8, 259, 1], [1, 3, 171]], * Val accuracy / confusion: 60.38% / [[153, 55, 22], [44, 102, 29], [25, 31, 59]] ------------------------------ Epoch 1117 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.011791 - Iter 024 / 025, Loss: 0.119054 * Train accuracy / confusion: 97.25% / [[351, 7, 0], [9, 253, 3], [3, 0, 174]], * Val accuracy / confusion: 58.46% / [[161, 49, 20], [54, 89, 32], [23, 38, 54]] ------------------------------ Epoch 1118 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.033188 - Iter 024 / 025, Loss: 0.120903 * Train accuracy / confusion: 96.62% / [[347, 6, 2], [13, 254, 3], [1, 2, 172]], * Val accuracy / confusion: 58.08% / [[156, 46, 28], [54, 90, 31], [26, 33, 56]] ------------------------------ Epoch 1119 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.283072 - Iter 024 / 025, Loss: 0.025176 * Train accuracy / confusion: 95.62% / [[343, 12, 2], [12, 251, 3], [3, 3, 171]], * Val accuracy / confusion: 60.38% / [[153, 46, 31], [48, 101, 26], [24, 31, 60]] ------------------------------ Epoch 1120 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.103813 - Iter 024 / 025, Loss: 0.096105 * Train accuracy / confusion: 97.50% / [[349, 3, 2], [7, 257, 4], [3, 1, 174]], * Val accuracy / confusion: 55.19% / [[139, 68, 23], [45, 95, 35], [22, 40, 53]] ------------------------------ Epoch 1121 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.074110 - Iter 024 / 025, Loss: 0.201911 * Train accuracy / confusion: 96.25% / [[347, 4, 4], [9, 256, 6], [3, 4, 167]], * Val accuracy / confusion: 60.96% / [[164, 49, 17], [41, 96, 38], [26, 32, 57]] ------------------------------ Epoch 1122 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.050174 - Iter 024 / 025, Loss: 0.085378 * Train accuracy / confusion: 97.62% / [[347, 7, 1], [7, 261, 0], [1, 3, 173]], * Val accuracy / confusion: 58.46% / [[149, 58, 23], [45, 102, 28], [22, 40, 53]] ------------------------------ Epoch 1123 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.051153 - Iter 024 / 025, Loss: 0.143902 * Train accuracy / confusion: 97.12% / [[348, 8, 2], [9, 254, 3], [0, 1, 175]], * Val accuracy / confusion: 58.08% / [[159, 45, 26], [51, 87, 37], [26, 33, 56]] ------------------------------ Epoch 1124 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.090361 - Iter 024 / 025, Loss: 0.111142 * Train accuracy / confusion: 96.88% / [[348, 6, 1], [10, 255, 4], [3, 1, 172]], * Val accuracy / confusion: 61.35% / [[157, 46, 27], [47, 110, 18], [25, 38, 52]] ------------------------------ Epoch 1125 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.039624 - Iter 024 / 025, Loss: 0.031690 * Train accuracy / confusion: 98.62% / [[352, 0, 0], [6, 262, 2], [0, 3, 175]], * Val accuracy / confusion: 57.12% / [[146, 60, 24], [50, 101, 24], [24, 41, 50]] ------------------------------ Epoch 1126 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.059783 - Iter 024 / 025, Loss: 0.097847 * Train accuracy / confusion: 97.12% / [[347, 9, 0], [7, 261, 2], [1, 4, 169]], * Val accuracy / confusion: 58.65% / [[144, 54, 32], [37, 103, 35], [17, 40, 58]] ------------------------------ Epoch 1127 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.129560 - Iter 024 / 025, Loss: 0.125106 * Train accuracy / confusion: 96.25% / [[341, 10, 2], [10, 258, 1], [3, 4, 171]], * Val accuracy / confusion: 56.73% / [[144, 48, 38], [48, 89, 38], [22, 31, 62]] ------------------------------ Epoch 1128 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.027588 - Iter 024 / 025, Loss: 0.098846 * Train accuracy / confusion: 97.88% / [[351, 8, 3], [2, 264, 1], [1, 2, 168]], * Val accuracy / confusion: 57.88% / [[149, 50, 31], [44, 102, 29], [27, 38, 50]] ------------------------------ Epoch 1129 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.071220 - Iter 024 / 025, Loss: 0.219726 * Train accuracy / confusion: 97.25% / [[351, 5, 1], [8, 254, 2], [2, 4, 173]], * Val accuracy / confusion: 57.88% / [[150, 51, 29], [50, 102, 23], [30, 36, 49]] ------------------------------ Epoch 1130 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.012159 - Iter 024 / 025, Loss: 0.074366 * Train accuracy / confusion: 97.50% / [[351, 7, 2], [7, 258, 2], [1, 1, 171]], * Val accuracy / confusion: 58.65% / [[155, 48, 27], [50, 97, 28], [28, 34, 53]] ------------------------------ Epoch 1131 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.124341 - Iter 024 / 025, Loss: 0.093949 * Train accuracy / confusion: 96.88% / [[347, 5, 3], [5, 258, 4], [5, 3, 170]], * Val accuracy / confusion: 57.31% / [[156, 46, 28], [56, 86, 33], [27, 32, 56]] ------------------------------ Epoch 1132 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.112669 - Iter 024 / 025, Loss: 0.082623 * Train accuracy / confusion: 97.25% / [[345, 7, 1], [4, 263, 3], [1, 6, 170]], * Val accuracy / confusion: 59.23% / [[151, 52, 27], [44, 97, 34], [27, 28, 60]] ------------------------------ Epoch 1133 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.190606 - Iter 024 / 025, Loss: 0.069322 * Train accuracy / confusion: 97.38% / [[353, 2, 1], [7, 253, 5], [2, 4, 173]], * Val accuracy / confusion: 57.69% / [[146, 53, 31], [44, 94, 37], [21, 34, 60]] ------------------------------ Epoch 1134 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.186644 - Iter 024 / 025, Loss: 0.023714 * Train accuracy / confusion: 97.75% / [[351, 5, 4], [5, 260, 0], [2, 2, 171]], * Val accuracy / confusion: 57.31% / [[144, 58, 28], [47, 98, 30], [27, 32, 56]] ------------------------------ Epoch 1135 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.033573 - Iter 024 / 025, Loss: 0.022736 * Train accuracy / confusion: 98.75% / [[349, 4, 1], [3, 266, 1], [1, 0, 175]], * Val accuracy / confusion: 60.00% / [[156, 46, 28], [59, 92, 24], [24, 27, 64]] ------------------------------ Epoch 1136 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.067642 - Iter 024 / 025, Loss: 0.137910 * Train accuracy / confusion: 97.62% / [[351, 6, 3], [6, 257, 1], [1, 2, 173]], * Val accuracy / confusion: 58.85% / [[164, 43, 23], [49, 96, 30], [36, 33, 46]] ------------------------------ Epoch 1137 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.100337 - Iter 024 / 025, Loss: 0.084116 * Train accuracy / confusion: 98.12% / [[347, 4, 3], [2, 268, 1], [2, 3, 170]], * Val accuracy / confusion: 59.81% / [[161, 46, 23], [54, 90, 31], [24, 31, 60]] ------------------------------ Epoch 1138 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.039401 - Iter 024 / 025, Loss: 0.105846 * Train accuracy / confusion: 96.38% / [[344, 3, 1], [13, 255, 5], [3, 4, 172]], * Val accuracy / confusion: 59.23% / [[149, 57, 24], [46, 104, 25], [25, 35, 55]] ------------------------------ Epoch 1139 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.074314 - Iter 024 / 025, Loss: 0.102744 * Train accuracy / confusion: 97.88% / [[351, 5, 1], [5, 261, 1], [2, 3, 171]], * Val accuracy / confusion: 60.19% / [[153, 54, 23], [46, 101, 28], [28, 28, 59]] ------------------------------ Epoch 1140 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.082456 - Iter 024 / 025, Loss: 0.057459 * Train accuracy / confusion: 97.38% / [[345, 5, 2], [7, 259, 2], [2, 3, 175]], * Val accuracy / confusion: 60.77% / [[162, 43, 25], [50, 96, 29], [27, 30, 58]] ------------------------------ Epoch 1141 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.065397 - Iter 024 / 025, Loss: 0.107256 * Train accuracy / confusion: 97.50% / [[353, 6, 1], [6, 260, 3], [2, 2, 167]], * Val accuracy / confusion: 58.08% / [[153, 47, 30], [48, 96, 31], [31, 31, 53]] ------------------------------ Epoch 1142 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.033476 - Iter 024 / 025, Loss: 0.081769 * Train accuracy / confusion: 96.25% / [[343, 10, 4], [8, 257, 3], [2, 3, 170]], * Val accuracy / confusion: 59.23% / [[156, 44, 30], [46, 97, 32], [27, 33, 55]] ------------------------------ Epoch 1143 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.026873 - Iter 024 / 025, Loss: 0.037846 * Train accuracy / confusion: 97.50% / [[343, 7, 0], [8, 260, 3], [1, 1, 177]], * Val accuracy / confusion: 62.88% / [[166, 40, 24], [54, 97, 24], [24, 27, 64]] ------------------------------ Epoch 1144 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.043779 - Iter 024 / 025, Loss: 0.129795 * Train accuracy / confusion: 96.75% / [[347, 6, 3], [10, 260, 4], [2, 1, 167]], * Val accuracy / confusion: 60.96% / [[158, 47, 25], [48, 100, 27], [27, 29, 59]] ------------------------------ Epoch 1145 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.033455 - Iter 024 / 025, Loss: 0.203216 * Train accuracy / confusion: 96.62% / [[343, 4, 2], [11, 257, 4], [3, 3, 173]], * Val accuracy / confusion: 56.92% / [[155, 44, 31], [50, 85, 40], [22, 37, 56]] ------------------------------ Epoch 1146 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.138877 - Iter 024 / 025, Loss: 0.045978 * Train accuracy / confusion: 96.00% / [[349, 7, 2], [10, 255, 5], [5, 3, 164]], * Val accuracy / confusion: 58.46% / [[155, 45, 30], [51, 95, 29], [30, 31, 54]] ------------------------------ Epoch 1147 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.078132 - Iter 024 / 025, Loss: 0.108249 * Train accuracy / confusion: 96.12% / [[340, 11, 3], [12, 256, 3], [1, 1, 173]], * Val accuracy / confusion: 58.27% / [[149, 53, 28], [52, 92, 31], [19, 34, 62]] ------------------------------ Epoch 1148 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.030276 - Iter 024 / 025, Loss: 0.016897 * Train accuracy / confusion: 97.50% / [[351, 5, 1], [8, 256, 1], [3, 2, 173]], * Val accuracy / confusion: 54.81% / [[145, 60, 25], [53, 87, 35], [27, 35, 53]] ------------------------------ Epoch 1149 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.068881 - Iter 024 / 025, Loss: 0.107921 * Train accuracy / confusion: 96.88% / [[349, 4, 3], [10, 254, 3], [2, 3, 172]], * Val accuracy / confusion: 58.85% / [[148, 57, 25], [43, 97, 35], [26, 28, 61]] ------------------------------ Epoch 1150 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.197421 - Iter 024 / 025, Loss: 0.097753 * Train accuracy / confusion: 97.38% / [[347, 8, 1], [6, 263, 1], [2, 3, 169]], * Val accuracy / confusion: 57.50% / [[147, 63, 20], [52, 98, 25], [30, 31, 54]] ------------------------------ Epoch 1151 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.165955 - Iter 024 / 025, Loss: 0.053574 * Train accuracy / confusion: 96.75% / [[348, 5, 6], [8, 260, 2], [4, 1, 166]], * Val accuracy / confusion: 57.50% / [[150, 53, 27], [47, 89, 39], [18, 37, 60]] ------------------------------ Epoch 1152 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.201176 - Iter 024 / 025, Loss: 0.054241 * Train accuracy / confusion: 95.62% / [[342, 11, 5], [9, 253, 5], [2, 3, 170]], * Val accuracy / confusion: 56.54% / [[155, 37, 38], [46, 80, 49], [24, 32, 59]] ------------------------------ Epoch 1153 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.028277 - Iter 024 / 025, Loss: 0.141975 * Train accuracy / confusion: 97.38% / [[347, 7, 4], [7, 261, 1], [0, 2, 171]], * Val accuracy / confusion: 57.50% / [[141, 60, 29], [43, 99, 33], [24, 32, 59]] ------------------------------ Epoch 1154 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.040256 - Iter 024 / 025, Loss: 0.098249 * Train accuracy / confusion: 96.25% / [[347, 5, 3], [12, 251, 5], [2, 3, 172]], * Val accuracy / confusion: 59.04% / [[159, 46, 25], [56, 93, 26], [30, 30, 55]] ------------------------------ Epoch 1155 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.025859 - Iter 024 / 025, Loss: 0.181632 * Train accuracy / confusion: 97.00% / [[349, 3, 5], [8, 258, 2], [4, 2, 169]], * Val accuracy / confusion: 57.50% / [[157, 48, 25], [57, 89, 29], [27, 35, 53]] ------------------------------ Epoch 1156 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.042629 - Iter 024 / 025, Loss: 0.140397 * Train accuracy / confusion: 98.50% / [[351, 0, 4], [5, 266, 0], [1, 2, 171]], * Val accuracy / confusion: 57.69% / [[151, 48, 31], [55, 95, 25], [23, 38, 54]] ------------------------------ Epoch 1157 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.038478 - Iter 024 / 025, Loss: 0.084392 * Train accuracy / confusion: 97.38% / [[349, 4, 2], [6, 263, 2], [3, 4, 167]], * Val accuracy / confusion: 58.65% / [[153, 48, 29], [50, 93, 32], [30, 26, 59]] ------------------------------ Epoch 1158 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.152537 - Iter 024 / 025, Loss: 0.055980 * Train accuracy / confusion: 96.88% / [[351, 3, 2], [9, 250, 7], [1, 3, 174]], * Val accuracy / confusion: 56.54% / [[151, 58, 21], [53, 87, 35], [30, 29, 56]] ------------------------------ Epoch 1159 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.076077 - Iter 024 / 025, Loss: 0.050405 * Train accuracy / confusion: 96.62% / [[344, 7, 2], [9, 259, 1], [5, 3, 170]], * Val accuracy / confusion: 58.08% / [[148, 54, 28], [49, 96, 30], [27, 30, 58]] ------------------------------ Epoch 1160 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.018279 - Iter 024 / 025, Loss: 0.228892 * Train accuracy / confusion: 97.75% / [[350, 6, 1], [7, 260, 1], [1, 2, 172]], * Val accuracy / confusion: 58.65% / [[151, 53, 26], [43, 99, 33], [30, 30, 55]] ------------------------------ Epoch 1161 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.040381 - Iter 024 / 025, Loss: 0.070385 * Train accuracy / confusion: 96.50% / [[341, 6, 4], [8, 260, 3], [5, 2, 171]], * Val accuracy / confusion: 60.58% / [[159, 57, 14], [50, 98, 27], [25, 32, 58]] ------------------------------ Epoch 1162 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.134417 - Iter 024 / 025, Loss: 0.015951 * Train accuracy / confusion: 97.12% / [[352, 4, 2], [8, 257, 5], [0, 4, 168]], * Val accuracy / confusion: 56.35% / [[145, 49, 36], [49, 85, 41], [28, 24, 63]] ------------------------------ Epoch 1163 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.101256 - Iter 024 / 025, Loss: 0.061280 * Train accuracy / confusion: 97.12% / [[350, 9, 1], [6, 259, 1], [3, 3, 168]], * Val accuracy / confusion: 57.12% / [[155, 43, 32], [48, 85, 42], [25, 33, 57]] ------------------------------ Epoch 1164 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.073518 - Iter 024 / 025, Loss: 0.112776 * Train accuracy / confusion: 97.75% / [[346, 7, 0], [8, 262, 0], [3, 0, 174]], * Val accuracy / confusion: 55.58% / [[153, 47, 30], [53, 86, 36], [28, 37, 50]] ------------------------------ Epoch 1165 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.064503 - Iter 024 / 025, Loss: 0.182729 * Train accuracy / confusion: 97.38% / [[344, 7, 2], [6, 257, 3], [1, 2, 178]], * Val accuracy / confusion: 60.00% / [[156, 45, 29], [49, 98, 28], [30, 27, 58]] ------------------------------ Epoch 1166 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.010687 - Iter 024 / 025, Loss: 0.038199 * Train accuracy / confusion: 97.00% / [[347, 11, 2], [7, 255, 2], [1, 1, 174]], * Val accuracy / confusion: 57.31% / [[156, 49, 25], [53, 92, 30], [25, 40, 50]] ------------------------------ Epoch 1167 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.088223 - Iter 024 / 025, Loss: 0.034602 * Train accuracy / confusion: 97.75% / [[350, 5, 2], [5, 260, 2], [1, 3, 172]], * Val accuracy / confusion: 56.73% / [[153, 55, 22], [52, 92, 31], [25, 40, 50]] ------------------------------ Epoch 1168 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.156903 - Iter 024 / 025, Loss: 0.184627 * Train accuracy / confusion: 97.12% / [[353, 7, 5], [7, 253, 2], [0, 2, 171]], * Val accuracy / confusion: 55.19% / [[150, 52, 28], [50, 87, 38], [26, 39, 50]] ------------------------------ Epoch 1169 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.129601 - Iter 024 / 025, Loss: 0.043954 * Train accuracy / confusion: 95.88% / [[342, 10, 3], [11, 255, 2], [3, 4, 170]], * Val accuracy / confusion: 58.46% / [[158, 43, 29], [52, 91, 32], [26, 34, 55]] ------------------------------ Epoch 1170 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.055088 - Iter 024 / 025, Loss: 0.118995 * Train accuracy / confusion: 97.38% / [[346, 9, 0], [7, 258, 1], [2, 2, 175]], * Val accuracy / confusion: 57.88% / [[149, 54, 27], [50, 96, 29], [27, 32, 56]] ------------------------------ Epoch 1171 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.123683 - Iter 024 / 025, Loss: 0.246985 * Train accuracy / confusion: 96.88% / [[344, 7, 1], [11, 259, 1], [1, 4, 172]], * Val accuracy / confusion: 60.77% / [[163, 41, 26], [46, 101, 28], [28, 35, 52]] ------------------------------ Epoch 1172 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.056043 - Iter 024 / 025, Loss: 0.017170 * Train accuracy / confusion: 97.38% / [[351, 4, 1], [8, 255, 4], [1, 3, 173]], * Val accuracy / confusion: 54.42% / [[150, 59, 21], [51, 87, 37], [27, 42, 46]] ------------------------------ Epoch 1173 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.024996 - Iter 024 / 025, Loss: 0.091285 * Train accuracy / confusion: 96.62% / [[343, 6, 3], [9, 260, 0], [3, 6, 170]], * Val accuracy / confusion: 57.31% / [[152, 48, 30], [48, 88, 39], [31, 26, 58]] ------------------------------ Epoch 1174 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.074979 - Iter 024 / 025, Loss: 0.088401 * Train accuracy / confusion: 97.38% / [[353, 6, 1], [5, 254, 4], [2, 3, 172]], * Val accuracy / confusion: 59.42% / [[146, 50, 34], [37, 101, 37], [18, 35, 62]] ------------------------------ Epoch 1175 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.014386 - Iter 024 / 025, Loss: 0.174287 * Train accuracy / confusion: 97.12% / [[346, 6, 2], [8, 260, 2], [3, 2, 171]], * Val accuracy / confusion: 57.50% / [[151, 43, 36], [49, 91, 35], [25, 33, 57]] ------------------------------ Epoch 1176 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.144507 - Iter 024 / 025, Loss: 0.015729 * Train accuracy / confusion: 97.12% / [[343, 9, 1], [6, 264, 4], [1, 2, 170]], * Val accuracy / confusion: 58.46% / [[154, 47, 29], [46, 99, 30], [27, 37, 51]] ------------------------------ Epoch 1177 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.077391 - Iter 024 / 025, Loss: 0.028276 * Train accuracy / confusion: 97.88% / [[348, 4, 2], [5, 262, 1], [3, 2, 173]], * Val accuracy / confusion: 60.58% / [[162, 39, 29], [45, 93, 37], [23, 32, 60]] ------------------------------ Epoch 1178 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.011514 - Iter 024 / 025, Loss: 0.065061 * Train accuracy / confusion: 98.00% / [[350, 2, 2], [9, 262, 2], [0, 1, 172]], * Val accuracy / confusion: 60.96% / [[162, 48, 20], [52, 99, 24], [28, 31, 56]] ------------------------------ Epoch 1179 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.209386 - Iter 024 / 025, Loss: 0.044465 * Train accuracy / confusion: 97.12% / [[348, 6, 2], [6, 255, 4], [3, 2, 174]], * Val accuracy / confusion: 59.04% / [[159, 44, 27], [56, 91, 28], [23, 35, 57]] ------------------------------ Epoch 1180 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.049713 - Iter 024 / 025, Loss: 0.045041 * Train accuracy / confusion: 97.00% / [[349, 4, 1], [12, 260, 1], [4, 2, 167]], * Val accuracy / confusion: 58.27% / [[159, 35, 36], [44, 92, 39], [30, 33, 52]] ------------------------------ Epoch 1181 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.135266 - Iter 024 / 025, Loss: 0.061756 * Train accuracy / confusion: 97.38% / [[348, 6, 2], [8, 258, 3], [1, 1, 173]], * Val accuracy / confusion: 60.00% / [[149, 51, 30], [39, 110, 26], [28, 34, 53]] ------------------------------ Epoch 1182 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.036017 - Iter 024 / 025, Loss: 0.087121 * Train accuracy / confusion: 97.12% / [[344, 9, 1], [6, 261, 0], [3, 4, 172]], * Val accuracy / confusion: 55.77% / [[148, 57, 25], [44, 90, 41], [24, 39, 52]] ------------------------------ Epoch 1183 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.062266 - Iter 024 / 025, Loss: 0.025851 * Train accuracy / confusion: 97.62% / [[350, 5, 2], [4, 266, 1], [3, 4, 165]], * Val accuracy / confusion: 57.69% / [[149, 49, 32], [47, 95, 33], [26, 33, 56]] ------------------------------ Epoch 1184 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.053617 - Iter 024 / 025, Loss: 0.039546 * Train accuracy / confusion: 96.88% / [[349, 8, 3], [7, 256, 3], [2, 2, 170]], * Val accuracy / confusion: 56.54% / [[145, 57, 28], [49, 94, 32], [22, 38, 55]] ------------------------------ Epoch 1185 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.031168 - Iter 024 / 025, Loss: 0.020456 * Train accuracy / confusion: 97.12% / [[344, 5, 3], [7, 260, 1], [2, 5, 173]], * Val accuracy / confusion: 60.19% / [[162, 48, 20], [49, 101, 25], [29, 36, 50]] ------------------------------ Epoch 1186 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.039821 - Iter 024 / 025, Loss: 0.134486 * Train accuracy / confusion: 97.12% / [[352, 7, 0], [9, 260, 1], [6, 0, 165]], * Val accuracy / confusion: 56.73% / [[158, 43, 29], [62, 80, 33], [28, 30, 57]] ------------------------------ Epoch 1187 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.099250 - Iter 024 / 025, Loss: 0.059551 * Train accuracy / confusion: 96.50% / [[345, 9, 4], [8, 256, 3], [4, 0, 171]], * Val accuracy / confusion: 57.12% / [[157, 39, 34], [55, 85, 35], [29, 31, 55]] ------------------------------ Epoch 1188 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.092928 - Iter 024 / 025, Loss: 0.042061 * Train accuracy / confusion: 96.88% / [[346, 11, 3], [6, 260, 2], [1, 2, 169]], * Val accuracy / confusion: 60.00% / [[149, 52, 29], [34, 107, 34], [26, 33, 56]] ------------------------------ Epoch 1189 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.018324 - Iter 024 / 025, Loss: 0.104682 * Train accuracy / confusion: 98.50% / [[348, 6, 0], [4, 265, 0], [1, 1, 175]], * Val accuracy / confusion: 59.62% / [[162, 44, 24], [50, 95, 30], [36, 26, 53]] ------------------------------ Epoch 1190 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.202196 - Iter 024 / 025, Loss: 0.039640 * Train accuracy / confusion: 97.38% / [[351, 3, 3], [12, 253, 2], [0, 1, 175]], * Val accuracy / confusion: 60.38% / [[157, 45, 28], [40, 100, 35], [26, 32, 57]] ------------------------------ Epoch 1191 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.023893 - Iter 024 / 025, Loss: 0.012621 * Train accuracy / confusion: 98.00% / [[349, 2, 4], [3, 263, 4], [2, 1, 172]], * Val accuracy / confusion: 58.85% / [[154, 55, 21], [49, 98, 28], [31, 30, 54]] ------------------------------ Epoch 1192 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.033602 - Iter 024 / 025, Loss: 0.024599 * Train accuracy / confusion: 96.62% / [[346, 8, 2], [8, 259, 3], [2, 4, 168]], * Val accuracy / confusion: 58.65% / [[155, 51, 24], [52, 93, 30], [25, 33, 57]] ------------------------------ Epoch 1193 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.094339 - Iter 024 / 025, Loss: 0.122102 * Train accuracy / confusion: 97.12% / [[349, 6, 4], [9, 256, 1], [1, 2, 172]], * Val accuracy / confusion: 58.08% / [[151, 53, 26], [39, 102, 34], [26, 40, 49]] ------------------------------ Epoch 1194 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.034138 - Iter 024 / 025, Loss: 0.033715 * Train accuracy / confusion: 97.12% / [[342, 9, 2], [4, 260, 5], [1, 2, 175]], * Val accuracy / confusion: 58.08% / [[160, 39, 31], [57, 83, 35], [23, 33, 59]] ------------------------------ Epoch 1195 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.066456 - Iter 024 / 025, Loss: 0.060201 * Train accuracy / confusion: 97.62% / [[353, 4, 0], [10, 254, 1], [2, 2, 174]], * Val accuracy / confusion: 57.31% / [[156, 46, 28], [48, 88, 39], [27, 34, 54]] ------------------------------ Epoch 1196 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.183650 - Iter 024 / 025, Loss: 0.051666 * Train accuracy / confusion: 96.88% / [[344, 8, 4], [7, 260, 1], [2, 3, 171]], * Val accuracy / confusion: 59.23% / [[152, 52, 26], [48, 100, 27], [26, 33, 56]] ------------------------------ Epoch 1197 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.034828 - Iter 024 / 025, Loss: 0.073623 * Train accuracy / confusion: 98.25% / [[350, 3, 2], [4, 263, 1], [1, 3, 173]], * Val accuracy / confusion: 57.50% / [[151, 53, 26], [52, 89, 34], [22, 34, 59]] ------------------------------ Epoch 1198 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.113402 - Iter 024 / 025, Loss: 0.090773 * Train accuracy / confusion: 97.25% / [[348, 4, 2], [7, 256, 3], [5, 1, 174]], * Val accuracy / confusion: 60.58% / [[160, 43, 27], [53, 99, 23], [30, 29, 56]] ------------------------------ Epoch 1199 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.052513 - Iter 024 / 025, Loss: 0.059720 * Train accuracy / confusion: 97.50% / [[347, 6, 3], [7, 260, 2], [0, 2, 173]], * Val accuracy / confusion: 56.92% / [[148, 52, 30], [48, 92, 35], [21, 38, 56]] ------------------------------ Epoch 1200 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.039901 - Iter 024 / 025, Loss: 0.121258 * Train accuracy / confusion: 96.88% / [[352, 5, 0], [10, 255, 4], [3, 3, 168]], * Val accuracy / confusion: 59.81% / [[163, 46, 21], [45, 93, 37], [31, 29, 55]] ------------------------------ Epoch 1201 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.089174 - Iter 024 / 025, Loss: 0.051899 * Train accuracy / confusion: 96.38% / [[349, 8, 3], [7, 249, 5], [1, 5, 173]], * Val accuracy / confusion: 59.42% / [[165, 40, 25], [59, 93, 23], [29, 35, 51]] ------------------------------ Epoch 1202 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018711 - Iter 024 / 025, Loss: 0.145276 * Train accuracy / confusion: 96.88% / [[350, 7, 1], [11, 255, 2], [3, 1, 170]], * Val accuracy / confusion: 56.54% / [[151, 54, 25], [56, 86, 33], [24, 34, 57]] ------------------------------ Epoch 1203 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.054917 - Iter 024 / 025, Loss: 0.086412 * Train accuracy / confusion: 97.88% / [[348, 5, 2], [5, 261, 2], [0, 3, 174]], * Val accuracy / confusion: 58.08% / [[151, 52, 27], [46, 98, 31], [31, 31, 53]] ------------------------------ Epoch 1204 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.008314 - Iter 024 / 025, Loss: 0.076913 * Train accuracy / confusion: 97.12% / [[345, 9, 0], [9, 260, 2], [2, 1, 172]], * Val accuracy / confusion: 59.42% / [[157, 51, 22], [51, 100, 24], [25, 38, 52]] ------------------------------ Epoch 1205 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.035276 - Iter 024 / 025, Loss: 0.102294 * Train accuracy / confusion: 98.12% / [[353, 5, 0], [5, 262, 3], [0, 2, 170]], * Val accuracy / confusion: 55.19% / [[150, 47, 33], [56, 85, 34], [28, 35, 52]] ------------------------------ Epoch 1206 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.259827 - Iter 024 / 025, Loss: 0.079454 * Train accuracy / confusion: 97.50% / [[350, 5, 1], [9, 258, 2], [2, 1, 172]], * Val accuracy / confusion: 60.77% / [[164, 41, 25], [44, 96, 35], [28, 31, 56]] ------------------------------ Epoch 1207 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.082864 - Iter 024 / 025, Loss: 0.128403 * Train accuracy / confusion: 97.75% / [[351, 5, 2], [6, 258, 2], [1, 2, 173]], * Val accuracy / confusion: 58.85% / [[164, 39, 27], [59, 83, 33], [24, 32, 59]] ------------------------------ Epoch 1208 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009997 - Iter 024 / 025, Loss: 0.110852 * Train accuracy / confusion: 98.12% / [[352, 5, 0], [6, 259, 1], [2, 1, 174]], * Val accuracy / confusion: 60.96% / [[160, 37, 33], [52, 102, 21], [30, 30, 55]] ------------------------------ Epoch 1209 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.014839 - Iter 024 / 025, Loss: 0.052707 * Train accuracy / confusion: 96.75% / [[344, 8, 3], [8, 257, 2], [2, 3, 173]], * Val accuracy / confusion: 58.85% / [[155, 50, 25], [46, 98, 31], [27, 35, 53]] ------------------------------ Epoch 1210 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.086523 - Iter 024 / 025, Loss: 0.088249 * Train accuracy / confusion: 97.00% / [[344, 7, 0], [8, 259, 4], [1, 4, 173]], * Val accuracy / confusion: 58.27% / [[159, 45, 26], [57, 92, 26], [29, 34, 52]] ------------------------------ Epoch 1211 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.027477 - Iter 024 / 025, Loss: 0.020958 * Train accuracy / confusion: 97.50% / [[346, 5, 3], [9, 259, 1], [2, 0, 175]], * Val accuracy / confusion: 59.42% / [[158, 46, 26], [53, 95, 27], [19, 40, 56]] ------------------------------ Epoch 1212 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.084023 - Iter 024 / 025, Loss: 0.042568 * Train accuracy / confusion: 97.00% / [[347, 4, 3], [9, 257, 2], [2, 4, 172]], * Val accuracy / confusion: 57.69% / [[156, 52, 22], [54, 90, 31], [27, 34, 54]] ------------------------------ Epoch 1213 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.163155 - Iter 024 / 025, Loss: 0.087121 * Train accuracy / confusion: 96.75% / [[342, 5, 3], [8, 260, 5], [2, 3, 172]], * Val accuracy / confusion: 56.54% / [[157, 49, 24], [57, 88, 30], [26, 40, 49]] ------------------------------ Epoch 1214 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.035168 - Iter 024 / 025, Loss: 0.203955 * Train accuracy / confusion: 97.62% / [[350, 6, 1], [8, 257, 2], [1, 1, 174]], * Val accuracy / confusion: 58.65% / [[146, 54, 30], [50, 99, 26], [17, 38, 60]] ------------------------------ Epoch 1215 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.092276 - Iter 024 / 025, Loss: 0.015633 * Train accuracy / confusion: 97.25% / [[348, 6, 2], [9, 260, 2], [3, 0, 170]], * Val accuracy / confusion: 57.12% / [[158, 48, 24], [58, 89, 28], [25, 40, 50]] ------------------------------ Epoch 1216 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.111485 - Iter 024 / 025, Loss: 0.123557 * Train accuracy / confusion: 97.88% / [[354, 4, 0], [4, 260, 3], [3, 3, 169]], * Val accuracy / confusion: 60.19% / [[157, 47, 26], [45, 99, 31], [28, 30, 57]] ------------------------------ Epoch 1217 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.074099 - Iter 024 / 025, Loss: 0.047684 * Train accuracy / confusion: 97.88% / [[352, 6, 1], [8, 258, 1], [1, 0, 173]], * Val accuracy / confusion: 58.08% / [[146, 57, 27], [43, 102, 30], [25, 36, 54]] ------------------------------ Epoch 1218 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.211402 - Iter 024 / 025, Loss: 0.061856 * Train accuracy / confusion: 96.50% / [[351, 9, 1], [12, 250, 2], [0, 4, 171]], * Val accuracy / confusion: 57.88% / [[159, 40, 31], [49, 96, 30], [29, 40, 46]] ------------------------------ Epoch 1219 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004701 - Iter 024 / 025, Loss: 0.058326 * Train accuracy / confusion: 97.62% / [[350, 6, 2], [5, 253, 4], [1, 1, 178]], * Val accuracy / confusion: 56.92% / [[149, 56, 25], [54, 96, 25], [28, 36, 51]] ------------------------------ Epoch 1220 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018231 - Iter 024 / 025, Loss: 0.042929 * Train accuracy / confusion: 97.88% / [[351, 2, 0], [5, 262, 4], [3, 3, 170]], * Val accuracy / confusion: 59.81% / [[167, 46, 17], [52, 92, 31], [30, 33, 52]] ------------------------------ Epoch 1221 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.086355 - Iter 024 / 025, Loss: 0.135725 * Train accuracy / confusion: 98.00% / [[354, 4, 3], [4, 257, 4], [0, 1, 173]], * Val accuracy / confusion: 59.23% / [[147, 47, 36], [42, 106, 27], [25, 35, 55]] ------------------------------ Epoch 1222 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.025434 - Iter 024 / 025, Loss: 0.050989 * Train accuracy / confusion: 97.38% / [[348, 6, 0], [7, 258, 3], [2, 3, 173]], * Val accuracy / confusion: 57.31% / [[146, 53, 31], [52, 96, 27], [24, 35, 56]] ------------------------------ Epoch 1223 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.281019 - Iter 024 / 025, Loss: 0.167728 * Train accuracy / confusion: 97.75% / [[354, 2, 6], [5, 256, 3], [1, 1, 172]], * Val accuracy / confusion: 61.15% / [[158, 45, 27], [47, 101, 27], [21, 35, 59]] ------------------------------ Epoch 1224 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.083621 - Iter 024 / 025, Loss: 0.184000 * Train accuracy / confusion: 98.00% / [[348, 4, 2], [6, 262, 2], [0, 2, 174]], * Val accuracy / confusion: 57.88% / [[153, 50, 27], [46, 97, 32], [23, 41, 51]] ------------------------------ Epoch 1225 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.160212 - Iter 024 / 025, Loss: 0.043266 * Train accuracy / confusion: 97.50% / [[354, 4, 1], [4, 257, 6], [2, 3, 169]], * Val accuracy / confusion: 60.38% / [[157, 47, 26], [47, 101, 27], [29, 30, 56]] ------------------------------ Epoch 1226 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.060696 - Iter 024 / 025, Loss: 0.048463 * Train accuracy / confusion: 98.25% / [[356, 3, 1], [6, 257, 2], [2, 0, 173]], * Val accuracy / confusion: 57.31% / [[148, 53, 29], [46, 94, 35], [27, 32, 56]] ------------------------------ Epoch 1227 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018460 - Iter 024 / 025, Loss: 0.088906 * Train accuracy / confusion: 97.62% / [[351, 5, 3], [9, 258, 1], [0, 1, 172]], * Val accuracy / confusion: 55.38% / [[147, 52, 31], [53, 91, 31], [22, 43, 50]] ------------------------------ Epoch 1228 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.073197 - Iter 024 / 025, Loss: 0.109937 * Train accuracy / confusion: 97.25% / [[354, 3, 1], [11, 253, 4], [3, 0, 171]], * Val accuracy / confusion: 58.27% / [[159, 42, 29], [54, 87, 34], [24, 34, 57]] ------------------------------ Epoch 1229 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.191049 - Iter 024 / 025, Loss: 0.041171 * Train accuracy / confusion: 97.38% / [[346, 8, 2], [4, 261, 3], [3, 1, 172]], * Val accuracy / confusion: 60.38% / [[155, 48, 27], [47, 102, 26], [25, 33, 57]] ------------------------------ Epoch 1230 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.042831 - Iter 024 / 025, Loss: 0.045450 * Train accuracy / confusion: 98.62% / [[357, 1, 0], [4, 257, 5], [0, 1, 175]], * Val accuracy / confusion: 57.69% / [[153, 51, 26], [50, 94, 31], [28, 34, 53]] ------------------------------ Epoch 1231 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.102342 - Iter 024 / 025, Loss: 0.014418 * Train accuracy / confusion: 97.25% / [[346, 6, 4], [4, 262, 1], [2, 5, 170]], * Val accuracy / confusion: 58.85% / [[159, 40, 31], [58, 93, 24], [29, 32, 54]] ------------------------------ Epoch 1232 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.026659 - Iter 024 / 025, Loss: 0.243513 * Train accuracy / confusion: 97.12% / [[346, 10, 2], [6, 257, 2], [2, 1, 174]], * Val accuracy / confusion: 58.65% / [[158, 48, 24], [46, 93, 36], [28, 33, 54]] ------------------------------ Epoch 1233 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010802 - Iter 024 / 025, Loss: 0.156326 * Train accuracy / confusion: 98.00% / [[346, 4, 0], [7, 263, 1], [1, 3, 175]], * Val accuracy / confusion: 59.42% / [[154, 47, 29], [40, 102, 33], [24, 38, 53]] ------------------------------ Epoch 1234 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.021981 - Iter 024 / 025, Loss: 0.007806 * Train accuracy / confusion: 96.88% / [[342, 7, 1], [10, 261, 3], [1, 3, 172]], * Val accuracy / confusion: 59.23% / [[162, 46, 22], [50, 92, 33], [23, 38, 54]] ------------------------------ Epoch 1235 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.099793 - Iter 024 / 025, Loss: 0.099672 * Train accuracy / confusion: 97.62% / [[356, 2, 1], [7, 259, 1], [4, 4, 166]], * Val accuracy / confusion: 57.31% / [[148, 56, 26], [42, 98, 35], [28, 35, 52]] ------------------------------ Epoch 1236 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.019487 - Iter 024 / 025, Loss: 0.038754 * Train accuracy / confusion: 97.62% / [[345, 7, 3], [5, 258, 2], [2, 0, 178]], * Val accuracy / confusion: 58.85% / [[155, 44, 31], [51, 97, 27], [33, 28, 54]] ------------------------------ Epoch 1237 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.068895 - Iter 024 / 025, Loss: 0.053854 * Train accuracy / confusion: 97.38% / [[349, 4, 3], [3, 261, 3], [4, 4, 169]], * Val accuracy / confusion: 58.46% / [[154, 53, 23], [51, 99, 25], [31, 33, 51]] ------------------------------ Epoch 1238 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.088758 - Iter 024 / 025, Loss: 0.045943 * Train accuracy / confusion: 97.38% / [[346, 7, 2], [5, 264, 1], [3, 3, 169]], * Val accuracy / confusion: 57.69% / [[160, 45, 25], [44, 92, 39], [33, 34, 48]] ------------------------------ Epoch 1239 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.079509 - Iter 024 / 025, Loss: 0.103456 * Train accuracy / confusion: 98.12% / [[351, 5, 1], [5, 263, 1], [1, 2, 171]], * Val accuracy / confusion: 57.12% / [[148, 47, 35], [47, 97, 31], [28, 35, 52]] ------------------------------ Epoch 1240 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024084 - Iter 024 / 025, Loss: 0.029649 * Train accuracy / confusion: 97.75% / [[354, 2, 5], [4, 260, 2], [4, 1, 168]], * Val accuracy / confusion: 59.04% / [[160, 47, 23], [53, 92, 30], [26, 34, 55]] ------------------------------ Epoch 1241 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.140305 - Iter 024 / 025, Loss: 0.059814 * Train accuracy / confusion: 97.12% / [[348, 4, 1], [8, 258, 3], [5, 2, 171]], * Val accuracy / confusion: 57.31% / [[152, 41, 37], [45, 94, 36], [27, 36, 52]] ------------------------------ Epoch 1242 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.103543 - Iter 024 / 025, Loss: 0.120344 * Train accuracy / confusion: 97.75% / [[351, 0, 3], [7, 254, 6], [1, 1, 177]], * Val accuracy / confusion: 58.46% / [[154, 52, 24], [52, 96, 27], [25, 36, 54]] ------------------------------ Epoch 1243 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010433 - Iter 024 / 025, Loss: 0.030468 * Train accuracy / confusion: 97.25% / [[348, 4, 4], [5, 255, 6], [2, 1, 175]], * Val accuracy / confusion: 56.35% / [[148, 58, 24], [54, 94, 27], [26, 38, 51]] ------------------------------ Epoch 1244 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.139268 - Iter 024 / 025, Loss: 0.105173 * Train accuracy / confusion: 97.88% / [[351, 4, 0], [6, 255, 5], [1, 1, 177]], * Val accuracy / confusion: 54.23% / [[141, 55, 34], [53, 88, 34], [26, 36, 53]] ------------------------------ Epoch 1245 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010102 - Iter 024 / 025, Loss: 0.049744 * Train accuracy / confusion: 98.75% / [[350, 6, 0], [1, 266, 2], [1, 0, 174]], * Val accuracy / confusion: 56.54% / [[154, 44, 32], [48, 93, 34], [29, 39, 47]] ------------------------------ Epoch 1246 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.101571 - Iter 024 / 025, Loss: 0.038528 * Train accuracy / confusion: 97.88% / [[344, 9, 1], [6, 264, 0], [0, 1, 175]], * Val accuracy / confusion: 58.27% / [[157, 49, 24], [56, 94, 25], [33, 30, 52]] ------------------------------ Epoch 1247 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020357 - Iter 024 / 025, Loss: 0.029305 * Train accuracy / confusion: 97.25% / [[352, 4, 3], [8, 253, 4], [0, 3, 173]], * Val accuracy / confusion: 55.38% / [[145, 53, 32], [52, 90, 33], [25, 37, 53]] ------------------------------ Epoch 1248 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.174284 - Iter 024 / 025, Loss: 0.059603 * Train accuracy / confusion: 97.88% / [[344, 6, 3], [0, 266, 4], [3, 1, 173]], * Val accuracy / confusion: 60.38% / [[161, 42, 27], [53, 94, 28], [33, 23, 59]] ------------------------------ Epoch 1249 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.207580 - Iter 024 / 025, Loss: 0.060674 * Train accuracy / confusion: 98.12% / [[349, 4, 1], [6, 259, 2], [2, 0, 177]], * Val accuracy / confusion: 59.04% / [[158, 44, 28], [42, 95, 38], [30, 31, 54]] ------------------------------ Epoch 1250 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.065577 - Iter 024 / 025, Loss: 0.129295 * Train accuracy / confusion: 98.12% / [[353, 2, 1], [8, 260, 0], [1, 3, 172]], * Val accuracy / confusion: 57.69% / [[154, 51, 25], [41, 97, 37], [28, 38, 49]] ------------------------------ Epoch 1251 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016944 - Iter 024 / 025, Loss: 0.032357 * Train accuracy / confusion: 97.25% / [[342, 9, 1], [8, 259, 2], [2, 0, 177]], * Val accuracy / confusion: 59.42% / [[161, 44, 25], [54, 98, 23], [25, 40, 50]] ------------------------------ Epoch 1252 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.035984 - Iter 024 / 025, Loss: 0.014351 * Train accuracy / confusion: 97.88% / [[347, 7, 0], [9, 259, 0], [0, 1, 177]], * Val accuracy / confusion: 55.58% / [[148, 53, 29], [47, 94, 34], [31, 37, 47]] ------------------------------ Epoch 1253 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.046960 - Iter 024 / 025, Loss: 0.065540 * Train accuracy / confusion: 97.25% / [[350, 7, 2], [6, 256, 4], [3, 0, 172]], * Val accuracy / confusion: 57.12% / [[157, 55, 18], [57, 88, 30], [28, 35, 52]] ------------------------------ Epoch 1254 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.051916 - Iter 024 / 025, Loss: 0.033590 * Train accuracy / confusion: 97.62% / [[343, 6, 2], [6, 263, 2], [2, 1, 175]], * Val accuracy / confusion: 56.54% / [[154, 48, 28], [58, 87, 30], [39, 23, 53]] ------------------------------ Epoch 1255 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015526 - Iter 024 / 025, Loss: 0.106186 * Train accuracy / confusion: 97.88% / [[346, 4, 2], [6, 265, 0], [2, 3, 172]], * Val accuracy / confusion: 55.96% / [[153, 48, 29], [59, 87, 29], [26, 38, 51]] ------------------------------ Epoch 1256 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.044084 - Iter 024 / 025, Loss: 0.012237 * Train accuracy / confusion: 97.00% / [[346, 5, 3], [9, 252, 5], [0, 2, 178]], * Val accuracy / confusion: 59.42% / [[155, 50, 25], [51, 89, 35], [27, 23, 65]] ------------------------------ Epoch 1257 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.067018 - Iter 024 / 025, Loss: 0.032425 * Train accuracy / confusion: 97.12% / [[346, 12, 1], [2, 261, 3], [1, 4, 170]], * Val accuracy / confusion: 55.58% / [[148, 51, 31], [63, 85, 27], [30, 29, 56]] ------------------------------ Epoch 1258 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.014576 - Iter 024 / 025, Loss: 0.143805 * Train accuracy / confusion: 98.12% / [[357, 4, 0], [6, 257, 1], [1, 3, 171]], * Val accuracy / confusion: 61.54% / [[164, 37, 29], [43, 99, 33], [27, 31, 57]] ------------------------------ Epoch 1259 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012484 - Iter 024 / 025, Loss: 0.056497 * Train accuracy / confusion: 98.12% / [[349, 1, 2], [3, 261, 5], [0, 4, 175]], * Val accuracy / confusion: 59.62% / [[158, 47, 25], [46, 96, 33], [25, 34, 56]] ------------------------------ Epoch 1260 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.148105 - Iter 024 / 025, Loss: 0.043790 * Train accuracy / confusion: 97.62% / [[349, 4, 0], [7, 256, 3], [4, 1, 176]], * Val accuracy / confusion: 56.35% / [[151, 53, 26], [50, 94, 31], [28, 39, 48]] ------------------------------ Epoch 1261 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.136051 - Iter 024 / 025, Loss: 0.048163 * Train accuracy / confusion: 97.38% / [[352, 7, 1], [8, 253, 1], [3, 1, 174]], * Val accuracy / confusion: 59.23% / [[149, 56, 25], [43, 99, 33], [20, 35, 60]] ------------------------------ Epoch 1262 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.100966 - Iter 024 / 025, Loss: 0.034005 * Train accuracy / confusion: 97.88% / [[349, 3, 1], [7, 259, 3], [0, 3, 175]], * Val accuracy / confusion: 56.73% / [[156, 44, 30], [55, 87, 33], [30, 33, 52]] ------------------------------ Epoch 1263 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.051046 - Iter 024 / 025, Loss: 0.120165 * Train accuracy / confusion: 97.75% / [[349, 4, 3], [5, 263, 1], [1, 4, 170]], * Val accuracy / confusion: 59.23% / [[157, 51, 22], [51, 93, 31], [20, 37, 58]] ------------------------------ Epoch 1264 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020520 - Iter 024 / 025, Loss: 0.071305 * Train accuracy / confusion: 98.25% / [[352, 6, 0], [5, 256, 2], [0, 1, 178]], * Val accuracy / confusion: 56.54% / [[149, 53, 28], [52, 96, 27], [26, 40, 49]] ------------------------------ Epoch 1265 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.058316 - Iter 024 / 025, Loss: 0.018017 * Train accuracy / confusion: 97.25% / [[347, 6, 1], [7, 258, 4], [3, 1, 173]], * Val accuracy / confusion: 56.92% / [[152, 55, 23], [52, 93, 30], [29, 35, 51]] ------------------------------ Epoch 1266 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.065277 - Iter 024 / 025, Loss: 0.054657 * Train accuracy / confusion: 96.62% / [[350, 8, 2], [8, 256, 3], [3, 3, 167]], * Val accuracy / confusion: 60.00% / [[161, 44, 25], [55, 100, 20], [29, 35, 51]] ------------------------------ Epoch 1267 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.076945 - Iter 024 / 025, Loss: 0.058879 * Train accuracy / confusion: 97.25% / [[355, 5, 0], [11, 252, 2], [2, 2, 171]], * Val accuracy / confusion: 58.27% / [[158, 49, 23], [52, 91, 32], [27, 34, 54]] ------------------------------ Epoch 1268 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015282 - Iter 024 / 025, Loss: 0.044990 * Train accuracy / confusion: 97.12% / [[347, 7, 1], [7, 260, 5], [2, 1, 170]], * Val accuracy / confusion: 55.77% / [[142, 51, 37], [49, 93, 33], [29, 31, 55]] ------------------------------ Epoch 1269 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.062314 - Iter 024 / 025, Loss: 0.039609 * Train accuracy / confusion: 96.38% / [[346, 9, 2], [9, 255, 4], [3, 2, 170]], * Val accuracy / confusion: 55.58% / [[150, 48, 32], [52, 87, 36], [28, 35, 52]] ------------------------------ Epoch 1270 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007958 - Iter 024 / 025, Loss: 0.046765 * Train accuracy / confusion: 97.38% / [[345, 8, 2], [6, 262, 1], [2, 2, 172]], * Val accuracy / confusion: 59.81% / [[160, 38, 32], [49, 94, 32], [30, 28, 57]] ------------------------------ Epoch 1271 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.108677 - Iter 024 / 025, Loss: 0.038923 * Train accuracy / confusion: 98.38% / [[345, 3, 2], [4, 263, 1], [1, 2, 179]], * Val accuracy / confusion: 57.88% / [[152, 54, 24], [56, 97, 22], [26, 37, 52]] ------------------------------ Epoch 1272 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.063494 - Iter 024 / 025, Loss: 0.085581 * Train accuracy / confusion: 97.50% / [[348, 5, 1], [7, 260, 3], [3, 1, 172]], * Val accuracy / confusion: 57.12% / [[146, 54, 30], [55, 98, 22], [26, 36, 53]] ------------------------------ Epoch 1273 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015359 - Iter 024 / 025, Loss: 0.076239 * Train accuracy / confusion: 97.88% / [[344, 9, 3], [1, 263, 2], [2, 0, 176]], * Val accuracy / confusion: 58.46% / [[149, 55, 26], [50, 103, 22], [28, 35, 52]] ------------------------------ Epoch 1274 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.029482 - Iter 024 / 025, Loss: 0.033667 * Train accuracy / confusion: 97.12% / [[350, 7, 2], [6, 262, 2], [3, 3, 165]], * Val accuracy / confusion: 56.73% / [[153, 49, 28], [52, 89, 34], [30, 32, 53]] ------------------------------ Epoch 1275 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.076929 - Iter 024 / 025, Loss: 0.152773 * Train accuracy / confusion: 97.88% / [[351, 3, 1], [8, 254, 3], [0, 2, 178]], * Val accuracy / confusion: 55.58% / [[147, 56, 27], [54, 89, 32], [28, 34, 53]] ------------------------------ Epoch 1276 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.065726 - Iter 024 / 025, Loss: 0.025251 * Train accuracy / confusion: 97.75% / [[350, 2, 1], [7, 262, 4], [2, 2, 170]], * Val accuracy / confusion: 56.35% / [[154, 46, 30], [56, 84, 35], [27, 33, 55]] ------------------------------ Epoch 1277 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.022207 - Iter 024 / 025, Loss: 0.157941 * Train accuracy / confusion: 98.00% / [[348, 6, 3], [4, 260, 2], [0, 1, 176]], * Val accuracy / confusion: 58.27% / [[147, 55, 28], [45, 96, 34], [26, 29, 60]] ------------------------------ Epoch 1278 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.008118 - Iter 024 / 025, Loss: 0.144513 * Train accuracy / confusion: 97.88% / [[350, 3, 3], [6, 258, 1], [1, 3, 175]], * Val accuracy / confusion: 58.08% / [[156, 43, 31], [56, 95, 24], [33, 31, 51]] ------------------------------ Epoch 1279 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.081033 - Iter 024 / 025, Loss: 0.021875 * Train accuracy / confusion: 97.38% / [[347, 6, 3], [6, 259, 3], [1, 2, 173]], * Val accuracy / confusion: 59.23% / [[157, 45, 28], [50, 94, 31], [25, 33, 57]] ------------------------------ Epoch 1280 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.141792 - Iter 024 / 025, Loss: 0.130891 * Train accuracy / confusion: 97.25% / [[355, 5, 2], [8, 253, 3], [0, 4, 170]], * Val accuracy / confusion: 58.27% / [[154, 50, 26], [52, 97, 26], [25, 38, 52]] ------------------------------ Epoch 1281 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.065345 - Iter 024 / 025, Loss: 0.187544 * Train accuracy / confusion: 96.50% / [[344, 8, 1], [11, 255, 4], [1, 3, 173]], * Val accuracy / confusion: 58.85% / [[154, 45, 31], [47, 99, 29], [29, 33, 53]] ------------------------------ Epoch 1282 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.141631 - Iter 024 / 025, Loss: 0.018424 * Train accuracy / confusion: 98.00% / [[348, 4, 5], [4, 261, 0], [2, 1, 175]], * Val accuracy / confusion: 57.31% / [[144, 56, 30], [49, 97, 29], [21, 37, 57]] ------------------------------ Epoch 1283 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.039773 - Iter 024 / 025, Loss: 0.020134 * Train accuracy / confusion: 97.38% / [[344, 8, 2], [8, 258, 0], [2, 1, 177]], * Val accuracy / confusion: 57.31% / [[153, 51, 26], [48, 95, 32], [29, 36, 50]] ------------------------------ Epoch 1284 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.058854 - Iter 024 / 025, Loss: 0.012762 * Train accuracy / confusion: 98.50% / [[354, 3, 1], [5, 265, 1], [0, 2, 169]], * Val accuracy / confusion: 58.08% / [[148, 54, 28], [49, 100, 26], [28, 33, 54]] ------------------------------ Epoch 1285 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.102660 - Iter 024 / 025, Loss: 0.065742 * Train accuracy / confusion: 97.75% / [[356, 3, 1], [7, 257, 1], [1, 5, 169]], * Val accuracy / confusion: 56.92% / [[151, 48, 31], [45, 93, 37], [27, 36, 52]] ------------------------------ Epoch 1286 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011227 - Iter 024 / 025, Loss: 0.021732 * Train accuracy / confusion: 98.25% / [[353, 4, 1], [0, 260, 4], [4, 1, 173]], * Val accuracy / confusion: 58.27% / [[156, 52, 22], [51, 91, 33], [30, 29, 56]] ------------------------------ Epoch 1287 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.093260 - Iter 024 / 025, Loss: 0.025503 * Train accuracy / confusion: 97.88% / [[352, 4, 2], [6, 259, 3], [2, 0, 172]], * Val accuracy / confusion: 56.73% / [[152, 58, 20], [46, 93, 36], [25, 40, 50]] ------------------------------ Epoch 1288 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.032328 - Iter 024 / 025, Loss: 0.010904 * Train accuracy / confusion: 98.00% / [[355, 3, 1], [8, 255, 3], [0, 1, 174]], * Val accuracy / confusion: 55.00% / [[154, 49, 27], [57, 84, 34], [33, 34, 48]] ------------------------------ Epoch 1289 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016592 - Iter 024 / 025, Loss: 0.041608 * Train accuracy / confusion: 97.50% / [[353, 4, 1], [6, 265, 0], [6, 3, 162]], * Val accuracy / confusion: 59.42% / [[157, 50, 23], [45, 95, 35], [30, 28, 57]] ------------------------------ Epoch 1290 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.106757 - Iter 024 / 025, Loss: 0.026655 * Train accuracy / confusion: 98.00% / [[352, 6, 2], [7, 260, 0], [0, 1, 172]], * Val accuracy / confusion: 59.04% / [[153, 49, 28], [42, 101, 32], [27, 35, 53]] ------------------------------ Epoch 1291 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018118 - Iter 024 / 025, Loss: 0.025121 * Train accuracy / confusion: 97.12% / [[348, 6, 2], [8, 259, 1], [3, 3, 170]], * Val accuracy / confusion: 56.35% / [[153, 49, 28], [52, 90, 33], [26, 39, 50]] ------------------------------ Epoch 1292 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.066933 - Iter 024 / 025, Loss: 0.051789 * Train accuracy / confusion: 97.12% / [[348, 8, 1], [9, 254, 2], [0, 3, 175]], * Val accuracy / confusion: 57.12% / [[156, 47, 27], [58, 85, 32], [30, 29, 56]] ------------------------------ Epoch 1293 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.023297 - Iter 024 / 025, Loss: 0.210538 * Train accuracy / confusion: 97.75% / [[359, 2, 0], [8, 253, 4], [1, 3, 170]], * Val accuracy / confusion: 57.69% / [[156, 51, 23], [52, 93, 30], [34, 30, 51]] ------------------------------ Epoch 1294 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.038457 - Iter 024 / 025, Loss: 0.094559 * Train accuracy / confusion: 98.25% / [[351, 6, 0], [4, 262, 2], [0, 2, 173]], * Val accuracy / confusion: 59.23% / [[159, 44, 27], [53, 92, 30], [22, 36, 57]] ------------------------------ Epoch 1295 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.171887 - Iter 024 / 025, Loss: 0.033627 * Train accuracy / confusion: 98.25% / [[357, 1, 0], [10, 255, 2], [1, 0, 174]], * Val accuracy / confusion: 57.31% / [[156, 44, 30], [54, 87, 34], [22, 38, 55]] ------------------------------ Epoch 1296 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.054521 - Iter 024 / 025, Loss: 0.011083 * Train accuracy / confusion: 97.88% / [[352, 6, 0], [5, 258, 4], [1, 1, 173]], * Val accuracy / confusion: 56.92% / [[153, 51, 26], [51, 90, 34], [26, 36, 53]] ------------------------------ Epoch 1297 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.049803 - Iter 024 / 025, Loss: 0.075748 * Train accuracy / confusion: 97.25% / [[346, 7, 1], [7, 261, 3], [2, 2, 171]], * Val accuracy / confusion: 56.92% / [[153, 45, 32], [56, 94, 25], [34, 32, 49]] ------------------------------ Epoch 1298 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.043509 - Iter 024 / 025, Loss: 0.029873 * Train accuracy / confusion: 98.12% / [[352, 4, 2], [7, 257, 1], [1, 0, 176]], * Val accuracy / confusion: 56.92% / [[152, 48, 30], [52, 88, 35], [27, 32, 56]] ------------------------------ Epoch 1299 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.074284 - Iter 024 / 025, Loss: 0.078058 * Train accuracy / confusion: 97.50% / [[352, 7, 0], [4, 255, 4], [2, 3, 173]], * Val accuracy / confusion: 60.77% / [[156, 48, 26], [46, 100, 29], [27, 28, 60]] ------------------------------ Epoch 1300 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020964 - Iter 024 / 025, Loss: 0.048852 * Train accuracy / confusion: 99.00% / [[354, 2, 0], [4, 266, 0], [1, 1, 172]], * Val accuracy / confusion: 58.65% / [[163, 45, 22], [51, 86, 38], [28, 31, 56]] ------------------------------ Epoch 1301 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010433 - Iter 024 / 025, Loss: 0.094555 * Train accuracy / confusion: 98.00% / [[353, 4, 0], [6, 256, 1], [3, 2, 175]], * Val accuracy / confusion: 59.81% / [[157, 50, 23], [47, 94, 34], [28, 27, 60]] ------------------------------ Epoch 1302 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.049686 - Iter 024 / 025, Loss: 0.047894 * Train accuracy / confusion: 98.25% / [[352, 8, 0], [4, 261, 0], [0, 2, 173]], * Val accuracy / confusion: 59.42% / [[159, 41, 30], [47, 88, 40], [19, 34, 62]] ------------------------------ Epoch 1303 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.079029 - Iter 024 / 025, Loss: 0.062209 * Train accuracy / confusion: 97.38% / [[347, 6, 1], [5, 263, 2], [6, 1, 169]], * Val accuracy / confusion: 56.92% / [[146, 47, 37], [49, 98, 28], [26, 37, 52]] ------------------------------ Epoch 1304 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.021763 - Iter 024 / 025, Loss: 0.086116 * Train accuracy / confusion: 97.50% / [[355, 3, 3], [6, 255, 2], [4, 2, 170]], * Val accuracy / confusion: 56.54% / [[149, 45, 36], [47, 94, 34], [30, 34, 51]] ------------------------------ Epoch 1305 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.115881 - Iter 024 / 025, Loss: 0.020797 * Train accuracy / confusion: 97.12% / [[341, 11, 2], [2, 260, 4], [1, 3, 176]], * Val accuracy / confusion: 56.54% / [[157, 44, 29], [56, 83, 36], [32, 29, 54]] ------------------------------ Epoch 1306 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.092278 - Iter 024 / 025, Loss: 0.083004 * Train accuracy / confusion: 97.38% / [[346, 8, 1], [7, 257, 3], [1, 1, 176]], * Val accuracy / confusion: 58.65% / [[160, 42, 28], [57, 89, 29], [28, 31, 56]] ------------------------------ Epoch 1307 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.171669 - Iter 024 / 025, Loss: 0.265723 * Train accuracy / confusion: 97.50% / [[344, 7, 3], [8, 259, 2], [0, 0, 177]], * Val accuracy / confusion: 57.12% / [[162, 45, 23], [59, 87, 29], [28, 39, 48]] ------------------------------ Epoch 1308 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.056055 - Iter 024 / 025, Loss: 0.112982 * Train accuracy / confusion: 96.75% / [[344, 7, 2], [8, 259, 3], [3, 3, 171]], * Val accuracy / confusion: 61.15% / [[159, 46, 25], [45, 97, 33], [29, 24, 62]] ------------------------------ Epoch 1309 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.080804 - Iter 024 / 025, Loss: 0.332230 * Train accuracy / confusion: 97.00% / [[349, 4, 1], [8, 257, 3], [4, 4, 170]], * Val accuracy / confusion: 58.08% / [[154, 45, 31], [50, 89, 36], [22, 34, 59]] ------------------------------ Epoch 1310 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.204959 - Iter 024 / 025, Loss: 0.054968 * Train accuracy / confusion: 97.38% / [[350, 7, 0], [8, 251, 5], [1, 0, 178]], * Val accuracy / confusion: 58.65% / [[147, 51, 32], [40, 100, 35], [24, 33, 58]] ------------------------------ Epoch 1311 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.031134 - Iter 024 / 025, Loss: 0.034211 * Train accuracy / confusion: 98.12% / [[350, 2, 4], [3, 259, 5], [1, 0, 176]], * Val accuracy / confusion: 61.35% / [[163, 49, 18], [54, 97, 24], [28, 28, 59]] ------------------------------ Epoch 1312 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.075254 - Iter 024 / 025, Loss: 0.057015 * Train accuracy / confusion: 97.88% / [[351, 6, 0], [7, 259, 2], [1, 1, 173]], * Val accuracy / confusion: 59.04% / [[145, 51, 34], [42, 105, 28], [22, 36, 57]] ------------------------------ Epoch 1313 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.036661 - Iter 024 / 025, Loss: 0.062876 * Train accuracy / confusion: 98.12% / [[355, 3, 0], [8, 261, 1], [2, 1, 169]], * Val accuracy / confusion: 59.04% / [[160, 48, 22], [53, 91, 31], [29, 30, 56]] ------------------------------ Epoch 1314 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.042726 - Iter 024 / 025, Loss: 0.130602 * Train accuracy / confusion: 97.75% / [[351, 6, 1], [3, 259, 3], [2, 3, 172]], * Val accuracy / confusion: 58.08% / [[154, 51, 25], [48, 98, 29], [25, 40, 50]] ------------------------------ Epoch 1315 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010868 - Iter 024 / 025, Loss: 0.077079 * Train accuracy / confusion: 98.00% / [[343, 7, 0], [6, 263, 0], [1, 2, 178]], * Val accuracy / confusion: 59.81% / [[158, 41, 31], [48, 92, 35], [21, 33, 61]] ------------------------------ Epoch 1316 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.096692 - Iter 024 / 025, Loss: 0.084997 * Train accuracy / confusion: 97.25% / [[347, 7, 2], [8, 258, 1], [3, 1, 173]], * Val accuracy / confusion: 59.81% / [[159, 39, 32], [50, 95, 30], [23, 35, 57]] ------------------------------ Epoch 1317 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.017797 - Iter 024 / 025, Loss: 0.061058 * Train accuracy / confusion: 97.75% / [[354, 3, 2], [8, 255, 2], [1, 2, 173]], * Val accuracy / confusion: 56.15% / [[149, 54, 27], [47, 94, 34], [28, 38, 49]] ------------------------------ Epoch 1318 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.044685 - Iter 024 / 025, Loss: 0.066444 * Train accuracy / confusion: 97.75% / [[350, 3, 2], [7, 259, 3], [1, 2, 173]], * Val accuracy / confusion: 57.12% / [[149, 55, 26], [51, 96, 28], [26, 37, 52]] ------------------------------ Epoch 1319 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.038732 - Iter 024 / 025, Loss: 0.099619 * Train accuracy / confusion: 97.62% / [[349, 6, 3], [4, 260, 2], [3, 1, 172]], * Val accuracy / confusion: 60.19% / [[163, 44, 23], [47, 99, 29], [33, 31, 51]] ------------------------------ Epoch 1320 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018925 - Iter 024 / 025, Loss: 0.027516 * Train accuracy / confusion: 97.38% / [[348, 7, 0], [6, 261, 3], [2, 3, 170]], * Val accuracy / confusion: 61.35% / [[166, 42, 22], [49, 98, 28], [32, 28, 55]] ------------------------------ Epoch 1321 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.036911 - Iter 024 / 025, Loss: 0.448205 * Train accuracy / confusion: 96.38% / [[353, 5, 2], [8, 254, 4], [5, 5, 164]], * Val accuracy / confusion: 55.77% / [[152, 49, 29], [55, 82, 38], [34, 25, 56]] ------------------------------ Epoch 1322 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024662 - Iter 024 / 025, Loss: 0.049426 * Train accuracy / confusion: 97.62% / [[353, 3, 0], [10, 254, 4], [1, 1, 174]], * Val accuracy / confusion: 57.69% / [[153, 55, 22], [51, 93, 31], [33, 28, 54]] ------------------------------ Epoch 1323 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.246039 - Iter 024 / 025, Loss: 0.097126 * Train accuracy / confusion: 98.50% / [[347, 5, 1], [3, 266, 1], [2, 0, 175]], * Val accuracy / confusion: 57.50% / [[148, 55, 27], [51, 95, 29], [28, 31, 56]] ------------------------------ Epoch 1324 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.048049 - Iter 024 / 025, Loss: 0.062001 * Train accuracy / confusion: 97.62% / [[348, 6, 0], [6, 261, 4], [2, 1, 172]], * Val accuracy / confusion: 57.88% / [[155, 53, 22], [56, 90, 29], [30, 29, 56]] ------------------------------ Epoch 1325 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.033471 - Iter 024 / 025, Loss: 0.024778 * Train accuracy / confusion: 96.75% / [[340, 12, 2], [5, 264, 1], [4, 2, 170]], * Val accuracy / confusion: 59.42% / [[156, 53, 21], [46, 95, 34], [27, 30, 58]] ------------------------------ Epoch 1326 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.098387 - Iter 024 / 025, Loss: 0.020616 * Train accuracy / confusion: 97.25% / [[347, 9, 5], [4, 260, 1], [1, 2, 171]], * Val accuracy / confusion: 60.00% / [[148, 48, 34], [40, 105, 30], [30, 26, 59]] ------------------------------ Epoch 1327 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.062395 - Iter 024 / 025, Loss: 0.031052 * Train accuracy / confusion: 97.75% / [[349, 3, 2], [7, 258, 2], [2, 2, 175]], * Val accuracy / confusion: 60.58% / [[164, 40, 26], [45, 97, 33], [30, 31, 54]] ------------------------------ Epoch 1328 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.029455 - Iter 024 / 025, Loss: 0.058497 * Train accuracy / confusion: 97.25% / [[345, 7, 1], [9, 260, 2], [1, 2, 173]], * Val accuracy / confusion: 59.62% / [[159, 45, 26], [48, 93, 34], [24, 33, 58]] ------------------------------ Epoch 1329 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.072312 - Iter 024 / 025, Loss: 0.119023 * Train accuracy / confusion: 97.75% / [[350, 6, 1], [4, 260, 3], [1, 3, 172]], * Val accuracy / confusion: 56.54% / [[150, 59, 21], [53, 86, 36], [24, 33, 58]] ------------------------------ Epoch 1330 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009021 - Iter 024 / 025, Loss: 0.024865 * Train accuracy / confusion: 98.00% / [[347, 4, 3], [3, 264, 3], [1, 2, 173]], * Val accuracy / confusion: 58.27% / [[155, 51, 24], [53, 90, 32], [28, 29, 58]] ------------------------------ Epoch 1331 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.041827 - Iter 024 / 025, Loss: 0.026855 * Train accuracy / confusion: 98.00% / [[349, 5, 0], [5, 265, 1], [3, 2, 170]], * Val accuracy / confusion: 57.88% / [[158, 51, 21], [52, 94, 29], [31, 35, 49]] ------------------------------ Epoch 1332 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.071115 - Iter 024 / 025, Loss: 0.028547 * Train accuracy / confusion: 97.75% / [[350, 7, 1], [5, 260, 1], [2, 2, 172]], * Val accuracy / confusion: 58.65% / [[153, 51, 26], [47, 99, 29], [32, 30, 53]] ------------------------------ Epoch 1333 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.062012 - Iter 024 / 025, Loss: 0.034714 * Train accuracy / confusion: 98.50% / [[355, 3, 1], [6, 261, 0], [1, 1, 172]], * Val accuracy / confusion: 59.42% / [[154, 45, 31], [47, 99, 29], [27, 32, 56]] ------------------------------ Epoch 1334 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.076480 - Iter 024 / 025, Loss: 0.041377 * Train accuracy / confusion: 97.50% / [[352, 4, 0], [7, 256, 4], [2, 3, 172]], * Val accuracy / confusion: 59.04% / [[159, 37, 34], [46, 94, 35], [29, 32, 54]] ------------------------------ Epoch 1335 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.078232 - Iter 024 / 025, Loss: 0.041265 * Train accuracy / confusion: 97.62% / [[350, 6, 2], [7, 262, 2], [0, 2, 169]], * Val accuracy / confusion: 57.69% / [[155, 55, 20], [54, 93, 28], [27, 36, 52]] ------------------------------ Epoch 1336 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.125761 - Iter 024 / 025, Loss: 0.034450 * Train accuracy / confusion: 98.00% / [[349, 6, 1], [7, 260, 1], [0, 1, 175]], * Val accuracy / confusion: 57.31% / [[159, 47, 24], [54, 90, 31], [28, 38, 49]] ------------------------------ Epoch 1337 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.096414 - Iter 024 / 025, Loss: 0.188653 * Train accuracy / confusion: 96.75% / [[348, 8, 2], [7, 257, 3], [3, 3, 169]], * Val accuracy / confusion: 58.85% / [[160, 49, 21], [44, 95, 36], [28, 36, 51]] ------------------------------ Epoch 1338 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.057605 - Iter 024 / 025, Loss: 0.052565 * Train accuracy / confusion: 97.75% / [[348, 5, 2], [9, 259, 0], [1, 1, 175]], * Val accuracy / confusion: 61.35% / [[161, 47, 22], [49, 93, 33], [25, 25, 65]] ------------------------------ Epoch 1339 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.029874 - Iter 024 / 025, Loss: 0.022197 * Train accuracy / confusion: 97.50% / [[351, 4, 1], [7, 257, 2], [1, 5, 172]], * Val accuracy / confusion: 58.65% / [[151, 53, 26], [46, 97, 32], [28, 30, 57]] ------------------------------ Epoch 1340 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012408 - Iter 024 / 025, Loss: 0.026257 * Train accuracy / confusion: 98.00% / [[353, 3, 1], [7, 258, 2], [2, 1, 173]], * Val accuracy / confusion: 59.81% / [[160, 43, 27], [56, 95, 24], [32, 27, 56]] ------------------------------ Epoch 1341 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.053964 - Iter 024 / 025, Loss: 0.072826 * Train accuracy / confusion: 97.88% / [[349, 3, 1], [7, 264, 1], [1, 4, 170]], * Val accuracy / confusion: 58.46% / [[158, 51, 21], [53, 92, 30], [29, 32, 54]] ------------------------------ Epoch 1342 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.038847 - Iter 024 / 025, Loss: 0.074622 * Train accuracy / confusion: 97.25% / [[348, 6, 2], [8, 259, 1], [0, 5, 171]], * Val accuracy / confusion: 56.15% / [[152, 47, 31], [54, 91, 30], [34, 32, 49]] ------------------------------ Epoch 1343 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.192731 - Iter 024 / 025, Loss: 0.023395 * Train accuracy / confusion: 98.25% / [[348, 4, 2], [3, 264, 3], [0, 2, 174]], * Val accuracy / confusion: 57.88% / [[162, 40, 28], [54, 91, 30], [24, 43, 48]] ------------------------------ Epoch 1344 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020339 - Iter 024 / 025, Loss: 0.020934 * Train accuracy / confusion: 97.38% / [[347, 5, 4], [8, 258, 0], [2, 2, 174]], * Val accuracy / confusion: 59.23% / [[151, 51, 28], [53, 102, 20], [26, 34, 55]] ------------------------------ Epoch 1345 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.028582 - Iter 024 / 025, Loss: 0.055385 * Train accuracy / confusion: 97.75% / [[349, 5, 2], [7, 259, 2], [0, 2, 174]], * Val accuracy / confusion: 60.38% / [[157, 39, 34], [48, 98, 29], [27, 29, 59]] ------------------------------ Epoch 1346 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020804 - Iter 024 / 025, Loss: 0.064919 * Train accuracy / confusion: 97.38% / [[352, 8, 1], [5, 263, 0], [3, 4, 164]], * Val accuracy / confusion: 60.00% / [[161, 49, 20], [52, 98, 25], [26, 36, 53]] ------------------------------ Epoch 1347 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.042319 - Iter 024 / 025, Loss: 0.037056 * Train accuracy / confusion: 97.38% / [[350, 8, 1], [7, 261, 3], [1, 1, 168]], * Val accuracy / confusion: 59.04% / [[152, 52, 26], [48, 99, 28], [25, 34, 56]] ------------------------------ Epoch 1348 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005449 - Iter 024 / 025, Loss: 0.161310 * Train accuracy / confusion: 98.12% / [[357, 3, 2], [5, 258, 3], [1, 1, 170]], * Val accuracy / confusion: 57.69% / [[149, 56, 25], [53, 92, 30], [23, 33, 59]] ------------------------------ Epoch 1349 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.062345 - Iter 024 / 025, Loss: 0.263234 * Train accuracy / confusion: 97.38% / [[350, 5, 3], [7, 259, 3], [2, 1, 170]], * Val accuracy / confusion: 58.46% / [[158, 43, 29], [58, 88, 29], [34, 23, 58]] ------------------------------ Epoch 1350 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.033630 - Iter 024 / 025, Loss: 0.101988 * Train accuracy / confusion: 97.25% / [[344, 9, 3], [4, 260, 1], [2, 3, 174]], * Val accuracy / confusion: 59.23% / [[153, 46, 31], [39, 102, 34], [23, 39, 53]] ------------------------------ Epoch 1351 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.031678 - Iter 024 / 025, Loss: 0.141791 * Train accuracy / confusion: 97.62% / [[347, 6, 1], [5, 262, 4], [1, 2, 172]], * Val accuracy / confusion: 56.15% / [[156, 49, 25], [50, 90, 35], [31, 38, 46]] ------------------------------ Epoch 1352 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.054724 - Iter 024 / 025, Loss: 0.024958 * Train accuracy / confusion: 96.88% / [[347, 3, 5], [8, 258, 2], [3, 4, 170]], * Val accuracy / confusion: 56.73% / [[151, 59, 20], [50, 93, 32], [31, 33, 51]] ------------------------------ Epoch 1353 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.049045 - Iter 024 / 025, Loss: 0.047605 * Train accuracy / confusion: 98.62% / [[357, 4, 0], [4, 261, 1], [1, 1, 171]], * Val accuracy / confusion: 55.96% / [[158, 49, 23], [56, 88, 31], [30, 40, 45]] ------------------------------ Epoch 1354 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.028937 - Iter 024 / 025, Loss: 0.105680 * Train accuracy / confusion: 98.00% / [[350, 5, 2], [4, 259, 2], [1, 2, 175]], * Val accuracy / confusion: 55.96% / [[147, 54, 29], [54, 89, 32], [32, 28, 55]] ------------------------------ Epoch 1355 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.017685 - Iter 024 / 025, Loss: 0.010797 * Train accuracy / confusion: 98.00% / [[349, 7, 0], [5, 264, 1], [1, 2, 171]], * Val accuracy / confusion: 59.23% / [[157, 40, 33], [47, 98, 30], [27, 35, 53]] ------------------------------ Epoch 1356 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.040212 - Iter 024 / 025, Loss: 0.018319 * Train accuracy / confusion: 97.38% / [[348, 4, 3], [5, 257, 4], [3, 2, 174]], * Val accuracy / confusion: 62.50% / [[159, 57, 14], [48, 109, 18], [30, 28, 57]] ------------------------------ Epoch 1357 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.156320 - Iter 024 / 025, Loss: 0.046799 * Train accuracy / confusion: 97.75% / [[355, 5, 0], [5, 259, 1], [4, 3, 168]], * Val accuracy / confusion: 55.77% / [[156, 50, 24], [54, 88, 33], [34, 35, 46]] ------------------------------ Epoch 1358 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007150 - Iter 024 / 025, Loss: 0.058691 * Train accuracy / confusion: 97.88% / [[349, 3, 3], [8, 259, 1], [1, 1, 175]], * Val accuracy / confusion: 59.04% / [[155, 56, 19], [51, 103, 21], [29, 37, 49]] ------------------------------ Epoch 1359 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.104805 - Iter 024 / 025, Loss: 0.316649 * Train accuracy / confusion: 96.88% / [[354, 2, 2], [8, 252, 5], [4, 4, 169]], * Val accuracy / confusion: 59.81% / [[157, 44, 29], [47, 99, 29], [26, 34, 55]] ------------------------------ Epoch 1360 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.029997 - Iter 024 / 025, Loss: 0.016204 * Train accuracy / confusion: 98.50% / [[354, 1, 2], [2, 264, 2], [1, 4, 170]], * Val accuracy / confusion: 60.38% / [[151, 50, 29], [43, 103, 29], [31, 24, 60]] ------------------------------ Epoch 1361 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.187043 - Iter 024 / 025, Loss: 0.020033 * Train accuracy / confusion: 97.50% / [[351, 9, 1], [3, 258, 4], [0, 3, 171]], * Val accuracy / confusion: 60.00% / [[162, 42, 26], [54, 94, 27], [26, 33, 56]] ------------------------------ Epoch 1362 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.039411 - Iter 024 / 025, Loss: 0.120679 * Train accuracy / confusion: 97.00% / [[351, 5, 3], [8, 258, 3], [1, 4, 167]], * Val accuracy / confusion: 61.54% / [[159, 47, 24], [49, 98, 28], [21, 31, 63]] ------------------------------ Epoch 1363 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.095730 - Iter 024 / 025, Loss: 0.011102 * Train accuracy / confusion: 97.62% / [[359, 1, 2], [4, 256, 5], [2, 5, 166]], * Val accuracy / confusion: 59.04% / [[152, 48, 30], [49, 98, 28], [23, 35, 57]] ------------------------------ Epoch 1364 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.154327 - Iter 024 / 025, Loss: 0.055312 * Train accuracy / confusion: 97.88% / [[348, 8, 0], [5, 261, 2], [1, 1, 174]], * Val accuracy / confusion: 57.69% / [[152, 45, 33], [50, 93, 32], [27, 33, 55]] ------------------------------ Epoch 1365 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.026808 - Iter 024 / 025, Loss: 0.034125 * Train accuracy / confusion: 98.50% / [[350, 5, 1], [4, 263, 0], [2, 0, 175]], * Val accuracy / confusion: 57.50% / [[153, 52, 25], [50, 89, 36], [24, 34, 57]] ------------------------------ Epoch 1366 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003104 - Iter 024 / 025, Loss: 0.217440 * Train accuracy / confusion: 98.12% / [[351, 2, 2], [8, 261, 1], [1, 1, 173]], * Val accuracy / confusion: 57.50% / [[157, 48, 25], [53, 91, 31], [28, 36, 51]] ------------------------------ Epoch 1367 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.216023 - Iter 024 / 025, Loss: 0.018667 * Train accuracy / confusion: 97.38% / [[348, 9, 0], [10, 256, 2], [0, 0, 175]], * Val accuracy / confusion: 60.38% / [[157, 46, 27], [49, 99, 27], [24, 33, 58]] ------------------------------ Epoch 1368 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.091465 - Iter 024 / 025, Loss: 0.010325 * Train accuracy / confusion: 98.25% / [[349, 4, 1], [4, 262, 2], [2, 1, 175]], * Val accuracy / confusion: 59.42% / [[153, 47, 30], [53, 97, 25], [21, 35, 59]] ------------------------------ Epoch 1369 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.108773 - Iter 024 / 025, Loss: 0.234181 * Train accuracy / confusion: 97.38% / [[346, 6, 2], [7, 256, 2], [3, 1, 177]], * Val accuracy / confusion: 57.88% / [[152, 52, 26], [48, 101, 26], [28, 39, 48]] ------------------------------ Epoch 1370 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.078925 - Iter 024 / 025, Loss: 0.075884 * Train accuracy / confusion: 96.50% / [[349, 6, 3], [10, 252, 3], [3, 3, 171]], * Val accuracy / confusion: 57.31% / [[152, 48, 30], [53, 92, 30], [28, 33, 54]] ------------------------------ Epoch 1371 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.121341 - Iter 024 / 025, Loss: 0.077872 * Train accuracy / confusion: 98.00% / [[353, 3, 2], [5, 260, 1], [3, 2, 171]], * Val accuracy / confusion: 55.77% / [[150, 50, 30], [59, 89, 27], [25, 39, 51]] ------------------------------ Epoch 1372 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.033877 - Iter 024 / 025, Loss: 0.027847 * Train accuracy / confusion: 98.75% / [[354, 3, 1], [2, 262, 1], [1, 2, 174]], * Val accuracy / confusion: 60.96% / [[165, 39, 26], [50, 101, 24], [31, 33, 51]] ------------------------------ Epoch 1373 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015576 - Iter 024 / 025, Loss: 0.074437 * Train accuracy / confusion: 98.62% / [[346, 5, 2], [3, 269, 0], [1, 0, 174]], * Val accuracy / confusion: 60.38% / [[159, 48, 23], [43, 95, 37], [26, 29, 60]] ------------------------------ Epoch 1374 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.025074 - Iter 024 / 025, Loss: 0.058990 * Train accuracy / confusion: 97.12% / [[348, 4, 2], [11, 256, 1], [2, 3, 173]], * Val accuracy / confusion: 56.73% / [[153, 54, 23], [55, 91, 29], [30, 34, 51]] ------------------------------ Epoch 1375 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.008575 - Iter 024 / 025, Loss: 0.065665 * Train accuracy / confusion: 97.38% / [[347, 6, 1], [8, 260, 1], [2, 3, 172]], * Val accuracy / confusion: 57.88% / [[146, 54, 30], [54, 94, 27], [28, 26, 61]] ------------------------------ Epoch 1376 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.067548 - Iter 024 / 025, Loss: 0.035948 * Train accuracy / confusion: 98.00% / [[353, 2, 1], [10, 262, 1], [1, 1, 169]], * Val accuracy / confusion: 59.23% / [[155, 47, 28], [54, 89, 32], [28, 23, 64]] ------------------------------ Epoch 1377 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.319270 - Iter 024 / 025, Loss: 0.161660 * Train accuracy / confusion: 97.38% / [[349, 6, 1], [7, 263, 3], [1, 3, 167]], * Val accuracy / confusion: 58.08% / [[155, 47, 28], [51, 95, 29], [28, 35, 52]] ------------------------------ Epoch 1378 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.033750 - Iter 024 / 025, Loss: 0.071977 * Train accuracy / confusion: 97.88% / [[346, 4, 2], [5, 260, 5], [0, 1, 177]], * Val accuracy / confusion: 59.81% / [[157, 50, 23], [53, 95, 27], [28, 28, 59]] ------------------------------ Epoch 1379 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.017490 - Iter 024 / 025, Loss: 0.100395 * Train accuracy / confusion: 97.75% / [[349, 3, 1], [3, 256, 7], [1, 3, 177]], * Val accuracy / confusion: 56.54% / [[153, 48, 29], [58, 95, 22], [31, 38, 46]] ------------------------------ Epoch 1380 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.168446 - Iter 024 / 025, Loss: 0.041164 * Train accuracy / confusion: 96.88% / [[346, 6, 1], [9, 258, 4], [1, 4, 171]], * Val accuracy / confusion: 61.15% / [[159, 44, 27], [47, 102, 26], [22, 36, 57]] ------------------------------ Epoch 1381 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.068488 - Iter 024 / 025, Loss: 0.036259 * Train accuracy / confusion: 97.75% / [[347, 4, 3], [5, 262, 2], [2, 2, 173]], * Val accuracy / confusion: 60.96% / [[153, 50, 27], [42, 105, 28], [28, 28, 59]] ------------------------------ Epoch 1382 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.056209 - Iter 024 / 025, Loss: 0.011975 * Train accuracy / confusion: 97.88% / [[353, 3, 1], [6, 254, 4], [2, 1, 176]], * Val accuracy / confusion: 56.92% / [[152, 53, 25], [51, 85, 39], [29, 27, 59]] ------------------------------ Epoch 1383 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.103241 - Iter 024 / 025, Loss: 0.024626 * Train accuracy / confusion: 97.62% / [[347, 6, 0], [7, 262, 1], [0, 5, 172]], * Val accuracy / confusion: 58.46% / [[153, 52, 25], [47, 101, 27], [27, 38, 50]] ------------------------------ Epoch 1384 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.048266 - Iter 024 / 025, Loss: 0.311651 * Train accuracy / confusion: 98.12% / [[352, 1, 2], [5, 266, 3], [4, 0, 167]], * Val accuracy / confusion: 58.08% / [[161, 41, 28], [53, 92, 30], [30, 36, 49]] ------------------------------ Epoch 1385 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.117089 - Iter 024 / 025, Loss: 0.143261 * Train accuracy / confusion: 97.50% / [[346, 8, 1], [8, 258, 2], [0, 1, 176]], * Val accuracy / confusion: 59.23% / [[158, 52, 20], [47, 97, 31], [27, 35, 53]] ------------------------------ Epoch 1386 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.022139 - Iter 024 / 025, Loss: 0.020746 * Train accuracy / confusion: 98.38% / [[352, 4, 1], [4, 266, 1], [3, 0, 169]], * Val accuracy / confusion: 56.35% / [[144, 50, 36], [47, 90, 38], [27, 29, 59]] ------------------------------ Epoch 1387 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.105897 - Iter 024 / 025, Loss: 0.148396 * Train accuracy / confusion: 97.38% / [[352, 5, 0], [10, 254, 3], [3, 0, 173]], * Val accuracy / confusion: 59.04% / [[159, 40, 31], [56, 92, 27], [30, 29, 56]] ------------------------------ Epoch 1388 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.113752 - Iter 024 / 025, Loss: 0.116694 * Train accuracy / confusion: 98.12% / [[348, 6, 1], [4, 263, 2], [1, 1, 174]], * Val accuracy / confusion: 55.77% / [[143, 52, 35], [50, 93, 32], [26, 35, 54]] ------------------------------ Epoch 1389 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.047624 - Iter 024 / 025, Loss: 0.065016 * Train accuracy / confusion: 97.00% / [[352, 6, 1], [5, 256, 6], [4, 2, 168]], * Val accuracy / confusion: 58.08% / [[147, 53, 30], [44, 96, 35], [27, 29, 59]] ------------------------------ Epoch 1390 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020659 - Iter 024 / 025, Loss: 0.036271 * Train accuracy / confusion: 98.12% / [[356, 2, 1], [4, 261, 3], [2, 3, 168]], * Val accuracy / confusion: 58.85% / [[153, 46, 31], [47, 98, 30], [27, 33, 55]] ------------------------------ Epoch 1391 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.126068 - Iter 024 / 025, Loss: 0.063410 * Train accuracy / confusion: 98.12% / [[349, 4, 1], [4, 262, 3], [1, 2, 174]], * Val accuracy / confusion: 57.31% / [[151, 49, 30], [44, 95, 36], [25, 38, 52]] ------------------------------ Epoch 1392 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.089730 - Iter 024 / 025, Loss: 0.006083 * Train accuracy / confusion: 98.25% / [[354, 3, 3], [5, 261, 1], [1, 1, 171]], * Val accuracy / confusion: 56.73% / [[148, 51, 31], [48, 95, 32], [25, 38, 52]] ------------------------------ Epoch 1393 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.089159 - Iter 024 / 025, Loss: 0.046233 * Train accuracy / confusion: 98.25% / [[352, 3, 0], [6, 259, 2], [1, 2, 175]], * Val accuracy / confusion: 58.46% / [[153, 53, 24], [50, 95, 30], [28, 31, 56]] ------------------------------ Epoch 1394 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.084990 - Iter 024 / 025, Loss: 0.109768 * Train accuracy / confusion: 96.50% / [[346, 7, 4], [8, 258, 2], [2, 5, 168]], * Val accuracy / confusion: 58.65% / [[155, 53, 22], [46, 96, 33], [26, 35, 54]] ------------------------------ Epoch 1395 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012036 - Iter 024 / 025, Loss: 0.009338 * Train accuracy / confusion: 97.38% / [[352, 4, 2], [9, 255, 3], [2, 1, 172]], * Val accuracy / confusion: 60.19% / [[159, 50, 21], [46, 99, 30], [36, 24, 55]] ------------------------------ Epoch 1396 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.070766 - Iter 024 / 025, Loss: 0.003236 * Train accuracy / confusion: 97.38% / [[347, 2, 2], [7, 260, 3], [2, 5, 172]], * Val accuracy / confusion: 55.96% / [[143, 66, 21], [47, 105, 23], [26, 46, 43]] ------------------------------ Epoch 1397 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.043934 - Iter 024 / 025, Loss: 0.009543 * Train accuracy / confusion: 97.62% / [[346, 7, 1], [6, 261, 1], [2, 2, 174]], * Val accuracy / confusion: 57.50% / [[156, 52, 22], [52, 99, 24], [29, 42, 44]] ------------------------------ Epoch 1398 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016729 - Iter 024 / 025, Loss: 0.236418 * Train accuracy / confusion: 97.62% / [[348, 8, 3], [3, 262, 2], [2, 1, 171]], * Val accuracy / confusion: 60.00% / [[158, 46, 26], [40, 103, 32], [29, 35, 51]] ------------------------------ Epoch 1399 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018125 - Iter 024 / 025, Loss: 0.128899 * Train accuracy / confusion: 96.62% / [[347, 8, 2], [8, 256, 3], [4, 2, 170]], * Val accuracy / confusion: 60.96% / [[163, 47, 20], [49, 99, 27], [32, 28, 55]] ------------------------------ Epoch 1400 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.202699 - Iter 024 / 025, Loss: 0.060221 * Train accuracy / confusion: 97.38% / [[349, 5, 3], [7, 258, 2], [2, 2, 172]], * Val accuracy / confusion: 59.23% / [[155, 43, 32], [46, 104, 25], [28, 38, 49]] ------------------------------ Epoch 1401 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010143 - Iter 024 / 025, Loss: 0.094362 * Train accuracy / confusion: 98.12% / [[350, 5, 2], [4, 260, 2], [0, 2, 175]], * Val accuracy / confusion: 58.46% / [[158, 48, 24], [49, 97, 29], [28, 38, 49]] ------------------------------ Epoch 1402 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.109225 - Iter 024 / 025, Loss: 0.041511 * Train accuracy / confusion: 98.88% / [[351, 3, 0], [1, 266, 2], [1, 2, 174]], * Val accuracy / confusion: 58.08% / [[150, 53, 27], [46, 99, 30], [25, 37, 53]] ------------------------------ Epoch 1403 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.095268 - Iter 024 / 025, Loss: 0.107876 * Train accuracy / confusion: 97.50% / [[348, 7, 2], [4, 260, 4], [2, 1, 172]], * Val accuracy / confusion: 59.81% / [[152, 47, 31], [49, 97, 29], [24, 29, 62]] ------------------------------ Epoch 1404 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.207652 - Iter 024 / 025, Loss: 0.022544 * Train accuracy / confusion: 98.00% / [[344, 7, 0], [4, 263, 2], [1, 2, 177]], * Val accuracy / confusion: 61.35% / [[165, 37, 28], [48, 97, 30], [20, 38, 57]] ------------------------------ Epoch 1405 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.102072 - Iter 024 / 025, Loss: 0.042396 * Train accuracy / confusion: 97.75% / [[352, 5, 0], [5, 263, 1], [2, 5, 167]], * Val accuracy / confusion: 57.31% / [[159, 46, 25], [56, 87, 32], [26, 37, 52]] ------------------------------ Epoch 1406 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.026578 - Iter 024 / 025, Loss: 0.050305 * Train accuracy / confusion: 97.88% / [[348, 7, 2], [4, 259, 4], [0, 0, 176]], * Val accuracy / confusion: 58.46% / [[148, 54, 28], [44, 104, 27], [29, 34, 52]] ------------------------------ Epoch 1407 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.095326 - Iter 024 / 025, Loss: 0.076977 * Train accuracy / confusion: 97.75% / [[350, 1, 1], [7, 264, 2], [6, 1, 168]], * Val accuracy / confusion: 57.69% / [[160, 45, 25], [55, 88, 32], [27, 36, 52]] ------------------------------ Epoch 1408 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.185258 - Iter 024 / 025, Loss: 0.009358 * Train accuracy / confusion: 97.38% / [[352, 7, 1], [5, 255, 1], [4, 3, 172]], * Val accuracy / confusion: 59.23% / [[159, 47, 24], [55, 92, 28], [28, 30, 57]] ------------------------------ Epoch 1409 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.048632 - Iter 024 / 025, Loss: 0.013507 * Train accuracy / confusion: 97.62% / [[350, 3, 4], [9, 258, 0], [0, 3, 173]], * Val accuracy / confusion: 56.92% / [[152, 53, 25], [53, 90, 32], [27, 34, 54]] ------------------------------ Epoch 1410 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015707 - Iter 024 / 025, Loss: 0.031191 * Train accuracy / confusion: 97.25% / [[349, 6, 6], [6, 255, 4], [0, 0, 174]], * Val accuracy / confusion: 59.81% / [[166, 42, 22], [55, 91, 29], [33, 28, 54]] ------------------------------ Epoch 1411 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.088180 - Iter 024 / 025, Loss: 0.018947 * Train accuracy / confusion: 98.12% / [[354, 3, 2], [4, 258, 1], [1, 4, 173]], * Val accuracy / confusion: 56.73% / [[151, 47, 32], [48, 90, 37], [23, 38, 54]] ------------------------------ Epoch 1412 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.041445 - Iter 024 / 025, Loss: 0.056712 * Train accuracy / confusion: 98.75% / [[354, 3, 1], [3, 261, 1], [0, 2, 175]], * Val accuracy / confusion: 58.65% / [[154, 52, 24], [44, 97, 34], [29, 32, 54]] ------------------------------ Epoch 1413 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.100239 - Iter 024 / 025, Loss: 0.030982 * Train accuracy / confusion: 97.75% / [[354, 8, 2], [4, 255, 1], [1, 2, 173]], * Val accuracy / confusion: 59.42% / [[163, 40, 27], [47, 95, 33], [27, 37, 51]] ------------------------------ Epoch 1414 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.071740 - Iter 024 / 025, Loss: 0.210875 * Train accuracy / confusion: 96.75% / [[348, 4, 1], [10, 251, 8], [2, 1, 175]], * Val accuracy / confusion: 57.69% / [[156, 48, 26], [53, 91, 31], [27, 35, 53]] ------------------------------ Epoch 1415 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.114890 - Iter 024 / 025, Loss: 0.048346 * Train accuracy / confusion: 96.75% / [[346, 7, 2], [7, 258, 4], [3, 3, 170]], * Val accuracy / confusion: 58.46% / [[160, 47, 23], [54, 91, 30], [26, 36, 53]] ------------------------------ Epoch 1416 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.262136 - Iter 024 / 025, Loss: 0.146496 * Train accuracy / confusion: 96.75% / [[343, 9, 3], [5, 264, 3], [2, 4, 167]], * Val accuracy / confusion: 57.69% / [[156, 50, 24], [48, 98, 29], [31, 38, 46]] ------------------------------ Epoch 1417 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.043969 - Iter 024 / 025, Loss: 0.080746 * Train accuracy / confusion: 97.62% / [[350, 4, 0], [8, 259, 3], [2, 2, 172]], * Val accuracy / confusion: 55.96% / [[155, 41, 34], [61, 86, 28], [30, 35, 50]] ------------------------------ Epoch 1418 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.027147 - Iter 024 / 025, Loss: 0.021053 * Train accuracy / confusion: 97.00% / [[342, 10, 2], [4, 261, 3], [4, 1, 173]], * Val accuracy / confusion: 60.19% / [[171, 30, 29], [59, 87, 29], [28, 32, 55]] ------------------------------ Epoch 1419 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.195665 - Iter 024 / 025, Loss: 0.020706 * Train accuracy / confusion: 97.38% / [[348, 4, 3], [9, 258, 0], [3, 2, 173]], * Val accuracy / confusion: 59.62% / [[154, 48, 28], [45, 101, 29], [30, 30, 55]] ------------------------------ Epoch 1420 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.031284 - Iter 024 / 025, Loss: 0.054296 * Train accuracy / confusion: 97.25% / [[352, 1, 1], [9, 256, 5], [4, 2, 170]], * Val accuracy / confusion: 58.46% / [[154, 58, 18], [55, 90, 30], [24, 31, 60]] ------------------------------ Epoch 1421 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.080018 - Iter 024 / 025, Loss: 0.130081 * Train accuracy / confusion: 98.38% / [[347, 6, 1], [2, 265, 1], [2, 1, 175]], * Val accuracy / confusion: 58.08% / [[153, 51, 26], [52, 96, 27], [29, 33, 53]] ------------------------------ Epoch 1422 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.042458 - Iter 024 / 025, Loss: 0.036779 * Train accuracy / confusion: 97.25% / [[350, 6, 2], [9, 260, 0], [1, 4, 168]], * Val accuracy / confusion: 59.42% / [[149, 55, 26], [43, 105, 27], [20, 40, 55]] ------------------------------ Epoch 1423 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.115283 - Iter 024 / 025, Loss: 0.051765 * Train accuracy / confusion: 97.62% / [[350, 3, 2], [8, 260, 3], [2, 1, 171]], * Val accuracy / confusion: 59.62% / [[154, 55, 21], [48, 101, 26], [28, 32, 55]] ------------------------------ Epoch 1424 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016447 - Iter 024 / 025, Loss: 0.034836 * Train accuracy / confusion: 98.25% / [[351, 4, 1], [5, 264, 0], [0, 4, 171]], * Val accuracy / confusion: 60.00% / [[155, 47, 28], [48, 107, 20], [30, 35, 50]] ------------------------------ Epoch 1425 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.021998 - Iter 024 / 025, Loss: 0.097948 * Train accuracy / confusion: 97.88% / [[352, 4, 3], [6, 258, 4], [0, 0, 173]], * Val accuracy / confusion: 59.62% / [[163, 41, 26], [53, 90, 32], [25, 33, 57]] ------------------------------ Epoch 1426 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.019377 - Iter 024 / 025, Loss: 0.060603 * Train accuracy / confusion: 98.38% / [[342, 4, 2], [4, 268, 1], [1, 1, 177]], * Val accuracy / confusion: 59.62% / [[152, 54, 24], [46, 101, 28], [29, 29, 57]] ------------------------------ Epoch 1427 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.054999 - Iter 024 / 025, Loss: 0.023536 * Train accuracy / confusion: 97.25% / [[344, 7, 3], [7, 258, 2], [1, 2, 176]], * Val accuracy / confusion: 55.58% / [[147, 49, 34], [50, 89, 36], [20, 42, 53]] ------------------------------ Epoch 1428 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.035168 - Iter 024 / 025, Loss: 0.059622 * Train accuracy / confusion: 97.50% / [[348, 8, 0], [9, 258, 1], [1, 1, 174]], * Val accuracy / confusion: 56.73% / [[150, 48, 32], [47, 91, 37], [28, 33, 54]] ------------------------------ Epoch 1429 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.200500 - Iter 024 / 025, Loss: 0.020081 * Train accuracy / confusion: 98.00% / [[352, 6, 1], [5, 255, 3], [0, 1, 177]], * Val accuracy / confusion: 60.96% / [[157, 45, 28], [52, 104, 19], [30, 29, 56]] ------------------------------ Epoch 1430 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.050009 - Iter 024 / 025, Loss: 0.016966 * Train accuracy / confusion: 98.25% / [[348, 3, 2], [6, 265, 0], [3, 0, 173]], * Val accuracy / confusion: 56.35% / [[150, 50, 30], [46, 93, 36], [36, 29, 50]] ------------------------------ Epoch 1431 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.029012 - Iter 024 / 025, Loss: 0.134118 * Train accuracy / confusion: 98.38% / [[351, 5, 0], [5, 261, 2], [1, 0, 175]], * Val accuracy / confusion: 58.65% / [[159, 47, 24], [43, 94, 38], [26, 37, 52]] ------------------------------ Epoch 1432 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013299 - Iter 024 / 025, Loss: 0.074181 * Train accuracy / confusion: 98.00% / [[351, 1, 1], [4, 259, 7], [0, 3, 174]], * Val accuracy / confusion: 59.23% / [[157, 49, 24], [52, 94, 29], [25, 33, 57]] ------------------------------ Epoch 1433 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.030326 - Iter 024 / 025, Loss: 0.028579 * Train accuracy / confusion: 97.00% / [[347, 4, 4], [6, 259, 4], [3, 3, 170]], * Val accuracy / confusion: 57.31% / [[150, 48, 32], [55, 96, 24], [30, 33, 52]] ------------------------------ Epoch 1434 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.060249 - Iter 024 / 025, Loss: 0.067388 * Train accuracy / confusion: 97.00% / [[346, 4, 3], [10, 259, 0], [3, 4, 171]], * Val accuracy / confusion: 57.69% / [[149, 59, 22], [49, 93, 33], [29, 28, 58]] ------------------------------ Epoch 1435 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.054284 - Iter 024 / 025, Loss: 0.010998 * Train accuracy / confusion: 98.38% / [[354, 4, 0], [2, 261, 5], [0, 2, 172]], * Val accuracy / confusion: 56.92% / [[156, 53, 21], [57, 90, 28], [23, 42, 50]] ------------------------------ Epoch 1436 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.042012 - Iter 024 / 025, Loss: 0.052281 * Train accuracy / confusion: 98.62% / [[356, 2, 2], [4, 259, 1], [1, 1, 174]], * Val accuracy / confusion: 57.50% / [[150, 56, 24], [50, 91, 34], [24, 33, 58]] ------------------------------ Epoch 1437 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.060818 - Iter 024 / 025, Loss: 0.015481 * Train accuracy / confusion: 97.75% / [[353, 2, 2], [7, 259, 1], [4, 2, 170]], * Val accuracy / confusion: 61.15% / [[163, 44, 23], [45, 104, 26], [25, 39, 51]] ------------------------------ Epoch 1438 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.045768 - Iter 024 / 025, Loss: 0.042106 * Train accuracy / confusion: 97.50% / [[341, 7, 2], [6, 260, 2], [3, 0, 179]], * Val accuracy / confusion: 60.19% / [[157, 48, 25], [50, 100, 25], [30, 29, 56]] ------------------------------ Epoch 1439 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.022815 - Iter 024 / 025, Loss: 0.071833 * Train accuracy / confusion: 97.38% / [[349, 7, 1], [6, 259, 4], [2, 1, 171]], * Val accuracy / confusion: 58.65% / [[157, 47, 26], [50, 98, 27], [37, 28, 50]] ------------------------------ Epoch 1440 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.070689 - Iter 024 / 025, Loss: 0.016543 * Train accuracy / confusion: 98.12% / [[351, 1, 1], [5, 265, 2], [4, 2, 169]], * Val accuracy / confusion: 57.88% / [[159, 45, 26], [54, 96, 25], [33, 36, 46]] ------------------------------ Epoch 1441 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.120048 - Iter 024 / 025, Loss: 0.029399 * Train accuracy / confusion: 98.12% / [[351, 3, 2], [8, 261, 0], [2, 0, 173]], * Val accuracy / confusion: 59.42% / [[155, 46, 29], [42, 97, 36], [25, 33, 57]] ------------------------------ Epoch 1442 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009465 - Iter 024 / 025, Loss: 0.014029 * Train accuracy / confusion: 98.38% / [[354, 5, 1], [5, 258, 1], [0, 1, 175]], * Val accuracy / confusion: 59.62% / [[151, 55, 24], [53, 100, 22], [28, 28, 59]] ------------------------------ Epoch 1443 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.105179 - Iter 024 / 025, Loss: 0.044877 * Train accuracy / confusion: 96.38% / [[348, 7, 1], [10, 259, 1], [5, 5, 164]], * Val accuracy / confusion: 56.15% / [[152, 54, 24], [47, 89, 39], [31, 33, 51]] ------------------------------ Epoch 1444 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.160915 - Iter 024 / 025, Loss: 0.181069 * Train accuracy / confusion: 97.38% / [[353, 2, 3], [3, 261, 6], [4, 3, 165]], * Val accuracy / confusion: 57.50% / [[150, 58, 22], [53, 95, 27], [29, 32, 54]] ------------------------------ Epoch 1445 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.022284 - Iter 024 / 025, Loss: 0.066641 * Train accuracy / confusion: 98.00% / [[349, 5, 2], [5, 261, 1], [2, 1, 174]], * Val accuracy / confusion: 58.85% / [[153, 47, 30], [50, 98, 27], [27, 33, 55]] ------------------------------ Epoch 1446 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.071979 - Iter 024 / 025, Loss: 0.103643 * Train accuracy / confusion: 97.62% / [[350, 5, 2], [8, 258, 1], [1, 2, 173]], * Val accuracy / confusion: 58.46% / [[151, 55, 24], [48, 98, 29], [22, 38, 55]] ------------------------------ Epoch 1447 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002340 - Iter 024 / 025, Loss: 0.039538 * Train accuracy / confusion: 98.50% / [[354, 2, 2], [3, 261, 1], [1, 3, 173]], * Val accuracy / confusion: 59.04% / [[158, 47, 25], [50, 93, 32], [29, 30, 56]] ------------------------------ Epoch 1448 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.058888 - Iter 024 / 025, Loss: 0.091242 * Train accuracy / confusion: 97.50% / [[348, 7, 2], [7, 259, 2], [1, 1, 173]], * Val accuracy / confusion: 57.69% / [[151, 51, 28], [50, 94, 31], [21, 39, 55]] ------------------------------ Epoch 1449 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012407 - Iter 024 / 025, Loss: 0.070814 * Train accuracy / confusion: 97.00% / [[352, 7, 0], [9, 253, 3], [2, 3, 171]], * Val accuracy / confusion: 60.77% / [[153, 61, 16], [43, 107, 25], [22, 37, 56]] ------------------------------ Epoch 1450 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007688 - Iter 024 / 025, Loss: 0.040566 * Train accuracy / confusion: 97.50% / [[348, 7, 1], [5, 264, 0], [3, 4, 168]], * Val accuracy / confusion: 57.69% / [[149, 54, 27], [45, 93, 37], [25, 32, 58]] ------------------------------ Epoch 1451 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.141472 - Iter 024 / 025, Loss: 0.022510 * Train accuracy / confusion: 98.25% / [[358, 4, 1], [5, 259, 1], [2, 1, 169]], * Val accuracy / confusion: 59.04% / [[149, 58, 23], [46, 98, 31], [24, 31, 60]] ------------------------------ Epoch 1452 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.023977 - Iter 024 / 025, Loss: 0.106223 * Train accuracy / confusion: 97.75% / [[352, 8, 0], [3, 255, 3], [3, 1, 175]], * Val accuracy / confusion: 59.42% / [[150, 57, 23], [52, 101, 22], [28, 29, 58]] ------------------------------ Epoch 1453 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.059256 - Iter 024 / 025, Loss: 0.014290 * Train accuracy / confusion: 98.62% / [[353, 3, 1], [2, 263, 1], [1, 3, 173]], * Val accuracy / confusion: 57.88% / [[149, 53, 28], [50, 96, 29], [24, 35, 56]] ------------------------------ Epoch 1454 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.042805 - Iter 024 / 025, Loss: 0.101374 * Train accuracy / confusion: 97.50% / [[350, 7, 1], [8, 256, 0], [3, 1, 174]], * Val accuracy / confusion: 59.42% / [[153, 48, 29], [50, 101, 24], [24, 36, 55]] ------------------------------ Epoch 1455 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012310 - Iter 024 / 025, Loss: 0.049639 * Train accuracy / confusion: 98.25% / [[354, 4, 1], [5, 262, 1], [1, 2, 170]], * Val accuracy / confusion: 58.46% / [[159, 40, 31], [48, 91, 36], [27, 34, 54]] ------------------------------ Epoch 1456 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.061088 - Iter 024 / 025, Loss: 0.082101 * Train accuracy / confusion: 97.88% / [[346, 4, 3], [2, 266, 4], [3, 1, 171]], * Val accuracy / confusion: 57.12% / [[152, 46, 32], [44, 93, 38], [26, 37, 52]] ------------------------------ Epoch 1457 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.037894 - Iter 024 / 025, Loss: 0.053227 * Train accuracy / confusion: 97.88% / [[357, 3, 0], [6, 250, 5], [2, 1, 176]], * Val accuracy / confusion: 60.58% / [[151, 49, 30], [40, 108, 27], [27, 32, 56]] ------------------------------ Epoch 1458 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.023806 - Iter 024 / 025, Loss: 0.092686 * Train accuracy / confusion: 97.38% / [[348, 8, 1], [6, 258, 2], [1, 3, 173]], * Val accuracy / confusion: 55.96% / [[152, 57, 21], [53, 90, 32], [29, 37, 49]] ------------------------------ Epoch 1459 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.058671 - Iter 024 / 025, Loss: 0.053234 * Train accuracy / confusion: 97.88% / [[353, 5, 2], [3, 262, 2], [2, 3, 168]], * Val accuracy / confusion: 58.27% / [[155, 46, 29], [52, 96, 27], [31, 32, 52]] ------------------------------ Epoch 1460 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.123014 - Iter 024 / 025, Loss: 0.052844 * Train accuracy / confusion: 97.25% / [[349, 6, 3], [8, 253, 3], [1, 1, 176]], * Val accuracy / confusion: 58.46% / [[152, 49, 29], [48, 95, 32], [27, 31, 57]] ------------------------------ Epoch 1461 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.233801 - Iter 024 / 025, Loss: 0.089110 * Train accuracy / confusion: 98.12% / [[353, 3, 2], [5, 260, 3], [1, 1, 172]], * Val accuracy / confusion: 57.88% / [[154, 48, 28], [47, 91, 37], [27, 32, 56]] ------------------------------ Epoch 1462 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006968 - Iter 024 / 025, Loss: 0.040997 * Train accuracy / confusion: 98.25% / [[351, 5, 0], [5, 260, 0], [0, 4, 175]], * Val accuracy / confusion: 59.62% / [[157, 48, 25], [49, 101, 25], [25, 38, 52]] ------------------------------ Epoch 1463 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.119368 - Iter 024 / 025, Loss: 0.059513 * Train accuracy / confusion: 98.00% / [[352, 5, 0], [8, 257, 1], [1, 1, 175]], * Val accuracy / confusion: 58.27% / [[146, 60, 24], [39, 100, 36], [24, 34, 57]] ------------------------------ Epoch 1464 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024667 - Iter 024 / 025, Loss: 0.016343 * Train accuracy / confusion: 98.12% / [[348, 7, 1], [3, 264, 2], [1, 1, 173]], * Val accuracy / confusion: 59.04% / [[158, 45, 27], [50, 96, 29], [26, 36, 53]] ------------------------------ Epoch 1465 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.073318 - Iter 024 / 025, Loss: 0.038897 * Train accuracy / confusion: 97.38% / [[349, 5, 2], [8, 261, 1], [2, 3, 169]], * Val accuracy / confusion: 60.00% / [[158, 43, 29], [46, 100, 29], [27, 34, 54]] ------------------------------ Epoch 1466 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.267489 - Iter 024 / 025, Loss: 0.020249 * Train accuracy / confusion: 97.38% / [[347, 5, 3], [8, 255, 1], [3, 1, 177]], * Val accuracy / confusion: 57.88% / [[145, 53, 32], [43, 101, 31], [25, 35, 55]] ------------------------------ Epoch 1467 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.049207 - Iter 024 / 025, Loss: 0.187655 * Train accuracy / confusion: 97.62% / [[354, 2, 2], [5, 260, 4], [2, 4, 167]], * Val accuracy / confusion: 57.31% / [[157, 47, 26], [53, 87, 35], [27, 34, 54]] ------------------------------ Epoch 1468 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020242 - Iter 024 / 025, Loss: 0.095935 * Train accuracy / confusion: 97.12% / [[349, 6, 3], [6, 259, 4], [2, 2, 169]], * Val accuracy / confusion: 60.00% / [[158, 48, 24], [44, 100, 31], [26, 35, 54]] ------------------------------ Epoch 1469 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.063550 - Iter 024 / 025, Loss: 0.114112 * Train accuracy / confusion: 97.88% / [[357, 5, 0], [6, 256, 1], [2, 3, 170]], * Val accuracy / confusion: 57.50% / [[152, 51, 27], [51, 92, 32], [29, 31, 55]] ------------------------------ Epoch 1470 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.339231 - Iter 024 / 025, Loss: 0.041324 * Train accuracy / confusion: 96.75% / [[343, 6, 2], [10, 257, 2], [3, 3, 174]], * Val accuracy / confusion: 60.19% / [[157, 51, 22], [46, 101, 28], [26, 34, 55]] ------------------------------ Epoch 1471 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.031868 - Iter 024 / 025, Loss: 0.043344 * Train accuracy / confusion: 98.62% / [[357, 2, 0], [5, 258, 2], [2, 0, 174]], * Val accuracy / confusion: 57.12% / [[148, 55, 27], [39, 98, 38], [24, 40, 51]] ------------------------------ Epoch 1472 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.080366 - Iter 024 / 025, Loss: 0.008005 * Train accuracy / confusion: 97.88% / [[356, 3, 2], [5, 258, 4], [1, 2, 169]], * Val accuracy / confusion: 58.27% / [[151, 46, 33], [51, 95, 29], [26, 32, 57]] ------------------------------ Epoch 1473 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013196 - Iter 024 / 025, Loss: 0.024758 * Train accuracy / confusion: 98.50% / [[350, 3, 2], [3, 266, 2], [1, 1, 172]], * Val accuracy / confusion: 57.50% / [[151, 51, 28], [48, 96, 31], [27, 36, 52]] ------------------------------ Epoch 1474 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.051044 - Iter 024 / 025, Loss: 0.013130 * Train accuracy / confusion: 97.88% / [[349, 3, 2], [4, 264, 0], [4, 4, 170]], * Val accuracy / confusion: 58.27% / [[155, 44, 31], [50, 99, 26], [32, 34, 49]] ------------------------------ Epoch 1475 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.025330 - Iter 024 / 025, Loss: 0.042328 * Train accuracy / confusion: 98.62% / [[352, 0, 3], [5, 257, 2], [0, 1, 180]], * Val accuracy / confusion: 59.62% / [[155, 48, 27], [46, 101, 28], [30, 31, 54]] ------------------------------ Epoch 1476 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.025306 - Iter 024 / 025, Loss: 0.073090 * Train accuracy / confusion: 97.75% / [[352, 5, 1], [7, 255, 0], [1, 4, 175]], * Val accuracy / confusion: 57.69% / [[157, 42, 31], [57, 90, 28], [36, 26, 53]] ------------------------------ Epoch 1477 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.053610 - Iter 024 / 025, Loss: 0.031451 * Train accuracy / confusion: 98.00% / [[351, 8, 1], [4, 260, 1], [2, 0, 173]], * Val accuracy / confusion: 57.31% / [[146, 57, 27], [41, 102, 32], [32, 33, 50]] ------------------------------ Epoch 1478 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.073069 - Iter 024 / 025, Loss: 0.010367 * Train accuracy / confusion: 96.50% / [[343, 8, 3], [9, 255, 3], [3, 2, 174]], * Val accuracy / confusion: 57.31% / [[156, 54, 20], [51, 90, 34], [29, 34, 52]] ------------------------------ Epoch 1479 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009041 - Iter 024 / 025, Loss: 0.071918 * Train accuracy / confusion: 97.25% / [[355, 6, 0], [6, 253, 4], [3, 3, 170]], * Val accuracy / confusion: 58.65% / [[149, 56, 25], [47, 95, 33], [25, 29, 61]] ------------------------------ Epoch 1480 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.087855 - Iter 024 / 025, Loss: 0.019042 * Train accuracy / confusion: 97.38% / [[349, 4, 2], [10, 256, 2], [2, 1, 174]], * Val accuracy / confusion: 58.46% / [[158, 50, 22], [57, 93, 25], [31, 31, 53]] ------------------------------ Epoch 1481 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.087485 - Iter 024 / 025, Loss: 0.223268 * Train accuracy / confusion: 97.88% / [[354, 2, 2], [5, 258, 1], [4, 3, 171]], * Val accuracy / confusion: 60.77% / [[162, 48, 20], [46, 104, 25], [30, 35, 50]] ------------------------------ Epoch 1482 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.031226 - Iter 024 / 025, Loss: 0.044938 * Train accuracy / confusion: 98.00% / [[352, 3, 2], [7, 260, 1], [1, 2, 172]], * Val accuracy / confusion: 58.65% / [[144, 58, 28], [43, 100, 32], [25, 29, 61]] ------------------------------ Epoch 1483 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.106828 - Iter 024 / 025, Loss: 0.063687 * Train accuracy / confusion: 98.38% / [[358, 2, 0], [3, 261, 5], [1, 2, 168]], * Val accuracy / confusion: 60.96% / [[151, 52, 27], [40, 103, 32], [20, 32, 63]] ------------------------------ Epoch 1484 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.031928 - Iter 024 / 025, Loss: 0.072108 * Train accuracy / confusion: 98.62% / [[345, 2, 2], [6, 266, 0], [0, 1, 178]], * Val accuracy / confusion: 59.23% / [[158, 43, 29], [55, 94, 26], [30, 29, 56]] ------------------------------ Epoch 1485 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015633 - Iter 024 / 025, Loss: 0.066358 * Train accuracy / confusion: 98.50% / [[350, 5, 1], [3, 261, 2], [0, 1, 177]], * Val accuracy / confusion: 58.27% / [[154, 52, 24], [46, 96, 33], [29, 33, 53]] ------------------------------ Epoch 1486 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010429 - Iter 024 / 025, Loss: 0.030160 * Train accuracy / confusion: 97.75% / [[352, 4, 2], [5, 259, 4], [1, 2, 171]], * Val accuracy / confusion: 60.38% / [[157, 45, 28], [49, 96, 30], [28, 26, 61]] ------------------------------ Epoch 1487 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.077794 - Iter 024 / 025, Loss: 0.026355 * Train accuracy / confusion: 97.12% / [[350, 3, 4], [9, 256, 3], [2, 2, 171]], * Val accuracy / confusion: 57.50% / [[152, 49, 29], [48, 97, 30], [34, 31, 50]] ------------------------------ Epoch 1488 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.126581 - Iter 024 / 025, Loss: 0.017776 * Train accuracy / confusion: 97.75% / [[350, 4, 5], [3, 261, 1], [1, 4, 171]], * Val accuracy / confusion: 57.12% / [[150, 61, 19], [47, 90, 38], [22, 36, 57]] ------------------------------ Epoch 1489 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.017509 - Iter 024 / 025, Loss: 0.037932 * Train accuracy / confusion: 98.12% / [[352, 3, 2], [3, 263, 0], [3, 4, 170]], * Val accuracy / confusion: 59.62% / [[154, 49, 27], [48, 99, 28], [25, 33, 57]] ------------------------------ Epoch 1490 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011222 - Iter 024 / 025, Loss: 0.025820 * Train accuracy / confusion: 98.00% / [[350, 4, 0], [5, 260, 3], [1, 3, 174]], * Val accuracy / confusion: 59.04% / [[158, 44, 28], [50, 90, 35], [27, 29, 59]] ------------------------------ Epoch 1491 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011430 - Iter 024 / 025, Loss: 0.013956 * Train accuracy / confusion: 98.75% / [[344, 7, 0], [1, 270, 2], [0, 0, 176]], * Val accuracy / confusion: 57.50% / [[153, 47, 30], [50, 94, 31], [32, 31, 52]] ------------------------------ Epoch 1492 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.157204 - Iter 024 / 025, Loss: 0.040701 * Train accuracy / confusion: 97.50% / [[350, 6, 1], [6, 258, 1], [3, 3, 172]], * Val accuracy / confusion: 60.58% / [[150, 58, 22], [35, 100, 40], [25, 25, 65]] ------------------------------ Epoch 1493 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.085331 - Iter 024 / 025, Loss: 0.066353 * Train accuracy / confusion: 97.12% / [[348, 9, 1], [6, 261, 3], [1, 3, 168]], * Val accuracy / confusion: 58.85% / [[153, 46, 31], [48, 100, 27], [29, 33, 53]] ------------------------------ Epoch 1494 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.033565 - Iter 024 / 025, Loss: 0.141182 * Train accuracy / confusion: 96.75% / [[351, 6, 1], [13, 253, 1], [4, 1, 170]], * Val accuracy / confusion: 57.88% / [[151, 49, 30], [54, 93, 28], [30, 28, 57]] ------------------------------ Epoch 1495 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.023838 - Iter 024 / 025, Loss: 0.108230 * Train accuracy / confusion: 98.12% / [[351, 3, 0], [5, 261, 3], [1, 3, 173]], * Val accuracy / confusion: 56.15% / [[149, 56, 25], [50, 90, 35], [30, 32, 53]] ------------------------------ Epoch 1496 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.060981 - Iter 024 / 025, Loss: 0.083207 * Train accuracy / confusion: 97.88% / [[349, 3, 2], [3, 263, 6], [2, 1, 171]], * Val accuracy / confusion: 58.85% / [[158, 54, 18], [50, 95, 30], [32, 30, 53]] ------------------------------ Epoch 1497 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024974 - Iter 024 / 025, Loss: 0.100728 * Train accuracy / confusion: 97.38% / [[346, 7, 0], [7, 260, 2], [2, 3, 173]], * Val accuracy / confusion: 58.65% / [[150, 51, 29], [56, 94, 25], [28, 26, 61]] ------------------------------ Epoch 1498 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.027596 - Iter 024 / 025, Loss: 0.078267 * Train accuracy / confusion: 97.62% / [[352, 8, 1], [5, 260, 0], [2, 3, 169]], * Val accuracy / confusion: 57.31% / [[151, 47, 32], [45, 95, 35], [26, 37, 52]] ------------------------------ Epoch 1499 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.215577 - Iter 024 / 025, Loss: 0.046733 * Train accuracy / confusion: 98.12% / [[348, 7, 1], [5, 262, 1], [0, 1, 175]], * Val accuracy / confusion: 57.12% / [[144, 52, 34], [46, 98, 31], [24, 36, 55]] ------------------------------ Epoch 1500 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.026724 - Iter 024 / 025, Loss: 0.079628 * Train accuracy / confusion: 98.00% / [[353, 5, 1], [4, 259, 1], [4, 1, 172]], * Val accuracy / confusion: 60.19% / [[157, 43, 30], [42, 102, 31], [27, 34, 54]] ------------------------------ Epoch 1501 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015147 - Iter 024 / 025, Loss: 0.115169 * Train accuracy / confusion: 98.75% / [[356, 3, 0], [3, 261, 2], [0, 2, 173]], * Val accuracy / confusion: 60.19% / [[158, 45, 27], [48, 103, 24], [26, 37, 52]] ------------------------------ Epoch 1502 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.095300 - Iter 024 / 025, Loss: 0.018642 * Train accuracy / confusion: 98.25% / [[350, 3, 2], [5, 264, 1], [1, 2, 172]], * Val accuracy / confusion: 55.19% / [[145, 53, 32], [56, 85, 34], [28, 30, 57]] ------------------------------ Epoch 1503 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.093176 - Iter 024 / 025, Loss: 0.102919 * Train accuracy / confusion: 97.12% / [[349, 3, 4], [10, 256, 2], [3, 1, 172]], * Val accuracy / confusion: 57.88% / [[148, 56, 26], [50, 89, 36], [25, 26, 64]] ------------------------------ Epoch 1504 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.058180 - Iter 024 / 025, Loss: 0.023680 * Train accuracy / confusion: 97.88% / [[356, 3, 0], [7, 253, 2], [1, 4, 174]], * Val accuracy / confusion: 60.00% / [[155, 51, 24], [53, 97, 25], [23, 32, 60]] ------------------------------ Epoch 1505 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.035323 - Iter 024 / 025, Loss: 0.073682 * Train accuracy / confusion: 98.00% / [[351, 3, 1], [7, 261, 3], [0, 2, 172]], * Val accuracy / confusion: 59.81% / [[156, 51, 23], [48, 100, 27], [27, 33, 55]] ------------------------------ Epoch 1506 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.061464 - Iter 024 / 025, Loss: 0.140496 * Train accuracy / confusion: 98.12% / [[350, 3, 1], [8, 261, 1], [0, 2, 174]], * Val accuracy / confusion: 58.65% / [[158, 44, 28], [57, 94, 24], [31, 31, 53]] ------------------------------ Epoch 1507 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.111311 - Iter 024 / 025, Loss: 0.016103 * Train accuracy / confusion: 97.50% / [[349, 6, 3], [9, 257, 0], [2, 0, 174]], * Val accuracy / confusion: 59.62% / [[157, 49, 24], [52, 96, 27], [30, 28, 57]] ------------------------------ Epoch 1508 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.033088 - Iter 024 / 025, Loss: 0.024426 * Train accuracy / confusion: 98.12% / [[346, 5, 3], [2, 267, 2], [2, 1, 172]], * Val accuracy / confusion: 60.58% / [[154, 52, 24], [52, 98, 25], [26, 26, 63]] ------------------------------ Epoch 1509 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.100544 - Iter 024 / 025, Loss: 0.011632 * Train accuracy / confusion: 97.12% / [[352, 5, 2], [8, 254, 2], [2, 4, 171]], * Val accuracy / confusion: 59.23% / [[149, 58, 23], [49, 98, 28], [19, 35, 61]] ------------------------------ Epoch 1510 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.082900 - Iter 024 / 025, Loss: 0.049238 * Train accuracy / confusion: 98.00% / [[345, 7, 3], [3, 263, 1], [1, 1, 176]], * Val accuracy / confusion: 59.23% / [[152, 50, 28], [47, 95, 33], [24, 30, 61]] ------------------------------ Epoch 1511 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.098102 - Iter 024 / 025, Loss: 0.079077 * Train accuracy / confusion: 98.00% / [[348, 4, 2], [5, 264, 2], [2, 1, 172]], * Val accuracy / confusion: 59.23% / [[167, 43, 20], [54, 93, 28], [38, 29, 48]] ------------------------------ Epoch 1512 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.054656 - Iter 024 / 025, Loss: 0.041637 * Train accuracy / confusion: 98.50% / [[351, 3, 0], [3, 261, 4], [0, 2, 176]], * Val accuracy / confusion: 59.81% / [[156, 48, 26], [46, 98, 31], [26, 32, 57]] ------------------------------ Epoch 1513 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.095847 - Iter 024 / 025, Loss: 0.032062 * Train accuracy / confusion: 98.88% / [[349, 0, 4], [3, 265, 1], [1, 0, 177]], * Val accuracy / confusion: 59.81% / [[158, 41, 31], [45, 98, 32], [32, 28, 55]] ------------------------------ Epoch 1514 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.095406 - Iter 024 / 025, Loss: 0.098506 * Train accuracy / confusion: 97.62% / [[348, 7, 0], [4, 263, 4], [3, 1, 170]], * Val accuracy / confusion: 58.27% / [[159, 43, 28], [53, 86, 36], [27, 30, 58]] ------------------------------ Epoch 1515 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.044700 - Iter 024 / 025, Loss: 0.051534 * Train accuracy / confusion: 98.38% / [[349, 3, 1], [5, 264, 3], [0, 1, 174]], * Val accuracy / confusion: 58.65% / [[154, 54, 22], [49, 94, 32], [23, 35, 57]] ------------------------------ Epoch 1516 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.050124 - Iter 024 / 025, Loss: 0.040449 * Train accuracy / confusion: 96.88% / [[348, 6, 3], [8, 256, 4], [0, 4, 171]], * Val accuracy / confusion: 58.65% / [[163, 37, 30], [52, 87, 36], [29, 31, 55]] ------------------------------ Epoch 1517 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.094090 - Iter 024 / 025, Loss: 0.023392 * Train accuracy / confusion: 97.38% / [[349, 4, 1], [8, 260, 1], [2, 5, 170]], * Val accuracy / confusion: 59.04% / [[168, 42, 20], [60, 86, 29], [32, 30, 53]] ------------------------------ Epoch 1518 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.036390 - Iter 024 / 025, Loss: 0.095056 * Train accuracy / confusion: 98.62% / [[357, 1, 1], [4, 260, 1], [2, 2, 172]], * Val accuracy / confusion: 58.08% / [[155, 54, 21], [56, 92, 27], [29, 31, 55]] ------------------------------ Epoch 1519 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.143599 - Iter 024 / 025, Loss: 0.099997 * Train accuracy / confusion: 97.00% / [[345, 7, 3], [6, 259, 3], [3, 2, 172]], * Val accuracy / confusion: 60.58% / [[160, 48, 22], [46, 99, 30], [28, 31, 56]] ------------------------------ Epoch 1520 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018771 - Iter 024 / 025, Loss: 0.006517 * Train accuracy / confusion: 98.12% / [[349, 3, 0], [7, 262, 3], [1, 1, 174]], * Val accuracy / confusion: 59.23% / [[156, 48, 26], [50, 94, 31], [28, 29, 58]] ------------------------------ Epoch 1521 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.098985 - Iter 024 / 025, Loss: 0.182711 * Train accuracy / confusion: 98.25% / [[353, 5, 1], [5, 262, 2], [0, 1, 171]], * Val accuracy / confusion: 58.08% / [[157, 46, 27], [41, 92, 42], [24, 38, 53]] ------------------------------ Epoch 1522 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.035484 - Iter 024 / 025, Loss: 0.093573 * Train accuracy / confusion: 96.75% / [[343, 9, 2], [5, 258, 8], [2, 0, 173]], * Val accuracy / confusion: 60.38% / [[163, 43, 24], [43, 96, 36], [25, 35, 55]] ------------------------------ Epoch 1523 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018024 - Iter 024 / 025, Loss: 0.027498 * Train accuracy / confusion: 97.62% / [[353, 1, 1], [11, 255, 3], [2, 1, 173]], * Val accuracy / confusion: 58.27% / [[149, 58, 23], [50, 95, 30], [29, 27, 59]] ------------------------------ Epoch 1524 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.066199 - Iter 024 / 025, Loss: 0.097513 * Train accuracy / confusion: 98.38% / [[360, 4, 0], [2, 253, 4], [0, 3, 174]], * Val accuracy / confusion: 58.46% / [[155, 51, 24], [51, 95, 29], [29, 32, 54]] ------------------------------ Epoch 1525 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.036187 - Iter 024 / 025, Loss: 0.010579 * Train accuracy / confusion: 97.50% / [[348, 5, 4], [4, 262, 1], [1, 5, 170]], * Val accuracy / confusion: 58.65% / [[155, 62, 13], [44, 99, 32], [24, 40, 51]] ------------------------------ Epoch 1526 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.038588 - Iter 024 / 025, Loss: 0.066225 * Train accuracy / confusion: 97.88% / [[351, 4, 1], [7, 261, 1], [3, 1, 171]], * Val accuracy / confusion: 58.27% / [[153, 55, 22], [44, 102, 29], [27, 40, 48]] ------------------------------ Epoch 1527 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.097063 - Iter 024 / 025, Loss: 0.029638 * Train accuracy / confusion: 98.00% / [[349, 4, 0], [5, 261, 5], [0, 2, 174]], * Val accuracy / confusion: 60.96% / [[163, 43, 24], [49, 97, 29], [25, 33, 57]] ------------------------------ Epoch 1528 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.080809 - Iter 024 / 025, Loss: 0.024765 * Train accuracy / confusion: 97.75% / [[350, 5, 1], [3, 262, 3], [4, 2, 170]], * Val accuracy / confusion: 58.65% / [[152, 46, 32], [48, 94, 33], [24, 32, 59]] ------------------------------ Epoch 1529 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.063525 - Iter 024 / 025, Loss: 0.050481 * Train accuracy / confusion: 97.25% / [[348, 9, 0], [8, 256, 1], [1, 3, 174]], * Val accuracy / confusion: 60.38% / [[168, 41, 21], [37, 94, 44], [29, 34, 52]] ------------------------------ Epoch 1530 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024261 - Iter 024 / 025, Loss: 0.088957 * Train accuracy / confusion: 98.50% / [[347, 5, 0], [2, 265, 4], [0, 1, 176]], * Val accuracy / confusion: 61.54% / [[158, 50, 22], [43, 105, 27], [27, 31, 57]] ------------------------------ Epoch 1531 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.021798 - Iter 024 / 025, Loss: 0.068166 * Train accuracy / confusion: 97.75% / [[350, 7, 1], [4, 263, 3], [1, 2, 169]], * Val accuracy / confusion: 58.27% / [[154, 47, 29], [57, 88, 30], [25, 29, 61]] ------------------------------ Epoch 1532 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.035210 - Iter 024 / 025, Loss: 0.019588 * Train accuracy / confusion: 97.38% / [[344, 10, 2], [4, 259, 3], [0, 2, 176]], * Val accuracy / confusion: 57.12% / [[145, 57, 28], [51, 92, 32], [23, 32, 60]] ------------------------------ Epoch 1533 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.076741 - Iter 024 / 025, Loss: 0.016889 * Train accuracy / confusion: 97.88% / [[351, 2, 2], [5, 264, 4], [3, 1, 168]], * Val accuracy / confusion: 59.62% / [[152, 48, 30], [46, 99, 30], [21, 35, 59]] ------------------------------ Epoch 1534 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.038092 - Iter 024 / 025, Loss: 0.185934 * Train accuracy / confusion: 96.38% / [[344, 9, 2], [7, 259, 3], [2, 6, 168]], * Val accuracy / confusion: 60.00% / [[153, 47, 30], [43, 103, 29], [23, 36, 56]] ------------------------------ Epoch 1535 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.046059 - Iter 024 / 025, Loss: 0.183490 * Train accuracy / confusion: 96.62% / [[354, 4, 2], [11, 251, 3], [4, 3, 168]], * Val accuracy / confusion: 60.58% / [[161, 47, 22], [46, 106, 23], [30, 37, 48]] ------------------------------ Epoch 1536 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.054564 - Iter 024 / 025, Loss: 0.033795 * Train accuracy / confusion: 98.00% / [[352, 5, 2], [7, 256, 1], [0, 1, 176]], * Val accuracy / confusion: 54.62% / [[150, 59, 21], [57, 89, 29], [33, 37, 45]] ------------------------------ Epoch 1537 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.086529 - Iter 024 / 025, Loss: 0.134779 * Train accuracy / confusion: 96.75% / [[347, 10, 3], [7, 257, 3], [3, 0, 170]], * Val accuracy / confusion: 57.31% / [[151, 52, 27], [56, 91, 28], [30, 29, 56]] ------------------------------ Epoch 1538 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.058113 - Iter 024 / 025, Loss: 0.059379 * Train accuracy / confusion: 98.38% / [[348, 2, 2], [5, 266, 1], [1, 2, 173]], * Val accuracy / confusion: 57.31% / [[148, 54, 28], [47, 100, 28], [31, 34, 50]] ------------------------------ Epoch 1539 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.255446 - Iter 024 / 025, Loss: 0.098501 * Train accuracy / confusion: 97.62% / [[343, 8, 2], [5, 263, 1], [2, 1, 175]], * Val accuracy / confusion: 55.58% / [[152, 52, 26], [54, 87, 34], [25, 40, 50]] ------------------------------ Epoch 1540 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.008551 - Iter 024 / 025, Loss: 0.015963 * Train accuracy / confusion: 97.88% / [[349, 4, 4], [5, 263, 0], [2, 2, 171]], * Val accuracy / confusion: 60.19% / [[152, 47, 31], [42, 107, 26], [26, 35, 54]] ------------------------------ Epoch 1541 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.252755 - Iter 024 / 025, Loss: 0.051721 * Train accuracy / confusion: 97.00% / [[349, 5, 0], [7, 256, 6], [1, 5, 171]], * Val accuracy / confusion: 58.85% / [[155, 54, 21], [54, 99, 22], [27, 36, 52]] ------------------------------ Epoch 1542 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.055215 - Iter 024 / 025, Loss: 0.045277 * Train accuracy / confusion: 97.50% / [[347, 5, 1], [7, 260, 3], [2, 2, 173]], * Val accuracy / confusion: 56.35% / [[154, 46, 30], [47, 91, 37], [28, 39, 48]] ------------------------------ Epoch 1543 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018076 - Iter 024 / 025, Loss: 0.057860 * Train accuracy / confusion: 97.25% / [[348, 3, 2], [10, 254, 6], [0, 1, 176]], * Val accuracy / confusion: 57.69% / [[159, 42, 29], [56, 87, 32], [27, 34, 54]] ------------------------------ Epoch 1544 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.064938 - Iter 024 / 025, Loss: 0.214452 * Train accuracy / confusion: 96.62% / [[341, 7, 4], [9, 257, 4], [1, 2, 175]], * Val accuracy / confusion: 57.12% / [[156, 51, 23], [50, 96, 29], [27, 43, 45]] ------------------------------ Epoch 1545 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.109817 - Iter 024 / 025, Loss: 0.057326 * Train accuracy / confusion: 97.62% / [[353, 6, 2], [7, 255, 3], [0, 1, 173]], * Val accuracy / confusion: 58.27% / [[155, 54, 21], [47, 98, 30], [24, 41, 50]] ------------------------------ Epoch 1546 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015706 - Iter 024 / 025, Loss: 0.165291 * Train accuracy / confusion: 97.62% / [[349, 6, 0], [7, 259, 1], [4, 1, 173]], * Val accuracy / confusion: 59.42% / [[154, 43, 33], [41, 100, 34], [27, 33, 55]] ------------------------------ Epoch 1547 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.132023 - Iter 024 / 025, Loss: 0.045061 * Train accuracy / confusion: 97.38% / [[351, 5, 2], [11, 251, 1], [1, 1, 177]], * Val accuracy / confusion: 59.42% / [[153, 56, 21], [46, 100, 29], [31, 28, 56]] ------------------------------ Epoch 1548 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.064119 - Iter 024 / 025, Loss: 0.060625 * Train accuracy / confusion: 97.38% / [[349, 5, 1], [6, 264, 3], [4, 2, 166]], * Val accuracy / confusion: 59.23% / [[158, 51, 21], [52, 94, 29], [27, 32, 56]] ------------------------------ Epoch 1549 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.133660 - Iter 024 / 025, Loss: 0.043264 * Train accuracy / confusion: 97.38% / [[351, 8, 0], [7, 260, 2], [2, 2, 168]], * Val accuracy / confusion: 59.62% / [[155, 53, 22], [53, 104, 18], [23, 41, 51]] ------------------------------ Epoch 1550 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.253570 - Iter 024 / 025, Loss: 0.139795 * Train accuracy / confusion: 98.00% / [[350, 4, 1], [7, 260, 2], [0, 2, 174]], * Val accuracy / confusion: 60.00% / [[155, 54, 21], [52, 101, 22], [24, 35, 56]] ------------------------------ Epoch 1551 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.033961 - Iter 024 / 025, Loss: 0.077891 * Train accuracy / confusion: 98.12% / [[345, 4, 2], [4, 267, 3], [1, 1, 173]], * Val accuracy / confusion: 59.23% / [[160, 39, 31], [61, 87, 27], [32, 22, 61]] ------------------------------ Epoch 1552 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.140011 - Iter 024 / 025, Loss: 0.021831 * Train accuracy / confusion: 98.12% / [[352, 3, 1], [6, 263, 3], [2, 0, 170]], * Val accuracy / confusion: 57.50% / [[149, 47, 34], [50, 97, 28], [34, 28, 53]] ------------------------------ Epoch 1553 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.021982 - Iter 024 / 025, Loss: 0.028696 * Train accuracy / confusion: 97.25% / [[349, 7, 0], [4, 262, 3], [2, 6, 167]], * Val accuracy / confusion: 58.27% / [[160, 42, 28], [56, 91, 28], [33, 30, 52]] ------------------------------ Epoch 1554 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015231 - Iter 024 / 025, Loss: 0.110608 * Train accuracy / confusion: 98.38% / [[348, 5, 1], [4, 264, 1], [1, 1, 175]], * Val accuracy / confusion: 58.85% / [[159, 51, 20], [56, 95, 24], [28, 35, 52]] ------------------------------ Epoch 1555 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.176923 - Iter 024 / 025, Loss: 0.071563 * Train accuracy / confusion: 97.25% / [[345, 5, 2], [8, 259, 1], [3, 3, 174]], * Val accuracy / confusion: 58.46% / [[145, 56, 29], [45, 100, 30], [29, 27, 59]] ------------------------------ Epoch 1556 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.048006 - Iter 024 / 025, Loss: 0.084045 * Train accuracy / confusion: 97.88% / [[348, 6, 2], [5, 258, 2], [2, 0, 177]], * Val accuracy / confusion: 58.65% / [[160, 51, 19], [56, 97, 22], [33, 34, 48]] ------------------------------ Epoch 1557 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016215 - Iter 024 / 025, Loss: 0.094747 * Train accuracy / confusion: 97.38% / [[348, 8, 2], [6, 257, 3], [1, 1, 174]], * Val accuracy / confusion: 58.27% / [[149, 51, 30], [49, 91, 35], [19, 33, 63]] ------------------------------ Epoch 1558 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.036333 - Iter 024 / 025, Loss: 0.042716 * Train accuracy / confusion: 98.88% / [[349, 4, 1], [2, 265, 1], [0, 1, 177]], * Val accuracy / confusion: 55.58% / [[146, 53, 31], [44, 91, 40], [27, 36, 52]] ------------------------------ Epoch 1559 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.035084 - Iter 024 / 025, Loss: 0.022477 * Train accuracy / confusion: 97.00% / [[350, 7, 3], [6, 256, 2], [3, 3, 170]], * Val accuracy / confusion: 57.69% / [[155, 52, 23], [53, 89, 33], [30, 29, 56]] ------------------------------ Epoch 1560 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.017884 - Iter 024 / 025, Loss: 0.046116 * Train accuracy / confusion: 97.62% / [[349, 5, 3], [5, 258, 2], [4, 0, 174]], * Val accuracy / confusion: 58.08% / [[151, 57, 22], [49, 94, 32], [21, 37, 57]] ------------------------------ Epoch 1561 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020485 - Iter 024 / 025, Loss: 0.073125 * Train accuracy / confusion: 98.38% / [[352, 5, 0], [4, 261, 3], [0, 1, 174]], * Val accuracy / confusion: 58.08% / [[159, 42, 29], [48, 93, 34], [31, 34, 50]] ------------------------------ Epoch 1562 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.063465 - Iter 024 / 025, Loss: 0.010461 * Train accuracy / confusion: 97.50% / [[347, 7, 1], [8, 257, 3], [0, 1, 176]], * Val accuracy / confusion: 57.50% / [[153, 54, 23], [55, 94, 26], [29, 34, 52]] ------------------------------ Epoch 1563 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.062124 - Iter 024 / 025, Loss: 0.046795 * Train accuracy / confusion: 98.12% / [[360, 0, 2], [6, 256, 3], [0, 4, 169]], * Val accuracy / confusion: 57.69% / [[157, 46, 27], [48, 95, 32], [26, 41, 48]] ------------------------------ Epoch 1564 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004861 - Iter 024 / 025, Loss: 0.054411 * Train accuracy / confusion: 98.50% / [[355, 3, 2], [1, 262, 1], [0, 5, 171]], * Val accuracy / confusion: 60.58% / [[158, 43, 29], [51, 95, 29], [27, 26, 62]] ------------------------------ Epoch 1565 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.055111 - Iter 024 / 025, Loss: 0.063841 * Train accuracy / confusion: 97.50% / [[353, 5, 2], [7, 256, 0], [2, 4, 171]], * Val accuracy / confusion: 57.69% / [[154, 49, 27], [50, 91, 34], [26, 34, 55]] ------------------------------ Epoch 1566 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015239 - Iter 024 / 025, Loss: 0.019158 * Train accuracy / confusion: 98.50% / [[354, 2, 2], [4, 264, 1], [0, 3, 170]], * Val accuracy / confusion: 59.23% / [[162, 45, 23], [49, 95, 31], [28, 36, 51]] ------------------------------ Epoch 1567 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012403 - Iter 024 / 025, Loss: 0.019163 * Train accuracy / confusion: 97.88% / [[357, 3, 0], [8, 255, 2], [1, 3, 171]], * Val accuracy / confusion: 59.23% / [[154, 44, 32], [47, 99, 29], [24, 36, 55]] ------------------------------ Epoch 1568 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020025 - Iter 024 / 025, Loss: 0.027483 * Train accuracy / confusion: 98.00% / [[352, 3, 2], [5, 257, 3], [2, 1, 175]], * Val accuracy / confusion: 60.77% / [[164, 45, 21], [49, 98, 28], [24, 37, 54]] ------------------------------ Epoch 1569 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.014487 - Iter 024 / 025, Loss: 0.063854 * Train accuracy / confusion: 97.38% / [[348, 5, 3], [5, 260, 1], [5, 2, 171]], * Val accuracy / confusion: 58.08% / [[148, 58, 24], [44, 95, 36], [27, 29, 59]] ------------------------------ Epoch 1570 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.046941 - Iter 024 / 025, Loss: 0.112423 * Train accuracy / confusion: 98.88% / [[349, 1, 1], [2, 271, 0], [3, 2, 171]], * Val accuracy / confusion: 58.65% / [[160, 43, 27], [51, 90, 34], [26, 34, 55]] ------------------------------ Epoch 1571 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.209676 - Iter 024 / 025, Loss: 0.133278 * Train accuracy / confusion: 97.12% / [[349, 7, 1], [6, 262, 1], [5, 3, 166]], * Val accuracy / confusion: 61.35% / [[174, 31, 25], [52, 90, 33], [32, 28, 55]] ------------------------------ Epoch 1572 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.109630 - Iter 024 / 025, Loss: 0.047515 * Train accuracy / confusion: 97.62% / [[348, 6, 1], [3, 261, 3], [2, 4, 172]], * Val accuracy / confusion: 56.54% / [[153, 46, 31], [45, 88, 42], [21, 41, 53]] ------------------------------ Epoch 1573 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.084384 - Iter 024 / 025, Loss: 0.194733 * Train accuracy / confusion: 97.50% / [[350, 5, 1], [9, 256, 3], [0, 2, 174]], * Val accuracy / confusion: 57.69% / [[146, 53, 31], [47, 96, 32], [26, 31, 58]] ------------------------------ Epoch 1574 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.046484 - Iter 024 / 025, Loss: 0.021808 * Train accuracy / confusion: 98.00% / [[349, 5, 1], [3, 261, 3], [2, 2, 174]], * Val accuracy / confusion: 57.69% / [[149, 56, 25], [57, 90, 28], [25, 29, 61]] ------------------------------ Epoch 1575 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.030151 - Iter 024 / 025, Loss: 0.011756 * Train accuracy / confusion: 98.62% / [[353, 1, 0], [3, 264, 2], [2, 3, 172]], * Val accuracy / confusion: 55.58% / [[148, 53, 29], [63, 84, 28], [28, 30, 57]] ------------------------------ Epoch 1576 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.118625 - Iter 024 / 025, Loss: 0.090105 * Train accuracy / confusion: 98.00% / [[353, 5, 3], [5, 258, 2], [1, 0, 173]], * Val accuracy / confusion: 59.81% / [[160, 50, 20], [50, 93, 32], [25, 32, 58]] ------------------------------ Epoch 1577 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.098140 - Iter 024 / 025, Loss: 0.033860 * Train accuracy / confusion: 98.38% / [[348, 5, 0], [3, 265, 2], [1, 2, 174]], * Val accuracy / confusion: 58.46% / [[155, 53, 22], [50, 96, 29], [32, 30, 53]] ------------------------------ Epoch 1578 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.200902 - Iter 024 / 025, Loss: 0.082434 * Train accuracy / confusion: 97.62% / [[347, 3, 2], [4, 263, 5], [3, 2, 171]], * Val accuracy / confusion: 58.27% / [[151, 50, 29], [52, 98, 25], [24, 37, 54]] ------------------------------ Epoch 1579 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.043097 - Iter 024 / 025, Loss: 0.062691 * Train accuracy / confusion: 98.12% / [[355, 4, 1], [5, 260, 1], [2, 2, 170]], * Val accuracy / confusion: 58.08% / [[145, 57, 28], [48, 98, 29], [25, 31, 59]] ------------------------------ Epoch 1580 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.036164 - Iter 024 / 025, Loss: 0.040393 * Train accuracy / confusion: 97.50% / [[352, 4, 2], [3, 259, 5], [3, 3, 169]], * Val accuracy / confusion: 58.46% / [[158, 46, 26], [51, 90, 34], [30, 29, 56]] ------------------------------ Epoch 1581 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.082087 - Iter 024 / 025, Loss: 0.153453 * Train accuracy / confusion: 98.12% / [[349, 2, 1], [3, 264, 1], [3, 5, 172]], * Val accuracy / confusion: 58.85% / [[157, 49, 24], [48, 101, 26], [31, 36, 48]] ------------------------------ Epoch 1582 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020432 - Iter 024 / 025, Loss: 0.018924 * Train accuracy / confusion: 97.38% / [[349, 4, 1], [8, 259, 2], [2, 4, 171]], * Val accuracy / confusion: 60.38% / [[160, 54, 16], [45, 100, 30], [25, 36, 54]] ------------------------------ Epoch 1583 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.027823 - Iter 024 / 025, Loss: 0.159197 * Train accuracy / confusion: 97.75% / [[351, 2, 1], [9, 257, 1], [2, 3, 174]], * Val accuracy / confusion: 61.54% / [[168, 43, 19], [52, 96, 27], [30, 29, 56]] ------------------------------ Epoch 1584 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.028273 - Iter 024 / 025, Loss: 0.320718 * Train accuracy / confusion: 98.25% / [[355, 2, 1], [5, 257, 3], [1, 2, 174]], * Val accuracy / confusion: 58.46% / [[154, 54, 22], [44, 98, 33], [28, 35, 52]] ------------------------------ Epoch 1585 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010792 - Iter 024 / 025, Loss: 0.033287 * Train accuracy / confusion: 98.25% / [[356, 3, 0], [6, 258, 2], [2, 1, 172]], * Val accuracy / confusion: 59.23% / [[147, 59, 24], [50, 102, 23], [24, 32, 59]] ------------------------------ Epoch 1586 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.037743 - Iter 024 / 025, Loss: 0.072736 * Train accuracy / confusion: 98.25% / [[353, 4, 1], [6, 260, 1], [1, 1, 173]], * Val accuracy / confusion: 59.81% / [[151, 48, 31], [50, 101, 24], [23, 33, 59]] ------------------------------ Epoch 1587 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016372 - Iter 024 / 025, Loss: 0.121464 * Train accuracy / confusion: 98.00% / [[357, 6, 1], [6, 253, 1], [1, 1, 174]], * Val accuracy / confusion: 57.12% / [[148, 64, 18], [45, 102, 28], [29, 39, 47]] ------------------------------ Epoch 1588 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.032174 - Iter 024 / 025, Loss: 0.039021 * Train accuracy / confusion: 98.25% / [[347, 2, 4], [4, 264, 1], [2, 1, 175]], * Val accuracy / confusion: 59.04% / [[151, 55, 24], [49, 102, 24], [28, 33, 54]] ------------------------------ Epoch 1589 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.053354 - Iter 024 / 025, Loss: 0.168497 * Train accuracy / confusion: 97.38% / [[348, 4, 1], [8, 254, 4], [1, 3, 177]], * Val accuracy / confusion: 59.23% / [[158, 44, 28], [53, 96, 26], [26, 35, 54]] ------------------------------ Epoch 1590 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.092081 - Iter 024 / 025, Loss: 0.102735 * Train accuracy / confusion: 96.75% / [[349, 7, 2], [12, 255, 4], [0, 1, 170]], * Val accuracy / confusion: 59.23% / [[158, 43, 29], [43, 94, 38], [33, 26, 56]] ------------------------------ Epoch 1591 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.108791 - Iter 024 / 025, Loss: 0.027326 * Train accuracy / confusion: 98.12% / [[347, 5, 2], [5, 263, 1], [1, 1, 175]], * Val accuracy / confusion: 59.04% / [[160, 45, 25], [49, 92, 34], [28, 32, 55]] ------------------------------ Epoch 1592 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.046911 - Iter 024 / 025, Loss: 0.160427 * Train accuracy / confusion: 97.12% / [[345, 10, 1], [10, 257, 2], [0, 0, 175]], * Val accuracy / confusion: 56.15% / [[150, 48, 32], [47, 96, 32], [30, 39, 46]] ------------------------------ Epoch 1593 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.076564 - Iter 024 / 025, Loss: 0.071640 * Train accuracy / confusion: 97.50% / [[351, 4, 1], [8, 260, 1], [2, 4, 169]], * Val accuracy / confusion: 58.65% / [[155, 47, 28], [41, 94, 40], [19, 40, 56]] ------------------------------ Epoch 1594 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.060245 - Iter 024 / 025, Loss: 0.180789 * Train accuracy / confusion: 97.88% / [[350, 2, 3], [4, 263, 4], [1, 3, 170]], * Val accuracy / confusion: 58.08% / [[154, 46, 30], [43, 98, 34], [25, 40, 50]] ------------------------------ Epoch 1595 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.035270 - Iter 024 / 025, Loss: 0.103864 * Train accuracy / confusion: 98.50% / [[355, 3, 1], [5, 256, 0], [0, 3, 177]], * Val accuracy / confusion: 57.69% / [[153, 55, 22], [51, 96, 28], [30, 34, 51]] ------------------------------ Epoch 1596 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.025931 - Iter 024 / 025, Loss: 0.009143 * Train accuracy / confusion: 98.25% / [[356, 3, 0], [7, 255, 2], [0, 2, 175]], * Val accuracy / confusion: 58.85% / [[154, 54, 22], [44, 95, 36], [28, 30, 57]] ------------------------------ Epoch 1597 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.025323 - Iter 024 / 025, Loss: 0.158686 * Train accuracy / confusion: 98.38% / [[350, 4, 2], [3, 268, 3], [0, 1, 169]], * Val accuracy / confusion: 60.77% / [[161, 47, 22], [40, 101, 34], [23, 38, 54]] ------------------------------ Epoch 1598 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.080945 - Iter 024 / 025, Loss: 0.110976 * Train accuracy / confusion: 97.62% / [[350, 2, 3], [6, 256, 5], [1, 2, 175]], * Val accuracy / confusion: 57.50% / [[156, 50, 24], [57, 88, 30], [25, 35, 55]] ------------------------------ Epoch 1599 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.090774 - Iter 024 / 025, Loss: 0.060213 * Train accuracy / confusion: 97.38% / [[349, 4, 1], [9, 259, 1], [2, 4, 171]], * Val accuracy / confusion: 58.08% / [[155, 50, 25], [52, 93, 30], [20, 41, 54]] ------------------------------ Epoch 1600 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013329 - Iter 024 / 025, Loss: 0.049148 * Train accuracy / confusion: 97.25% / [[352, 6, 1], [7, 254, 3], [1, 4, 172]], * Val accuracy / confusion: 58.46% / [[152, 51, 27], [50, 93, 32], [27, 29, 59]] ------------------------------ Epoch 1601 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.079006 - Iter 024 / 025, Loss: 0.017719 * Train accuracy / confusion: 97.50% / [[346, 3, 3], [6, 263, 2], [3, 3, 171]], * Val accuracy / confusion: 59.81% / [[161, 49, 20], [49, 97, 29], [28, 34, 53]] ------------------------------ Epoch 1602 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.072541 - Iter 024 / 025, Loss: 0.012792 * Train accuracy / confusion: 98.12% / [[350, 6, 1], [5, 263, 3], [0, 0, 172]], * Val accuracy / confusion: 57.50% / [[158, 46, 26], [51, 90, 34], [32, 32, 51]] ------------------------------ Epoch 1603 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016567 - Iter 024 / 025, Loss: 0.125074 * Train accuracy / confusion: 97.75% / [[348, 7, 1], [1, 263, 4], [1, 4, 171]], * Val accuracy / confusion: 56.35% / [[144, 55, 31], [47, 101, 27], [22, 45, 48]] ------------------------------ Epoch 1604 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.022994 - Iter 024 / 025, Loss: 0.022262 * Train accuracy / confusion: 98.50% / [[351, 3, 2], [7, 261, 0], [0, 0, 176]], * Val accuracy / confusion: 57.88% / [[150, 52, 28], [50, 106, 19], [29, 41, 45]] ------------------------------ Epoch 1605 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.056144 - Iter 024 / 025, Loss: 0.013350 * Train accuracy / confusion: 98.00% / [[344, 9, 3], [4, 263, 0], [0, 0, 177]], * Val accuracy / confusion: 58.27% / [[160, 46, 24], [53, 92, 30], [30, 34, 51]] ------------------------------ Epoch 1606 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.098684 - Iter 024 / 025, Loss: 0.064410 * Train accuracy / confusion: 98.50% / [[348, 6, 0], [4, 263, 0], [2, 0, 177]], * Val accuracy / confusion: 59.81% / [[161, 48, 21], [49, 99, 27], [29, 35, 51]] ------------------------------ Epoch 1607 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.153881 - Iter 024 / 025, Loss: 0.025623 * Train accuracy / confusion: 98.38% / [[353, 3, 2], [4, 261, 2], [1, 1, 173]], * Val accuracy / confusion: 57.31% / [[158, 54, 18], [54, 93, 28], [32, 36, 47]] ------------------------------ Epoch 1608 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.140325 - Iter 024 / 025, Loss: 0.100626 * Train accuracy / confusion: 98.25% / [[350, 5, 3], [3, 261, 1], [1, 1, 175]], * Val accuracy / confusion: 57.50% / [[148, 55, 27], [48, 104, 23], [30, 38, 47]] ------------------------------ Epoch 1609 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.017594 - Iter 024 / 025, Loss: 0.172392 * Train accuracy / confusion: 98.00% / [[353, 5, 1], [4, 260, 3], [2, 1, 171]], * Val accuracy / confusion: 59.23% / [[151, 50, 29], [47, 100, 28], [30, 28, 57]] ------------------------------ Epoch 1610 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020649 - Iter 024 / 025, Loss: 0.095034 * Train accuracy / confusion: 97.62% / [[345, 5, 4], [5, 258, 2], [1, 2, 178]], * Val accuracy / confusion: 59.04% / [[156, 45, 29], [46, 97, 32], [27, 34, 54]] ------------------------------ Epoch 1611 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.288579 - Iter 024 / 025, Loss: 0.071509 * Train accuracy / confusion: 97.50% / [[349, 8, 1], [8, 260, 0], [0, 3, 171]], * Val accuracy / confusion: 57.31% / [[139, 62, 29], [44, 105, 26], [28, 33, 54]] ------------------------------ Epoch 1612 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.034713 - Iter 024 / 025, Loss: 0.022284 * Train accuracy / confusion: 97.75% / [[349, 3, 4], [7, 259, 2], [1, 1, 174]], * Val accuracy / confusion: 59.81% / [[155, 49, 26], [48, 103, 24], [23, 39, 53]] ------------------------------ Epoch 1613 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.116964 - Iter 024 / 025, Loss: 0.014694 * Train accuracy / confusion: 98.12% / [[355, 5, 2], [5, 256, 2], [0, 1, 174]], * Val accuracy / confusion: 57.12% / [[145, 54, 31], [48, 96, 31], [28, 31, 56]] ------------------------------ Epoch 1614 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.034616 - Iter 024 / 025, Loss: 0.070212 * Train accuracy / confusion: 97.00% / [[345, 8, 5], [8, 258, 1], [2, 0, 173]], * Val accuracy / confusion: 58.65% / [[149, 47, 34], [49, 100, 26], [23, 36, 56]] ------------------------------ Epoch 1615 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.067572 - Iter 024 / 025, Loss: 0.080804 * Train accuracy / confusion: 97.00% / [[349, 6, 4], [6, 255, 1], [5, 2, 172]], * Val accuracy / confusion: 60.00% / [[159, 42, 29], [48, 101, 26], [28, 35, 52]] ------------------------------ Epoch 1616 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012736 - Iter 024 / 025, Loss: 0.032752 * Train accuracy / confusion: 99.12% / [[354, 1, 0], [5, 265, 0], [1, 0, 174]], * Val accuracy / confusion: 58.08% / [[157, 45, 28], [56, 91, 28], [25, 36, 54]] ------------------------------ Epoch 1617 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009919 - Iter 024 / 025, Loss: 0.139997 * Train accuracy / confusion: 97.62% / [[347, 3, 2], [9, 257, 0], [3, 2, 177]], * Val accuracy / confusion: 56.92% / [[151, 52, 27], [50, 99, 26], [26, 43, 46]] ------------------------------ Epoch 1618 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.116843 - Iter 024 / 025, Loss: 0.173975 * Train accuracy / confusion: 97.12% / [[343, 8, 2], [6, 263, 2], [4, 1, 171]], * Val accuracy / confusion: 60.38% / [[155, 46, 29], [51, 101, 23], [22, 35, 58]] ------------------------------ Epoch 1619 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.110345 - Iter 024 / 025, Loss: 0.086516 * Train accuracy / confusion: 97.50% / [[345, 5, 2], [8, 260, 1], [1, 3, 175]], * Val accuracy / confusion: 58.08% / [[156, 49, 25], [47, 96, 32], [28, 37, 50]] ------------------------------ Epoch 1620 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.038536 - Iter 024 / 025, Loss: 0.017121 * Train accuracy / confusion: 98.25% / [[350, 2, 3], [6, 260, 0], [2, 1, 176]], * Val accuracy / confusion: 59.42% / [[149, 53, 28], [44, 105, 26], [31, 29, 55]] ------------------------------ Epoch 1621 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.027494 - Iter 024 / 025, Loss: 0.048479 * Train accuracy / confusion: 98.62% / [[349, 7, 0], [3, 264, 0], [0, 1, 176]], * Val accuracy / confusion: 55.77% / [[139, 62, 29], [55, 96, 24], [30, 30, 55]] ------------------------------ Epoch 1622 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.017662 - Iter 024 / 025, Loss: 0.006692 * Train accuracy / confusion: 98.00% / [[354, 4, 2], [6, 256, 2], [0, 2, 174]], * Val accuracy / confusion: 57.50% / [[153, 53, 24], [56, 91, 28], [24, 36, 55]] ------------------------------ Epoch 1623 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.071735 - Iter 024 / 025, Loss: 0.066561 * Train accuracy / confusion: 98.00% / [[352, 3, 2], [5, 259, 3], [1, 2, 173]], * Val accuracy / confusion: 60.38% / [[160, 39, 31], [47, 99, 29], [23, 37, 55]] ------------------------------ Epoch 1624 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.168063 - Iter 024 / 025, Loss: 0.016093 * Train accuracy / confusion: 98.12% / [[352, 3, 1], [7, 259, 1], [3, 0, 174]], * Val accuracy / confusion: 56.15% / [[144, 49, 37], [52, 91, 32], [27, 31, 57]] ------------------------------ Epoch 1625 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010904 - Iter 024 / 025, Loss: 0.058847 * Train accuracy / confusion: 97.50% / [[348, 7, 0], [9, 258, 0], [1, 3, 174]], * Val accuracy / confusion: 56.35% / [[145, 59, 26], [53, 91, 31], [21, 37, 57]] ------------------------------ Epoch 1626 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.081955 - Iter 024 / 025, Loss: 0.036667 * Train accuracy / confusion: 98.12% / [[341, 8, 2], [2, 269, 1], [2, 0, 175]], * Val accuracy / confusion: 59.04% / [[154, 46, 30], [43, 100, 32], [27, 35, 53]] ------------------------------ Epoch 1627 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.136390 - Iter 024 / 025, Loss: 0.048543 * Train accuracy / confusion: 97.12% / [[346, 7, 1], [9, 259, 3], [1, 2, 172]], * Val accuracy / confusion: 57.69% / [[158, 47, 25], [54, 91, 30], [28, 36, 51]] ------------------------------ Epoch 1628 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009426 - Iter 024 / 025, Loss: 0.007008 * Train accuracy / confusion: 97.75% / [[348, 5, 1], [7, 258, 2], [1, 2, 176]], * Val accuracy / confusion: 59.42% / [[160, 41, 29], [47, 95, 33], [34, 27, 54]] ------------------------------ Epoch 1629 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.070407 - Iter 024 / 025, Loss: 0.061119 * Train accuracy / confusion: 98.12% / [[351, 8, 1], [3, 257, 2], [1, 0, 177]], * Val accuracy / confusion: 59.42% / [[155, 50, 25], [43, 99, 33], [23, 37, 55]] ------------------------------ Epoch 1630 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.040189 - Iter 024 / 025, Loss: 0.005081 * Train accuracy / confusion: 98.25% / [[354, 4, 0], [6, 259, 2], [0, 2, 173]], * Val accuracy / confusion: 61.35% / [[161, 43, 26], [44, 103, 28], [30, 30, 55]] ------------------------------ Epoch 1631 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016737 - Iter 024 / 025, Loss: 0.047824 * Train accuracy / confusion: 98.00% / [[346, 5, 1], [5, 262, 5], [0, 0, 176]], * Val accuracy / confusion: 56.92% / [[154, 47, 29], [52, 87, 36], [23, 37, 55]] ------------------------------ Epoch 1632 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009765 - Iter 024 / 025, Loss: 0.047761 * Train accuracy / confusion: 97.75% / [[347, 4, 0], [8, 261, 1], [0, 5, 174]], * Val accuracy / confusion: 55.96% / [[147, 56, 27], [47, 96, 32], [29, 38, 48]] ------------------------------ Epoch 1633 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.042976 - Iter 024 / 025, Loss: 0.029443 * Train accuracy / confusion: 97.12% / [[352, 4, 3], [9, 253, 3], [1, 3, 172]], * Val accuracy / confusion: 59.62% / [[157, 47, 26], [44, 103, 28], [29, 36, 50]] ------------------------------ Epoch 1634 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012826 - Iter 024 / 025, Loss: 0.007625 * Train accuracy / confusion: 98.50% / [[353, 6, 1], [4, 264, 0], [0, 1, 171]], * Val accuracy / confusion: 55.96% / [[147, 58, 25], [50, 90, 35], [23, 38, 54]] ------------------------------ Epoch 1635 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.081856 - Iter 024 / 025, Loss: 0.046744 * Train accuracy / confusion: 98.00% / [[351, 3, 2], [4, 262, 2], [4, 1, 171]], * Val accuracy / confusion: 59.23% / [[147, 57, 26], [45, 108, 22], [27, 35, 53]] ------------------------------ Epoch 1636 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011362 - Iter 024 / 025, Loss: 0.013431 * Train accuracy / confusion: 98.12% / [[352, 3, 2], [8, 261, 0], [0, 2, 172]], * Val accuracy / confusion: 59.62% / [[152, 56, 22], [45, 98, 32], [25, 30, 60]] ------------------------------ Epoch 1637 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.103330 - Iter 024 / 025, Loss: 0.036902 * Train accuracy / confusion: 97.88% / [[350, 4, 3], [6, 259, 1], [2, 1, 174]], * Val accuracy / confusion: 56.73% / [[154, 52, 24], [59, 90, 26], [25, 39, 51]] ------------------------------ Epoch 1638 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.063285 - Iter 024 / 025, Loss: 0.048075 * Train accuracy / confusion: 98.38% / [[349, 5, 2], [2, 268, 1], [0, 3, 170]], * Val accuracy / confusion: 60.77% / [[160, 49, 21], [37, 98, 40], [29, 28, 58]] ------------------------------ Epoch 1639 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.051138 - Iter 024 / 025, Loss: 0.052032 * Train accuracy / confusion: 98.25% / [[352, 6, 1], [4, 260, 2], [1, 0, 174]], * Val accuracy / confusion: 55.00% / [[142, 61, 27], [57, 84, 34], [20, 35, 60]] ------------------------------ Epoch 1640 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.033593 - Iter 024 / 025, Loss: 0.031447 * Train accuracy / confusion: 98.38% / [[349, 7, 0], [3, 264, 2], [1, 0, 174]], * Val accuracy / confusion: 56.92% / [[145, 59, 26], [42, 99, 34], [28, 35, 52]] ------------------------------ Epoch 1641 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.070962 - Iter 024 / 025, Loss: 0.209523 * Train accuracy / confusion: 97.75% / [[350, 3, 2], [7, 256, 2], [1, 3, 176]], * Val accuracy / confusion: 61.15% / [[162, 42, 26], [43, 104, 28], [33, 30, 52]] ------------------------------ Epoch 1642 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.028918 - Iter 024 / 025, Loss: 0.035397 * Train accuracy / confusion: 98.50% / [[353, 2, 0], [5, 261, 0], [0, 5, 174]], * Val accuracy / confusion: 56.15% / [[149, 54, 27], [54, 86, 35], [25, 33, 57]] ------------------------------ Epoch 1643 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.029851 - Iter 024 / 025, Loss: 0.031923 * Train accuracy / confusion: 99.12% / [[351, 1, 0], [3, 266, 1], [1, 1, 176]], * Val accuracy / confusion: 56.15% / [[142, 58, 30], [46, 98, 31], [25, 38, 52]] ------------------------------ Epoch 1644 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.061908 - Iter 024 / 025, Loss: 0.120461 * Train accuracy / confusion: 97.75% / [[347, 5, 3], [6, 261, 2], [1, 1, 174]], * Val accuracy / confusion: 56.15% / [[149, 50, 31], [55, 88, 32], [25, 35, 55]] ------------------------------ Epoch 1645 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016435 - Iter 024 / 025, Loss: 0.054851 * Train accuracy / confusion: 98.25% / [[354, 5, 1], [6, 261, 0], [1, 1, 171]], * Val accuracy / confusion: 59.62% / [[160, 47, 23], [49, 91, 35], [24, 32, 59]] ------------------------------ Epoch 1646 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011033 - Iter 024 / 025, Loss: 0.044199 * Train accuracy / confusion: 98.25% / [[355, 2, 1], [5, 262, 2], [2, 2, 169]], * Val accuracy / confusion: 57.50% / [[150, 54, 26], [52, 92, 31], [27, 31, 57]] ------------------------------ Epoch 1647 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.029387 - Iter 024 / 025, Loss: 0.035794 * Train accuracy / confusion: 98.25% / [[349, 4, 2], [4, 262, 2], [1, 1, 175]], * Val accuracy / confusion: 59.81% / [[155, 49, 26], [42, 103, 30], [26, 36, 53]] ------------------------------ Epoch 1648 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015683 - Iter 024 / 025, Loss: 0.004608 * Train accuracy / confusion: 97.75% / [[350, 3, 4], [3, 260, 4], [0, 4, 172]], * Val accuracy / confusion: 55.00% / [[147, 48, 35], [57, 89, 29], [28, 37, 50]] ------------------------------ Epoch 1649 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.035850 - Iter 024 / 025, Loss: 0.061939 * Train accuracy / confusion: 97.50% / [[351, 8, 0], [6, 259, 1], [3, 2, 170]], * Val accuracy / confusion: 60.58% / [[155, 51, 24], [47, 98, 30], [24, 29, 62]] ------------------------------ Epoch 1650 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.080038 - Iter 024 / 025, Loss: 0.012975 * Train accuracy / confusion: 97.12% / [[350, 6, 0], [8, 256, 4], [2, 3, 171]], * Val accuracy / confusion: 58.46% / [[149, 61, 20], [46, 99, 30], [24, 35, 56]] ------------------------------ Epoch 1651 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018191 - Iter 024 / 025, Loss: 0.099828 * Train accuracy / confusion: 97.75% / [[352, 3, 1], [7, 261, 2], [2, 3, 169]], * Val accuracy / confusion: 57.69% / [[157, 47, 26], [53, 96, 26], [26, 42, 47]] ------------------------------ Epoch 1652 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.040650 - Iter 024 / 025, Loss: 0.075338 * Train accuracy / confusion: 98.12% / [[349, 3, 2], [2, 267, 2], [4, 2, 169]], * Val accuracy / confusion: 60.96% / [[156, 51, 23], [44, 100, 31], [23, 31, 61]] ------------------------------ Epoch 1653 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.025046 - Iter 024 / 025, Loss: 0.068722 * Train accuracy / confusion: 97.75% / [[351, 6, 0], [6, 258, 5], [1, 0, 173]], * Val accuracy / confusion: 57.69% / [[155, 51, 24], [48, 90, 37], [31, 29, 55]] ------------------------------ Epoch 1654 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009396 - Iter 024 / 025, Loss: 0.139162 * Train accuracy / confusion: 96.75% / [[355, 5, 0], [9, 249, 8], [2, 2, 170]], * Val accuracy / confusion: 59.04% / [[157, 48, 25], [51, 97, 27], [24, 38, 53]] ------------------------------ Epoch 1655 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.162790 - Iter 024 / 025, Loss: 0.055755 * Train accuracy / confusion: 97.38% / [[344, 12, 2], [3, 262, 2], [1, 1, 173]], * Val accuracy / confusion: 60.96% / [[155, 46, 29], [44, 101, 30], [26, 28, 61]] ------------------------------ Epoch 1656 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.072430 - Iter 024 / 025, Loss: 0.114904 * Train accuracy / confusion: 96.88% / [[346, 7, 3], [8, 260, 3], [0, 4, 169]], * Val accuracy / confusion: 55.58% / [[153, 42, 35], [48, 92, 35], [32, 39, 44]] ------------------------------ Epoch 1657 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.031533 - Iter 024 / 025, Loss: 0.019800 * Train accuracy / confusion: 98.12% / [[352, 2, 0], [5, 262, 3], [4, 1, 171]], * Val accuracy / confusion: 56.73% / [[159, 44, 27], [56, 83, 36], [28, 34, 53]] ------------------------------ Epoch 1658 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010055 - Iter 024 / 025, Loss: 0.094169 * Train accuracy / confusion: 97.62% / [[348, 2, 4], [8, 261, 0], [2, 3, 172]], * Val accuracy / confusion: 57.31% / [[153, 42, 35], [45, 92, 38], [27, 35, 53]] ------------------------------ Epoch 1659 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.102683 - Iter 024 / 025, Loss: 0.027592 * Train accuracy / confusion: 96.50% / [[350, 5, 2], [10, 248, 7], [1, 3, 174]], * Val accuracy / confusion: 56.73% / [[150, 58, 22], [51, 94, 30], [29, 35, 51]] ------------------------------ Epoch 1660 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.183112 - Iter 024 / 025, Loss: 0.043035 * Train accuracy / confusion: 97.62% / [[352, 6, 1], [8, 256, 0], [4, 0, 173]], * Val accuracy / confusion: 58.46% / [[146, 53, 31], [42, 104, 29], [26, 35, 54]] ------------------------------ Epoch 1661 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.022471 - Iter 024 / 025, Loss: 0.045403 * Train accuracy / confusion: 98.62% / [[352, 4, 0], [5, 261, 0], [0, 2, 176]], * Val accuracy / confusion: 59.42% / [[155, 51, 24], [42, 96, 37], [25, 32, 58]] ------------------------------ Epoch 1662 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.017623 - Iter 024 / 025, Loss: 0.027066 * Train accuracy / confusion: 98.38% / [[351, 2, 1], [3, 263, 2], [4, 1, 173]], * Val accuracy / confusion: 56.73% / [[156, 48, 26], [58, 87, 30], [34, 29, 52]] ------------------------------ Epoch 1663 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.068855 - Iter 024 / 025, Loss: 0.024920 * Train accuracy / confusion: 96.62% / [[347, 4, 5], [10, 251, 4], [0, 4, 175]], * Val accuracy / confusion: 59.04% / [[152, 48, 30], [50, 96, 29], [25, 31, 59]] ------------------------------ Epoch 1664 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.043836 - Iter 024 / 025, Loss: 0.060861 * Train accuracy / confusion: 98.25% / [[352, 1, 0], [8, 261, 3], [0, 2, 173]], * Val accuracy / confusion: 55.96% / [[150, 55, 25], [57, 90, 28], [26, 38, 51]] ------------------------------ Epoch 1665 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.045283 - Iter 024 / 025, Loss: 0.016135 * Train accuracy / confusion: 97.38% / [[347, 8, 0], [7, 256, 3], [3, 0, 176]], * Val accuracy / confusion: 57.12% / [[151, 52, 27], [45, 94, 36], [26, 37, 52]] ------------------------------ Epoch 1666 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.017792 - Iter 024 / 025, Loss: 0.008919 * Train accuracy / confusion: 97.88% / [[351, 3, 2], [7, 259, 1], [3, 1, 173]], * Val accuracy / confusion: 58.27% / [[150, 52, 28], [43, 102, 30], [26, 38, 51]] ------------------------------ Epoch 1667 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.053561 - Iter 024 / 025, Loss: 0.003483 * Train accuracy / confusion: 98.38% / [[356, 3, 1], [4, 261, 2], [2, 1, 170]], * Val accuracy / confusion: 57.69% / [[151, 57, 22], [46, 102, 27], [24, 44, 47]] ------------------------------ Epoch 1668 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.054188 - Iter 024 / 025, Loss: 0.071589 * Train accuracy / confusion: 97.25% / [[350, 7, 2], [4, 261, 3], [0, 6, 167]], * Val accuracy / confusion: 59.23% / [[159, 45, 26], [51, 99, 25], [31, 34, 50]] ------------------------------ Epoch 1669 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.174186 - Iter 024 / 025, Loss: 0.055295 * Train accuracy / confusion: 97.62% / [[354, 7, 0], [4, 258, 2], [4, 2, 169]], * Val accuracy / confusion: 59.23% / [[155, 52, 23], [51, 100, 24], [31, 31, 53]] ------------------------------ Epoch 1670 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.053619 - Iter 024 / 025, Loss: 0.282116 * Train accuracy / confusion: 97.62% / [[350, 5, 3], [7, 259, 2], [2, 0, 172]], * Val accuracy / confusion: 57.12% / [[148, 53, 29], [49, 93, 33], [27, 32, 56]] ------------------------------ Epoch 1671 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.021378 - Iter 024 / 025, Loss: 0.124523 * Train accuracy / confusion: 98.25% / [[348, 5, 3], [4, 261, 1], [0, 1, 177]], * Val accuracy / confusion: 57.50% / [[156, 52, 22], [51, 97, 27], [29, 40, 46]] ------------------------------ Epoch 1672 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.066683 - Iter 024 / 025, Loss: 0.076771 * Train accuracy / confusion: 97.75% / [[352, 6, 4], [4, 259, 2], [2, 0, 171]], * Val accuracy / confusion: 60.00% / [[158, 53, 19], [46, 106, 23], [30, 37, 48]] ------------------------------ Epoch 1673 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.239500 - Iter 024 / 025, Loss: 0.055434 * Train accuracy / confusion: 97.38% / [[348, 6, 3], [5, 257, 3], [1, 3, 174]], * Val accuracy / confusion: 58.46% / [[145, 55, 30], [42, 105, 28], [23, 38, 54]] ------------------------------ Epoch 1674 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.027358 - Iter 024 / 025, Loss: 0.013504 * Train accuracy / confusion: 97.50% / [[346, 5, 3], [7, 259, 0], [3, 2, 175]], * Val accuracy / confusion: 59.04% / [[146, 49, 35], [46, 100, 29], [16, 38, 61]] ------------------------------ Epoch 1675 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.161989 - Iter 024 / 025, Loss: 0.208280 * Train accuracy / confusion: 97.00% / [[343, 9, 4], [7, 261, 1], [1, 2, 172]], * Val accuracy / confusion: 60.96% / [[150, 50, 30], [36, 115, 24], [21, 42, 52]] ------------------------------ Epoch 1676 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.031335 - Iter 024 / 025, Loss: 0.118054 * Train accuracy / confusion: 98.00% / [[355, 6, 1], [5, 257, 1], [2, 1, 172]], * Val accuracy / confusion: 61.15% / [[156, 46, 28], [50, 104, 21], [31, 26, 58]] ------------------------------ Epoch 1677 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.032473 - Iter 024 / 025, Loss: 0.052359 * Train accuracy / confusion: 97.12% / [[351, 5, 1], [6, 252, 6], [4, 1, 174]], * Val accuracy / confusion: 59.62% / [[163, 43, 24], [54, 94, 27], [31, 31, 53]] ------------------------------ Epoch 1678 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.028910 - Iter 024 / 025, Loss: 0.112956 * Train accuracy / confusion: 97.50% / [[348, 6, 2], [8, 260, 2], [0, 2, 172]], * Val accuracy / confusion: 56.73% / [[141, 62, 27], [49, 98, 28], [25, 34, 56]] ------------------------------ Epoch 1679 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015350 - Iter 024 / 025, Loss: 0.007496 * Train accuracy / confusion: 97.75% / [[348, 4, 1], [12, 260, 0], [0, 1, 174]], * Val accuracy / confusion: 59.23% / [[162, 47, 21], [55, 90, 30], [34, 25, 56]] ------------------------------ Epoch 1680 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020004 - Iter 024 / 025, Loss: 0.009164 * Train accuracy / confusion: 97.50% / [[348, 6, 2], [7, 262, 0], [3, 2, 170]], * Val accuracy / confusion: 57.12% / [[159, 44, 27], [54, 88, 33], [23, 42, 50]] ------------------------------ Epoch 1681 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.099797 - Iter 024 / 025, Loss: 0.090266 * Train accuracy / confusion: 97.62% / [[347, 3, 2], [6, 265, 2], [3, 3, 169]], * Val accuracy / confusion: 58.85% / [[154, 51, 25], [43, 94, 38], [27, 30, 58]] ------------------------------ Epoch 1682 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.137586 - Iter 024 / 025, Loss: 0.004740 * Train accuracy / confusion: 97.25% / [[353, 2, 1], [8, 252, 3], [5, 3, 173]], * Val accuracy / confusion: 55.96% / [[153, 53, 24], [54, 88, 33], [29, 36, 50]] ------------------------------ Epoch 1683 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.028748 - Iter 024 / 025, Loss: 0.015543 * Train accuracy / confusion: 98.25% / [[350, 3, 0], [6, 264, 0], [2, 3, 172]], * Val accuracy / confusion: 57.31% / [[154, 53, 23], [51, 90, 34], [24, 37, 54]] ------------------------------ Epoch 1684 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.153892 - Iter 024 / 025, Loss: 0.022713 * Train accuracy / confusion: 97.75% / [[352, 3, 4], [6, 263, 2], [1, 2, 167]], * Val accuracy / confusion: 58.08% / [[155, 56, 19], [51, 93, 31], [30, 31, 54]] ------------------------------ Epoch 1685 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.041136 - Iter 024 / 025, Loss: 0.032242 * Train accuracy / confusion: 97.38% / [[347, 7, 4], [5, 263, 2], [1, 2, 169]], * Val accuracy / confusion: 60.38% / [[163, 38, 29], [48, 96, 31], [34, 26, 55]] ------------------------------ Epoch 1686 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.049475 - Iter 024 / 025, Loss: 0.015063 * Train accuracy / confusion: 97.12% / [[344, 8, 1], [9, 254, 4], [0, 1, 179]], * Val accuracy / confusion: 58.85% / [[157, 51, 22], [51, 100, 24], [30, 36, 49]] ------------------------------ Epoch 1687 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011522 - Iter 024 / 025, Loss: 0.094315 * Train accuracy / confusion: 96.88% / [[345, 7, 3], [7, 260, 4], [3, 1, 170]], * Val accuracy / confusion: 57.69% / [[163, 42, 25], [51, 91, 33], [28, 41, 46]] ------------------------------ Epoch 1688 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.022817 - Iter 024 / 025, Loss: 0.011046 * Train accuracy / confusion: 97.88% / [[356, 4, 3], [5, 257, 2], [2, 1, 170]], * Val accuracy / confusion: 56.73% / [[158, 49, 23], [56, 83, 36], [29, 32, 54]] ------------------------------ Epoch 1689 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.023014 - Iter 024 / 025, Loss: 0.066688 * Train accuracy / confusion: 98.12% / [[354, 4, 1], [2, 256, 4], [1, 3, 175]], * Val accuracy / confusion: 59.04% / [[151, 53, 26], [43, 106, 26], [31, 34, 50]] ------------------------------ Epoch 1690 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012533 - Iter 024 / 025, Loss: 0.044748 * Train accuracy / confusion: 98.25% / [[350, 4, 1], [5, 262, 3], [0, 1, 174]], * Val accuracy / confusion: 59.81% / [[155, 45, 30], [41, 106, 28], [23, 42, 50]] ------------------------------ Epoch 1691 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.042559 - Iter 024 / 025, Loss: 0.066693 * Train accuracy / confusion: 97.88% / [[355, 2, 0], [4, 262, 5], [4, 2, 166]], * Val accuracy / confusion: 59.42% / [[148, 49, 33], [44, 100, 31], [25, 29, 61]] ------------------------------ Epoch 1692 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.043397 - Iter 024 / 025, Loss: 0.014154 * Train accuracy / confusion: 98.12% / [[350, 3, 2], [4, 263, 3], [0, 3, 172]], * Val accuracy / confusion: 59.42% / [[154, 49, 27], [37, 100, 38], [26, 34, 55]] ------------------------------ Epoch 1693 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.151059 - Iter 024 / 025, Loss: 0.238205 * Train accuracy / confusion: 97.00% / [[346, 9, 0], [8, 257, 1], [4, 2, 173]], * Val accuracy / confusion: 58.85% / [[162, 48, 20], [49, 93, 33], [27, 37, 51]] ------------------------------ Epoch 1694 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020180 - Iter 024 / 025, Loss: 0.041651 * Train accuracy / confusion: 98.25% / [[348, 6, 0], [3, 264, 2], [3, 0, 174]], * Val accuracy / confusion: 59.62% / [[154, 45, 31], [44, 100, 31], [27, 32, 56]] ------------------------------ Epoch 1695 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.058799 - Iter 024 / 025, Loss: 0.029688 * Train accuracy / confusion: 98.00% / [[354, 7, 1], [5, 260, 0], [2, 1, 170]], * Val accuracy / confusion: 55.77% / [[148, 59, 23], [55, 92, 28], [33, 32, 50]] ------------------------------ Epoch 1696 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024528 - Iter 024 / 025, Loss: 0.045213 * Train accuracy / confusion: 98.25% / [[345, 4, 2], [4, 268, 0], [1, 3, 173]], * Val accuracy / confusion: 56.73% / [[155, 53, 22], [60, 84, 31], [24, 35, 56]] ------------------------------ Epoch 1697 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010790 - Iter 024 / 025, Loss: 0.153556 * Train accuracy / confusion: 97.50% / [[347, 6, 3], [6, 257, 3], [1, 1, 176]], * Val accuracy / confusion: 57.88% / [[147, 60, 23], [54, 100, 21], [30, 31, 54]] ------------------------------ Epoch 1698 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009070 - Iter 024 / 025, Loss: 0.039780 * Train accuracy / confusion: 97.50% / [[355, 3, 0], [9, 257, 3], [3, 2, 168]], * Val accuracy / confusion: 58.65% / [[159, 51, 20], [55, 90, 30], [27, 32, 56]] ------------------------------ Epoch 1699 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.038171 - Iter 024 / 025, Loss: 0.060053 * Train accuracy / confusion: 98.00% / [[350, 3, 0], [6, 259, 2], [2, 3, 175]], * Val accuracy / confusion: 61.15% / [[162, 44, 24], [48, 102, 25], [29, 32, 54]] ------------------------------ Epoch 1700 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.094595 - Iter 024 / 025, Loss: 0.071169 * Train accuracy / confusion: 98.00% / [[345, 5, 2], [2, 266, 3], [2, 2, 173]], * Val accuracy / confusion: 58.08% / [[152, 50, 28], [53, 95, 27], [30, 30, 55]] ------------------------------ Epoch 1701 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.116847 - Iter 024 / 025, Loss: 0.063283 * Train accuracy / confusion: 98.38% / [[350, 3, 0], [6, 262, 1], [2, 1, 175]], * Val accuracy / confusion: 56.92% / [[149, 58, 23], [49, 95, 31], [33, 30, 52]] ------------------------------ Epoch 1702 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.039599 - Iter 024 / 025, Loss: 0.018449 * Train accuracy / confusion: 97.00% / [[350, 11, 1], [6, 252, 3], [1, 2, 174]], * Val accuracy / confusion: 58.46% / [[155, 49, 26], [49, 98, 28], [30, 34, 51]] ------------------------------ Epoch 1703 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.036304 - Iter 024 / 025, Loss: 0.098547 * Train accuracy / confusion: 96.88% / [[348, 8, 1], [9, 257, 1], [4, 2, 170]], * Val accuracy / confusion: 59.23% / [[158, 46, 26], [54, 95, 26], [28, 32, 55]] ------------------------------ Epoch 1704 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.079984 - Iter 024 / 025, Loss: 0.032591 * Train accuracy / confusion: 97.88% / [[354, 1, 0], [8, 256, 2], [4, 2, 173]], * Val accuracy / confusion: 58.65% / [[150, 49, 31], [47, 103, 25], [27, 36, 52]] ------------------------------ Epoch 1705 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.051227 - Iter 024 / 025, Loss: 0.130099 * Train accuracy / confusion: 98.00% / [[353, 5, 2], [4, 260, 3], [0, 2, 171]], * Val accuracy / confusion: 56.15% / [[153, 47, 30], [54, 86, 35], [30, 32, 53]] ------------------------------ Epoch 1706 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.149752 - Iter 024 / 025, Loss: 0.039906 * Train accuracy / confusion: 98.25% / [[357, 4, 0], [6, 257, 1], [1, 2, 172]], * Val accuracy / confusion: 58.85% / [[158, 47, 25], [46, 92, 37], [25, 34, 56]] ------------------------------ Epoch 1707 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.030729 - Iter 024 / 025, Loss: 0.100875 * Train accuracy / confusion: 97.38% / [[347, 9, 1], [5, 257, 4], [0, 2, 175]], * Val accuracy / confusion: 58.85% / [[150, 53, 27], [43, 101, 31], [26, 34, 55]] ------------------------------ Epoch 1708 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.135193 - Iter 024 / 025, Loss: 0.059436 * Train accuracy / confusion: 96.75% / [[349, 6, 1], [11, 257, 3], [4, 1, 168]], * Val accuracy / confusion: 59.81% / [[154, 51, 25], [48, 96, 31], [25, 29, 61]] ------------------------------ Epoch 1709 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.030649 - Iter 024 / 025, Loss: 0.058540 * Train accuracy / confusion: 98.12% / [[349, 4, 2], [6, 262, 1], [0, 2, 174]], * Val accuracy / confusion: 60.58% / [[163, 47, 20], [53, 95, 27], [31, 27, 57]] ------------------------------ Epoch 1710 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.147404 - Iter 024 / 025, Loss: 0.034373 * Train accuracy / confusion: 98.00% / [[356, 2, 0], [5, 260, 0], [3, 6, 168]], * Val accuracy / confusion: 59.23% / [[159, 45, 26], [56, 93, 26], [26, 33, 56]] ------------------------------ Epoch 1711 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.008432 - Iter 024 / 025, Loss: 0.070711 * Train accuracy / confusion: 99.00% / [[350, 4, 1], [2, 263, 1], [0, 0, 179]], * Val accuracy / confusion: 58.46% / [[158, 48, 24], [57, 89, 29], [28, 30, 57]] ------------------------------ Epoch 1712 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.030708 - Iter 024 / 025, Loss: 0.010188 * Train accuracy / confusion: 98.75% / [[352, 2, 0], [6, 265, 1], [1, 0, 173]], * Val accuracy / confusion: 58.27% / [[153, 48, 29], [54, 96, 25], [30, 31, 54]] ------------------------------ Epoch 1713 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.035905 - Iter 024 / 025, Loss: 0.041559 * Train accuracy / confusion: 98.38% / [[352, 2, 2], [4, 265, 2], [2, 1, 170]], * Val accuracy / confusion: 58.65% / [[156, 49, 25], [48, 98, 29], [30, 34, 51]] ------------------------------ Epoch 1714 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.057683 - Iter 024 / 025, Loss: 0.038288 * Train accuracy / confusion: 97.75% / [[348, 5, 2], [5, 260, 4], [0, 2, 174]], * Val accuracy / confusion: 57.31% / [[153, 48, 29], [49, 92, 34], [30, 32, 53]] ------------------------------ Epoch 1715 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.122980 - Iter 024 / 025, Loss: 0.060049 * Train accuracy / confusion: 98.12% / [[348, 6, 2], [3, 261, 2], [1, 1, 176]], * Val accuracy / confusion: 59.04% / [[160, 50, 20], [49, 92, 34], [25, 35, 55]] ------------------------------ Epoch 1716 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.087409 - Iter 024 / 025, Loss: 0.113128 * Train accuracy / confusion: 97.12% / [[346, 6, 3], [9, 261, 2], [2, 1, 170]], * Val accuracy / confusion: 59.62% / [[157, 49, 24], [47, 98, 30], [25, 35, 55]] ------------------------------ Epoch 1717 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016501 - Iter 024 / 025, Loss: 0.007076 * Train accuracy / confusion: 97.75% / [[350, 3, 2], [10, 258, 0], [1, 2, 174]], * Val accuracy / confusion: 55.77% / [[147, 58, 25], [54, 89, 32], [26, 35, 54]] ------------------------------ Epoch 1718 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.058063 - Iter 024 / 025, Loss: 0.019503 * Train accuracy / confusion: 97.88% / [[354, 6, 0], [5, 255, 4], [2, 0, 174]], * Val accuracy / confusion: 59.62% / [[150, 46, 34], [44, 105, 26], [31, 29, 55]] ------------------------------ Epoch 1719 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.056721 - Iter 024 / 025, Loss: 0.022967 * Train accuracy / confusion: 97.88% / [[353, 3, 3], [6, 257, 3], [0, 2, 173]], * Val accuracy / confusion: 61.54% / [[165, 40, 25], [43, 103, 29], [30, 33, 52]] ------------------------------ Epoch 1720 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.035405 - Iter 024 / 025, Loss: 0.029628 * Train accuracy / confusion: 97.12% / [[348, 11, 2], [7, 252, 0], [1, 2, 177]], * Val accuracy / confusion: 58.08% / [[156, 49, 25], [55, 96, 24], [30, 35, 50]] ------------------------------ Epoch 1721 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.040500 - Iter 024 / 025, Loss: 0.174693 * Train accuracy / confusion: 98.12% / [[349, 2, 2], [7, 261, 1], [2, 1, 175]], * Val accuracy / confusion: 59.81% / [[153, 45, 32], [49, 104, 22], [32, 29, 54]] ------------------------------ Epoch 1722 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.079403 - Iter 024 / 025, Loss: 0.037223 * Train accuracy / confusion: 97.62% / [[354, 5, 0], [7, 252, 6], [0, 1, 175]], * Val accuracy / confusion: 58.65% / [[164, 44, 22], [59, 89, 27], [21, 42, 52]] ------------------------------ Epoch 1723 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.031993 - Iter 024 / 025, Loss: 0.060370 * Train accuracy / confusion: 98.12% / [[355, 3, 0], [8, 259, 1], [0, 3, 171]], * Val accuracy / confusion: 60.58% / [[161, 46, 23], [48, 97, 30], [24, 34, 57]] ------------------------------ Epoch 1724 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012360 - Iter 024 / 025, Loss: 0.024619 * Train accuracy / confusion: 98.12% / [[347, 7, 0], [4, 263, 1], [3, 0, 175]], * Val accuracy / confusion: 59.62% / [[144, 56, 30], [45, 109, 21], [20, 38, 57]] ------------------------------ Epoch 1725 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.036986 - Iter 024 / 025, Loss: 0.105895 * Train accuracy / confusion: 97.62% / [[352, 7, 1], [4, 253, 6], [0, 1, 176]], * Val accuracy / confusion: 58.85% / [[156, 43, 31], [41, 98, 36], [19, 44, 52]] ------------------------------ Epoch 1726 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.061802 - Iter 024 / 025, Loss: 0.036573 * Train accuracy / confusion: 96.88% / [[347, 6, 3], [4, 259, 4], [4, 4, 169]], * Val accuracy / confusion: 60.19% / [[153, 58, 19], [54, 97, 24], [22, 30, 63]] ------------------------------ Epoch 1727 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.117017 - Iter 024 / 025, Loss: 0.040209 * Train accuracy / confusion: 98.38% / [[353, 3, 1], [3, 262, 3], [0, 3, 172]], * Val accuracy / confusion: 58.85% / [[156, 54, 20], [46, 99, 30], [29, 35, 51]] ------------------------------ Epoch 1728 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.057266 - Iter 024 / 025, Loss: 0.034110 * Train accuracy / confusion: 97.50% / [[354, 5, 0], [11, 254, 1], [1, 2, 172]], * Val accuracy / confusion: 59.62% / [[157, 45, 28], [54, 95, 26], [25, 32, 58]] ------------------------------ Epoch 1729 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.049438 - Iter 024 / 025, Loss: 0.016437 * Train accuracy / confusion: 97.75% / [[353, 4, 1], [9, 261, 0], [2, 2, 168]], * Val accuracy / confusion: 60.58% / [[163, 42, 25], [53, 95, 27], [28, 30, 57]] ------------------------------ Epoch 1730 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.038332 - Iter 024 / 025, Loss: 0.005811 * Train accuracy / confusion: 97.50% / [[347, 7, 1], [5, 260, 3], [2, 2, 173]], * Val accuracy / confusion: 57.50% / [[153, 54, 23], [52, 93, 30], [31, 31, 53]] ------------------------------ Epoch 1731 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.045021 - Iter 024 / 025, Loss: 0.016549 * Train accuracy / confusion: 97.62% / [[344, 8, 1], [6, 264, 0], [1, 3, 173]], * Val accuracy / confusion: 58.08% / [[154, 43, 33], [45, 96, 34], [30, 33, 52]] ------------------------------ Epoch 1732 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.084994 - Iter 024 / 025, Loss: 0.092999 * Train accuracy / confusion: 97.75% / [[347, 5, 0], [5, 259, 5], [1, 2, 176]], * Val accuracy / confusion: 58.85% / [[146, 54, 30], [44, 106, 25], [27, 34, 54]] ------------------------------ Epoch 1733 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.021185 - Iter 024 / 025, Loss: 0.012094 * Train accuracy / confusion: 98.25% / [[348, 5, 2], [4, 266, 1], [1, 1, 172]], * Val accuracy / confusion: 59.23% / [[153, 55, 22], [50, 98, 27], [27, 31, 57]] ------------------------------ Epoch 1734 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.056537 - Iter 024 / 025, Loss: 0.207268 * Train accuracy / confusion: 97.12% / [[343, 5, 2], [7, 259, 5], [2, 2, 175]], * Val accuracy / confusion: 58.46% / [[157, 46, 27], [50, 97, 28], [28, 37, 50]] ------------------------------ Epoch 1735 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.067131 - Iter 024 / 025, Loss: 0.095428 * Train accuracy / confusion: 98.38% / [[352, 4, 0], [5, 262, 1], [1, 2, 173]], * Val accuracy / confusion: 60.96% / [[170, 42, 18], [46, 92, 37], [28, 32, 55]] ------------------------------ Epoch 1736 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.088805 - Iter 024 / 025, Loss: 0.035966 * Train accuracy / confusion: 97.62% / [[345, 6, 1], [6, 262, 2], [1, 3, 174]], * Val accuracy / confusion: 56.15% / [[146, 52, 32], [46, 82, 47], [24, 27, 64]] ------------------------------ Epoch 1737 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.066118 - Iter 024 / 025, Loss: 0.019840 * Train accuracy / confusion: 97.75% / [[352, 4, 2], [6, 258, 0], [2, 4, 172]], * Val accuracy / confusion: 60.38% / [[159, 50, 21], [53, 97, 25], [28, 29, 58]] ------------------------------ Epoch 1738 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.040910 - Iter 024 / 025, Loss: 0.029266 * Train accuracy / confusion: 98.00% / [[349, 7, 1], [3, 260, 1], [2, 2, 175]], * Val accuracy / confusion: 59.04% / [[160, 53, 17], [54, 94, 27], [27, 35, 53]] ------------------------------ Epoch 1739 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016100 - Iter 024 / 025, Loss: 0.039563 * Train accuracy / confusion: 98.25% / [[355, 2, 1], [8, 257, 2], [1, 0, 174]], * Val accuracy / confusion: 57.88% / [[153, 48, 29], [48, 95, 32], [25, 37, 53]] ------------------------------ Epoch 1740 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.077525 - Iter 024 / 025, Loss: 0.043379 * Train accuracy / confusion: 96.62% / [[351, 7, 0], [11, 252, 5], [1, 3, 170]], * Val accuracy / confusion: 59.62% / [[159, 46, 25], [42, 97, 36], [26, 35, 54]] ------------------------------ Epoch 1741 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.057494 - Iter 024 / 025, Loss: 0.185807 * Train accuracy / confusion: 97.75% / [[352, 4, 3], [8, 257, 1], [0, 2, 173]], * Val accuracy / confusion: 59.23% / [[156, 42, 32], [44, 102, 29], [28, 37, 50]] ------------------------------ Epoch 1742 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.064476 - Iter 024 / 025, Loss: 0.034279 * Train accuracy / confusion: 98.62% / [[356, 2, 0], [3, 264, 0], [2, 4, 169]], * Val accuracy / confusion: 57.69% / [[154, 50, 26], [42, 94, 39], [27, 36, 52]] ------------------------------ Epoch 1743 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.021167 - Iter 024 / 025, Loss: 0.097663 * Train accuracy / confusion: 98.38% / [[352, 4, 0], [6, 258, 2], [1, 0, 177]], * Val accuracy / confusion: 56.54% / [[153, 54, 23], [62, 93, 20], [37, 30, 48]] ------------------------------ Epoch 1744 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.061705 - Iter 024 / 025, Loss: 0.084799 * Train accuracy / confusion: 97.12% / [[343, 6, 4], [7, 258, 2], [1, 3, 176]], * Val accuracy / confusion: 58.85% / [[162, 43, 25], [56, 91, 28], [29, 33, 53]] ------------------------------ Epoch 1745 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.133537 - Iter 024 / 025, Loss: 0.023828 * Train accuracy / confusion: 97.62% / [[348, 5, 3], [5, 264, 1], [2, 3, 169]], * Val accuracy / confusion: 56.15% / [[145, 53, 32], [51, 92, 32], [26, 34, 55]] ------------------------------ Epoch 1746 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.023746 - Iter 024 / 025, Loss: 0.020036 * Train accuracy / confusion: 97.38% / [[353, 6, 0], [6, 260, 3], [3, 3, 166]], * Val accuracy / confusion: 59.04% / [[156, 51, 23], [45, 94, 36], [27, 31, 57]] ------------------------------ Epoch 1747 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011337 - Iter 024 / 025, Loss: 0.079089 * Train accuracy / confusion: 97.25% / [[354, 3, 0], [8, 256, 5], [2, 4, 168]], * Val accuracy / confusion: 59.62% / [[156, 45, 29], [46, 97, 32], [24, 34, 57]] ------------------------------ Epoch 1748 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.118739 - Iter 024 / 025, Loss: 0.019589 * Train accuracy / confusion: 97.88% / [[350, 6, 0], [6, 258, 1], [1, 3, 175]], * Val accuracy / confusion: 56.54% / [[142, 57, 31], [52, 90, 33], [24, 29, 62]] ------------------------------ Epoch 1749 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.140498 - Iter 024 / 025, Loss: 0.024646 * Train accuracy / confusion: 97.62% / [[354, 4, 0], [5, 255, 5], [2, 3, 172]], * Val accuracy / confusion: 57.50% / [[150, 54, 26], [44, 102, 29], [28, 40, 47]] ------------------------------ Epoch 1750 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.049000 - Iter 024 / 025, Loss: 0.055863 * Train accuracy / confusion: 98.38% / [[353, 2, 1], [3, 265, 1], [3, 3, 169]], * Val accuracy / confusion: 59.42% / [[151, 54, 25], [42, 104, 29], [22, 39, 54]] ------------------------------ Epoch 1751 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.048081 - Iter 024 / 025, Loss: 0.031562 * Train accuracy / confusion: 98.62% / [[355, 2, 2], [4, 257, 2], [0, 1, 177]], * Val accuracy / confusion: 60.58% / [[154, 52, 24], [38, 109, 28], [28, 35, 52]] ------------------------------ Epoch 1752 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010514 - Iter 024 / 025, Loss: 0.052844 * Train accuracy / confusion: 98.38% / [[351, 5, 1], [5, 263, 1], [0, 1, 173]], * Val accuracy / confusion: 60.58% / [[157, 41, 32], [46, 97, 32], [24, 30, 61]] ------------------------------ Epoch 1753 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.046405 - Iter 024 / 025, Loss: 0.009504 * Train accuracy / confusion: 98.25% / [[347, 3, 0], [7, 265, 3], [0, 1, 174]], * Val accuracy / confusion: 56.73% / [[154, 41, 35], [51, 89, 35], [28, 35, 52]] ------------------------------ Epoch 1754 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013624 - Iter 024 / 025, Loss: 0.149185 * Train accuracy / confusion: 97.38% / [[352, 4, 2], [5, 262, 1], [5, 4, 165]], * Val accuracy / confusion: 60.38% / [[162, 43, 25], [49, 103, 23], [23, 43, 49]] ------------------------------ Epoch 1755 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.278223 - Iter 024 / 025, Loss: 0.043821 * Train accuracy / confusion: 97.25% / [[346, 6, 4], [7, 254, 4], [1, 0, 178]], * Val accuracy / confusion: 58.46% / [[158, 51, 21], [50, 89, 36], [29, 29, 57]] ------------------------------ Epoch 1756 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.045570 - Iter 024 / 025, Loss: 0.028063 * Train accuracy / confusion: 98.50% / [[354, 4, 1], [5, 261, 1], [1, 0, 173]], * Val accuracy / confusion: 60.19% / [[161, 41, 28], [43, 100, 32], [33, 30, 52]] ------------------------------ Epoch 1757 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.025653 - Iter 024 / 025, Loss: 0.060388 * Train accuracy / confusion: 98.12% / [[354, 4, 1], [6, 258, 3], [1, 0, 173]], * Val accuracy / confusion: 55.58% / [[152, 49, 29], [53, 88, 34], [22, 44, 49]] ------------------------------ Epoch 1758 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.143121 - Iter 024 / 025, Loss: 0.061259 * Train accuracy / confusion: 97.75% / [[356, 2, 1], [7, 257, 3], [1, 4, 169]], * Val accuracy / confusion: 57.50% / [[156, 50, 24], [47, 101, 27], [30, 43, 42]] ------------------------------ Epoch 1759 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.046492 - Iter 024 / 025, Loss: 0.011933 * Train accuracy / confusion: 98.38% / [[351, 5, 0], [2, 263, 2], [3, 1, 173]], * Val accuracy / confusion: 58.46% / [[156, 45, 29], [50, 100, 25], [29, 38, 48]] ------------------------------ Epoch 1760 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.044066 - Iter 024 / 025, Loss: 0.118255 * Train accuracy / confusion: 97.38% / [[348, 5, 3], [6, 255, 2], [1, 4, 176]], * Val accuracy / confusion: 58.08% / [[154, 51, 25], [52, 95, 28], [28, 34, 53]] ------------------------------ Epoch 1761 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.064631 - Iter 024 / 025, Loss: 0.293339 * Train accuracy / confusion: 98.12% / [[353, 3, 3], [3, 258, 1], [1, 4, 174]], * Val accuracy / confusion: 59.04% / [[152, 54, 24], [45, 102, 28], [22, 40, 53]] ------------------------------ Epoch 1762 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.031177 - Iter 024 / 025, Loss: 0.010557 * Train accuracy / confusion: 98.50% / [[351, 5, 4], [3, 262, 0], [0, 0, 175]], * Val accuracy / confusion: 56.54% / [[148, 54, 28], [51, 93, 31], [25, 37, 53]] ------------------------------ Epoch 1763 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012835 - Iter 024 / 025, Loss: 0.093418 * Train accuracy / confusion: 97.88% / [[348, 4, 2], [8, 257, 1], [0, 2, 178]], * Val accuracy / confusion: 55.96% / [[155, 45, 30], [56, 88, 31], [28, 39, 48]] ------------------------------ Epoch 1764 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.031718 - Iter 024 / 025, Loss: 0.024371 * Train accuracy / confusion: 97.75% / [[349, 3, 3], [8, 258, 3], [1, 0, 175]], * Val accuracy / confusion: 58.27% / [[156, 47, 27], [56, 89, 30], [24, 33, 58]] ------------------------------ Epoch 1765 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.026757 - Iter 024 / 025, Loss: 0.053164 * Train accuracy / confusion: 98.62% / [[352, 3, 1], [2, 262, 0], [3, 2, 175]], * Val accuracy / confusion: 57.88% / [[148, 53, 29], [48, 98, 29], [21, 39, 55]] ------------------------------ Epoch 1766 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.027837 - Iter 024 / 025, Loss: 0.091473 * Train accuracy / confusion: 98.00% / [[343, 6, 2], [5, 265, 1], [1, 1, 176]], * Val accuracy / confusion: 59.23% / [[160, 48, 22], [57, 94, 24], [29, 32, 54]] ------------------------------ Epoch 1767 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.025274 - Iter 024 / 025, Loss: 0.073787 * Train accuracy / confusion: 98.75% / [[350, 0, 2], [5, 264, 2], [1, 0, 176]], * Val accuracy / confusion: 58.08% / [[155, 48, 27], [56, 89, 30], [26, 31, 58]] ------------------------------ Epoch 1768 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.044361 - Iter 024 / 025, Loss: 0.097101 * Train accuracy / confusion: 97.75% / [[351, 5, 0], [5, 261, 2], [1, 5, 170]], * Val accuracy / confusion: 59.62% / [[157, 45, 28], [42, 94, 39], [19, 37, 59]] ------------------------------ Epoch 1769 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.029691 - Iter 024 / 025, Loss: 0.097256 * Train accuracy / confusion: 97.88% / [[353, 4, 0], [8, 259, 0], [1, 4, 171]], * Val accuracy / confusion: 59.81% / [[159, 46, 25], [43, 96, 36], [21, 38, 56]] ------------------------------ Epoch 1770 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.026711 - Iter 024 / 025, Loss: 0.132844 * Train accuracy / confusion: 98.12% / [[352, 1, 1], [8, 260, 1], [0, 4, 173]], * Val accuracy / confusion: 56.35% / [[156, 41, 33], [56, 90, 29], [33, 35, 47]] ------------------------------ Epoch 1771 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.031699 - Iter 024 / 025, Loss: 0.014019 * Train accuracy / confusion: 98.12% / [[348, 6, 0], [4, 266, 3], [1, 1, 171]], * Val accuracy / confusion: 58.27% / [[156, 51, 23], [45, 94, 36], [29, 33, 53]] ------------------------------ Epoch 1772 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.196713 - Iter 024 / 025, Loss: 0.012691 * Train accuracy / confusion: 97.00% / [[344, 10, 0], [6, 265, 3], [3, 2, 167]], * Val accuracy / confusion: 59.23% / [[157, 44, 29], [48, 97, 30], [25, 36, 54]] ------------------------------ Epoch 1773 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.038249 - Iter 024 / 025, Loss: 0.075049 * Train accuracy / confusion: 98.50% / [[348, 3, 1], [4, 266, 0], [2, 2, 174]], * Val accuracy / confusion: 56.73% / [[150, 49, 31], [53, 93, 29], [30, 33, 52]] ------------------------------ Epoch 1774 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.031579 - Iter 024 / 025, Loss: 0.035161 * Train accuracy / confusion: 97.38% / [[350, 7, 0], [8, 255, 3], [1, 2, 174]], * Val accuracy / confusion: 60.38% / [[157, 48, 25], [54, 101, 20], [27, 32, 56]] ------------------------------ Epoch 1775 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.025988 - Iter 024 / 025, Loss: 0.039912 * Train accuracy / confusion: 98.00% / [[349, 9, 1], [3, 260, 1], [0, 2, 175]], * Val accuracy / confusion: 57.69% / [[154, 43, 33], [56, 88, 31], [23, 34, 58]] ------------------------------ Epoch 1776 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.118048 - Iter 024 / 025, Loss: 0.031250 * Train accuracy / confusion: 98.00% / [[348, 5, 3], [4, 263, 3], [0, 1, 173]], * Val accuracy / confusion: 59.04% / [[156, 44, 30], [46, 97, 32], [20, 41, 54]] ------------------------------ Epoch 1777 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015201 - Iter 024 / 025, Loss: 0.034287 * Train accuracy / confusion: 98.25% / [[352, 4, 1], [2, 264, 4], [1, 2, 170]], * Val accuracy / confusion: 60.38% / [[161, 47, 22], [50, 95, 30], [26, 31, 58]] ------------------------------ Epoch 1778 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.130883 - Iter 024 / 025, Loss: 0.042928 * Train accuracy / confusion: 98.50% / [[357, 1, 2], [5, 259, 3], [1, 0, 172]], * Val accuracy / confusion: 58.46% / [[151, 55, 24], [51, 98, 26], [31, 29, 55]] ------------------------------ Epoch 1779 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018458 - Iter 024 / 025, Loss: 0.203433 * Train accuracy / confusion: 98.12% / [[351, 3, 1], [3, 258, 4], [3, 1, 176]], * Val accuracy / confusion: 57.12% / [[154, 50, 26], [52, 91, 32], [27, 36, 52]] ------------------------------ Epoch 1780 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.037230 - Iter 024 / 025, Loss: 0.005940 * Train accuracy / confusion: 98.12% / [[351, 2, 0], [6, 262, 2], [2, 3, 172]], * Val accuracy / confusion: 56.54% / [[155, 46, 29], [49, 93, 33], [25, 44, 46]] ------------------------------ Epoch 1781 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.038585 - Iter 024 / 025, Loss: 0.045424 * Train accuracy / confusion: 98.12% / [[352, 1, 1], [9, 257, 2], [1, 1, 176]], * Val accuracy / confusion: 56.54% / [[157, 47, 26], [50, 88, 37], [31, 35, 49]] ------------------------------ Epoch 1782 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.048699 - Iter 024 / 025, Loss: 0.038351 * Train accuracy / confusion: 98.38% / [[352, 3, 0], [4, 259, 3], [0, 3, 176]], * Val accuracy / confusion: 58.27% / [[155, 49, 26], [58, 91, 26], [26, 32, 57]] ------------------------------ Epoch 1783 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024546 - Iter 024 / 025, Loss: 0.098320 * Train accuracy / confusion: 97.88% / [[342, 9, 3], [3, 265, 1], [1, 0, 176]], * Val accuracy / confusion: 56.35% / [[145, 48, 37], [49, 93, 33], [29, 31, 55]] ------------------------------ Epoch 1784 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.041425 - Iter 024 / 025, Loss: 0.015411 * Train accuracy / confusion: 96.88% / [[343, 6, 0], [7, 260, 3], [6, 3, 172]], * Val accuracy / confusion: 53.65% / [[152, 48, 30], [62, 79, 34], [35, 32, 48]] ------------------------------ Epoch 1785 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016327 - Iter 024 / 025, Loss: 0.027630 * Train accuracy / confusion: 98.25% / [[353, 5, 0], [5, 258, 2], [1, 1, 175]], * Val accuracy / confusion: 57.12% / [[152, 46, 32], [51, 90, 34], [28, 32, 55]] ------------------------------ Epoch 1786 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.136121 - Iter 024 / 025, Loss: 0.118679 * Train accuracy / confusion: 98.12% / [[351, 4, 1], [5, 263, 4], [0, 1, 171]], * Val accuracy / confusion: 57.50% / [[146, 50, 34], [40, 100, 35], [29, 33, 53]] ------------------------------ Epoch 1787 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.071695 - Iter 024 / 025, Loss: 0.146283 * Train accuracy / confusion: 97.50% / [[346, 4, 5], [6, 260, 2], [3, 0, 174]], * Val accuracy / confusion: 56.35% / [[155, 47, 28], [55, 84, 36], [27, 34, 54]] ------------------------------ Epoch 1788 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.043401 - Iter 024 / 025, Loss: 0.046006 * Train accuracy / confusion: 99.00% / [[356, 1, 1], [3, 263, 2], [1, 0, 173]], * Val accuracy / confusion: 57.31% / [[152, 52, 26], [55, 93, 27], [28, 34, 53]] ------------------------------ Epoch 1789 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012984 - Iter 024 / 025, Loss: 0.049827 * Train accuracy / confusion: 97.88% / [[352, 6, 2], [4, 260, 1], [1, 3, 171]], * Val accuracy / confusion: 56.54% / [[146, 55, 29], [44, 101, 30], [27, 41, 47]] ------------------------------ Epoch 1790 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.074040 - Iter 024 / 025, Loss: 0.032482 * Train accuracy / confusion: 97.12% / [[349, 7, 3], [6, 254, 6], [0, 1, 174]], * Val accuracy / confusion: 58.27% / [[151, 51, 28], [48, 95, 32], [25, 33, 57]] ------------------------------ Epoch 1791 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.034128 - Iter 024 / 025, Loss: 0.067968 * Train accuracy / confusion: 97.75% / [[348, 8, 1], [4, 263, 2], [0, 3, 171]], * Val accuracy / confusion: 57.69% / [[152, 53, 25], [49, 96, 30], [35, 28, 52]] ------------------------------ Epoch 1792 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.014038 - Iter 024 / 025, Loss: 0.061662 * Train accuracy / confusion: 97.38% / [[349, 7, 0], [8, 259, 2], [4, 0, 171]], * Val accuracy / confusion: 60.00% / [[166, 45, 19], [54, 89, 32], [26, 32, 57]] ------------------------------ Epoch 1793 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.092232 - Iter 024 / 025, Loss: 0.037049 * Train accuracy / confusion: 98.25% / [[348, 3, 1], [5, 263, 2], [2, 1, 175]], * Val accuracy / confusion: 58.08% / [[156, 46, 28], [54, 89, 32], [26, 32, 57]] ------------------------------ Epoch 1794 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.185080 - Iter 024 / 025, Loss: 0.116292 * Train accuracy / confusion: 97.75% / [[346, 6, 0], [7, 264, 1], [0, 4, 172]], * Val accuracy / confusion: 60.00% / [[166, 45, 19], [48, 93, 34], [27, 35, 53]] ------------------------------ Epoch 1795 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.191707 - Iter 024 / 025, Loss: 0.093960 * Train accuracy / confusion: 97.50% / [[350, 5, 3], [5, 260, 3], [3, 1, 170]], * Val accuracy / confusion: 56.92% / [[152, 46, 32], [53, 93, 29], [24, 40, 51]] ------------------------------ Epoch 1796 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.086526 - Iter 024 / 025, Loss: 0.129509 * Train accuracy / confusion: 97.12% / [[352, 4, 3], [6, 259, 2], [4, 4, 166]], * Val accuracy / confusion: 59.23% / [[161, 44, 25], [50, 97, 28], [36, 29, 50]] ------------------------------ Epoch 1797 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011564 - Iter 024 / 025, Loss: 0.022229 * Train accuracy / confusion: 98.12% / [[347, 2, 2], [6, 264, 2], [1, 2, 174]], * Val accuracy / confusion: 60.00% / [[160, 38, 32], [47, 95, 33], [26, 32, 57]] ------------------------------ Epoch 1798 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.194526 - Iter 024 / 025, Loss: 0.020457 * Train accuracy / confusion: 96.88% / [[352, 3, 3], [8, 254, 5], [2, 4, 169]], * Val accuracy / confusion: 57.31% / [[152, 54, 24], [50, 90, 35], [32, 27, 56]] ------------------------------ Epoch 1799 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.036956 - Iter 024 / 025, Loss: 0.064361 * Train accuracy / confusion: 98.88% / [[355, 5, 1], [1, 263, 2], [0, 0, 173]], * Val accuracy / confusion: 59.42% / [[156, 51, 23], [43, 101, 31], [29, 34, 52]] ------------------------------ Epoch 1800 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015503 - Iter 024 / 025, Loss: 0.087010 * Train accuracy / confusion: 97.25% / [[349, 6, 2], [7, 257, 3], [3, 1, 172]], * Val accuracy / confusion: 60.96% / [[162, 39, 29], [45, 100, 30], [31, 29, 55]] ------------------------------ Epoch 1801 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.036989 - Iter 024 / 025, Loss: 0.041934 * Train accuracy / confusion: 97.50% / [[349, 6, 1], [7, 258, 1], [3, 2, 173]], * Val accuracy / confusion: 56.15% / [[150, 57, 23], [44, 94, 37], [26, 41, 48]] ------------------------------ Epoch 1802 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.063883 - Iter 024 / 025, Loss: 0.033284 * Train accuracy / confusion: 97.62% / [[344, 5, 2], [5, 261, 3], [1, 3, 176]], * Val accuracy / confusion: 59.23% / [[159, 42, 29], [43, 96, 36], [28, 34, 53]] ------------------------------ Epoch 1803 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.033323 - Iter 024 / 025, Loss: 0.126865 * Train accuracy / confusion: 97.88% / [[357, 0, 0], [8, 257, 3], [3, 3, 169]], * Val accuracy / confusion: 58.46% / [[158, 44, 28], [46, 101, 28], [31, 39, 45]] ------------------------------ Epoch 1804 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.024105 - Iter 024 / 025, Loss: 0.127170 * Train accuracy / confusion: 98.88% / [[357, 2, 0], [5, 261, 1], [1, 0, 173]], * Val accuracy / confusion: 58.08% / [[157, 46, 27], [51, 94, 30], [29, 35, 51]] ------------------------------ Epoch 1805 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.032845 - Iter 024 / 025, Loss: 0.008762 * Train accuracy / confusion: 98.12% / [[351, 6, 2], [5, 262, 2], [0, 0, 172]], * Val accuracy / confusion: 59.23% / [[150, 53, 27], [49, 103, 23], [27, 33, 55]] ------------------------------ Epoch 1806 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.100568 - Iter 024 / 025, Loss: 0.046106 * Train accuracy / confusion: 98.12% / [[348, 6, 3], [2, 262, 1], [2, 1, 175]], * Val accuracy / confusion: 60.38% / [[161, 48, 21], [57, 99, 19], [28, 33, 54]] ------------------------------ Epoch 1807 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.117264 - Iter 024 / 025, Loss: 0.048525 * Train accuracy / confusion: 97.88% / [[349, 5, 0], [6, 259, 4], [1, 1, 175]], * Val accuracy / confusion: 60.96% / [[161, 44, 25], [48, 103, 24], [28, 34, 53]] ------------------------------ Epoch 1808 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.012718 - Iter 024 / 025, Loss: 0.019992 * Train accuracy / confusion: 97.62% / [[347, 10, 1], [3, 260, 1], [2, 2, 174]], * Val accuracy / confusion: 58.08% / [[153, 55, 22], [47, 98, 30], [30, 34, 51]] ------------------------------ Epoch 1809 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.515985 - Iter 024 / 025, Loss: 0.106840 * Train accuracy / confusion: 96.50% / [[345, 6, 4], [8, 255, 4], [2, 4, 172]], * Val accuracy / confusion: 59.62% / [[151, 45, 34], [41, 105, 29], [25, 36, 54]] ------------------------------ Epoch 1810 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.025271 - Iter 024 / 025, Loss: 0.041790 * Train accuracy / confusion: 98.12% / [[349, 4, 2], [6, 258, 2], [1, 0, 178]], * Val accuracy / confusion: 56.92% / [[155, 44, 31], [50, 91, 34], [30, 35, 50]] ------------------------------ Epoch 1811 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.017741 - Iter 024 / 025, Loss: 0.026923 * Train accuracy / confusion: 98.75% / [[359, 1, 0], [3, 261, 2], [2, 2, 170]], * Val accuracy / confusion: 57.69% / [[152, 48, 30], [53, 94, 28], [25, 36, 54]] ------------------------------ Epoch 1812 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.072377 - Iter 024 / 025, Loss: 0.029705 * Train accuracy / confusion: 98.12% / [[347, 3, 0], [7, 260, 2], [0, 3, 178]], * Val accuracy / confusion: 58.46% / [[161, 42, 27], [56, 94, 25], [32, 34, 49]] ------------------------------ Epoch 1813 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.037048 - Iter 024 / 025, Loss: 0.022991 * Train accuracy / confusion: 97.75% / [[353, 3, 3], [7, 260, 2], [1, 2, 169]], * Val accuracy / confusion: 56.15% / [[152, 54, 24], [49, 92, 34], [27, 40, 48]] ------------------------------ Epoch 1814 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.158468 - Iter 024 / 025, Loss: 0.087629 * Train accuracy / confusion: 97.12% / [[339, 9, 2], [5, 263, 1], [2, 4, 175]], * Val accuracy / confusion: 58.85% / [[166, 40, 24], [56, 85, 34], [27, 33, 55]] ------------------------------ Epoch 1815 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.067977 - Iter 024 / 025, Loss: 0.011106 * Train accuracy / confusion: 97.62% / [[354, 4, 1], [5, 257, 3], [2, 4, 170]], * Val accuracy / confusion: 56.92% / [[151, 51, 28], [51, 92, 32], [27, 35, 53]] ------------------------------ Epoch 1816 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.063540 - Iter 024 / 025, Loss: 0.143003 * Train accuracy / confusion: 98.00% / [[354, 3, 1], [3, 260, 2], [2, 5, 170]], * Val accuracy / confusion: 58.85% / [[154, 52, 24], [55, 94, 26], [29, 28, 58]] ------------------------------ Epoch 1817 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.115669 - Iter 024 / 025, Loss: 0.041939 * Train accuracy / confusion: 97.25% / [[347, 5, 2], [7, 258, 4], [2, 2, 173]], * Val accuracy / confusion: 59.04% / [[158, 44, 28], [53, 91, 31], [29, 28, 58]] ------------------------------ Epoch 1818 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.043897 - Iter 024 / 025, Loss: 0.017938 * Train accuracy / confusion: 97.62% / [[347, 6, 3], [7, 258, 2], [0, 1, 176]], * Val accuracy / confusion: 60.00% / [[165, 38, 27], [46, 95, 34], [25, 38, 52]] ------------------------------ Epoch 1819 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.082866 - Iter 024 / 025, Loss: 0.076972 * Train accuracy / confusion: 98.75% / [[356, 1, 2], [5, 262, 1], [0, 1, 172]], * Val accuracy / confusion: 61.73% / [[163, 41, 26], [42, 98, 35], [25, 30, 60]] ------------------------------ Epoch 1820 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.084268 - Iter 024 / 025, Loss: 0.042594 * Train accuracy / confusion: 96.50% / [[346, 10, 1], [11, 254, 5], [0, 1, 172]], * Val accuracy / confusion: 57.31% / [[149, 49, 32], [48, 93, 34], [24, 35, 56]] ------------------------------ Epoch 1821 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.037648 - Iter 024 / 025, Loss: 0.061821 * Train accuracy / confusion: 98.00% / [[348, 4, 2], [7, 260, 1], [1, 1, 176]], * Val accuracy / confusion: 57.50% / [[158, 46, 26], [52, 86, 37], [29, 31, 55]] ------------------------------ Epoch 1822 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.003259 - Iter 024 / 025, Loss: 0.029628 * Train accuracy / confusion: 97.88% / [[348, 4, 2], [7, 260, 2], [2, 0, 175]], * Val accuracy / confusion: 58.08% / [[149, 55, 26], [48, 96, 31], [24, 34, 57]] ------------------------------ Epoch 1823 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.061290 - Iter 024 / 025, Loss: 0.211686 * Train accuracy / confusion: 98.75% / [[356, 3, 0], [6, 256, 0], [1, 0, 178]], * Val accuracy / confusion: 58.46% / [[153, 55, 22], [53, 97, 25], [25, 36, 54]] ------------------------------ Epoch 1824 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.021870 - Iter 024 / 025, Loss: 0.065590 * Train accuracy / confusion: 98.38% / [[350, 2, 0], [5, 264, 0], [1, 5, 173]], * Val accuracy / confusion: 59.23% / [[162, 42, 26], [58, 91, 26], [29, 31, 55]] ------------------------------ Epoch 1825 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.014594 - Iter 024 / 025, Loss: 0.021806 * Train accuracy / confusion: 98.62% / [[356, 1, 2], [6, 263, 0], [1, 1, 170]], * Val accuracy / confusion: 59.42% / [[150, 54, 26], [38, 101, 36], [29, 28, 58]] ------------------------------ Epoch 1826 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.205951 - Iter 024 / 025, Loss: 0.032507 * Train accuracy / confusion: 96.62% / [[342, 8, 2], [7, 258, 5], [1, 4, 173]], * Val accuracy / confusion: 56.54% / [[148, 50, 32], [45, 96, 34], [23, 42, 50]] ------------------------------ Epoch 1827 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.068410 - Iter 024 / 025, Loss: 0.035510 * Train accuracy / confusion: 97.38% / [[345, 5, 3], [8, 262, 1], [2, 2, 172]], * Val accuracy / confusion: 56.54% / [[153, 55, 22], [49, 95, 31], [30, 39, 46]] ------------------------------ Epoch 1828 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.050619 - Iter 024 / 025, Loss: 0.030754 * Train accuracy / confusion: 97.62% / [[355, 3, 2], [7, 255, 3], [1, 3, 171]], * Val accuracy / confusion: 59.04% / [[154, 51, 25], [46, 98, 31], [33, 27, 55]] ------------------------------ Epoch 1829 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.056437 - Iter 024 / 025, Loss: 0.007078 * Train accuracy / confusion: 98.50% / [[351, 4, 3], [3, 260, 2], [0, 0, 177]], * Val accuracy / confusion: 57.50% / [[150, 52, 28], [46, 93, 36], [25, 34, 56]] ------------------------------ Epoch 1830 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.201810 - Iter 024 / 025, Loss: 0.014051 * Train accuracy / confusion: 97.88% / [[350, 6, 0], [3, 263, 1], [2, 5, 170]], * Val accuracy / confusion: 63.65% / [[171, 45, 14], [46, 105, 24], [29, 31, 55]] ------------------------------ Epoch 1831 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.089500 - Iter 024 / 025, Loss: 0.052920 * Train accuracy / confusion: 97.75% / [[353, 2, 0], [8, 258, 3], [2, 3, 171]], * Val accuracy / confusion: 59.04% / [[156, 50, 24], [52, 97, 26], [25, 36, 54]] ------------------------------ Epoch 1832 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.020288 - Iter 024 / 025, Loss: 0.013296 * Train accuracy / confusion: 98.00% / [[355, 1, 0], [9, 252, 5], [0, 1, 177]], * Val accuracy / confusion: 60.77% / [[167, 45, 18], [53, 97, 25], [28, 35, 52]] ------------------------------ Epoch 1833 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.056176 - Iter 024 / 025, Loss: 0.175287 * Train accuracy / confusion: 97.88% / [[352, 3, 0], [7, 262, 2], [1, 4, 169]], * Val accuracy / confusion: 60.00% / [[156, 45, 29], [50, 101, 24], [28, 32, 55]] ------------------------------ Epoch 1834 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.041096 - Iter 024 / 025, Loss: 0.023677 * Train accuracy / confusion: 98.25% / [[349, 3, 3], [6, 263, 0], [1, 1, 174]], * Val accuracy / confusion: 58.85% / [[157, 45, 28], [50, 98, 27], [28, 36, 51]] ------------------------------ Epoch 1835 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.131244 - Iter 024 / 025, Loss: 0.044398 * Train accuracy / confusion: 98.12% / [[352, 3, 1], [3, 259, 6], [0, 2, 174]], * Val accuracy / confusion: 57.69% / [[159, 47, 24], [53, 90, 32], [25, 39, 51]] ------------------------------ Epoch 1836 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.061457 - Iter 024 / 025, Loss: 0.067988 * Train accuracy / confusion: 98.50% / [[356, 2, 0], [3, 261, 1], [2, 4, 171]], * Val accuracy / confusion: 60.19% / [[158, 42, 30], [44, 103, 28], [26, 37, 52]] ------------------------------ Epoch 1837 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.026807 - Iter 024 / 025, Loss: 0.080169 * Train accuracy / confusion: 97.25% / [[345, 7, 1], [8, 262, 1], [1, 4, 171]], * Val accuracy / confusion: 55.77% / [[152, 47, 31], [56, 89, 30], [34, 32, 49]] ------------------------------ Epoch 1838 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.045165 - Iter 024 / 025, Loss: 0.189758 * Train accuracy / confusion: 97.50% / [[350, 4, 3], [5, 260, 2], [4, 2, 170]], * Val accuracy / confusion: 58.85% / [[159, 50, 21], [51, 93, 31], [26, 35, 54]] ------------------------------ Epoch 1839 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.062162 - Iter 024 / 025, Loss: 0.359666 * Train accuracy / confusion: 97.50% / [[347, 7, 1], [7, 258, 1], [3, 1, 175]], * Val accuracy / confusion: 59.04% / [[154, 48, 28], [49, 104, 22], [29, 37, 49]] ------------------------------ Epoch 1840 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.029569 - Iter 024 / 025, Loss: 0.072403 * Train accuracy / confusion: 99.25% / [[354, 2, 0], [3, 265, 1], [0, 0, 175]], * Val accuracy / confusion: 58.46% / [[157, 43, 30], [46, 98, 31], [27, 39, 49]] ------------------------------ Epoch 1841 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.179572 - Iter 024 / 025, Loss: 0.006158 * Train accuracy / confusion: 97.50% / [[354, 3, 1], [7, 258, 4], [3, 2, 168]], * Val accuracy / confusion: 59.23% / [[157, 49, 24], [53, 100, 22], [29, 35, 51]] ------------------------------ Epoch 1842 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.044779 - Iter 024 / 025, Loss: 0.053772 * Train accuracy / confusion: 98.25% / [[354, 2, 2], [5, 259, 2], [2, 1, 173]], * Val accuracy / confusion: 58.46% / [[156, 45, 29], [50, 95, 30], [29, 33, 53]] ------------------------------ Epoch 1843 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.047151 - Iter 024 / 025, Loss: 0.217966 * Train accuracy / confusion: 98.38% / [[355, 5, 0], [5, 262, 1], [0, 2, 170]], * Val accuracy / confusion: 59.23% / [[151, 42, 37], [43, 98, 34], [22, 34, 59]] ------------------------------ Epoch 1844 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.053811 - Iter 024 / 025, Loss: 0.028267 * Train accuracy / confusion: 98.00% / [[349, 3, 2], [5, 261, 2], [1, 3, 174]], * Val accuracy / confusion: 56.73% / [[150, 52, 28], [56, 89, 30], [27, 32, 56]] ------------------------------ Epoch 1845 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.095570 - Iter 024 / 025, Loss: 0.079316 * Train accuracy / confusion: 97.75% / [[349, 6, 2], [3, 260, 6], [1, 0, 173]], * Val accuracy / confusion: 57.69% / [[158, 51, 21], [44, 93, 38], [29, 37, 49]] ------------------------------ Epoch 1846 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.023300 - Iter 024 / 025, Loss: 0.048707 * Train accuracy / confusion: 98.75% / [[356, 1, 1], [3, 264, 2], [0, 3, 170]], * Val accuracy / confusion: 58.85% / [[154, 47, 29], [48, 100, 27], [25, 38, 52]] ------------------------------ Epoch 1847 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.014972 - Iter 024 / 025, Loss: 0.024220 * Train accuracy / confusion: 97.38% / [[349, 7, 2], [7, 259, 2], [2, 1, 171]], * Val accuracy / confusion: 60.00% / [[152, 46, 32], [36, 108, 31], [31, 32, 52]] ------------------------------ Epoch 1848 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.046869 - Iter 024 / 025, Loss: 0.035305 * Train accuracy / confusion: 97.50% / [[347, 6, 2], [3, 262, 2], [3, 4, 171]], * Val accuracy / confusion: 60.38% / [[152, 50, 28], [49, 96, 30], [22, 27, 66]] ------------------------------ Epoch 1849 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.087122 - Iter 024 / 025, Loss: 0.056716 * Train accuracy / confusion: 97.88% / [[349, 5, 3], [3, 266, 3], [2, 1, 168]], * Val accuracy / confusion: 58.46% / [[157, 42, 31], [52, 91, 32], [24, 35, 56]] ------------------------------ Epoch 1850 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.047642 - Iter 024 / 025, Loss: 0.011331 * Train accuracy / confusion: 98.62% / [[349, 3, 2], [5, 263, 0], [0, 1, 177]], * Val accuracy / confusion: 58.46% / [[154, 49, 27], [52, 97, 26], [25, 37, 53]] ------------------------------ Epoch 1851 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.214770 - Iter 024 / 025, Loss: 0.024013 * Train accuracy / confusion: 96.88% / [[341, 8, 3], [8, 258, 2], [3, 1, 176]], * Val accuracy / confusion: 56.54% / [[148, 56, 26], [58, 90, 27], [27, 32, 56]] ------------------------------ Epoch 1852 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.055159 - Iter 024 / 025, Loss: 0.068982 * Train accuracy / confusion: 97.88% / [[348, 6, 1], [4, 265, 0], [1, 5, 170]], * Val accuracy / confusion: 57.69% / [[148, 56, 26], [49, 99, 27], [32, 30, 53]] ------------------------------ Epoch 1853 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.008491 - Iter 024 / 025, Loss: 0.064231 * Train accuracy / confusion: 97.88% / [[351, 5, 3], [5, 259, 2], [1, 1, 173]], * Val accuracy / confusion: 58.85% / [[156, 47, 27], [44, 101, 30], [24, 42, 49]] ------------------------------ Epoch 1854 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.109639 - Iter 024 / 025, Loss: 0.065203 * Train accuracy / confusion: 98.12% / [[356, 1, 0], [5, 258, 5], [1, 3, 171]], * Val accuracy / confusion: 57.69% / [[149, 51, 30], [53, 91, 31], [27, 28, 60]] ------------------------------ Epoch 1855 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.070083 - Iter 024 / 025, Loss: 0.023104 * Train accuracy / confusion: 98.12% / [[355, 2, 2], [5, 258, 1], [1, 4, 172]], * Val accuracy / confusion: 58.27% / [[157, 51, 22], [49, 94, 32], [24, 39, 52]] ------------------------------ Epoch 1856 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.137951 - Iter 024 / 025, Loss: 0.071934 * Train accuracy / confusion: 98.25% / [[352, 5, 1], [2, 260, 2], [1, 3, 174]], * Val accuracy / confusion: 58.46% / [[148, 51, 31], [44, 102, 29], [26, 35, 54]] ------------------------------ Epoch 1857 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.140638 - Iter 024 / 025, Loss: 0.072886 * Train accuracy / confusion: 97.88% / [[348, 2, 3], [9, 259, 1], [0, 2, 176]], * Val accuracy / confusion: 56.92% / [[153, 49, 28], [56, 91, 28], [28, 35, 52]] ------------------------------ Epoch 1858 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.009962 - Iter 024 / 025, Loss: 0.089729 * Train accuracy / confusion: 96.75% / [[340, 9, 3], [6, 264, 4], [2, 2, 170]], * Val accuracy / confusion: 58.65% / [[155, 52, 23], [52, 96, 27], [22, 39, 54]] ------------------------------ Epoch 1859 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.133223 - Iter 024 / 025, Loss: 0.020939 * Train accuracy / confusion: 97.25% / [[351, 8, 1], [8, 257, 2], [1, 2, 170]], * Val accuracy / confusion: 59.81% / [[165, 44, 21], [51, 94, 30], [26, 37, 52]] ------------------------------ Epoch 1860 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.042572 - Iter 024 / 025, Loss: 0.022901 * Train accuracy / confusion: 98.12% / [[349, 6, 1], [2, 262, 3], [0, 3, 174]], * Val accuracy / confusion: 58.08% / [[156, 47, 27], [48, 97, 30], [32, 34, 49]] ------------------------------ Epoch 1861 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.013463 - Iter 024 / 025, Loss: 0.071656 * Train accuracy / confusion: 97.75% / [[351, 5, 1], [3, 262, 4], [2, 3, 169]], * Val accuracy / confusion: 59.81% / [[163, 43, 24], [49, 93, 33], [29, 31, 55]] ------------------------------ Epoch 1862 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.022726 - Iter 024 / 025, Loss: 0.032871 * Train accuracy / confusion: 98.75% / [[353, 4, 2], [2, 265, 2], [0, 0, 172]], * Val accuracy / confusion: 58.27% / [[159, 50, 21], [57, 90, 28], [27, 34, 54]] ------------------------------ Epoch 1863 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.019081 - Iter 024 / 025, Loss: 0.150481 * Train accuracy / confusion: 97.50% / [[348, 5, 2], [7, 258, 2], [2, 2, 174]], * Val accuracy / confusion: 59.81% / [[157, 38, 35], [46, 95, 34], [21, 35, 59]] ------------------------------ Epoch 1864 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.019314 - Iter 024 / 025, Loss: 0.020155 * Train accuracy / confusion: 97.88% / [[353, 8, 0], [4, 260, 2], [1, 2, 170]], * Val accuracy / confusion: 61.54% / [[158, 52, 20], [40, 104, 31], [17, 40, 58]] ------------------------------ Epoch 1865 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.149319 - Iter 024 / 025, Loss: 0.250326 * Train accuracy / confusion: 98.00% / [[350, 5, 1], [5, 261, 0], [3, 2, 173]], * Val accuracy / confusion: 58.46% / [[149, 57, 24], [52, 103, 20], [32, 31, 52]] ------------------------------ Epoch 1866 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.237991 - Iter 024 / 025, Loss: 0.064456 * Train accuracy / confusion: 98.25% / [[348, 3, 0], [4, 264, 4], [1, 2, 174]], * Val accuracy / confusion: 59.42% / [[158, 47, 25], [53, 91, 31], [29, 26, 60]] ------------------------------ Epoch 1867 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.020555 - Iter 024 / 025, Loss: 0.056877 * Train accuracy / confusion: 98.00% / [[351, 3, 0], [6, 261, 3], [4, 0, 172]], * Val accuracy / confusion: 56.73% / [[136, 66, 28], [44, 104, 27], [24, 36, 55]] ------------------------------ Epoch 1868 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.032157 - Iter 024 / 025, Loss: 0.106426 * Train accuracy / confusion: 96.75% / [[346, 9, 2], [9, 255, 2], [1, 3, 173]], * Val accuracy / confusion: 58.27% / [[151, 50, 29], [49, 99, 27], [27, 35, 53]] ------------------------------ Epoch 1869 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.021294 - Iter 024 / 025, Loss: 0.039210 * Train accuracy / confusion: 99.25% / [[358, 1, 1], [2, 260, 1], [0, 1, 176]], * Val accuracy / confusion: 60.77% / [[153, 56, 21], [45, 105, 25], [24, 33, 58]] ------------------------------ Epoch 1870 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.026262 - Iter 024 / 025, Loss: 0.037310 * Train accuracy / confusion: 97.62% / [[354, 2, 1], [6, 254, 4], [2, 4, 173]], * Val accuracy / confusion: 58.65% / [[159, 44, 27], [52, 96, 27], [35, 30, 50]] ------------------------------ Epoch 1871 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.082985 - Iter 024 / 025, Loss: 0.032512 * Train accuracy / confusion: 97.12% / [[351, 8, 2], [7, 258, 1], [3, 2, 168]], * Val accuracy / confusion: 56.35% / [[153, 50, 27], [53, 92, 30], [33, 34, 48]] ------------------------------ Epoch 1872 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.240822 - Iter 024 / 025, Loss: 0.148776 * Train accuracy / confusion: 97.88% / [[345, 5, 2], [6, 263, 2], [1, 1, 175]], * Val accuracy / confusion: 56.35% / [[156, 49, 25], [54, 90, 31], [34, 34, 47]] ------------------------------ Epoch 1873 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.152976 - Iter 024 / 025, Loss: 0.042734 * Train accuracy / confusion: 97.00% / [[348, 7, 0], [7, 258, 4], [3, 3, 170]], * Val accuracy / confusion: 58.85% / [[160, 47, 23], [50, 92, 33], [32, 29, 54]] ------------------------------ Epoch 1874 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.099746 - Iter 024 / 025, Loss: 0.105825 * Train accuracy / confusion: 98.00% / [[351, 3, 3], [4, 263, 1], [1, 4, 170]], * Val accuracy / confusion: 59.62% / [[162, 42, 26], [54, 91, 30], [29, 29, 57]] ------------------------------ Epoch 1875 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.010926 - Iter 024 / 025, Loss: 0.019736 * Train accuracy / confusion: 97.75% / [[353, 8, 0], [4, 258, 2], [3, 1, 171]], * Val accuracy / confusion: 60.00% / [[160, 50, 20], [49, 100, 26], [23, 40, 52]] ------------------------------ Epoch 1876 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.021499 - Iter 024 / 025, Loss: 0.018720 * Train accuracy / confusion: 97.25% / [[349, 8, 3], [7, 262, 1], [1, 2, 167]], * Val accuracy / confusion: 58.08% / [[152, 47, 31], [55, 93, 27], [29, 29, 57]] ------------------------------ Epoch 1877 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.055494 - Iter 024 / 025, Loss: 0.054338 * Train accuracy / confusion: 97.38% / [[351, 8, 1], [7, 253, 1], [1, 3, 175]], * Val accuracy / confusion: 57.50% / [[154, 52, 24], [51, 96, 28], [28, 38, 49]] ------------------------------ Epoch 1878 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.090350 - Iter 024 / 025, Loss: 0.021793 * Train accuracy / confusion: 98.00% / [[350, 4, 3], [5, 260, 2], [2, 0, 174]], * Val accuracy / confusion: 57.69% / [[145, 53, 32], [40, 100, 35], [23, 37, 55]] ------------------------------ Epoch 1879 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.083367 - Iter 024 / 025, Loss: 0.141263 * Train accuracy / confusion: 98.00% / [[353, 2, 2], [7, 262, 2], [0, 3, 169]], * Val accuracy / confusion: 59.81% / [[154, 48, 28], [45, 97, 33], [25, 30, 60]] ------------------------------ Epoch 1880 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.023930 - Iter 024 / 025, Loss: 0.040147 * Train accuracy / confusion: 98.88% / [[352, 0, 1], [4, 270, 1], [1, 2, 169]], * Val accuracy / confusion: 58.85% / [[155, 47, 28], [55, 90, 30], [24, 30, 61]] ------------------------------ Epoch 1881 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.083182 - Iter 024 / 025, Loss: 0.034330 * Train accuracy / confusion: 98.12% / [[350, 2, 2], [4, 263, 2], [1, 4, 172]], * Val accuracy / confusion: 58.08% / [[157, 41, 32], [51, 95, 29], [27, 38, 50]] ------------------------------ Epoch 1882 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.106498 - Iter 024 / 025, Loss: 0.016930 * Train accuracy / confusion: 98.12% / [[350, 5, 2], [6, 261, 0], [1, 1, 174]], * Val accuracy / confusion: 58.46% / [[153, 43, 34], [50, 92, 33], [33, 23, 59]] ------------------------------ Epoch 1883 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.004208 - Iter 024 / 025, Loss: 0.029408 * Train accuracy / confusion: 97.50% / [[347, 6, 2], [6, 253, 4], [1, 1, 180]], * Val accuracy / confusion: 59.23% / [[152, 49, 29], [46, 99, 30], [30, 28, 57]] ------------------------------ Epoch 1884 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.053688 - Iter 024 / 025, Loss: 0.077071 * Train accuracy / confusion: 98.00% / [[347, 6, 2], [4, 264, 1], [1, 2, 173]], * Val accuracy / confusion: 60.00% / [[152, 59, 19], [42, 104, 29], [23, 36, 56]] ------------------------------ Epoch 1885 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.017025 - Iter 024 / 025, Loss: 0.079315 * Train accuracy / confusion: 98.12% / [[347, 8, 0], [3, 263, 1], [2, 1, 175]], * Val accuracy / confusion: 58.65% / [[153, 53, 24], [50, 94, 31], [25, 32, 58]] ------------------------------ Epoch 1886 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.059025 - Iter 024 / 025, Loss: 0.055913 * Train accuracy / confusion: 98.38% / [[351, 0, 2], [5, 264, 2], [1, 3, 172]], * Val accuracy / confusion: 56.35% / [[155, 49, 26], [54, 90, 31], [33, 34, 48]] ------------------------------ Epoch 1887 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.034867 - Iter 024 / 025, Loss: 0.033110 * Train accuracy / confusion: 97.75% / [[351, 4, 3], [7, 258, 1], [2, 1, 173]], * Val accuracy / confusion: 59.81% / [[160, 51, 19], [58, 97, 20], [27, 34, 54]] ------------------------------ Epoch 1888 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.029453 - Iter 024 / 025, Loss: 0.108984 * Train accuracy / confusion: 98.12% / [[346, 8, 0], [4, 264, 1], [1, 1, 175]], * Val accuracy / confusion: 60.38% / [[157, 40, 33], [44, 106, 25], [35, 29, 51]] ------------------------------ Epoch 1889 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.090630 - Iter 024 / 025, Loss: 0.116700 * Train accuracy / confusion: 97.12% / [[351, 4, 1], [6, 257, 4], [5, 3, 169]], * Val accuracy / confusion: 60.00% / [[165, 46, 19], [45, 91, 39], [30, 29, 56]] ------------------------------ Epoch 1890 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.036691 - Iter 024 / 025, Loss: 0.017722 * Train accuracy / confusion: 98.62% / [[350, 3, 0], [5, 263, 1], [1, 1, 176]], * Val accuracy / confusion: 58.65% / [[157, 43, 30], [50, 99, 26], [26, 40, 49]] ------------------------------ Epoch 1891 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.050330 - Iter 024 / 025, Loss: 0.111041 * Train accuracy / confusion: 98.25% / [[352, 2, 1], [4, 262, 1], [4, 2, 172]], * Val accuracy / confusion: 61.54% / [[158, 49, 23], [46, 104, 25], [19, 38, 58]] ------------------------------ Epoch 1892 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.022886 - Iter 024 / 025, Loss: 0.266271 * Train accuracy / confusion: 97.25% / [[350, 4, 2], [6, 252, 4], [3, 3, 176]], * Val accuracy / confusion: 58.08% / [[152, 48, 30], [50, 96, 29], [27, 34, 54]] ------------------------------ Epoch 1893 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.025559 - Iter 024 / 025, Loss: 0.092679 * Train accuracy / confusion: 97.75% / [[353, 2, 0], [6, 258, 2], [3, 5, 171]], * Val accuracy / confusion: 59.23% / [[158, 48, 24], [52, 91, 32], [26, 30, 59]] ------------------------------ Epoch 1894 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.076433 - Iter 024 / 025, Loss: 0.022511 * Train accuracy / confusion: 98.00% / [[351, 4, 2], [5, 260, 1], [3, 1, 173]], * Val accuracy / confusion: 59.81% / [[161, 40, 29], [46, 99, 30], [23, 41, 51]] ------------------------------ Epoch 1895 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.063303 - Iter 024 / 025, Loss: 0.081515 * Train accuracy / confusion: 97.62% / [[347, 4, 3], [6, 262, 2], [3, 1, 172]], * Val accuracy / confusion: 56.92% / [[150, 49, 31], [48, 87, 40], [24, 32, 59]] ------------------------------ Epoch 1896 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.055451 - Iter 024 / 025, Loss: 0.134688 * Train accuracy / confusion: 97.62% / [[354, 4, 2], [7, 259, 0], [3, 3, 168]], * Val accuracy / confusion: 57.50% / [[150, 58, 22], [50, 94, 31], [21, 39, 55]] ------------------------------ Epoch 1897 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.040724 - Iter 024 / 025, Loss: 0.020683 * Train accuracy / confusion: 98.62% / [[352, 2, 1], [6, 261, 1], [0, 1, 176]], * Val accuracy / confusion: 60.96% / [[153, 45, 32], [40, 107, 28], [27, 31, 57]] ------------------------------ Epoch 1898 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.065605 - Iter 024 / 025, Loss: 0.008363 * Train accuracy / confusion: 98.50% / [[351, 3, 1], [3, 266, 2], [2, 1, 171]], * Val accuracy / confusion: 57.69% / [[157, 51, 22], [51, 87, 37], [29, 30, 56]] ------------------------------ Epoch 1899 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.027898 - Iter 024 / 025, Loss: 0.167041 * Train accuracy / confusion: 98.50% / [[349, 6, 0], [3, 269, 0], [0, 3, 170]], * Val accuracy / confusion: 58.46% / [[154, 49, 27], [44, 96, 35], [27, 34, 54]] ------------------------------ Epoch 1900 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.122250 - Iter 024 / 025, Loss: 0.031040 * Train accuracy / confusion: 97.75% / [[345, 4, 3], [6, 261, 1], [1, 3, 176]], * Val accuracy / confusion: 56.92% / [[146, 49, 35], [47, 96, 32], [23, 38, 54]] ------------------------------ Epoch 1901 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.008605 - Iter 024 / 025, Loss: 0.168390 * Train accuracy / confusion: 96.88% / [[343, 7, 7], [4, 265, 1], [2, 4, 167]], * Val accuracy / confusion: 58.08% / [[148, 51, 31], [48, 96, 31], [21, 36, 58]] ------------------------------ Epoch 1902 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.078083 - Iter 024 / 025, Loss: 0.006431 * Train accuracy / confusion: 98.00% / [[350, 5, 1], [4, 259, 3], [2, 1, 175]], * Val accuracy / confusion: 56.35% / [[151, 58, 21], [54, 96, 25], [36, 33, 46]] ------------------------------ Epoch 1903 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.042367 - Iter 024 / 025, Loss: 0.017966 * Train accuracy / confusion: 98.88% / [[356, 2, 1], [1, 261, 3], [1, 1, 174]], * Val accuracy / confusion: 58.46% / [[163, 40, 27], [53, 89, 33], [31, 32, 52]] ------------------------------ Epoch 1904 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.006101 - Iter 024 / 025, Loss: 0.073122 * Train accuracy / confusion: 98.00% / [[352, 5, 1], [7, 261, 0], [1, 2, 171]], * Val accuracy / confusion: 58.85% / [[154, 46, 30], [44, 97, 34], [29, 31, 55]] ------------------------------ Epoch 1905 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.041245 - Iter 024 / 025, Loss: 0.006391 * Train accuracy / confusion: 97.12% / [[344, 6, 3], [9, 259, 2], [1, 2, 174]], * Val accuracy / confusion: 59.04% / [[158, 50, 22], [50, 93, 32], [28, 31, 56]] ------------------------------ Epoch 1906 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.012840 - Iter 024 / 025, Loss: 0.101874 * Train accuracy / confusion: 97.38% / [[354, 5, 2], [4, 254, 4], [1, 5, 171]], * Val accuracy / confusion: 58.46% / [[159, 46, 25], [51, 90, 34], [31, 29, 55]] ------------------------------ Epoch 1907 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.130994 - Iter 024 / 025, Loss: 0.065408 * Train accuracy / confusion: 97.75% / [[344, 9, 1], [4, 262, 3], [1, 0, 176]], * Val accuracy / confusion: 59.23% / [[155, 46, 29], [51, 97, 27], [28, 31, 56]] ------------------------------ Epoch 1908 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.112471 - Iter 024 / 025, Loss: 0.072621 * Train accuracy / confusion: 98.38% / [[352, 3, 2], [6, 261, 0], [0, 2, 174]], * Val accuracy / confusion: 57.69% / [[145, 57, 28], [43, 97, 35], [26, 31, 58]] ------------------------------ Epoch 1909 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.017657 - Iter 024 / 025, Loss: 0.026924 * Train accuracy / confusion: 98.12% / [[355, 5, 0], [5, 256, 2], [0, 3, 174]], * Val accuracy / confusion: 58.27% / [[153, 48, 29], [39, 100, 36], [27, 38, 50]] ------------------------------ Epoch 1910 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.042504 - Iter 024 / 025, Loss: 0.100291 * Train accuracy / confusion: 97.88% / [[347, 7, 2], [4, 264, 1], [2, 1, 172]], * Val accuracy / confusion: 57.88% / [[153, 48, 29], [58, 92, 25], [29, 30, 56]] ------------------------------ Epoch 1911 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.009321 - Iter 024 / 025, Loss: 0.010415 * Train accuracy / confusion: 98.38% / [[347, 4, 1], [5, 267, 1], [1, 1, 173]], * Val accuracy / confusion: 58.85% / [[161, 49, 20], [53, 92, 30], [32, 30, 53]] ------------------------------ Epoch 1912 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.170558 - Iter 024 / 025, Loss: 0.174160 * Train accuracy / confusion: 97.62% / [[353, 3, 0], [6, 260, 3], [2, 5, 168]], * Val accuracy / confusion: 58.46% / [[144, 57, 29], [39, 100, 36], [22, 33, 60]] ------------------------------ Epoch 1913 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.039183 - Iter 024 / 025, Loss: 0.026528 * Train accuracy / confusion: 97.62% / [[348, 5, 2], [8, 259, 1], [1, 2, 174]], * Val accuracy / confusion: 59.04% / [[160, 42, 28], [52, 90, 33], [29, 29, 57]] ------------------------------ Epoch 1914 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.021453 - Iter 024 / 025, Loss: 0.102935 * Train accuracy / confusion: 98.62% / [[351, 3, 1], [3, 264, 1], [2, 1, 174]], * Val accuracy / confusion: 60.38% / [[155, 51, 24], [47, 103, 25], [23, 36, 56]] ------------------------------ Epoch 1915 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.041850 - Iter 024 / 025, Loss: 0.106115 * Train accuracy / confusion: 98.50% / [[355, 4, 1], [5, 258, 0], [0, 2, 175]], * Val accuracy / confusion: 59.42% / [[154, 56, 20], [47, 101, 27], [31, 30, 54]] ------------------------------ Epoch 1916 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.159841 - Iter 024 / 025, Loss: 0.080910 * Train accuracy / confusion: 98.00% / [[343, 6, 2], [5, 265, 1], [1, 1, 176]], * Val accuracy / confusion: 60.38% / [[155, 40, 35], [47, 98, 30], [24, 30, 61]] ------------------------------ Epoch 1917 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.046802 - Iter 024 / 025, Loss: 0.015567 * Train accuracy / confusion: 98.25% / [[351, 2, 2], [7, 261, 1], [0, 2, 174]], * Val accuracy / confusion: 59.42% / [[155, 53, 22], [43, 103, 29], [32, 32, 51]] ------------------------------ Epoch 1918 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.074303 - Iter 024 / 025, Loss: 0.003854 * Train accuracy / confusion: 98.75% / [[351, 3, 0], [3, 263, 1], [1, 2, 176]], * Val accuracy / confusion: 60.58% / [[158, 43, 29], [52, 100, 23], [31, 27, 57]] ------------------------------ Epoch 1919 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.083332 - Iter 024 / 025, Loss: 0.012171 * Train accuracy / confusion: 97.62% / [[347, 6, 2], [6, 259, 1], [2, 2, 175]], * Val accuracy / confusion: 56.73% / [[154, 49, 27], [52, 96, 27], [30, 40, 45]] ------------------------------ Epoch 1920 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.075900 - Iter 024 / 025, Loss: 0.025705 * Train accuracy / confusion: 97.88% / [[354, 3, 3], [7, 258, 2], [0, 2, 171]], * Val accuracy / confusion: 58.08% / [[150, 47, 33], [50, 92, 33], [23, 32, 60]] ------------------------------ Epoch 1921 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.045057 - Iter 024 / 025, Loss: 0.086424 * Train accuracy / confusion: 97.62% / [[344, 6, 2], [9, 259, 1], [0, 1, 178]], * Val accuracy / confusion: 58.65% / [[156, 43, 31], [49, 92, 34], [19, 39, 57]] ------------------------------ Epoch 1922 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.099335 - Iter 024 / 025, Loss: 0.027259 * Train accuracy / confusion: 97.38% / [[348, 6, 1], [9, 259, 2], [2, 1, 172]], * Val accuracy / confusion: 57.31% / [[153, 47, 30], [56, 93, 26], [26, 37, 52]] ------------------------------ Epoch 1923 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.040563 - Iter 024 / 025, Loss: 0.074424 * Train accuracy / confusion: 98.38% / [[351, 3, 1], [3, 263, 2], [0, 4, 173]], * Val accuracy / confusion: 58.27% / [[153, 59, 18], [52, 92, 31], [33, 24, 58]] ------------------------------ Epoch 1924 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.004318 - Iter 024 / 025, Loss: 0.041236 * Train accuracy / confusion: 98.00% / [[353, 5, 1], [7, 256, 2], [1, 0, 175]], * Val accuracy / confusion: 56.35% / [[153, 51, 26], [50, 94, 31], [26, 43, 46]] ------------------------------ Epoch 1925 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.020331 - Iter 024 / 025, Loss: 0.018629 * Train accuracy / confusion: 98.12% / [[351, 4, 1], [4, 263, 2], [2, 2, 171]], * Val accuracy / confusion: 57.50% / [[152, 49, 29], [41, 96, 38], [30, 34, 51]] ------------------------------ Epoch 1926 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.012508 - Iter 024 / 025, Loss: 0.019967 * Train accuracy / confusion: 97.38% / [[352, 4, 0], [10, 254, 2], [2, 3, 173]], * Val accuracy / confusion: 59.23% / [[158, 51, 21], [49, 90, 36], [27, 28, 60]] ------------------------------ Epoch 1927 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.086800 - Iter 024 / 025, Loss: 0.104223 * Train accuracy / confusion: 97.12% / [[350, 4, 3], [7, 254, 7], [0, 2, 173]], * Val accuracy / confusion: 60.38% / [[158, 35, 37], [51, 99, 25], [27, 31, 57]] ------------------------------ Epoch 1928 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.048268 - Iter 024 / 025, Loss: 0.275207 * Train accuracy / confusion: 97.00% / [[340, 8, 3], [6, 264, 1], [4, 2, 172]], * Val accuracy / confusion: 59.23% / [[154, 54, 22], [49, 103, 23], [33, 31, 51]] ------------------------------ Epoch 1929 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.009478 - Iter 024 / 025, Loss: 0.025862 * Train accuracy / confusion: 98.12% / [[348, 2, 3], [5, 263, 1], [2, 2, 174]], * Val accuracy / confusion: 59.23% / [[155, 49, 26], [45, 98, 32], [32, 28, 55]] ------------------------------ Epoch 1930 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.016078 - Iter 024 / 025, Loss: 0.037399 * Train accuracy / confusion: 97.50% / [[350, 5, 2], [7, 258, 2], [2, 2, 172]], * Val accuracy / confusion: 59.04% / [[157, 45, 28], [54, 97, 24], [27, 35, 53]] ------------------------------ Epoch 1931 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.034109 - Iter 024 / 025, Loss: 0.008349 * Train accuracy / confusion: 97.25% / [[348, 4, 0], [10, 254, 3], [1, 4, 176]], * Val accuracy / confusion: 57.12% / [[155, 45, 30], [58, 92, 25], [29, 36, 50]] ------------------------------ Epoch 1932 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.021083 - Iter 024 / 025, Loss: 0.043518 * Train accuracy / confusion: 98.62% / [[351, 4, 2], [1, 266, 3], [0, 1, 172]], * Val accuracy / confusion: 57.69% / [[147, 59, 24], [44, 97, 34], [28, 31, 56]] ------------------------------ Epoch 1933 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.014403 - Iter 024 / 025, Loss: 0.047691 * Train accuracy / confusion: 98.00% / [[353, 4, 1], [7, 257, 2], [1, 1, 174]], * Val accuracy / confusion: 58.65% / [[153, 51, 26], [50, 100, 25], [24, 39, 52]] ------------------------------ Epoch 1934 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.042130 - Iter 024 / 025, Loss: 0.048020 * Train accuracy / confusion: 98.62% / [[346, 3, 3], [4, 268, 0], [0, 1, 175]], * Val accuracy / confusion: 59.42% / [[157, 48, 25], [54, 97, 24], [27, 33, 55]] ------------------------------ Epoch 1935 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.035683 - Iter 024 / 025, Loss: 0.028966 * Train accuracy / confusion: 97.62% / [[351, 5, 3], [7, 259, 3], [0, 1, 171]], * Val accuracy / confusion: 58.85% / [[160, 42, 28], [46, 97, 32], [28, 38, 49]] ------------------------------ Epoch 1936 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.054363 - Iter 024 / 025, Loss: 0.005567 * Train accuracy / confusion: 96.88% / [[350, 5, 3], [8, 253, 5], [0, 4, 172]], * Val accuracy / confusion: 60.00% / [[160, 48, 22], [52, 101, 22], [25, 39, 51]] ------------------------------ Epoch 1937 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.011318 - Iter 024 / 025, Loss: 0.063610 * Train accuracy / confusion: 98.00% / [[352, 2, 2], [8, 265, 0], [1, 3, 167]], * Val accuracy / confusion: 55.58% / [[152, 54, 24], [57, 83, 35], [27, 34, 54]] ------------------------------ Epoch 1938 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.053268 - Iter 024 / 025, Loss: 0.026741 * Train accuracy / confusion: 97.50% / [[348, 4, 0], [7, 255, 7], [1, 1, 177]], * Val accuracy / confusion: 57.69% / [[149, 57, 24], [48, 98, 29], [25, 37, 53]] ------------------------------ Epoch 1939 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.098714 - Iter 024 / 025, Loss: 0.017326 * Train accuracy / confusion: 98.00% / [[348, 6, 3], [4, 260, 1], [0, 2, 176]], * Val accuracy / confusion: 60.38% / [[157, 43, 30], [50, 99, 26], [25, 32, 58]] ------------------------------ Epoch 1940 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.075780 - Iter 024 / 025, Loss: 0.046164 * Train accuracy / confusion: 97.50% / [[352, 4, 0], [10, 254, 4], [1, 1, 174]], * Val accuracy / confusion: 63.65% / [[165, 39, 26], [46, 105, 24], [23, 31, 61]] ------------------------------ Epoch 1941 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.012994 - Iter 024 / 025, Loss: 0.027594 * Train accuracy / confusion: 97.62% / [[354, 5, 0], [10, 256, 0], [0, 4, 171]], * Val accuracy / confusion: 59.04% / [[157, 42, 31], [53, 94, 28], [28, 31, 56]] ------------------------------ Epoch 1942 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.019779 - Iter 024 / 025, Loss: 0.051494 * Train accuracy / confusion: 98.25% / [[354, 4, 2], [4, 261, 0], [1, 3, 171]], * Val accuracy / confusion: 58.46% / [[156, 40, 34], [44, 93, 38], [31, 29, 55]] ------------------------------ Epoch 1943 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.124396 - Iter 024 / 025, Loss: 0.051472 * Train accuracy / confusion: 97.25% / [[348, 5, 2], [10, 258, 3], [0, 2, 172]], * Val accuracy / confusion: 59.81% / [[159, 45, 26], [48, 96, 31], [25, 34, 56]] ------------------------------ Epoch 1944 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.017211 - Iter 024 / 025, Loss: 0.040841 * Train accuracy / confusion: 99.38% / [[351, 1, 1], [1, 270, 1], [1, 0, 174]], * Val accuracy / confusion: 57.12% / [[149, 55, 26], [47, 96, 32], [24, 39, 52]] ------------------------------ Epoch 1945 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.232324 - Iter 024 / 025, Loss: 0.010539 * Train accuracy / confusion: 98.25% / [[353, 4, 1], [4, 257, 3], [1, 1, 176]], * Val accuracy / confusion: 59.62% / [[159, 44, 27], [42, 102, 31], [29, 37, 49]] ------------------------------ Epoch 1946 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.014494 - Iter 024 / 025, Loss: 0.005573 * Train accuracy / confusion: 97.62% / [[347, 4, 1], [8, 264, 1], [3, 2, 170]], * Val accuracy / confusion: 56.92% / [[147, 51, 32], [43, 100, 32], [22, 44, 49]] ------------------------------ Epoch 1947 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.027179 - Iter 024 / 025, Loss: 0.098357 * Train accuracy / confusion: 97.50% / [[350, 4, 4], [7, 258, 1], [0, 4, 172]], * Val accuracy / confusion: 59.23% / [[153, 56, 21], [43, 104, 28], [23, 41, 51]] ------------------------------ Epoch 1948 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.064288 - Iter 024 / 025, Loss: 0.106032 * Train accuracy / confusion: 97.50% / [[345, 11, 1], [4, 261, 2], [2, 0, 174]], * Val accuracy / confusion: 58.08% / [[151, 50, 29], [51, 94, 30], [24, 34, 57]] ------------------------------ Epoch 1949 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.068874 - Iter 024 / 025, Loss: 0.040357 * Train accuracy / confusion: 97.50% / [[350, 6, 2], [6, 257, 2], [4, 0, 173]], * Val accuracy / confusion: 57.50% / [[149, 48, 33], [50, 92, 33], [30, 27, 58]] ------------------------------ Epoch 1950 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.016429 - Iter 024 / 025, Loss: 0.013172 * Train accuracy / confusion: 98.50% / [[355, 3, 1], [6, 261, 0], [2, 0, 172]], * Val accuracy / confusion: 61.35% / [[160, 48, 22], [50, 98, 27], [23, 31, 61]] ------------------------------ Epoch 1951 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.016734 - Iter 024 / 025, Loss: 0.122900 * Train accuracy / confusion: 98.00% / [[351, 5, 0], [6, 261, 3], [1, 1, 172]], * Val accuracy / confusion: 58.85% / [[157, 45, 28], [50, 92, 33], [27, 31, 57]] ------------------------------ Epoch 1952 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.054275 - Iter 024 / 025, Loss: 0.060476 * Train accuracy / confusion: 98.12% / [[350, 3, 1], [7, 261, 0], [3, 1, 174]], * Val accuracy / confusion: 59.23% / [[154, 51, 25], [47, 100, 28], [28, 33, 54]] ------------------------------ Epoch 1953 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.076447 - Iter 024 / 025, Loss: 0.066735 * Train accuracy / confusion: 96.38% / [[351, 4, 3], [5, 258, 6], [4, 7, 162]], * Val accuracy / confusion: 60.58% / [[156, 40, 34], [44, 103, 28], [33, 26, 56]] ------------------------------ Epoch 1954 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.076914 - Iter 024 / 025, Loss: 0.121488 * Train accuracy / confusion: 97.25% / [[352, 6, 3], [4, 256, 3], [3, 3, 170]], * Val accuracy / confusion: 60.96% / [[164, 43, 23], [44, 97, 34], [26, 33, 56]] ------------------------------ Epoch 1955 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.073399 - Iter 024 / 025, Loss: 0.097640 * Train accuracy / confusion: 98.00% / [[345, 7, 1], [4, 262, 1], [2, 1, 177]], * Val accuracy / confusion: 57.88% / [[158, 48, 24], [52, 91, 32], [28, 35, 52]] ------------------------------ Epoch 1956 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.171414 - Iter 024 / 025, Loss: 0.041464 * Train accuracy / confusion: 98.25% / [[354, 2, 1], [6, 260, 1], [2, 2, 172]], * Val accuracy / confusion: 59.62% / [[158, 39, 33], [53, 96, 26], [28, 31, 56]] ------------------------------ Epoch 1957 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.010838 - Iter 024 / 025, Loss: 0.032786 * Train accuracy / confusion: 97.88% / [[352, 9, 0], [6, 256, 1], [0, 1, 175]], * Val accuracy / confusion: 58.65% / [[157, 43, 30], [58, 92, 25], [26, 33, 56]] ------------------------------ Epoch 1958 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.027445 - Iter 024 / 025, Loss: 0.009353 * Train accuracy / confusion: 98.12% / [[353, 5, 0], [5, 258, 2], [0, 3, 174]], * Val accuracy / confusion: 60.19% / [[156, 57, 17], [46, 103, 26], [23, 38, 54]] ------------------------------ Epoch 1959 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.188568 - Iter 024 / 025, Loss: 0.074039 * Train accuracy / confusion: 97.00% / [[347, 7, 2], [7, 257, 3], [0, 5, 172]], * Val accuracy / confusion: 57.88% / [[157, 47, 26], [59, 89, 27], [29, 31, 55]] ------------------------------ Epoch 1960 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.129928 - Iter 024 / 025, Loss: 0.089354 * Train accuracy / confusion: 98.25% / [[342, 6, 4], [2, 267, 0], [1, 1, 177]], * Val accuracy / confusion: 58.85% / [[160, 49, 21], [56, 93, 26], [26, 36, 53]] ------------------------------ Epoch 1961 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.015269 - Iter 024 / 025, Loss: 0.053138 * Train accuracy / confusion: 98.50% / [[347, 7, 2], [3, 265, 0], [0, 0, 176]], * Val accuracy / confusion: 59.62% / [[155, 52, 23], [45, 96, 34], [29, 27, 59]] ------------------------------ Epoch 1962 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.016446 - Iter 024 / 025, Loss: 0.055835 * Train accuracy / confusion: 98.12% / [[353, 1, 1], [5, 260, 5], [0, 3, 172]], * Val accuracy / confusion: 59.42% / [[153, 45, 32], [48, 94, 33], [25, 28, 62]] ------------------------------ Epoch 1963 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.094553 - Iter 024 / 025, Loss: 0.020836 * Train accuracy / confusion: 97.25% / [[345, 7, 1], [8, 257, 3], [1, 2, 176]], * Val accuracy / confusion: 58.65% / [[153, 48, 29], [44, 101, 30], [27, 37, 51]] ------------------------------ Epoch 1964 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.080898 - Iter 024 / 025, Loss: 0.029279 * Train accuracy / confusion: 97.62% / [[350, 7, 1], [6, 259, 1], [2, 2, 172]], * Val accuracy / confusion: 58.46% / [[155, 46, 29], [49, 91, 35], [29, 28, 58]] ------------------------------ Epoch 1965 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.100943 - Iter 024 / 025, Loss: 0.191785 * Train accuracy / confusion: 97.62% / [[348, 4, 1], [8, 262, 2], [3, 1, 171]], * Val accuracy / confusion: 55.96% / [[145, 49, 36], [45, 95, 35], [24, 40, 51]] ------------------------------ Epoch 1966 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.069311 - Iter 024 / 025, Loss: 0.025156 * Train accuracy / confusion: 98.38% / [[347, 2, 1], [6, 264, 2], [1, 1, 176]], * Val accuracy / confusion: 60.58% / [[163, 50, 17], [54, 90, 31], [21, 32, 62]] ------------------------------ Epoch 1967 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.038625 - Iter 024 / 025, Loss: 0.087683 * Train accuracy / confusion: 97.88% / [[350, 5, 3], [4, 259, 2], [0, 3, 174]], * Val accuracy / confusion: 54.23% / [[149, 50, 31], [58, 84, 33], [33, 33, 49]] ------------------------------ Epoch 1968 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.034951 - Iter 024 / 025, Loss: 0.069641 * Train accuracy / confusion: 99.12% / [[350, 2, 1], [3, 268, 0], [0, 1, 175]], * Val accuracy / confusion: 60.38% / [[162, 42, 26], [46, 102, 27], [31, 34, 50]] ------------------------------ Epoch 1969 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.052381 - Iter 024 / 025, Loss: 0.145875 * Train accuracy / confusion: 97.50% / [[346, 9, 1], [6, 259, 2], [2, 0, 175]], * Val accuracy / confusion: 59.42% / [[154, 52, 24], [51, 99, 25], [25, 34, 56]] ------------------------------ Epoch 1970 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.011078 - Iter 024 / 025, Loss: 0.048861 * Train accuracy / confusion: 98.38% / [[349, 7, 1], [2, 265, 1], [0, 2, 173]], * Val accuracy / confusion: 59.62% / [[146, 57, 27], [36, 103, 36], [23, 31, 61]] ------------------------------ Epoch 1971 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.153480 - Iter 024 / 025, Loss: 0.115462 * Train accuracy / confusion: 98.38% / [[354, 2, 1], [4, 259, 2], [0, 4, 174]], * Val accuracy / confusion: 56.92% / [[149, 50, 31], [54, 90, 31], [22, 36, 57]] ------------------------------ Epoch 1972 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.093538 - Iter 024 / 025, Loss: 0.061031 * Train accuracy / confusion: 98.88% / [[346, 3, 1], [3, 267, 0], [1, 1, 178]], * Val accuracy / confusion: 59.04% / [[161, 45, 24], [47, 94, 34], [30, 33, 52]] ------------------------------ Epoch 1973 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.012916 - Iter 024 / 025, Loss: 0.120970 * Train accuracy / confusion: 97.88% / [[355, 1, 1], [7, 258, 3], [4, 1, 170]], * Val accuracy / confusion: 58.65% / [[160, 45, 25], [54, 94, 27], [28, 36, 51]] ------------------------------ Epoch 1974 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.020336 - Iter 024 / 025, Loss: 0.019204 * Train accuracy / confusion: 98.50% / [[352, 3, 1], [5, 262, 0], [2, 1, 174]], * Val accuracy / confusion: 58.27% / [[150, 61, 19], [43, 98, 34], [23, 37, 55]] ------------------------------ Epoch 1975 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.118683 - Iter 024 / 025, Loss: 0.034352 * Train accuracy / confusion: 97.88% / [[352, 6, 1], [4, 259, 3], [1, 2, 172]], * Val accuracy / confusion: 58.46% / [[149, 45, 36], [41, 100, 34], [22, 38, 55]] ------------------------------ Epoch 1976 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.025511 - Iter 024 / 025, Loss: 0.110997 * Train accuracy / confusion: 97.12% / [[347, 7, 3], [8, 261, 2], [2, 1, 169]], * Val accuracy / confusion: 57.50% / [[150, 54, 26], [51, 94, 30], [25, 35, 55]] ------------------------------ Epoch 1977 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.221338 - Iter 024 / 025, Loss: 0.073216 * Train accuracy / confusion: 98.00% / [[350, 3, 2], [6, 257, 4], [0, 1, 177]], * Val accuracy / confusion: 58.85% / [[159, 45, 26], [54, 89, 32], [25, 32, 58]] ------------------------------ Epoch 1978 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.022368 - Iter 024 / 025, Loss: 0.032818 * Train accuracy / confusion: 97.38% / [[348, 4, 3], [8, 255, 2], [3, 1, 176]], * Val accuracy / confusion: 59.23% / [[156, 44, 30], [47, 101, 27], [27, 37, 51]] ------------------------------ Epoch 1979 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.028309 - Iter 024 / 025, Loss: 0.092273 * Train accuracy / confusion: 97.75% / [[345, 6, 3], [6, 262, 1], [1, 1, 175]], * Val accuracy / confusion: 60.00% / [[159, 44, 27], [43, 93, 39], [22, 33, 60]] ------------------------------ Epoch 1980 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.026380 - Iter 024 / 025, Loss: 0.030720 * Train accuracy / confusion: 98.12% / [[351, 4, 3], [4, 259, 3], [0, 1, 175]], * Val accuracy / confusion: 58.46% / [[156, 48, 26], [51, 93, 31], [25, 35, 55]] ------------------------------ Epoch 1981 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.051327 - Iter 024 / 025, Loss: 0.234808 * Train accuracy / confusion: 97.00% / [[348, 5, 1], [10, 258, 3], [2, 3, 170]], * Val accuracy / confusion: 60.00% / [[159, 49, 22], [53, 97, 25], [27, 32, 56]] ------------------------------ Epoch 1982 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.010359 - Iter 024 / 025, Loss: 0.003296 * Train accuracy / confusion: 98.00% / [[352, 7, 0], [5, 262, 2], [1, 1, 170]], * Val accuracy / confusion: 59.04% / [[156, 46, 28], [43, 94, 38], [28, 30, 57]] ------------------------------ Epoch 1983 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.030919 - Iter 024 / 025, Loss: 0.021761 * Train accuracy / confusion: 98.50% / [[354, 5, 0], [4, 260, 0], [0, 3, 174]], * Val accuracy / confusion: 60.38% / [[158, 51, 21], [44, 103, 28], [31, 31, 53]] ------------------------------ Epoch 1984 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.025774 - Iter 024 / 025, Loss: 0.020412 * Train accuracy / confusion: 97.88% / [[349, 5, 1], [4, 266, 0], [1, 6, 168]], * Val accuracy / confusion: 57.88% / [[159, 45, 26], [54, 86, 35], [25, 34, 56]] ------------------------------ Epoch 1985 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.071716 - Iter 024 / 025, Loss: 0.048775 * Train accuracy / confusion: 97.62% / [[348, 6, 4], [3, 261, 3], [2, 1, 172]], * Val accuracy / confusion: 57.50% / [[146, 51, 33], [45, 98, 32], [25, 35, 55]] ------------------------------ Epoch 1986 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.012503 - Iter 024 / 025, Loss: 0.008091 * Train accuracy / confusion: 97.88% / [[346, 8, 1], [1, 264, 5], [1, 1, 173]], * Val accuracy / confusion: 58.65% / [[154, 50, 26], [51, 96, 28], [19, 41, 55]] ------------------------------ Epoch 1987 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.017848 - Iter 024 / 025, Loss: 0.209461 * Train accuracy / confusion: 98.25% / [[353, 1, 2], [8, 261, 0], [1, 2, 172]], * Val accuracy / confusion: 60.77% / [[160, 43, 27], [48, 93, 34], [25, 27, 63]] ------------------------------ Epoch 1988 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.044058 - Iter 024 / 025, Loss: 0.077350 * Train accuracy / confusion: 97.50% / [[348, 6, 2], [7, 257, 3], [0, 2, 175]], * Val accuracy / confusion: 59.23% / [[159, 46, 25], [50, 91, 34], [30, 27, 58]] ------------------------------ Epoch 1989 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.076956 - Iter 024 / 025, Loss: 0.021788 * Train accuracy / confusion: 98.25% / [[350, 3, 1], [5, 263, 2], [2, 1, 173]], * Val accuracy / confusion: 57.50% / [[157, 51, 22], [56, 92, 27], [29, 36, 50]] ------------------------------ Epoch 1990 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.015240 - Iter 024 / 025, Loss: 0.326881 * Train accuracy / confusion: 98.00% / [[353, 5, 0], [6, 263, 0], [1, 4, 168]], * Val accuracy / confusion: 55.58% / [[147, 48, 35], [55, 89, 31], [31, 31, 53]] ------------------------------ Epoch 1991 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.168439 - Iter 024 / 025, Loss: 0.014060 * Train accuracy / confusion: 98.88% / [[358, 2, 0], [3, 261, 1], [2, 1, 172]], * Val accuracy / confusion: 57.50% / [[152, 48, 30], [54, 96, 25], [21, 43, 51]] ------------------------------ Epoch 1992 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.013180 - Iter 024 / 025, Loss: 0.022706 * Train accuracy / confusion: 98.88% / [[354, 4, 0], [2, 265, 1], [0, 2, 172]], * Val accuracy / confusion: 60.77% / [[154, 45, 31], [41, 104, 30], [20, 37, 58]] ------------------------------ Epoch 1993 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.070046 - Iter 024 / 025, Loss: 0.048803 * Train accuracy / confusion: 97.25% / [[348, 4, 1], [12, 257, 2], [0, 3, 173]], * Val accuracy / confusion: 58.27% / [[158, 49, 23], [47, 95, 33], [27, 38, 50]] ------------------------------ Epoch 1994 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.023340 - Iter 024 / 025, Loss: 0.241244 * Train accuracy / confusion: 97.62% / [[348, 5, 3], [8, 265, 0], [3, 0, 168]], * Val accuracy / confusion: 55.96% / [[155, 50, 25], [55, 84, 36], [30, 33, 52]] ------------------------------ Epoch 1995 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.024807 - Iter 024 / 025, Loss: 0.232456 * Train accuracy / confusion: 95.88% / [[339, 9, 2], [6, 265, 2], [5, 9, 163]], * Val accuracy / confusion: 57.12% / [[158, 49, 23], [56, 89, 30], [33, 32, 50]] ------------------------------ Epoch 1996 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.099031 - Iter 024 / 025, Loss: 0.022775 * Train accuracy / confusion: 98.25% / [[352, 4, 1], [6, 261, 1], [1, 1, 173]], * Val accuracy / confusion: 60.00% / [[153, 50, 27], [40, 105, 30], [29, 32, 54]] ------------------------------ Epoch 1997 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.026621 - Iter 024 / 025, Loss: 0.032922 * Train accuracy / confusion: 98.25% / [[352, 5, 1], [5, 263, 0], [1, 2, 171]], * Val accuracy / confusion: 57.69% / [[151, 49, 30], [49, 88, 38], [29, 25, 61]] ------------------------------ Epoch 1998 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.016084 - Iter 024 / 025, Loss: 0.092030 * Train accuracy / confusion: 97.75% / [[354, 8, 0], [5, 255, 2], [1, 2, 173]], * Val accuracy / confusion: 56.35% / [[150, 53, 27], [60, 88, 27], [28, 32, 55]] ------------------------------ Epoch 1999 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.037311 - Iter 024 / 025, Loss: 0.022778 * Train accuracy / confusion: 98.12% / [[352, 2, 2], [5, 262, 1], [2, 3, 171]], * Val accuracy / confusion: 59.04% / [[156, 50, 24], [44, 97, 34], [30, 31, 54]] ------------------------------ Epoch 2000 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.095857 - Iter 024 / 025, Loss: 0.040392 * Train accuracy / confusion: 97.88% / [[351, 4, 3], [6, 264, 2], [1, 1, 168]], * Val accuracy / confusion: 59.23% / [[161, 48, 21], [51, 95, 29], [25, 38, 52]] **************************************** Training Ends ****************************************
- Test accuracy (last model): 60.51% - Confusion matrix (last model): [[1052 323 35] [ 248 474 298] [ 135 193 362]]
- Test accuracy (best model): 61.38% - Confusion matrix (best model): [[1082 303 25] [ 242 482 296] [ 154 185 351]]
# checkpoint save path
if save_checkpoint:
os.makedirs('checkpoint/', exist_ok=True)
today = datetime.date.today()
torch.save(best_model_state, f'checkpoint/{today.year % 100}{today.month:02d}{today.day}_{nb_fname}_M5_best')
torch.save(last_model_state, f'checkpoint/{today.year % 100}{today.month:02d}{today.day}_{nb_fname}_M5_last')
print('- Debug table:')
pprint.pp(last_test_debug, indent=2, width=100)
- Debug table:
{ '00299': {'GT': 0, 'Acc': ' 46.67%', 'Pred': [14, 12, 4], 'edfname': '00671212_160819'},
'00854': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01138301_230114'},
'01026': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01225123_050815'},
'00176': {'GT': 0, 'Acc': ' 83.33%', 'Pred': [25, 3, 2], 'edfname': '00602435_270217'},
'00591': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '00896386_240914'},
'01069': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01243158_301115'},
'00414': {'GT': 2, 'Acc': ' 3.33%', 'Pred': [10, 19, 1], 'edfname': '00743464_220316'},
'01184': {'GT': 2, 'Acc': ' 6.67%', 'Pred': [16, 12, 2], 'edfname': '01303263_281116'},
'01250': {'GT': 1, 'Acc': ' 56.67%', 'Pred': [12, 17, 1], 'edfname': '01342444_141118'},
'00516': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 1, 0], 'edfname': '00823206_130514'},
'01039': {'GT': 1, 'Acc': ' 96.67%', 'Pred': [1, 29, 0], 'edfname': '01235034_290120'},
'01071': {'GT': 2, 'Acc': ' 96.67%', 'Pred': [1, 0, 29], 'edfname': '01246499_301115'},
'00022': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [16, 0, 14], 'edfname': '00158517_110116'},
'00913': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01151967_160414'},
'00820': {'GT': 1, 'Acc': ' 20.00%', 'Pred': [9, 6, 15], 'edfname': '01127836_221116'},
'00122': {'GT': 0, 'Acc': ' 80.00%', 'Pred': [24, 6, 0], 'edfname': '00416942_190516'},
'00439': {'GT': 0, 'Acc': ' 73.33%', 'Pred': [22, 8, 0], 'edfname': '00760780_141118'},
'00860': {'GT': 2, 'Acc': ' 96.67%', 'Pred': [0, 1, 29], 'edfname': '01139924_140717'},
'01180': {'GT': 2, 'Acc': '100.00%', 'Pred': [0, 0, 30], 'edfname': '01301982_230118'},
'01349': {'GT': 1, 'Acc': ' 40.00%', 'Pred': [2, 12, 16], 'edfname': '01408549_031218'},
'01105': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01266696_110516'},
'00671': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 1, 0], 'edfname': '00958455_200917'},
'00531': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '00840844_250119'},
'00192': {'GT': 0, 'Acc': ' 90.00%', 'Pred': [27, 3, 0], 'edfname': '00608961_131118'},
'00680': {'GT': 1, 'Acc': '100.00%', 'Pred': [0, 30, 0], 'edfname': '00963680_280519'},
'01156': {'GT': 1, 'Acc': '100.00%', 'Pred': [0, 30, 0], 'edfname': '01293646_120719'},
'00417': {'GT': 2, 'Acc': ' 40.00%', 'Pred': [10, 8, 12], 'edfname': '00745209_041018'},
'00736': {'GT': 2, 'Acc': ' 86.67%', 'Pred': [3, 1, 26], 'edfname': '01019016_241115'},
'00949': {'GT': 1, 'Acc': ' 3.33%', 'Pred': [2, 1, 27], 'edfname': '01174162_090817'},
'01172': {'GT': 1, 'Acc': ' 6.67%', 'Pred': [0, 2, 28], 'edfname': '01298381_281016'},
'01307': {'GT': 0, 'Acc': ' 6.67%', 'Pred': [2, 25, 3], 'edfname': '01376302_060718'},
'00058': {'GT': 0, 'Acc': ' 56.67%', 'Pred': [17, 11, 2], 'edfname': '00285244_020414'},
'00124': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 0, 1], 'edfname': '00418981_060116'},
'00508': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '00817022_010415'},
'00415': {'GT': 1, 'Acc': ' 56.67%', 'Pred': [11, 17, 2], 'edfname': '00744497_260517'},
'00408': {'GT': 0, 'Acc': ' 63.33%', 'Pred': [19, 9, 2], 'edfname': '00740750_110315'},
'00385': {'GT': 0, 'Acc': ' 76.67%', 'Pred': [23, 6, 1], 'edfname': '00723232_270318'},
'01125': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01276737_300616'},
'01330': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01392885_240718'},
'00329': {'GT': 0, 'Acc': ' 20.00%', 'Pred': [6, 23, 1], 'edfname': '00685248_150414'},
'00649': {'GT': 2, 'Acc': ' 0.00%', 'Pred': [8, 22, 0], 'edfname': '00951066_131217'},
'00900': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01147100'},
'00062': {'GT': 1, 'Acc': ' 93.33%', 'Pred': [0, 28, 2], 'edfname': '00287432_110518'},
'00405': {'GT': 2, 'Acc': ' 56.67%', 'Pred': [2, 11, 17], 'edfname': '00739864_070717'},
'01066': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 1, 0], 'edfname': '01242983_071215'},
'00938': {'GT': 0, 'Acc': ' 0.00%', 'Pred': [0, 30, 0], 'edfname': '01161826_050916'},
'00881': {'GT': 0, 'Acc': ' 83.33%', 'Pred': [25, 5, 0], 'edfname': '01141790_190214'},
'00096': {'GT': 0, 'Acc': ' 50.00%', 'Pred': [15, 11, 4], 'edfname': '00369252_131216'},
'01165': {'GT': 0, 'Acc': ' 10.00%', 'Pred': [3, 27, 0], 'edfname': '01296533_281116'},
'00697': {'GT': 0, 'Acc': ' 0.00%', 'Pred': [0, 28, 2], 'edfname': '00983533_290618'},
'01037': {'GT': 1, 'Acc': ' 36.67%', 'Pred': [0, 11, 19], 'edfname': '01235034_120220'},
'00599': {'GT': 1, 'Acc': '100.00%', 'Pred': [0, 30, 0], 'edfname': '00901507_051018'},
'00798': {'GT': 2, 'Acc': '100.00%', 'Pred': [0, 0, 30], 'edfname': '01094597_300318'},
'00917': {'GT': 0, 'Acc': ' 73.33%', 'Pred': [22, 8, 0], 'edfname': '01154159_230414'},
'00828': {'GT': 2, 'Acc': ' 46.67%', 'Pred': [15, 1, 14], 'edfname': '01131959_310118'},
'00226': {'GT': 2, 'Acc': ' 73.33%', 'Pred': [0, 8, 22], 'edfname': '00626957_040417'},
'00280': {'GT': 2, 'Acc': ' 96.67%', 'Pred': [0, 1, 29], 'edfname': '00658017_180917'},
'00623': {'GT': 2, 'Acc': ' 86.67%', 'Pred': [0, 4, 26], 'edfname': '00926040_121219'},
'01203': {'GT': 2, 'Acc': ' 0.00%', 'Pred': [27, 3, 0], 'edfname': '01312293_120417'},
'00793': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01086373_020615'},
'00447': {'GT': 1, 'Acc': ' 70.00%', 'Pred': [3, 21, 6], 'edfname': '00764842_070514'},
'00125': {'GT': 0, 'Acc': ' 36.67%', 'Pred': [11, 17, 2], 'edfname': '00418981_090316'},
'00698': {'GT': 1, 'Acc': ' 96.67%', 'Pred': [0, 29, 1], 'edfname': '00984999_021117'},
'00756': {'GT': 1, 'Acc': ' 10.00%', 'Pred': [26, 3, 1], 'edfname': '01035162_180119'},
'00498': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [28, 0, 2], 'edfname': '00809366_050116'},
'00243': {'GT': 1, 'Acc': ' 80.00%', 'Pred': [6, 24, 0], 'edfname': '00635487_161019'},
'00004': {'GT': 2, 'Acc': '100.00%', 'Pred': [0, 0, 30], 'edfname': '00048377_070819'},
'01364': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [0, 0, 30], 'edfname': '01418070_200819'},
'00603': {'GT': 2, 'Acc': ' 20.00%', 'Pred': [0, 24, 6], 'edfname': '00906868_071216'},
'00174': {'GT': 2, 'Acc': ' 0.00%', 'Pred': [6, 24, 0], 'edfname': '00601765_231118'},
'00301': {'GT': 1, 'Acc': ' 60.00%', 'Pred': [1, 18, 11], 'edfname': '00671744_060418'},
'00885': {'GT': 0, 'Acc': ' 30.00%', 'Pred': [9, 21, 0], 'edfname': '01142810_180214'},
'00289': {'GT': 2, 'Acc': ' 36.67%', 'Pred': [13, 6, 11], 'edfname': '00665084_280219'},
'01138': {'GT': 0, 'Acc': ' 90.00%', 'Pred': [27, 3, 0], 'edfname': '01281605_070716'},
'00821': {'GT': 0, 'Acc': ' 76.67%', 'Pred': [23, 7, 0], 'edfname': '01128393_300715'},
'00870': {'GT': 0, 'Acc': ' 93.33%', 'Pred': [28, 1, 1], 'edfname': '01139947_120214'},
'01215': {'GT': 0, 'Acc': ' 73.33%', 'Pred': [22, 8, 0], 'edfname': '01321744_130417'},
'00389': {'GT': 1, 'Acc': ' 93.33%', 'Pred': [2, 28, 0], 'edfname': '00727364_231118'},
'00635': {'GT': 2, 'Acc': ' 16.67%', 'Pred': [0, 25, 5], 'edfname': '00939852_140214'},
'00923': {'GT': 0, 'Acc': ' 16.67%', 'Pred': [5, 25, 0], 'edfname': '01155730_070514'},
'00815': {'GT': 0, 'Acc': ' 70.00%', 'Pred': [21, 4, 5], 'edfname': '01125477_030918'},
'00302': {'GT': 1, 'Acc': ' 10.00%', 'Pred': [0, 3, 27], 'edfname': '00671744_060718'},
'01148': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [2, 0, 28], 'edfname': '01286604_220218'},
'01295': {'GT': 2, 'Acc': ' 13.33%', 'Pred': [23, 3, 4], 'edfname': '01367495_310118'},
'00220': {'GT': 1, 'Acc': ' 10.00%', 'Pred': [24, 3, 3], 'edfname': '00621729_020616'},
'01240': {'GT': 1, 'Acc': ' 70.00%', 'Pred': [8, 21, 1], 'edfname': '01338642_081119'},
'00005': {'GT': 2, 'Acc': ' 30.00%', 'Pred': [1, 20, 9], 'edfname': '00048377_070916'},
'00504': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 1, 0], 'edfname': '00813343_041218'},
'01045': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01235281_191015'},
'01038': {'GT': 1, 'Acc': ' 10.00%', 'Pred': [3, 3, 24], 'edfname': '01235034_260220'},
'01014': {'GT': 1, 'Acc': ' 3.33%', 'Pred': [29, 1, 0], 'edfname': '01215115_270715'},
'00741': {'GT': 0, 'Acc': ' 83.33%', 'Pred': [25, 0, 5], 'edfname': '01025734_280715'},
'00767': {'GT': 1, 'Acc': '100.00%', 'Pred': [0, 30, 0], 'edfname': '01055291_230517'},
'00305': {'GT': 1, 'Acc': ' 66.67%', 'Pred': [1, 20, 9], 'edfname': '00673505_020419'},
'00851': {'GT': 0, 'Acc': ' 60.00%', 'Pred': [18, 12, 0], 'edfname': '01138297_230114'},
'00730': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 1, 0], 'edfname': '01011922_270815'},
'00407': {'GT': 1, 'Acc': ' 3.33%', 'Pred': [28, 1, 1], 'edfname': '00740694_110315'},
'01305': {'GT': 1, 'Acc': ' 96.67%', 'Pred': [0, 29, 1], 'edfname': '01372947_240518'},
'01080': {'GT': 2, 'Acc': '100.00%', 'Pred': [0, 0, 30], 'edfname': '01252335_211016'},
'01007': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 1, 0], 'edfname': '01211467_070415'},
'00455': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [1, 0, 29], 'edfname': '00771910_121016'},
'00588': {'GT': 0, 'Acc': ' 86.67%', 'Pred': [26, 4, 0], 'edfname': '00895530_090616'},
'01268': {'GT': 1, 'Acc': ' 90.00%', 'Pred': [3, 27, 0], 'edfname': '01351393_231019'},
'01079': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [30, 0, 0], 'edfname': '01251650_191219'}}
class BasicResBlock(nn.Module):
expansion: int = 1
def __init__(self, c_in, c_out, kernel_size, stride) -> None:
super().__init__()
self.conv1 = nn.Conv1d(in_channels=c_in, out_channels=c_out,
kernel_size=kernel_size, stride=stride,
padding=kernel_size//2, bias=False)
self.bn1 = nn.BatchNorm1d(c_out)
self.conv2 = nn.Conv1d(in_channels=c_out, out_channels=c_out,
kernel_size=kernel_size, stride=1,
padding=kernel_size//2, bias=False)
self.bn2 = nn.BatchNorm1d(c_out)
self.relu = nn.ReLU(inplace=True)
self.downsample = None
if stride != 1 or c_in != c_out:
self.downsample = nn.Sequential(
nn.Conv1d(in_channels=c_in, out_channels=c_out,
kernel_size=1, stride=stride, bias=False),
nn.BatchNorm1d(c_out)
)
def forward(self, x: torch.Tensor) -> torch.Tensor:
identity = x
x = self.conv1(x)
x = self.bn1(x)
x = self.relu(x)
x = self.conv2(x)
x = self.bn2(x)
if self.downsample is not None:
identity = self.downsample(identity)
x = self.relu(x + identity)
return x
class BottleneckBlock(nn.Module):
expansion: int = 4
def __init__(self, c_in, c_out, kernel_size, stride) -> None:
super().__init__()
width = c_out
self.conv1 = nn.Conv1d(in_channels=c_in, out_channels=width,
kernel_size=1, stride=1, bias=False)
self.bn1 = nn.BatchNorm1d(width)
self.conv2 = nn.Conv1d(in_channels=width, out_channels=width,
kernel_size=kernel_size, stride=stride,
padding=kernel_size//2, bias=False)
self.bn2 = nn.BatchNorm1d(width)
self.conv3 = nn.Conv1d(in_channels=width, out_channels=c_out*self.expansion,
kernel_size=1, stride=1, bias=False)
self.bn3 = nn.BatchNorm1d(c_out*self.expansion)
self.relu = nn.ReLU(inplace=True)
self.downsample = None
if stride != 1 or c_in != c_out*self.expansion:
self.downsample = nn.Sequential(
nn.Conv1d(in_channels=c_in, out_channels=c_out*self.expansion,
kernel_size=1, stride=stride, bias=False),
nn.BatchNorm1d(c_out*self.expansion)
)
def forward(self, x: torch.Tensor) -> torch.Tensor:
identity = x
x = self.conv1(x)
x = self.bn1(x)
x = self.relu(x)
x = self.conv2(x)
x = self.bn2(x)
x = self.relu(x)
x = self.conv3(x)
x = self.bn3(x)
if self.downsample is not None:
identity = self.downsample(identity)
x = self.relu(x + identity)
return x
class ResNet(nn.Module):
def __init__(self,
block: Type[Union[BasicResBlock, BottleneckBlock]],
conv_layers: List[int],
n_fc: int,
n_input=20,
n_output=3,
n_start=64,
kernel_size=9,
use_age=True,
final_pool='average') -> None:
super().__init__()
if final_pool not in {'average', 'max'}:
raise ValueError("final_pool must be set to one of ['average', 'max']")
self.c_current = n_start
self.use_age = use_age
self.input_stage = nn.Sequential(
nn.Conv1d(in_channels=n_input, out_channels=n_start,
kernel_size=kernel_size*3, stride=2,
padding=(kernel_size*3)//2, bias=False),
nn.BatchNorm1d(n_start),
nn.ReLU(),
)
self.conv_stage1 = self._make_conv_layer(block, conv_layers[0], n_start, kernel_size, stride=3)
self.conv_stage2 = self._make_conv_layer(block, conv_layers[1], n_start*2, kernel_size, stride=3)
self.conv_stage3 = self._make_conv_layer(block, conv_layers[2], n_start*4, kernel_size, stride=3)
self.conv_stage4 = self._make_conv_layer(block, conv_layers[3], n_start*8, kernel_size, stride=3)
if final_pool == 'average':
self.final_pool = nn.AdaptiveAvgPool1d(1)
elif final_pool == 'max':
self.final_pool = nn.AdaptiveMaxPool1d(1)
fc_layers = []
if self.use_age:
self.c_current = self.c_current + 1
for l in range(n_fc):
layer = nn.Sequential(nn.Linear(self.c_current, self.c_current // 2, bias=False),
nn.Dropout(p=0.1),
nn.BatchNorm1d(self.c_current // 2),
nn.ReLU())
self.c_current = self.c_current // 2
fc_layers.append(layer)
fc_layers.append(nn.Linear(self.c_current, n_output))
self.fc_stage = nn.Sequential(*fc_layers)
def reset_weights(self):
for m in self.modules():
if hasattr(m, 'reset_parameters'):
m.reset_parameters()
def _make_conv_layer(self, block: Type[Union[BasicResBlock, BottleneckBlock]],
n_block: int, c_out: int, kernel_size: int, stride: int = 1) -> nn.Sequential:
layers = []
c_in = self.c_current
layers.append(block(c_in, c_out, kernel_size, stride=1))
c_in = c_out * block.expansion
self.c_current = c_in
for _ in range(1, n_block):
layers.append(block(c_in, c_out, kernel_size, stride=1))
layers.append(nn.MaxPool1d(kernel_size=stride))
return nn.Sequential(*layers)
def forward(self, x, age, print_shape=False):
x = self.input_stage(x)
x = self.conv_stage1(x)
x = self.conv_stage2(x)
x = self.conv_stage3(x)
x = self.conv_stage4(x)
if print_shape:
print('Shape right before squeezing:', x.shape)
x = self.final_pool(x).squeeze()
if self.use_age:
x = torch.cat((x, age.reshape(-1, 1)), dim=1)
x = self.fc_stage(x)
return x
# return F.log_softmax(x, dim=2)
model = ResNet(block=BottleneckBlock,
conv_layers=[2, 2, 2, 2],
n_fc=3,
n_input=train_dataset[0]['signal'].shape[0],
n_output=3,
n_start=64,
kernel_size=9,
use_age=True,
final_pool='max')
model = model.to(device, dtype=torch.float32)
print(model)
print()
# tensorboard visualization
visualize_network_tensorboard(model, 'ResNet-like')
# number of parameters
n = count_parameters(model)
print(f'The Number of parameters of the model: {n:,}')
ResNet(
(input_stage): Sequential(
(0): Conv1d(20, 64, kernel_size=(27,), stride=(2,), padding=(13,), bias=False)
(1): BatchNorm1d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
)
(conv_stage1): Sequential(
(0): BottleneckBlock(
(conv1): Conv1d(64, 64, kernel_size=(1,), stride=(1,), bias=False)
(bn1): BatchNorm1d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv1d(64, 64, kernel_size=(9,), stride=(1,), padding=(4,), bias=False)
(bn2): BatchNorm1d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv1d(64, 256, kernel_size=(1,), stride=(1,), bias=False)
(bn3): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
(downsample): Sequential(
(0): Conv1d(64, 256, kernel_size=(1,), stride=(1,), bias=False)
(1): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
)
(1): BottleneckBlock(
(conv1): Conv1d(256, 64, kernel_size=(1,), stride=(1,), bias=False)
(bn1): BatchNorm1d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv1d(64, 64, kernel_size=(9,), stride=(1,), padding=(4,), bias=False)
(bn2): BatchNorm1d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv1d(64, 256, kernel_size=(1,), stride=(1,), bias=False)
(bn3): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
(2): MaxPool1d(kernel_size=3, stride=3, padding=0, dilation=1, ceil_mode=False)
)
(conv_stage2): Sequential(
(0): BottleneckBlock(
(conv1): Conv1d(256, 128, kernel_size=(1,), stride=(1,), bias=False)
(bn1): BatchNorm1d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv1d(128, 128, kernel_size=(9,), stride=(1,), padding=(4,), bias=False)
(bn2): BatchNorm1d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv1d(128, 512, kernel_size=(1,), stride=(1,), bias=False)
(bn3): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
(downsample): Sequential(
(0): Conv1d(256, 512, kernel_size=(1,), stride=(1,), bias=False)
(1): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
)
(1): BottleneckBlock(
(conv1): Conv1d(512, 128, kernel_size=(1,), stride=(1,), bias=False)
(bn1): BatchNorm1d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv1d(128, 128, kernel_size=(9,), stride=(1,), padding=(4,), bias=False)
(bn2): BatchNorm1d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv1d(128, 512, kernel_size=(1,), stride=(1,), bias=False)
(bn3): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
(2): MaxPool1d(kernel_size=3, stride=3, padding=0, dilation=1, ceil_mode=False)
)
(conv_stage3): Sequential(
(0): BottleneckBlock(
(conv1): Conv1d(512, 256, kernel_size=(1,), stride=(1,), bias=False)
(bn1): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv1d(256, 256, kernel_size=(9,), stride=(1,), padding=(4,), bias=False)
(bn2): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv1d(256, 1024, kernel_size=(1,), stride=(1,), bias=False)
(bn3): BatchNorm1d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
(downsample): Sequential(
(0): Conv1d(512, 1024, kernel_size=(1,), stride=(1,), bias=False)
(1): BatchNorm1d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
)
(1): BottleneckBlock(
(conv1): Conv1d(1024, 256, kernel_size=(1,), stride=(1,), bias=False)
(bn1): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv1d(256, 256, kernel_size=(9,), stride=(1,), padding=(4,), bias=False)
(bn2): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv1d(256, 1024, kernel_size=(1,), stride=(1,), bias=False)
(bn3): BatchNorm1d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
(2): MaxPool1d(kernel_size=3, stride=3, padding=0, dilation=1, ceil_mode=False)
)
(conv_stage4): Sequential(
(0): BottleneckBlock(
(conv1): Conv1d(1024, 512, kernel_size=(1,), stride=(1,), bias=False)
(bn1): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv1d(512, 512, kernel_size=(9,), stride=(1,), padding=(4,), bias=False)
(bn2): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv1d(512, 2048, kernel_size=(1,), stride=(1,), bias=False)
(bn3): BatchNorm1d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
(downsample): Sequential(
(0): Conv1d(1024, 2048, kernel_size=(1,), stride=(1,), bias=False)
(1): BatchNorm1d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
)
(1): BottleneckBlock(
(conv1): Conv1d(2048, 512, kernel_size=(1,), stride=(1,), bias=False)
(bn1): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv1d(512, 512, kernel_size=(9,), stride=(1,), padding=(4,), bias=False)
(bn2): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv3): Conv1d(512, 2048, kernel_size=(1,), stride=(1,), bias=False)
(bn3): BatchNorm1d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
(2): MaxPool1d(kernel_size=3, stride=3, padding=0, dilation=1, ceil_mode=False)
)
(final_pool): AdaptiveMaxPool1d(output_size=1)
(fc_stage): Sequential(
(0): Sequential(
(0): Linear(in_features=2049, out_features=1024, bias=False)
(1): Dropout(p=0.1, inplace=False)
(2): BatchNorm1d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(3): ReLU()
)
(1): Sequential(
(0): Linear(in_features=1024, out_features=512, bias=False)
(1): Dropout(p=0.1, inplace=False)
(2): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(3): ReLU()
)
(2): Sequential(
(0): Linear(in_features=512, out_features=256, bias=False)
(1): Dropout(p=0.1, inplace=False)
(2): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(3): ReLU()
)
(3): Linear(in_features=256, out_features=3, bias=True)
)
)
Shape right before squeezing: torch.Size([32, 2048, 12])
The Number of parameters of the model: 16,729,219
# record = learning_rate_search(model,
# min_log_lr=-4.5,
# max_log_lr=-1.4,
# trials=300,
# epochs=1)
# draw_learning_rate_record(record)
# best_log_lr = record[np.argmax(np.array([v for lr, v in record]))][0]
best_log_lr = -3.0
print('best_log_lr:', best_log_lr)
best_log_lr: -3.0
# reduce the learning after [lr_schedule_step] epochs by a factor of 10
n_epoch = 2000
lr_schedule_step = 600
log_interval = len(train_loader) // 2
loss_history = []
train_acc_history = []
val_acc_history = []
best_val_acc = 0
model.reset_weights()
optimizer = optim.AdamW(model.parameters(), lr=10 ** best_log_lr, weight_decay=0.0001)
scheduler = optim.lr_scheduler.StepLR(optimizer, step_size=lr_schedule_step, gamma=0.1)
print(f'{"*"*40} Training Starts {"*"*40}')
for epoch in tqdm(range(1, n_epoch + 1)):
print(f'{"-"*30} Epoch {epoch:03d} / {n_epoch:03d}, Learning rate: {optimizer.param_groups[-1]["lr"]:.2e} {"-"*30}')
# train
loss, train_accuracy, train_confusion = train_one_epoch(model, optimizer, log_interval)
loss_history.extend(loss)
train_acc_history.append(train_accuracy)
# validation
val_accuracy, val_confusion = check_val_accuracy(model, repeat=5)
val_acc_history.append(val_accuracy)
if best_val_acc < val_accuracy:
best_val_acc = val_accuracy
best_model_state = deepcopy(model.state_dict())
# learning rate schedule
scheduler.step()
print()
print(f'* Train accuracy / confusion: {train_accuracy:.2f}% / {train_confusion.tolist()}, ')
print(f'* Val accuracy / confusion: {val_accuracy:.2f}% / {val_confusion.tolist()}')
print()
print(f'{"*"*40} Training Ends {"*"*40}')
# draw the training loss plot
draw_loss_plot(loss_history)
draw_accuracy_history(train_acc_history, val_acc_history)
# test the last model
last_model_state = deepcopy(model.state_dict())
last_test_accuracy, last_test_confusion, last_test_debug = check_test_accuracy(model, repeat=30)
print(f'- Test accuracy (last model): {last_test_accuracy:.2f}%')
print('- Confusion matrix (last model):\n', last_test_confusion)
print()
draw_confusion(last_test_confusion)
# test the best model
model.load_state_dict(best_model_state)
best_test_accuracy, best_test_confusion, best_test_debug = check_test_accuracy(model, repeat=30)
print(f'- Test accuracy (best model): {best_test_accuracy:.2f}%')
print('- Confusion matrix (best model):\n', best_test_confusion)
print()
draw_confusion(best_test_confusion)
**************************************** Training Starts ****************************************
------------------------------ Epoch 001 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.089489 - Iter 024 / 025, Loss: 1.159786 * Train accuracy / confusion: 40.38% / [[256, 54, 46], [188, 36, 41], [114, 34, 31]], * Val accuracy / confusion: 36.92% / [[78, 152, 0], [61, 114, 0], [50, 65, 0]] ------------------------------ Epoch 002 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.084964 - Iter 024 / 025, Loss: 1.054917 * Train accuracy / confusion: 42.00% / [[287, 68, 1], [217, 49, 1], [148, 29, 0]], * Val accuracy / confusion: 42.69% / [[188, 42, 0], [141, 34, 0], [101, 14, 0]] ------------------------------ Epoch 003 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.181245 - Iter 024 / 025, Loss: 1.106818 * Train accuracy / confusion: 42.62% / [[325, 29, 0], [250, 16, 0], [167, 13, 0]], * Val accuracy / confusion: 44.04% / [[222, 8, 0], [168, 7, 0], [104, 11, 0]] ------------------------------ Epoch 004 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.056075 - Iter 024 / 025, Loss: 0.979389 * Train accuracy / confusion: 44.50% / [[339, 17, 1], [247, 17, 1], [175, 3, 0]], * Val accuracy / confusion: 37.88% / [[85, 145, 0], [63, 112, 0], [43, 72, 0]] ------------------------------ Epoch 005 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.960048 - Iter 024 / 025, Loss: 1.068895 * Train accuracy / confusion: 44.38% / [[307, 53, 3], [213, 46, 3], [141, 32, 2]], * Val accuracy / confusion: 43.85% / [[212, 18, 0], [159, 16, 0], [104, 11, 0]] ------------------------------ Epoch 006 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.077280 - Iter 024 / 025, Loss: 1.096586 * Train accuracy / confusion: 44.38% / [[342, 12, 4], [250, 12, 3], [171, 5, 1]], * Val accuracy / confusion: 42.69% / [[218, 12, 0], [171, 4, 0], [114, 1, 0]] ------------------------------ Epoch 007 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.086263 - Iter 024 / 025, Loss: 1.025773 * Train accuracy / confusion: 43.25% / [[323, 27, 1], [248, 21, 0], [169, 9, 2]], * Val accuracy / confusion: 40.77% / [[209, 0, 21], [161, 0, 14], [112, 0, 3]] ------------------------------ Epoch 008 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.129914 - Iter 024 / 025, Loss: 1.004677 * Train accuracy / confusion: 40.00% / [[252, 96, 11], [202, 65, 1], [117, 53, 3]], * Val accuracy / confusion: 43.85% / [[226, 4, 0], [173, 2, 0], [115, 0, 0]] ------------------------------ Epoch 009 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.131860 - Iter 024 / 025, Loss: 1.058229 * Train accuracy / confusion: 43.00% / [[331, 16, 10], [256, 11, 1], [161, 12, 2]], * Val accuracy / confusion: 45.77% / [[217, 13, 0], [154, 21, 0], [104, 11, 0]] ------------------------------ Epoch 010 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.068216 - Iter 024 / 025, Loss: 1.106578 * Train accuracy / confusion: 43.25% / [[326, 32, 0], [251, 20, 0], [154, 17, 0]], * Val accuracy / confusion: 44.62% / [[229, 1, 0], [172, 3, 0], [110, 5, 0]] ------------------------------ Epoch 011 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.055575 - Iter 024 / 025, Loss: 1.115075 * Train accuracy / confusion: 42.75% / [[326, 26, 6], [254, 12, 2], [163, 7, 4]], * Val accuracy / confusion: 44.62% / [[230, 0, 0], [173, 2, 0], [115, 0, 0]] ------------------------------ Epoch 012 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.077813 - Iter 024 / 025, Loss: 1.089333 * Train accuracy / confusion: 42.75% / [[323, 22, 11], [245, 15, 5], [163, 12, 4]], * Val accuracy / confusion: 44.04% / [[218, 12, 0], [164, 11, 0], [108, 7, 0]] ------------------------------ Epoch 013 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.054370 - Iter 024 / 025, Loss: 1.025294 * Train accuracy / confusion: 45.38% / [[329, 29, 0], [232, 34, 0], [162, 14, 0]], * Val accuracy / confusion: 44.04% / [[229, 1, 0], [175, 0, 0], [115, 0, 0]] ------------------------------ Epoch 014 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.127897 - Iter 024 / 025, Loss: 1.057335 * Train accuracy / confusion: 42.62% / [[332, 19, 4], [261, 8, 1], [164, 10, 1]], * Val accuracy / confusion: 42.50% / [[204, 22, 4], [157, 15, 3], [102, 11, 2]] ------------------------------ Epoch 015 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.108904 - Iter 024 / 025, Loss: 1.177470 * Train accuracy / confusion: 41.25% / [[279, 72, 2], [218, 50, 1], [147, 30, 1]], * Val accuracy / confusion: 44.23% / [[230, 0, 0], [175, 0, 0], [115, 0, 0]] ------------------------------ Epoch 016 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.031738 - Iter 024 / 025, Loss: 0.998046 * Train accuracy / confusion: 45.12% / [[335, 24, 0], [237, 25, 3], [159, 16, 1]], * Val accuracy / confusion: 39.42% / [[114, 116, 0], [84, 91, 0], [64, 51, 0]] ------------------------------ Epoch 017 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.046882 - Iter 024 / 025, Loss: 1.034946 * Train accuracy / confusion: 44.12% / [[350, 6, 1], [265, 3, 0], [174, 1, 0]], * Val accuracy / confusion: 44.42% / [[230, 0, 0], [175, 0, 0], [114, 0, 1]] ------------------------------ Epoch 018 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.127407 - Iter 024 / 025, Loss: 1.135664 * Train accuracy / confusion: 42.62% / [[325, 29, 2], [249, 16, 1], [167, 11, 0]], * Val accuracy / confusion: 42.88% / [[196, 34, 0], [148, 27, 0], [100, 15, 0]] ------------------------------ Epoch 019 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.071476 - Iter 024 / 025, Loss: 1.123522 * Train accuracy / confusion: 42.75% / [[326, 30, 1], [248, 16, 4], [161, 14, 0]], * Val accuracy / confusion: 42.31% / [[202, 0, 28], [154, 0, 21], [97, 0, 18]] ------------------------------ Epoch 020 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.053791 - Iter 024 / 025, Loss: 1.134453 * Train accuracy / confusion: 43.38% / [[326, 20, 7], [250, 18, 4], [156, 16, 3]], * Val accuracy / confusion: 43.27% / [[224, 6, 0], [174, 1, 0], [113, 2, 0]] ------------------------------ Epoch 021 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.088888 - Iter 024 / 025, Loss: 1.069103 * Train accuracy / confusion: 44.25% / [[334, 22, 2], [249, 18, 0], [160, 13, 2]], * Val accuracy / confusion: 44.23% / [[230, 0, 0], [175, 0, 0], [115, 0, 0]] ------------------------------ Epoch 022 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.042210 - Iter 024 / 025, Loss: 1.071628 * Train accuracy / confusion: 43.12% / [[341, 12, 2], [266, 2, 3], [169, 3, 2]], * Val accuracy / confusion: 40.00% / [[186, 7, 37], [140, 7, 28], [96, 4, 15]] ------------------------------ Epoch 023 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.023986 - Iter 024 / 025, Loss: 1.007170 * Train accuracy / confusion: 42.50% / [[318, 33, 4], [244, 21, 3], [167, 9, 1]], * Val accuracy / confusion: 43.27% / [[209, 21, 0], [159, 16, 0], [106, 9, 0]] ------------------------------ Epoch 024 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.020839 - Iter 024 / 025, Loss: 1.050845 * Train accuracy / confusion: 44.50% / [[327, 26, 1], [238, 29, 1], [158, 20, 0]], * Val accuracy / confusion: 43.27% / [[220, 10, 0], [170, 5, 0], [114, 1, 0]] ------------------------------ Epoch 025 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.058746 - Iter 024 / 025, Loss: 1.016366 * Train accuracy / confusion: 42.38% / [[322, 27, 4], [250, 16, 1], [166, 13, 1]], * Val accuracy / confusion: 45.77% / [[227, 3, 0], [164, 11, 0], [114, 1, 0]] ------------------------------ Epoch 026 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.007007 - Iter 024 / 025, Loss: 1.015654 * Train accuracy / confusion: 44.12% / [[332, 21, 6], [248, 18, 3], [152, 17, 3]], * Val accuracy / confusion: 45.00% / [[220, 10, 0], [160, 14, 1], [99, 16, 0]] ------------------------------ Epoch 027 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.017004 - Iter 024 / 025, Loss: 1.157731 * Train accuracy / confusion: 45.00% / [[315, 40, 4], [220, 41, 8], [137, 31, 4]], * Val accuracy / confusion: 44.62% / [[205, 25, 0], [148, 27, 0], [101, 14, 0]] ------------------------------ Epoch 028 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.123136 - Iter 024 / 025, Loss: 1.018780 * Train accuracy / confusion: 41.62% / [[297, 49, 11], [228, 30, 11], [136, 32, 6]], * Val accuracy / confusion: 42.69% / [[200, 30, 0], [153, 22, 0], [96, 19, 0]] ------------------------------ Epoch 029 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.144836 - Iter 024 / 025, Loss: 1.083689 * Train accuracy / confusion: 43.75% / [[331, 19, 1], [249, 19, 2], [170, 9, 0]], * Val accuracy / confusion: 45.58% / [[203, 27, 0], [141, 34, 0], [94, 21, 0]] ------------------------------ Epoch 030 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.938008 - Iter 024 / 025, Loss: 0.959613 * Train accuracy / confusion: 44.12% / [[328, 20, 8], [242, 17, 10], [153, 14, 8]], * Val accuracy / confusion: 44.62% / [[228, 0, 2], [170, 3, 2], [113, 1, 1]] ------------------------------ Epoch 031 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.097754 - Iter 024 / 025, Loss: 1.232908 * Train accuracy / confusion: 43.88% / [[253, 108, 1], [167, 96, 0], [114, 59, 2]], * Val accuracy / confusion: 44.23% / [[228, 2, 0], [173, 2, 0], [113, 2, 0]] ------------------------------ Epoch 032 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.082594 - Iter 024 / 025, Loss: 1.065965 * Train accuracy / confusion: 41.62% / [[287, 62, 4], [225, 45, 2], [138, 36, 1]], * Val accuracy / confusion: 47.50% / [[187, 43, 0], [115, 60, 0], [75, 40, 0]] ------------------------------ Epoch 033 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.989745 - Iter 024 / 025, Loss: 1.009382 * Train accuracy / confusion: 44.12% / [[293, 61, 1], [211, 58, 0], [124, 50, 2]], * Val accuracy / confusion: 46.92% / [[212, 18, 0], [143, 32, 0], [97, 18, 0]] ------------------------------ Epoch 034 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.979688 - Iter 024 / 025, Loss: 1.060754 * Train accuracy / confusion: 46.38% / [[292, 67, 0], [186, 78, 1], [119, 56, 1]], * Val accuracy / confusion: 42.88% / [[102, 127, 1], [54, 121, 0], [26, 89, 0]] ------------------------------ Epoch 035 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.007517 - Iter 024 / 025, Loss: 0.971384 * Train accuracy / confusion: 45.25% / [[262, 81, 11], [166, 80, 22], [91, 67, 20]], * Val accuracy / confusion: 45.77% / [[205, 19, 6], [142, 20, 13], [84, 18, 13]] ------------------------------ Epoch 036 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.161202 - Iter 024 / 025, Loss: 1.097516 * Train accuracy / confusion: 43.88% / [[293, 25, 37], [211, 23, 34], [114, 28, 35]], * Val accuracy / confusion: 41.54% / [[190, 3, 37], [133, 0, 42], [87, 2, 26]] ------------------------------ Epoch 037 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.018747 - Iter 024 / 025, Loss: 1.144598 * Train accuracy / confusion: 44.12% / [[331, 16, 11], [243, 16, 10], [154, 13, 6]], * Val accuracy / confusion: 43.85% / [[208, 13, 9], [149, 16, 10], [98, 13, 4]] ------------------------------ Epoch 038 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.151743 - Iter 024 / 025, Loss: 0.967558 * Train accuracy / confusion: 44.88% / [[306, 41, 9], [214, 37, 14], [142, 21, 16]], * Val accuracy / confusion: 45.38% / [[214, 0, 16], [147, 1, 27], [94, 0, 21]] ------------------------------ Epoch 039 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.933074 - Iter 024 / 025, Loss: 0.970405 * Train accuracy / confusion: 46.50% / [[300, 23, 33], [199, 25, 43], [106, 24, 47]], * Val accuracy / confusion: 45.19% / [[143, 62, 25], [80, 64, 31], [48, 39, 28]] ------------------------------ Epoch 040 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.987774 - Iter 024 / 025, Loss: 1.023242 * Train accuracy / confusion: 45.25% / [[245, 87, 24], [154, 90, 24], [83, 66, 27]], * Val accuracy / confusion: 47.69% / [[184, 40, 6], [114, 43, 18], [71, 23, 21]] ------------------------------ Epoch 041 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.033484 - Iter 024 / 025, Loss: 1.090761 * Train accuracy / confusion: 46.62% / [[290, 49, 19], [178, 59, 26], [113, 42, 24]], * Val accuracy / confusion: 45.58% / [[213, 11, 6], [153, 16, 6], [101, 6, 8]] ------------------------------ Epoch 042 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.947644 - Iter 024 / 025, Loss: 1.084629 * Train accuracy / confusion: 45.00% / [[280, 66, 8], [186, 70, 15], [98, 67, 10]], * Val accuracy / confusion: 47.88% / [[201, 26, 3], [133, 28, 14], [65, 30, 20]] ------------------------------ Epoch 043 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.994110 - Iter 024 / 025, Loss: 1.085287 * Train accuracy / confusion: 46.25% / [[289, 33, 32], [182, 37, 47], [97, 39, 44]], * Val accuracy / confusion: 45.58% / [[199, 30, 1], [137, 37, 1], [87, 27, 1]] ------------------------------ Epoch 044 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.047166 - Iter 024 / 025, Loss: 0.915467 * Train accuracy / confusion: 45.50% / [[243, 104, 10], [144, 108, 15], [71, 92, 13]], * Val accuracy / confusion: 44.81% / [[128, 95, 7], [69, 93, 13], [21, 82, 12]] ------------------------------ Epoch 045 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.156480 - Iter 024 / 025, Loss: 1.007399 * Train accuracy / confusion: 48.88% / [[269, 68, 20], [148, 84, 33], [84, 56, 38]], * Val accuracy / confusion: 47.31% / [[152, 39, 39], [86, 46, 43], [44, 23, 48]] ------------------------------ Epoch 046 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.886432 - Iter 024 / 025, Loss: 0.898860 * Train accuracy / confusion: 48.62% / [[263, 73, 22], [145, 93, 31], [75, 65, 33]], * Val accuracy / confusion: 44.81% / [[131, 92, 7], [69, 93, 13], [34, 72, 9]] ------------------------------ Epoch 047 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.132569 - Iter 024 / 025, Loss: 1.021934 * Train accuracy / confusion: 51.25% / [[273, 72, 10], [142, 100, 28], [63, 75, 37]], * Val accuracy / confusion: 45.38% / [[159, 41, 30], [92, 58, 25], [54, 42, 19]] ------------------------------ Epoch 048 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.066348 - Iter 024 / 025, Loss: 1.002541 * Train accuracy / confusion: 48.38% / [[260, 95, 3], [134, 117, 17], [72, 92, 10]], * Val accuracy / confusion: 48.27% / [[127, 93, 10], [49, 96, 30], [31, 56, 28]] ------------------------------ Epoch 049 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.070899 - Iter 024 / 025, Loss: 0.997317 * Train accuracy / confusion: 49.50% / [[263, 70, 24], [137, 101, 33], [74, 66, 32]], * Val accuracy / confusion: 47.12% / [[207, 23, 0], [136, 31, 8], [76, 32, 7]] ------------------------------ Epoch 050 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.974223 - Iter 024 / 025, Loss: 0.998879 * Train accuracy / confusion: 48.62% / [[271, 74, 11], [149, 89, 31], [59, 87, 29]], * Val accuracy / confusion: 46.35% / [[163, 27, 40], [90, 45, 40], [46, 36, 33]] ------------------------------ Epoch 051 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.963325 - Iter 024 / 025, Loss: 0.952257 * Train accuracy / confusion: 48.12% / [[245, 94, 11], [130, 124, 20], [57, 103, 16]], * Val accuracy / confusion: 55.96% / [[168, 55, 7], [66, 77, 32], [32, 37, 46]] ------------------------------ Epoch 052 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.043393 - Iter 024 / 025, Loss: 0.983101 * Train accuracy / confusion: 49.50% / [[262, 81, 15], [133, 98, 36], [69, 70, 36]], * Val accuracy / confusion: 51.92% / [[150, 64, 16], [60, 86, 29], [27, 54, 34]] ------------------------------ Epoch 053 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.065477 - Iter 024 / 025, Loss: 0.877879 * Train accuracy / confusion: 50.50% / [[285, 58, 15], [155, 78, 35], [71, 62, 41]], * Val accuracy / confusion: 52.12% / [[186, 44, 0], [93, 80, 2], [47, 63, 5]] ------------------------------ Epoch 054 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.943334 - Iter 024 / 025, Loss: 0.971107 * Train accuracy / confusion: 50.75% / [[286, 49, 20], [143, 64, 60], [63, 59, 56]], * Val accuracy / confusion: 49.81% / [[182, 45, 3], [96, 52, 27], [37, 53, 25]] ------------------------------ Epoch 055 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.017313 - Iter 024 / 025, Loss: 1.054626 * Train accuracy / confusion: 51.62% / [[292, 62, 2], [149, 106, 9], [67, 98, 15]], * Val accuracy / confusion: 54.62% / [[187, 30, 13], [93, 43, 39], [36, 25, 54]] ------------------------------ Epoch 056 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.067812 - Iter 024 / 025, Loss: 0.949464 * Train accuracy / confusion: 50.62% / [[283, 48, 24], [148, 67, 54], [67, 54, 55]], * Val accuracy / confusion: 51.54% / [[146, 68, 16], [65, 65, 45], [23, 35, 57]] ------------------------------ Epoch 057 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.047991 - Iter 024 / 025, Loss: 0.982277 * Train accuracy / confusion: 52.00% / [[272, 60, 29], [129, 73, 61], [46, 59, 71]], * Val accuracy / confusion: 51.35% / [[133, 79, 18], [62, 84, 29], [18, 47, 50]] ------------------------------ Epoch 058 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.858396 - Iter 024 / 025, Loss: 0.832493 * Train accuracy / confusion: 54.50% / [[281, 64, 13], [125, 94, 47], [47, 68, 61]], * Val accuracy / confusion: 54.23% / [[185, 39, 6], [90, 57, 28], [38, 37, 40]] ------------------------------ Epoch 059 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.953291 - Iter 024 / 025, Loss: 0.985462 * Train accuracy / confusion: 52.50% / [[286, 45, 25], [141, 61, 63], [61, 45, 73]], * Val accuracy / confusion: 50.00% / [[200, 24, 6], [116, 24, 35], [50, 29, 36]] ------------------------------ Epoch 060 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.007795 - Iter 024 / 025, Loss: 1.077903 * Train accuracy / confusion: 51.12% / [[278, 67, 10], [145, 86, 37], [57, 75, 45]], * Val accuracy / confusion: 51.73% / [[176, 40, 14], [80, 71, 24], [36, 57, 22]] ------------------------------ Epoch 061 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.863575 - Iter 024 / 025, Loss: 0.905506 * Train accuracy / confusion: 52.38% / [[277, 54, 30], [123, 77, 68], [51, 55, 65]], * Val accuracy / confusion: 53.46% / [[206, 19, 5], [108, 45, 22], [44, 44, 27]] ------------------------------ Epoch 062 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.011363 - Iter 024 / 025, Loss: 0.978005 * Train accuracy / confusion: 52.62% / [[293, 45, 17], [138, 76, 53], [54, 72, 52]], * Val accuracy / confusion: 50.00% / [[174, 38, 18], [91, 39, 45], [37, 31, 47]] ------------------------------ Epoch 063 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.985463 - Iter 024 / 025, Loss: 0.931183 * Train accuracy / confusion: 51.62% / [[275, 69, 13], [132, 105, 31], [52, 90, 33]], * Val accuracy / confusion: 48.65% / [[180, 33, 17], [101, 30, 44], [52, 20, 43]] ------------------------------ Epoch 064 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.933833 - Iter 024 / 025, Loss: 0.965301 * Train accuracy / confusion: 52.88% / [[301, 26, 28], [151, 68, 51], [70, 51, 54]], * Val accuracy / confusion: 50.58% / [[203, 27, 0], [116, 59, 0], [53, 61, 1]] ------------------------------ Epoch 065 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.075055 - Iter 024 / 025, Loss: 0.970728 * Train accuracy / confusion: 52.75% / [[276, 76, 6], [129, 125, 12], [56, 99, 21]], * Val accuracy / confusion: 46.54% / [[96, 121, 13], [35, 113, 27], [11, 71, 33]] ------------------------------ Epoch 066 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.212221 - Iter 024 / 025, Loss: 0.890570 * Train accuracy / confusion: 52.88% / [[287, 54, 15], [134, 83, 46], [52, 76, 53]], * Val accuracy / confusion: 51.35% / [[200, 25, 5], [105, 50, 20], [46, 52, 17]] ------------------------------ Epoch 067 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.039624 - Iter 024 / 025, Loss: 1.010633 * Train accuracy / confusion: 52.88% / [[287, 44, 22], [136, 83, 52], [48, 75, 53]], * Val accuracy / confusion: 51.92% / [[219, 10, 1], [135, 29, 11], [80, 13, 22]] ------------------------------ Epoch 068 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.007874 - Iter 024 / 025, Loss: 1.095701 * Train accuracy / confusion: 55.50% / [[289, 42, 23], [122, 78, 67], [48, 54, 77]], * Val accuracy / confusion: 51.54% / [[196, 19, 15], [108, 33, 34], [50, 26, 39]] ------------------------------ Epoch 069 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.986879 - Iter 024 / 025, Loss: 1.008488 * Train accuracy / confusion: 54.25% / [[278, 42, 36], [132, 78, 58], [46, 52, 78]], * Val accuracy / confusion: 48.85% / [[133, 40, 57], [58, 38, 79], [17, 15, 83]] ------------------------------ Epoch 070 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.869444 - Iter 024 / 025, Loss: 1.055947 * Train accuracy / confusion: 55.00% / [[295, 50, 14], [125, 86, 55], [53, 63, 59]], * Val accuracy / confusion: 50.77% / [[218, 4, 8], [127, 6, 42], [69, 6, 40]] ------------------------------ Epoch 071 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.015413 - Iter 024 / 025, Loss: 0.965628 * Train accuracy / confusion: 53.00% / [[284, 49, 25], [127, 83, 56], [58, 61, 57]], * Val accuracy / confusion: 53.08% / [[206, 19, 5], [116, 34, 25], [55, 24, 36]] ------------------------------ Epoch 072 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.975846 - Iter 024 / 025, Loss: 0.888834 * Train accuracy / confusion: 54.12% / [[286, 52, 18], [126, 82, 57], [48, 66, 65]], * Val accuracy / confusion: 52.31% / [[149, 68, 13], [57, 78, 40], [20, 50, 45]] ------------------------------ Epoch 073 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.888000 - Iter 024 / 025, Loss: 0.847425 * Train accuracy / confusion: 53.50% / [[285, 49, 19], [123, 76, 70], [48, 63, 67]], * Val accuracy / confusion: 54.62% / [[191, 30, 9], [90, 49, 36], [32, 39, 44]] ------------------------------ Epoch 074 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.032293 - Iter 024 / 025, Loss: 0.958871 * Train accuracy / confusion: 51.75% / [[280, 65, 17], [131, 102, 30], [47, 96, 32]], * Val accuracy / confusion: 51.54% / [[135, 81, 14], [59, 90, 26], [18, 54, 43]] ------------------------------ Epoch 075 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.988286 - Iter 024 / 025, Loss: 0.932182 * Train accuracy / confusion: 49.75% / [[265, 89, 5], [130, 110, 29], [50, 99, 23]], * Val accuracy / confusion: 56.73% / [[193, 29, 8], [83, 59, 33], [37, 35, 43]] ------------------------------ Epoch 076 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.905742 - Iter 024 / 025, Loss: 1.022318 * Train accuracy / confusion: 52.00% / [[268, 63, 24], [117, 75, 76], [40, 64, 73]], * Val accuracy / confusion: 52.69% / [[200, 16, 14], [107, 20, 48], [36, 25, 54]] ------------------------------ Epoch 077 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.021413 - Iter 024 / 025, Loss: 1.027110 * Train accuracy / confusion: 53.00% / [[306, 45, 6], [152, 88, 26], [70, 77, 30]], * Val accuracy / confusion: 50.00% / [[210, 9, 11], [133, 11, 31], [64, 12, 39]] ------------------------------ Epoch 078 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.907084 - Iter 024 / 025, Loss: 0.949933 * Train accuracy / confusion: 51.12% / [[281, 60, 13], [133, 94, 42], [68, 75, 34]], * Val accuracy / confusion: 54.23% / [[206, 22, 2], [101, 63, 11], [53, 49, 13]] ------------------------------ Epoch 079 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.088563 - Iter 024 / 025, Loss: 0.974306 * Train accuracy / confusion: 52.38% / [[261, 88, 7], [109, 143, 16], [42, 119, 15]], * Val accuracy / confusion: 51.15% / [[203, 7, 20], [103, 10, 62], [50, 12, 53]] ------------------------------ Epoch 080 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.862960 - Iter 024 / 025, Loss: 1.026355 * Train accuracy / confusion: 53.25% / [[292, 35, 32], [133, 53, 80], [58, 36, 81]], * Val accuracy / confusion: 53.27% / [[128, 88, 14], [32, 108, 35], [12, 62, 41]] ------------------------------ Epoch 081 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.972604 - Iter 024 / 025, Loss: 0.942746 * Train accuracy / confusion: 55.38% / [[272, 73, 5], [105, 150, 21], [40, 113, 21]], * Val accuracy / confusion: 55.38% / [[183, 44, 3], [75, 90, 10], [33, 67, 15]] ------------------------------ Epoch 082 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.003762 - Iter 024 / 025, Loss: 0.812963 * Train accuracy / confusion: 55.88% / [[279, 67, 15], [107, 104, 53], [41, 70, 64]], * Val accuracy / confusion: 50.77% / [[138, 78, 14], [53, 77, 45], [14, 52, 49]] ------------------------------ Epoch 083 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.040973 - Iter 024 / 025, Loss: 1.002048 * Train accuracy / confusion: 52.50% / [[288, 66, 9], [131, 92, 38], [43, 93, 40]], * Val accuracy / confusion: 50.58% / [[221, 9, 0], [137, 34, 4], [68, 39, 8]] ------------------------------ Epoch 084 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.876140 - Iter 024 / 025, Loss: 0.851651 * Train accuracy / confusion: 56.12% / [[291, 49, 14], [137, 66, 65], [45, 41, 92]], * Val accuracy / confusion: 52.69% / [[160, 37, 33], [62, 47, 66], [28, 20, 67]] ------------------------------ Epoch 085 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.867073 - Iter 024 / 025, Loss: 0.926289 * Train accuracy / confusion: 55.50% / [[274, 65, 18], [109, 98, 61], [39, 64, 72]], * Val accuracy / confusion: 46.15% / [[102, 67, 61], [24, 69, 82], [9, 37, 69]] ------------------------------ Epoch 086 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.902404 - Iter 024 / 025, Loss: 0.858003 * Train accuracy / confusion: 53.62% / [[280, 66, 7], [115, 88, 65], [42, 76, 61]], * Val accuracy / confusion: 53.65% / [[176, 25, 29], [73, 54, 48], [24, 42, 49]] ------------------------------ Epoch 087 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.781756 - Iter 024 / 025, Loss: 0.842299 * Train accuracy / confusion: 53.00% / [[291, 54, 14], [121, 79, 67], [46, 74, 54]], * Val accuracy / confusion: 49.81% / [[124, 99, 7], [43, 126, 6], [11, 95, 9]] ------------------------------ Epoch 088 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.151510 - Iter 024 / 025, Loss: 1.090009 * Train accuracy / confusion: 54.62% / [[290, 47, 20], [130, 91, 46], [47, 73, 56]], * Val accuracy / confusion: 49.04% / [[130, 72, 28], [37, 65, 73], [14, 41, 60]] ------------------------------ Epoch 089 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.859489 - Iter 024 / 025, Loss: 0.981372 * Train accuracy / confusion: 55.12% / [[265, 68, 24], [112, 89, 67], [34, 54, 87]], * Val accuracy / confusion: 54.23% / [[182, 33, 15], [79, 51, 45], [30, 36, 49]] ------------------------------ Epoch 090 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.034642 - Iter 024 / 025, Loss: 1.004825 * Train accuracy / confusion: 55.75% / [[259, 87, 12], [100, 114, 54], [34, 67, 73]], * Val accuracy / confusion: 53.85% / [[185, 25, 20], [85, 51, 39], [36, 35, 44]] ------------------------------ Epoch 091 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.910750 - Iter 024 / 025, Loss: 0.857120 * Train accuracy / confusion: 56.25% / [[275, 68, 10], [114, 104, 51], [41, 66, 71]], * Val accuracy / confusion: 50.96% / [[125, 87, 18], [37, 88, 50], [18, 45, 52]] ------------------------------ Epoch 092 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.058130 - Iter 024 / 025, Loss: 0.715161 * Train accuracy / confusion: 55.25% / [[275, 67, 11], [108, 111, 51], [42, 79, 56]], * Val accuracy / confusion: 53.65% / [[207, 11, 12], [109, 33, 33], [52, 24, 39]] ------------------------------ Epoch 093 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.985164 - Iter 024 / 025, Loss: 0.943770 * Train accuracy / confusion: 55.25% / [[290, 48, 20], [125, 72, 71], [38, 56, 80]], * Val accuracy / confusion: 52.31% / [[160, 53, 17], [76, 65, 34], [27, 41, 47]] ------------------------------ Epoch 094 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.823820 - Iter 024 / 025, Loss: 0.812645 * Train accuracy / confusion: 54.50% / [[283, 43, 25], [129, 64, 80], [38, 49, 89]], * Val accuracy / confusion: 52.31% / [[168, 52, 10], [81, 63, 31], [36, 38, 41]] ------------------------------ Epoch 095 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.989180 - Iter 024 / 025, Loss: 0.845652 * Train accuracy / confusion: 55.50% / [[265, 85, 7], [98, 142, 26], [41, 99, 37]], * Val accuracy / confusion: 55.77% / [[191, 29, 10], [85, 66, 24], [35, 47, 33]] ------------------------------ Epoch 096 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.825924 - Iter 024 / 025, Loss: 1.038269 * Train accuracy / confusion: 57.25% / [[282, 57, 17], [106, 117, 50], [39, 73, 59]], * Val accuracy / confusion: 54.23% / [[189, 40, 1], [85, 75, 15], [30, 67, 18]] ------------------------------ Epoch 097 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.766293 - Iter 024 / 025, Loss: 0.862918 * Train accuracy / confusion: 54.25% / [[280, 58, 19], [119, 86, 59], [43, 68, 68]], * Val accuracy / confusion: 57.88% / [[193, 30, 7], [81, 62, 32], [32, 37, 46]] ------------------------------ Epoch 098 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.919129 - Iter 024 / 025, Loss: 1.033572 * Train accuracy / confusion: 56.50% / [[285, 58, 13], [109, 109, 51], [33, 84, 58]], * Val accuracy / confusion: 53.65% / [[172, 45, 13], [61, 88, 26], [27, 69, 19]] ------------------------------ Epoch 099 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.859782 - Iter 024 / 025, Loss: 0.895191 * Train accuracy / confusion: 55.88% / [[287, 63, 7], [110, 101, 55], [43, 75, 59]], * Val accuracy / confusion: 53.27% / [[204, 19, 7], [115, 27, 33], [45, 24, 46]] ------------------------------ Epoch 100 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.719499 - Iter 024 / 025, Loss: 0.802000 * Train accuracy / confusion: 52.88% / [[260, 81, 16], [105, 114, 50], [29, 96, 49]], * Val accuracy / confusion: 53.08% / [[124, 95, 11], [30, 97, 48], [10, 50, 55]] ------------------------------ Epoch 101 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.735981 - Iter 024 / 025, Loss: 0.854511 * Train accuracy / confusion: 54.75% / [[281, 64, 13], [125, 93, 52], [37, 71, 64]], * Val accuracy / confusion: 56.54% / [[189, 29, 12], [84, 60, 31], [33, 37, 45]] ------------------------------ Epoch 102 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.031044 - Iter 024 / 025, Loss: 0.885352 * Train accuracy / confusion: 57.12% / [[292, 47, 18], [118, 89, 59], [40, 61, 76]], * Val accuracy / confusion: 55.00% / [[201, 26, 3], [105, 44, 26], [52, 22, 41]] ------------------------------ Epoch 103 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.919030 - Iter 024 / 025, Loss: 0.911679 * Train accuracy / confusion: 55.75% / [[273, 70, 13], [112, 117, 40], [23, 96, 56]], * Val accuracy / confusion: 57.31% / [[161, 45, 24], [54, 65, 56], [16, 27, 72]] ------------------------------ Epoch 104 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.969591 - Iter 024 / 025, Loss: 0.946569 * Train accuracy / confusion: 56.38% / [[284, 41, 29], [115, 68, 86], [36, 42, 99]], * Val accuracy / confusion: 58.46% / [[168, 47, 15], [57, 72, 46], [21, 30, 64]] ------------------------------ Epoch 105 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.836871 - Iter 024 / 025, Loss: 0.719766 * Train accuracy / confusion: 55.00% / [[280, 73, 7], [107, 137, 22], [26, 125, 23]], * Val accuracy / confusion: 57.12% / [[190, 27, 13], [77, 61, 37], [29, 40, 46]] ------------------------------ Epoch 106 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.012218 - Iter 024 / 025, Loss: 0.696864 * Train accuracy / confusion: 54.25% / [[267, 55, 34], [112, 71, 89], [31, 45, 96]], * Val accuracy / confusion: 56.15% / [[147, 71, 12], [40, 88, 47], [12, 46, 57]] ------------------------------ Epoch 107 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.828226 - Iter 024 / 025, Loss: 0.828988 * Train accuracy / confusion: 54.12% / [[271, 66, 24], [108, 114, 44], [33, 92, 48]], * Val accuracy / confusion: 52.50% / [[180, 4, 46], [78, 8, 89], [26, 4, 85]] ------------------------------ Epoch 108 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.704675 - Iter 024 / 025, Loss: 0.896231 * Train accuracy / confusion: 57.38% / [[309, 32, 15], [134, 76, 55], [55, 50, 74]], * Val accuracy / confusion: 57.12% / [[158, 62, 10], [45, 107, 23], [25, 58, 32]] ------------------------------ Epoch 109 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.827737 - Iter 024 / 025, Loss: 0.992521 * Train accuracy / confusion: 56.25% / [[275, 59, 23], [108, 96, 60], [35, 65, 79]], * Val accuracy / confusion: 48.85% / [[121, 67, 42], [36, 67, 72], [10, 39, 66]] ------------------------------ Epoch 110 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.929622 - Iter 024 / 025, Loss: 1.028946 * Train accuracy / confusion: 55.50% / [[279, 65, 8], [100, 134, 35], [36, 112, 31]], * Val accuracy / confusion: 53.27% / [[206, 23, 1], [111, 51, 13], [47, 48, 20]] ------------------------------ Epoch 111 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.789137 - Iter 024 / 025, Loss: 0.918437 * Train accuracy / confusion: 55.75% / [[283, 60, 12], [102, 108, 57], [36, 87, 55]], * Val accuracy / confusion: 51.92% / [[193, 33, 4], [101, 49, 25], [39, 48, 28]] ------------------------------ Epoch 112 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.848629 - Iter 024 / 025, Loss: 0.832193 * Train accuracy / confusion: 56.25% / [[288, 60, 13], [117, 92, 55], [36, 69, 70]], * Val accuracy / confusion: 56.35% / [[160, 58, 12], [54, 78, 43], [14, 46, 55]] ------------------------------ Epoch 113 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.768697 - Iter 024 / 025, Loss: 0.857300 * Train accuracy / confusion: 56.12% / [[293, 56, 7], [118, 84, 67], [40, 63, 72]], * Val accuracy / confusion: 52.12% / [[142, 61, 27], [42, 79, 54], [13, 52, 50]] ------------------------------ Epoch 114 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.828938 - Iter 024 / 025, Loss: 0.862445 * Train accuracy / confusion: 55.88% / [[280, 52, 26], [97, 93, 77], [32, 69, 74]], * Val accuracy / confusion: 54.81% / [[151, 64, 15], [54, 81, 40], [18, 44, 53]] ------------------------------ Epoch 115 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.843336 - Iter 024 / 025, Loss: 1.045016 * Train accuracy / confusion: 52.75% / [[277, 76, 6], [118, 127, 24], [41, 113, 18]], * Val accuracy / confusion: 55.58% / [[186, 41, 3], [88, 77, 10], [35, 54, 26]] ------------------------------ Epoch 116 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.812493 - Iter 024 / 025, Loss: 0.854091 * Train accuracy / confusion: 53.75% / [[266, 73, 11], [112, 123, 37], [32, 105, 41]], * Val accuracy / confusion: 52.12% / [[124, 78, 28], [34, 76, 65], [11, 33, 71]] ------------------------------ Epoch 117 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.883895 - Iter 024 / 025, Loss: 0.823494 * Train accuracy / confusion: 56.25% / [[280, 58, 18], [110, 85, 74], [33, 57, 85]], * Val accuracy / confusion: 56.35% / [[192, 31, 7], [87, 60, 28], [42, 32, 41]] ------------------------------ Epoch 118 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.880812 - Iter 024 / 025, Loss: 1.013118 * Train accuracy / confusion: 57.38% / [[289, 50, 15], [123, 90, 54], [43, 56, 80]], * Val accuracy / confusion: 50.19% / [[130, 76, 24], [43, 67, 65], [14, 37, 64]] ------------------------------ Epoch 119 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.884808 - Iter 024 / 025, Loss: 0.929772 * Train accuracy / confusion: 54.50% / [[267, 80, 13], [102, 90, 73], [27, 69, 79]], * Val accuracy / confusion: 55.96% / [[166, 44, 20], [61, 59, 55], [18, 31, 66]] ------------------------------ Epoch 120 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.853707 - Iter 024 / 025, Loss: 0.912736 * Train accuracy / confusion: 56.50% / [[272, 64, 19], [100, 107, 61], [36, 68, 73]], * Val accuracy / confusion: 52.50% / [[199, 22, 9], [104, 41, 30], [51, 31, 33]] ------------------------------ Epoch 121 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.831997 - Iter 024 / 025, Loss: 0.932338 * Train accuracy / confusion: 54.38% / [[288, 54, 12], [133, 103, 32], [44, 90, 44]], * Val accuracy / confusion: 54.23% / [[170, 20, 40], [59, 34, 82], [20, 17, 78]] ------------------------------ Epoch 122 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.844027 - Iter 024 / 025, Loss: 0.821422 * Train accuracy / confusion: 57.00% / [[277, 43, 35], [116, 70, 79], [37, 34, 109]], * Val accuracy / confusion: 58.46% / [[188, 29, 13], [72, 61, 42], [28, 32, 55]] ------------------------------ Epoch 123 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.736649 - Iter 024 / 025, Loss: 0.852970 * Train accuracy / confusion: 52.12% / [[266, 81, 10], [106, 97, 62], [37, 87, 54]], * Val accuracy / confusion: 56.73% / [[175, 42, 13], [69, 66, 40], [24, 37, 54]] ------------------------------ Epoch 124 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.835204 - Iter 024 / 025, Loss: 0.959830 * Train accuracy / confusion: 54.38% / [[304, 32, 23], [143, 40, 82], [45, 40, 91]], * Val accuracy / confusion: 55.96% / [[164, 38, 28], [65, 58, 52], [16, 30, 69]] ------------------------------ Epoch 125 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.699700 - Iter 024 / 025, Loss: 0.983111 * Train accuracy / confusion: 54.38% / [[267, 74, 17], [99, 127, 41], [32, 102, 41]], * Val accuracy / confusion: 52.31% / [[174, 21, 35], [70, 26, 79], [29, 14, 72]] ------------------------------ Epoch 126 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.857540 - Iter 024 / 025, Loss: 0.913626 * Train accuracy / confusion: 56.62% / [[279, 53, 23], [120, 88, 62], [33, 56, 86]], * Val accuracy / confusion: 53.46% / [[204, 18, 8], [109, 38, 28], [47, 32, 36]] ------------------------------ Epoch 127 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.070650 - Iter 024 / 025, Loss: 0.772328 * Train accuracy / confusion: 56.88% / [[270, 67, 22], [87, 92, 88], [25, 56, 93]], * Val accuracy / confusion: 57.50% / [[160, 50, 20], [52, 77, 46], [20, 33, 62]] ------------------------------ Epoch 128 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.820003 - Iter 024 / 025, Loss: 0.914329 * Train accuracy / confusion: 55.00% / [[269, 77, 9], [104, 141, 28], [37, 105, 30]], * Val accuracy / confusion: 58.65% / [[167, 48, 15], [55, 85, 35], [19, 43, 53]] ------------------------------ Epoch 129 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.934925 - Iter 024 / 025, Loss: 0.958279 * Train accuracy / confusion: 55.62% / [[299, 47, 13], [127, 80, 59], [41, 68, 66]], * Val accuracy / confusion: 57.69% / [[177, 44, 9], [65, 75, 35], [21, 46, 48]] ------------------------------ Epoch 130 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.931816 - Iter 024 / 025, Loss: 1.035660 * Train accuracy / confusion: 57.12% / [[289, 50, 15], [118, 88, 65], [33, 62, 80]], * Val accuracy / confusion: 56.92% / [[155, 50, 25], [45, 67, 63], [10, 31, 74]] ------------------------------ Epoch 131 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.053394 - Iter 024 / 025, Loss: 0.923781 * Train accuracy / confusion: 55.62% / [[272, 72, 13], [97, 104, 64], [34, 75, 69]], * Val accuracy / confusion: 52.50% / [[141, 59, 30], [50, 62, 63], [14, 31, 70]] ------------------------------ Epoch 132 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.858230 - Iter 024 / 025, Loss: 0.767704 * Train accuracy / confusion: 57.12% / [[290, 39, 31], [124, 62, 77], [40, 32, 105]], * Val accuracy / confusion: 56.54% / [[172, 33, 25], [60, 56, 59], [22, 27, 66]] ------------------------------ Epoch 133 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.081392 - Iter 024 / 025, Loss: 0.955778 * Train accuracy / confusion: 58.38% / [[261, 72, 25], [97, 104, 65], [26, 48, 102]], * Val accuracy / confusion: 56.15% / [[132, 89, 9], [22, 115, 38], [9, 61, 45]] ------------------------------ Epoch 134 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.932776 - Iter 024 / 025, Loss: 1.026367 * Train accuracy / confusion: 56.12% / [[277, 55, 20], [117, 100, 53], [35, 71, 72]], * Val accuracy / confusion: 57.50% / [[168, 39, 23], [53, 57, 65], [23, 18, 74]] ------------------------------ Epoch 135 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.918876 - Iter 024 / 025, Loss: 0.734260 * Train accuracy / confusion: 54.12% / [[262, 67, 25], [100, 108, 63], [30, 82, 63]], * Val accuracy / confusion: 54.62% / [[151, 48, 31], [41, 66, 68], [14, 34, 67]] ------------------------------ Epoch 136 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.839557 - Iter 024 / 025, Loss: 1.106862 * Train accuracy / confusion: 54.38% / [[292, 50, 17], [137, 83, 53], [45, 63, 60]], * Val accuracy / confusion: 56.73% / [[174, 45, 11], [60, 91, 24], [24, 61, 30]] ------------------------------ Epoch 137 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.834289 - Iter 024 / 025, Loss: 1.129445 * Train accuracy / confusion: 57.12% / [[281, 55, 17], [105, 118, 46], [30, 90, 58]], * Val accuracy / confusion: 55.38% / [[167, 21, 42], [63, 38, 74], [20, 12, 83]] ------------------------------ Epoch 138 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.862192 - Iter 024 / 025, Loss: 0.950384 * Train accuracy / confusion: 57.88% / [[275, 51, 35], [101, 91, 72], [28, 50, 97]], * Val accuracy / confusion: 55.00% / [[184, 38, 8], [93, 48, 34], [34, 27, 54]] ------------------------------ Epoch 139 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.967019 - Iter 024 / 025, Loss: 0.721056 * Train accuracy / confusion: 58.62% / [[287, 52, 20], [112, 101, 53], [41, 53, 81]], * Val accuracy / confusion: 61.54% / [[165, 50, 15], [44, 93, 38], [26, 27, 62]] ------------------------------ Epoch 140 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.844619 - Iter 024 / 025, Loss: 0.942999 * Train accuracy / confusion: 57.12% / [[272, 69, 16], [103, 113, 49], [28, 78, 72]], * Val accuracy / confusion: 51.35% / [[105, 83, 42], [22, 83, 70], [4, 32, 79]] ------------------------------ Epoch 141 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.798921 - Iter 024 / 025, Loss: 0.944904 * Train accuracy / confusion: 57.62% / [[269, 70, 18], [96, 118, 54], [28, 73, 74]], * Val accuracy / confusion: 53.46% / [[197, 22, 11], [104, 26, 45], [38, 22, 55]] ------------------------------ Epoch 142 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.799127 - Iter 024 / 025, Loss: 0.807034 * Train accuracy / confusion: 57.62% / [[277, 58, 19], [95, 100, 71], [28, 68, 84]], * Val accuracy / confusion: 52.69% / [[121, 58, 51], [31, 72, 72], [4, 30, 81]] ------------------------------ Epoch 143 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.992212 - Iter 024 / 025, Loss: 0.782081 * Train accuracy / confusion: 57.00% / [[277, 67, 12], [101, 126, 42], [36, 86, 53]], * Val accuracy / confusion: 55.96% / [[210, 20, 0], [117, 54, 4], [50, 38, 27]] ------------------------------ Epoch 144 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.906025 - Iter 024 / 025, Loss: 0.815750 * Train accuracy / confusion: 55.75% / [[274, 59, 26], [105, 100, 63], [42, 59, 72]], * Val accuracy / confusion: 53.85% / [[199, 31, 0], [104, 68, 3], [44, 58, 13]] ------------------------------ Epoch 145 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.847194 - Iter 024 / 025, Loss: 0.886877 * Train accuracy / confusion: 56.75% / [[286, 55, 14], [116, 105, 46], [30, 85, 63]], * Val accuracy / confusion: 46.73% / [[86, 92, 52], [17, 73, 85], [7, 24, 84]] ------------------------------ Epoch 146 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.838594 - Iter 024 / 025, Loss: 0.779591 * Train accuracy / confusion: 55.75% / [[268, 74, 10], [105, 112, 52], [40, 73, 66]], * Val accuracy / confusion: 57.50% / [[129, 82, 19], [26, 106, 43], [7, 44, 64]] ------------------------------ Epoch 147 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.699392 - Iter 024 / 025, Loss: 0.999733 * Train accuracy / confusion: 57.50% / [[274, 56, 25], [96, 100, 73], [29, 61, 86]], * Val accuracy / confusion: 53.08% / [[139, 66, 25], [40, 75, 60], [10, 43, 62]] ------------------------------ Epoch 148 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.915007 - Iter 024 / 025, Loss: 0.666286 * Train accuracy / confusion: 57.88% / [[276, 65, 15], [109, 106, 52], [38, 58, 81]], * Val accuracy / confusion: 57.12% / [[174, 51, 5], [73, 64, 38], [26, 30, 59]] ------------------------------ Epoch 149 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.794684 - Iter 024 / 025, Loss: 0.994577 * Train accuracy / confusion: 54.88% / [[265, 75, 16], [111, 116, 44], [31, 84, 58]], * Val accuracy / confusion: 56.73% / [[191, 37, 2], [88, 74, 13], [33, 52, 30]] ------------------------------ Epoch 150 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.885716 - Iter 024 / 025, Loss: 0.829604 * Train accuracy / confusion: 58.00% / [[291, 50, 16], [116, 100, 51], [33, 70, 73]], * Val accuracy / confusion: 59.81% / [[150, 66, 14], [40, 95, 40], [11, 38, 66]] ------------------------------ Epoch 151 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.930935 - Iter 024 / 025, Loss: 0.838035 * Train accuracy / confusion: 55.88% / [[288, 47, 18], [115, 97, 58], [36, 79, 62]], * Val accuracy / confusion: 59.04% / [[153, 57, 20], [46, 92, 37], [13, 40, 62]] ------------------------------ Epoch 152 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.917205 - Iter 024 / 025, Loss: 0.811958 * Train accuracy / confusion: 56.00% / [[263, 79, 19], [104, 104, 56], [20, 74, 81]], * Val accuracy / confusion: 55.77% / [[155, 54, 21], [49, 71, 55], [16, 35, 64]] ------------------------------ Epoch 153 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.835454 - Iter 024 / 025, Loss: 0.765236 * Train accuracy / confusion: 56.50% / [[280, 46, 22], [122, 84, 67], [31, 60, 88]], * Val accuracy / confusion: 57.12% / [[164, 59, 7], [55, 88, 32], [23, 47, 45]] ------------------------------ Epoch 154 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.797644 - Iter 024 / 025, Loss: 0.931560 * Train accuracy / confusion: 59.00% / [[270, 66, 17], [84, 133, 56], [32, 73, 69]], * Val accuracy / confusion: 55.96% / [[187, 39, 4], [81, 70, 24], [38, 43, 34]] ------------------------------ Epoch 155 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.828203 - Iter 024 / 025, Loss: 0.877869 * Train accuracy / confusion: 56.38% / [[283, 61, 13], [109, 115, 44], [44, 78, 53]], * Val accuracy / confusion: 58.85% / [[187, 41, 2], [74, 80, 21], [27, 49, 39]] ------------------------------ Epoch 156 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.829880 - Iter 024 / 025, Loss: 0.944054 * Train accuracy / confusion: 56.00% / [[273, 72, 13], [107, 112, 48], [28, 84, 63]], * Val accuracy / confusion: 56.54% / [[154, 62, 14], [47, 84, 44], [16, 43, 56]] ------------------------------ Epoch 157 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.849218 - Iter 024 / 025, Loss: 0.853592 * Train accuracy / confusion: 60.38% / [[291, 49, 19], [92, 114, 58], [36, 63, 78]], * Val accuracy / confusion: 57.12% / [[136, 83, 11], [37, 112, 26], [13, 53, 49]] ------------------------------ Epoch 158 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.853696 - Iter 024 / 025, Loss: 0.717132 * Train accuracy / confusion: 56.88% / [[256, 90, 12], [84, 143, 39], [23, 97, 56]], * Val accuracy / confusion: 52.50% / [[119, 90, 21], [36, 85, 54], [9, 37, 69]] ------------------------------ Epoch 159 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.871591 - Iter 024 / 025, Loss: 0.908339 * Train accuracy / confusion: 59.50% / [[298, 38, 17], [122, 83, 64], [33, 50, 95]], * Val accuracy / confusion: 53.65% / [[150, 63, 17], [53, 74, 48], [15, 45, 55]] ------------------------------ Epoch 160 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.040890 - Iter 024 / 025, Loss: 0.845240 * Train accuracy / confusion: 57.50% / [[269, 76, 13], [99, 131, 40], [26, 86, 60]], * Val accuracy / confusion: 52.31% / [[118, 93, 19], [37, 103, 35], [11, 53, 51]] ------------------------------ Epoch 161 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.956047 - Iter 024 / 025, Loss: 0.843873 * Train accuracy / confusion: 57.88% / [[270, 61, 19], [105, 109, 57], [31, 64, 84]], * Val accuracy / confusion: 54.62% / [[118, 91, 21], [35, 106, 34], [7, 48, 60]] ------------------------------ Epoch 162 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.889504 - Iter 024 / 025, Loss: 0.850885 * Train accuracy / confusion: 60.12% / [[265, 87, 6], [94, 138, 34], [25, 73, 78]], * Val accuracy / confusion: 58.08% / [[154, 72, 4], [52, 111, 12], [15, 63, 37]] ------------------------------ Epoch 163 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.936746 - Iter 024 / 025, Loss: 0.833995 * Train accuracy / confusion: 59.50% / [[272, 61, 20], [107, 106, 54], [27, 55, 98]], * Val accuracy / confusion: 55.19% / [[186, 43, 1], [90, 73, 12], [35, 52, 28]] ------------------------------ Epoch 164 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.806757 - Iter 024 / 025, Loss: 0.838002 * Train accuracy / confusion: 59.38% / [[271, 63, 23], [83, 136, 48], [29, 79, 68]], * Val accuracy / confusion: 27.12% / [[24, 0, 206], [5, 2, 168], [0, 0, 115]] ------------------------------ Epoch 165 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.923203 - Iter 024 / 025, Loss: 0.866690 * Train accuracy / confusion: 58.12% / [[284, 63, 13], [101, 113, 50], [36, 72, 68]], * Val accuracy / confusion: 59.04% / [[167, 61, 2], [57, 102, 16], [18, 59, 38]] ------------------------------ Epoch 166 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.882517 - Iter 024 / 025, Loss: 0.722006 * Train accuracy / confusion: 59.12% / [[272, 55, 26], [106, 103, 62], [29, 49, 98]], * Val accuracy / confusion: 59.42% / [[164, 53, 13], [54, 89, 32], [18, 41, 56]] ------------------------------ Epoch 167 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.954860 - Iter 024 / 025, Loss: 0.899853 * Train accuracy / confusion: 58.88% / [[284, 53, 14], [109, 97, 63], [47, 43, 90]], * Val accuracy / confusion: 56.35% / [[137, 91, 2], [37, 118, 20], [9, 68, 38]] ------------------------------ Epoch 168 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.816777 - Iter 024 / 025, Loss: 0.844032 * Train accuracy / confusion: 59.25% / [[264, 81, 17], [81, 144, 42], [27, 78, 66]], * Val accuracy / confusion: 52.50% / [[150, 60, 20], [60, 58, 57], [13, 37, 65]] ------------------------------ Epoch 169 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.794805 - Iter 024 / 025, Loss: 0.856780 * Train accuracy / confusion: 60.25% / [[284, 58, 16], [99, 113, 55], [32, 58, 85]], * Val accuracy / confusion: 53.85% / [[149, 56, 25], [50, 67, 58], [14, 37, 64]] ------------------------------ Epoch 170 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.803809 - Iter 024 / 025, Loss: 0.927680 * Train accuracy / confusion: 57.88% / [[274, 69, 17], [101, 120, 45], [29, 76, 69]], * Val accuracy / confusion: 58.27% / [[156, 64, 10], [46, 87, 42], [13, 42, 60]] ------------------------------ Epoch 171 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.910032 - Iter 024 / 025, Loss: 0.703932 * Train accuracy / confusion: 60.75% / [[265, 66, 23], [81, 122, 65], [18, 61, 99]], * Val accuracy / confusion: 45.19% / [[99, 58, 73], [26, 50, 99], [8, 21, 86]] ------------------------------ Epoch 172 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.809205 - Iter 024 / 025, Loss: 0.964173 * Train accuracy / confusion: 59.75% / [[282, 58, 19], [102, 108, 54], [29, 60, 88]], * Val accuracy / confusion: 56.35% / [[155, 59, 16], [45, 88, 42], [14, 51, 50]] ------------------------------ Epoch 173 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.858626 - Iter 024 / 025, Loss: 0.772423 * Train accuracy / confusion: 61.12% / [[283, 54, 17], [104, 113, 52], [23, 61, 93]], * Val accuracy / confusion: 55.19% / [[166, 43, 21], [70, 46, 59], [24, 16, 75]] ------------------------------ Epoch 174 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.853743 - Iter 024 / 025, Loss: 0.768616 * Train accuracy / confusion: 59.88% / [[277, 43, 31], [102, 98, 70], [25, 50, 104]], * Val accuracy / confusion: 45.00% / [[105, 24, 101], [24, 24, 127], [5, 5, 105]] ------------------------------ Epoch 175 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.004149 - Iter 024 / 025, Loss: 0.915023 * Train accuracy / confusion: 57.62% / [[260, 78, 15], [81, 137, 52], [25, 88, 64]], * Val accuracy / confusion: 57.50% / [[156, 59, 15], [56, 85, 34], [16, 41, 58]] ------------------------------ Epoch 176 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.928577 - Iter 024 / 025, Loss: 0.844411 * Train accuracy / confusion: 55.75% / [[265, 63, 25], [107, 91, 73], [32, 54, 90]], * Val accuracy / confusion: 55.96% / [[167, 58, 5], [66, 101, 8], [18, 74, 23]] ------------------------------ Epoch 177 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.855189 - Iter 024 / 025, Loss: 0.865411 * Train accuracy / confusion: 56.88% / [[266, 66, 23], [99, 122, 46], [23, 88, 67]], * Val accuracy / confusion: 56.73% / [[168, 30, 32], [61, 45, 69], [15, 18, 82]] ------------------------------ Epoch 178 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.650115 - Iter 024 / 025, Loss: 0.859927 * Train accuracy / confusion: 60.12% / [[275, 66, 20], [87, 115, 63], [26, 57, 91]], * Val accuracy / confusion: 51.54% / [[101, 99, 30], [18, 88, 69], [6, 30, 79]] ------------------------------ Epoch 179 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.742378 - Iter 024 / 025, Loss: 0.964757 * Train accuracy / confusion: 57.50% / [[266, 66, 20], [102, 121, 49], [30, 73, 73]], * Val accuracy / confusion: 58.85% / [[193, 34, 3], [78, 72, 25], [23, 51, 41]] ------------------------------ Epoch 180 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.786884 - Iter 024 / 025, Loss: 0.778421 * Train accuracy / confusion: 59.62% / [[285, 57, 15], [106, 101, 60], [31, 54, 91]], * Val accuracy / confusion: 59.81% / [[193, 33, 4], [67, 65, 43], [25, 37, 53]] ------------------------------ Epoch 181 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.913162 - Iter 024 / 025, Loss: 0.709979 * Train accuracy / confusion: 59.25% / [[274, 64, 19], [100, 115, 51], [27, 65, 85]], * Val accuracy / confusion: 55.77% / [[153, 74, 3], [49, 108, 18], [16, 70, 29]] ------------------------------ Epoch 182 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.778705 - Iter 024 / 025, Loss: 1.095625 * Train accuracy / confusion: 59.25% / [[295, 47, 14], [124, 93, 52], [37, 52, 86]], * Val accuracy / confusion: 53.85% / [[155, 41, 34], [51, 52, 72], [13, 29, 73]] ------------------------------ Epoch 183 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.002347 - Iter 024 / 025, Loss: 0.742754 * Train accuracy / confusion: 62.50% / [[291, 48, 17], [98, 121, 47], [34, 56, 88]], * Val accuracy / confusion: 54.81% / [[133, 72, 25], [38, 91, 46], [8, 46, 61]] ------------------------------ Epoch 184 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.713067 - Iter 024 / 025, Loss: 0.859707 * Train accuracy / confusion: 61.25% / [[271, 69, 15], [91, 119, 59], [26, 50, 100]], * Val accuracy / confusion: 51.54% / [[214, 14, 2], [127, 46, 2], [70, 37, 8]] ------------------------------ Epoch 185 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.779547 - Iter 024 / 025, Loss: 0.732793 * Train accuracy / confusion: 61.12% / [[297, 43, 18], [107, 101, 59], [26, 58, 91]], * Val accuracy / confusion: 53.85% / [[145, 60, 25], [52, 81, 42], [20, 41, 54]] ------------------------------ Epoch 186 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.148386 - Iter 024 / 025, Loss: 0.761037 * Train accuracy / confusion: 58.62% / [[259, 78, 17], [95, 122, 50], [27, 64, 88]], * Val accuracy / confusion: 53.85% / [[167, 52, 11], [71, 72, 32], [30, 44, 41]] ------------------------------ Epoch 187 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.753229 - Iter 024 / 025, Loss: 0.989323 * Train accuracy / confusion: 58.75% / [[280, 58, 21], [102, 99, 63], [39, 47, 91]], * Val accuracy / confusion: 50.19% / [[153, 38, 39], [62, 39, 74], [18, 28, 69]] ------------------------------ Epoch 188 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.195268 - Iter 024 / 025, Loss: 0.784014 * Train accuracy / confusion: 60.25% / [[286, 42, 24], [115, 96, 62], [28, 47, 100]], * Val accuracy / confusion: 55.19% / [[211, 19, 0], [113, 47, 15], [52, 34, 29]] ------------------------------ Epoch 189 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.961691 - Iter 024 / 025, Loss: 0.670149 * Train accuracy / confusion: 59.75% / [[286, 59, 10], [108, 102, 63], [32, 50, 90]], * Val accuracy / confusion: 53.46% / [[198, 31, 1], [111, 47, 17], [49, 33, 33]] ------------------------------ Epoch 190 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.724147 - Iter 024 / 025, Loss: 0.910921 * Train accuracy / confusion: 58.88% / [[281, 60, 17], [104, 123, 38], [24, 86, 67]], * Val accuracy / confusion: 54.23% / [[168, 37, 25], [71, 46, 58], [22, 25, 68]] ------------------------------ Epoch 191 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.803418 - Iter 024 / 025, Loss: 1.030473 * Train accuracy / confusion: 61.12% / [[293, 49, 18], [113, 92, 63], [22, 46, 104]], * Val accuracy / confusion: 56.15% / [[195, 21, 14], [91, 44, 40], [28, 34, 53]] ------------------------------ Epoch 192 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.865145 - Iter 024 / 025, Loss: 0.681817 * Train accuracy / confusion: 59.62% / [[283, 48, 27], [113, 93, 57], [41, 37, 101]], * Val accuracy / confusion: 54.62% / [[187, 29, 14], [90, 29, 56], [24, 23, 68]] ------------------------------ Epoch 193 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.759231 - Iter 024 / 025, Loss: 0.916319 * Train accuracy / confusion: 58.50% / [[296, 54, 8], [104, 113, 46], [32, 88, 59]], * Val accuracy / confusion: 58.65% / [[160, 58, 12], [54, 90, 31], [15, 45, 55]] ------------------------------ Epoch 194 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.822046 - Iter 024 / 025, Loss: 0.698539 * Train accuracy / confusion: 61.75% / [[272, 60, 26], [84, 117, 64], [29, 43, 105]], * Val accuracy / confusion: 46.35% / [[93, 121, 16], [35, 111, 29], [5, 73, 37]] ------------------------------ Epoch 195 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.792272 - Iter 024 / 025, Loss: 0.815480 * Train accuracy / confusion: 61.25% / [[277, 65, 17], [93, 122, 54], [21, 60, 91]], * Val accuracy / confusion: 52.69% / [[156, 42, 32], [63, 47, 65], [16, 28, 71]] ------------------------------ Epoch 196 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.605955 - Iter 024 / 025, Loss: 0.968613 * Train accuracy / confusion: 58.00% / [[269, 61, 24], [110, 102, 57], [26, 58, 93]], * Val accuracy / confusion: 59.23% / [[153, 62, 15], [46, 94, 35], [14, 40, 61]] ------------------------------ Epoch 197 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.800259 - Iter 024 / 025, Loss: 0.988959 * Train accuracy / confusion: 59.88% / [[270, 67, 20], [94, 126, 49], [23, 68, 83]], * Val accuracy / confusion: 57.88% / [[185, 38, 7], [75, 67, 33], [28, 38, 49]] ------------------------------ Epoch 198 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.848617 - Iter 024 / 025, Loss: 0.782769 * Train accuracy / confusion: 61.75% / [[277, 66, 17], [93, 120, 54], [27, 49, 97]], * Val accuracy / confusion: 56.35% / [[178, 44, 8], [73, 79, 23], [25, 54, 36]] ------------------------------ Epoch 199 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.703956 - Iter 024 / 025, Loss: 0.833637 * Train accuracy / confusion: 59.50% / [[304, 43, 14], [115, 96, 55], [29, 68, 76]], * Val accuracy / confusion: 54.81% / [[183, 21, 26], [85, 35, 55], [24, 24, 67]] ------------------------------ Epoch 200 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.916726 - Iter 024 / 025, Loss: 0.980799 * Train accuracy / confusion: 62.12% / [[272, 66, 18], [76, 133, 57], [19, 67, 92]], * Val accuracy / confusion: 54.04% / [[133, 95, 2], [57, 101, 17], [12, 56, 47]] ------------------------------ Epoch 201 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.932903 - Iter 024 / 025, Loss: 0.865923 * Train accuracy / confusion: 59.88% / [[290, 50, 22], [104, 98, 63], [33, 49, 91]], * Val accuracy / confusion: 48.46% / [[115, 64, 51], [27, 69, 79], [8, 39, 68]] ------------------------------ Epoch 202 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.817515 - Iter 024 / 025, Loss: 0.789698 * Train accuracy / confusion: 60.62% / [[271, 59, 23], [85, 103, 80], [15, 53, 111]], * Val accuracy / confusion: 56.92% / [[171, 56, 3], [68, 81, 26], [25, 46, 44]] ------------------------------ Epoch 203 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.813576 - Iter 024 / 025, Loss: 1.044525 * Train accuracy / confusion: 59.62% / [[277, 69, 14], [92, 134, 41], [29, 78, 66]], * Val accuracy / confusion: 56.15% / [[152, 52, 26], [45, 63, 67], [14, 24, 77]] ------------------------------ Epoch 204 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.889450 - Iter 024 / 025, Loss: 0.721414 * Train accuracy / confusion: 62.75% / [[284, 43, 26], [95, 102, 68], [23, 43, 116]], * Val accuracy / confusion: 54.04% / [[186, 32, 12], [85, 38, 52], [31, 27, 57]] ------------------------------ Epoch 205 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.833978 - Iter 024 / 025, Loss: 0.926143 * Train accuracy / confusion: 58.62% / [[269, 68, 18], [103, 106, 60], [25, 57, 94]], * Val accuracy / confusion: 54.42% / [[156, 72, 2], [66, 102, 7], [18, 72, 25]] ------------------------------ Epoch 206 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.904566 - Iter 024 / 025, Loss: 0.818765 * Train accuracy / confusion: 60.62% / [[276, 66, 13], [94, 116, 60], [29, 53, 93]], * Val accuracy / confusion: 56.35% / [[176, 27, 27], [68, 38, 69], [16, 20, 79]] ------------------------------ Epoch 207 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.730679 - Iter 024 / 025, Loss: 0.775232 * Train accuracy / confusion: 62.12% / [[289, 44, 22], [98, 106, 65], [24, 50, 102]], * Val accuracy / confusion: 57.31% / [[183, 34, 13], [80, 59, 36], [22, 37, 56]] ------------------------------ Epoch 208 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.607365 - Iter 024 / 025, Loss: 0.987717 * Train accuracy / confusion: 61.12% / [[282, 56, 17], [99, 115, 55], [24, 60, 92]], * Val accuracy / confusion: 59.62% / [[175, 52, 3], [57, 90, 28], [20, 50, 45]] ------------------------------ Epoch 209 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.765815 - Iter 024 / 025, Loss: 0.943965 * Train accuracy / confusion: 62.62% / [[267, 70, 19], [89, 124, 54], [18, 49, 110]], * Val accuracy / confusion: 56.15% / [[154, 72, 4], [52, 112, 11], [13, 76, 26]] ------------------------------ Epoch 210 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.813524 - Iter 024 / 025, Loss: 0.764076 * Train accuracy / confusion: 59.38% / [[278, 67, 13], [86, 125, 55], [22, 82, 72]], * Val accuracy / confusion: 53.46% / [[205, 21, 4], [114, 25, 36], [48, 19, 48]] ------------------------------ Epoch 211 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.824958 - Iter 024 / 025, Loss: 0.804310 * Train accuracy / confusion: 60.12% / [[282, 53, 18], [101, 105, 64], [29, 54, 94]], * Val accuracy / confusion: 50.19% / [[122, 79, 29], [38, 91, 46], [7, 60, 48]] ------------------------------ Epoch 212 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.842968 - Iter 024 / 025, Loss: 0.859982 * Train accuracy / confusion: 60.38% / [[266, 65, 13], [87, 145, 42], [19, 91, 72]], * Val accuracy / confusion: 59.81% / [[168, 54, 8], [47, 109, 19], [15, 66, 34]] ------------------------------ Epoch 213 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.927731 - Iter 024 / 025, Loss: 0.784962 * Train accuracy / confusion: 62.12% / [[263, 65, 27], [84, 143, 44], [18, 65, 91]], * Val accuracy / confusion: 40.77% / [[93, 34, 103], [31, 23, 121], [8, 11, 96]] ------------------------------ Epoch 214 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.933061 - Iter 024 / 025, Loss: 0.959489 * Train accuracy / confusion: 62.62% / [[290, 50, 20], [104, 121, 42], [27, 56, 90]], * Val accuracy / confusion: 57.88% / [[190, 34, 6], [85, 72, 18], [33, 43, 39]] ------------------------------ Epoch 215 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.656902 - Iter 024 / 025, Loss: 0.886375 * Train accuracy / confusion: 59.88% / [[283, 62, 14], [96, 119, 51], [21, 77, 77]], * Val accuracy / confusion: 48.46% / [[98, 79, 53], [18, 96, 61], [7, 50, 58]] ------------------------------ Epoch 216 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.804962 - Iter 024 / 025, Loss: 0.712597 * Train accuracy / confusion: 61.00% / [[280, 54, 24], [103, 103, 61], [23, 47, 105]], * Val accuracy / confusion: 43.85% / [[106, 30, 94], [45, 39, 91], [9, 23, 83]] ------------------------------ Epoch 217 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.824340 - Iter 024 / 025, Loss: 0.780432 * Train accuracy / confusion: 62.88% / [[293, 45, 16], [107, 116, 48], [22, 59, 94]], * Val accuracy / confusion: 55.00% / [[159, 57, 14], [59, 78, 38], [11, 55, 49]] ------------------------------ Epoch 218 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.776342 - Iter 024 / 025, Loss: 0.778217 * Train accuracy / confusion: 59.12% / [[281, 55, 21], [103, 95, 64], [26, 58, 97]], * Val accuracy / confusion: 56.54% / [[170, 52, 8], [67, 92, 16], [18, 65, 32]] ------------------------------ Epoch 219 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.643590 - Iter 024 / 025, Loss: 0.811841 * Train accuracy / confusion: 60.00% / [[273, 57, 26], [89, 109, 70], [18, 60, 98]], * Val accuracy / confusion: 51.54% / [[120, 94, 16], [33, 108, 34], [14, 61, 40]] ------------------------------ Epoch 220 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.743440 - Iter 024 / 025, Loss: 0.870817 * Train accuracy / confusion: 62.12% / [[271, 64, 20], [80, 143, 45], [27, 67, 83]], * Val accuracy / confusion: 54.04% / [[145, 56, 29], [43, 76, 56], [12, 43, 60]] ------------------------------ Epoch 221 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.732567 - Iter 024 / 025, Loss: 0.739585 * Train accuracy / confusion: 62.12% / [[289, 46, 19], [91, 114, 62], [28, 57, 94]], * Val accuracy / confusion: 55.19% / [[195, 26, 9], [102, 55, 18], [38, 40, 37]] ------------------------------ Epoch 222 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.864706 - Iter 024 / 025, Loss: 0.883202 * Train accuracy / confusion: 59.50% / [[260, 79, 17], [85, 124, 58], [22, 63, 92]], * Val accuracy / confusion: 52.50% / [[200, 21, 9], [107, 31, 37], [42, 31, 42]] ------------------------------ Epoch 223 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.617348 - Iter 024 / 025, Loss: 0.879648 * Train accuracy / confusion: 61.12% / [[273, 56, 24], [99, 107, 65], [28, 39, 109]], * Val accuracy / confusion: 56.73% / [[170, 56, 4], [63, 82, 30], [16, 56, 43]] ------------------------------ Epoch 224 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.708715 - Iter 024 / 025, Loss: 1.052050 * Train accuracy / confusion: 64.38% / [[279, 56, 21], [80, 139, 53], [14, 61, 97]], * Val accuracy / confusion: 52.50% / [[120, 86, 24], [36, 94, 45], [10, 46, 59]] ------------------------------ Epoch 225 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.663853 - Iter 024 / 025, Loss: 0.821341 * Train accuracy / confusion: 60.50% / [[276, 66, 17], [91, 109, 64], [23, 55, 99]], * Val accuracy / confusion: 57.12% / [[190, 27, 13], [81, 52, 42], [23, 37, 55]] ------------------------------ Epoch 226 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.913355 - Iter 024 / 025, Loss: 0.939135 * Train accuracy / confusion: 60.38% / [[271, 65, 16], [92, 124, 51], [29, 64, 88]], * Val accuracy / confusion: 56.15% / [[174, 48, 8], [70, 74, 31], [20, 51, 44]] ------------------------------ Epoch 227 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.693230 - Iter 024 / 025, Loss: 0.749440 * Train accuracy / confusion: 63.25% / [[288, 49, 15], [89, 119, 63], [20, 58, 99]], * Val accuracy / confusion: 55.00% / [[138, 50, 42], [44, 80, 51], [11, 36, 68]] ------------------------------ Epoch 228 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.774941 - Iter 024 / 025, Loss: 0.597490 * Train accuracy / confusion: 60.88% / [[282, 57, 17], [96, 109, 62], [24, 57, 96]], * Val accuracy / confusion: 51.92% / [[201, 13, 16], [107, 15, 53], [42, 19, 54]] ------------------------------ Epoch 229 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.632613 - Iter 024 / 025, Loss: 0.791424 * Train accuracy / confusion: 63.38% / [[276, 63, 19], [88, 129, 54], [18, 51, 102]], * Val accuracy / confusion: 45.96% / [[68, 104, 58], [11, 106, 58], [3, 47, 65]] ------------------------------ Epoch 230 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.654591 - Iter 024 / 025, Loss: 0.780765 * Train accuracy / confusion: 59.50% / [[282, 55, 23], [110, 97, 56], [24, 56, 97]], * Val accuracy / confusion: 55.00% / [[190, 30, 10], [79, 58, 38], [33, 44, 38]] ------------------------------ Epoch 231 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.919563 - Iter 024 / 025, Loss: 0.668200 * Train accuracy / confusion: 63.25% / [[279, 55, 18], [86, 124, 58], [30, 47, 103]], * Val accuracy / confusion: 57.12% / [[179, 47, 4], [76, 83, 16], [21, 59, 35]] ------------------------------ Epoch 232 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.770040 - Iter 024 / 025, Loss: 0.997115 * Train accuracy / confusion: 61.88% / [[274, 60, 26], [93, 113, 59], [18, 49, 108]], * Val accuracy / confusion: 59.23% / [[172, 50, 8], [55, 82, 38], [13, 48, 54]] ------------------------------ Epoch 233 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.734287 - Iter 024 / 025, Loss: 0.875261 * Train accuracy / confusion: 60.38% / [[263, 76, 14], [85, 132, 52], [32, 58, 88]], * Val accuracy / confusion: 54.81% / [[199, 13, 18], [100, 25, 50], [35, 19, 61]] ------------------------------ Epoch 234 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.710599 - Iter 024 / 025, Loss: 0.886674 * Train accuracy / confusion: 62.50% / [[282, 59, 16], [94, 126, 50], [18, 63, 92]], * Val accuracy / confusion: 57.88% / [[195, 33, 2], [78, 86, 11], [27, 68, 20]] ------------------------------ Epoch 235 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.026337 - Iter 024 / 025, Loss: 0.765007 * Train accuracy / confusion: 61.62% / [[278, 62, 15], [94, 126, 50], [29, 57, 89]], * Val accuracy / confusion: 55.00% / [[128, 84, 18], [32, 109, 34], [8, 58, 49]] ------------------------------ Epoch 236 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.731106 - Iter 024 / 025, Loss: 0.804692 * Train accuracy / confusion: 65.00% / [[309, 40, 9], [101, 121, 46], [29, 55, 90]], * Val accuracy / confusion: 55.58% / [[163, 49, 18], [62, 85, 28], [16, 58, 41]] ------------------------------ Epoch 237 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.910704 - Iter 024 / 025, Loss: 0.673647 * Train accuracy / confusion: 64.12% / [[282, 53, 28], [103, 116, 43], [18, 42, 115]], * Val accuracy / confusion: 55.00% / [[155, 54, 21], [57, 80, 38], [16, 48, 51]] ------------------------------ Epoch 238 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.758423 - Iter 024 / 025, Loss: 0.833647 * Train accuracy / confusion: 62.38% / [[275, 55, 24], [93, 125, 51], [25, 53, 99]], * Val accuracy / confusion: 55.96% / [[173, 46, 11], [79, 62, 34], [20, 39, 56]] ------------------------------ Epoch 239 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.730511 - Iter 024 / 025, Loss: 0.846030 * Train accuracy / confusion: 63.88% / [[275, 60, 21], [84, 129, 55], [23, 46, 107]], * Val accuracy / confusion: 54.04% / [[130, 70, 30], [33, 94, 48], [6, 52, 57]] ------------------------------ Epoch 240 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.922100 - Iter 024 / 025, Loss: 1.065407 * Train accuracy / confusion: 61.62% / [[269, 64, 20], [95, 128, 44], [26, 58, 96]], * Val accuracy / confusion: 52.88% / [[111, 104, 15], [34, 114, 27], [9, 56, 50]] ------------------------------ Epoch 241 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.811307 - Iter 024 / 025, Loss: 0.965662 * Train accuracy / confusion: 63.50% / [[277, 57, 22], [79, 118, 68], [22, 44, 113]], * Val accuracy / confusion: 51.54% / [[128, 79, 23], [36, 80, 59], [11, 44, 60]] ------------------------------ Epoch 242 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.784161 - Iter 024 / 025, Loss: 0.703669 * Train accuracy / confusion: 62.25% / [[277, 67, 14], [85, 122, 60], [19, 57, 99]], * Val accuracy / confusion: 46.35% / [[119, 62, 49], [41, 57, 77], [10, 40, 65]] ------------------------------ Epoch 243 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.739571 - Iter 024 / 025, Loss: 0.811145 * Train accuracy / confusion: 62.38% / [[292, 56, 8], [95, 127, 46], [29, 67, 80]], * Val accuracy / confusion: 54.81% / [[147, 52, 31], [48, 67, 60], [13, 31, 71]] ------------------------------ Epoch 244 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.749992 - Iter 024 / 025, Loss: 0.859397 * Train accuracy / confusion: 62.62% / [[280, 59, 20], [88, 125, 53], [22, 57, 96]], * Val accuracy / confusion: 52.88% / [[180, 47, 3], [87, 77, 11], [26, 71, 18]] ------------------------------ Epoch 245 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.705322 - Iter 024 / 025, Loss: 0.759385 * Train accuracy / confusion: 62.38% / [[281, 49, 28], [95, 120, 53], [25, 51, 98]], * Val accuracy / confusion: 52.50% / [[174, 16, 40], [68, 21, 86], [24, 13, 78]] ------------------------------ Epoch 246 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.860400 - Iter 024 / 025, Loss: 0.839408 * Train accuracy / confusion: 62.62% / [[292, 49, 16], [98, 120, 49], [22, 65, 89]], * Val accuracy / confusion: 53.65% / [[172, 46, 12], [72, 58, 45], [17, 49, 49]] ------------------------------ Epoch 247 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.787026 - Iter 024 / 025, Loss: 0.700936 * Train accuracy / confusion: 63.25% / [[288, 55, 20], [94, 112, 57], [20, 48, 106]], * Val accuracy / confusion: 59.62% / [[184, 36, 10], [68, 74, 33], [20, 43, 52]] ------------------------------ Epoch 248 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.723783 - Iter 024 / 025, Loss: 1.042599 * Train accuracy / confusion: 60.25% / [[278, 58, 16], [106, 107, 59], [27, 52, 97]], * Val accuracy / confusion: 41.73% / [[98, 32, 100], [29, 25, 121], [11, 10, 94]] ------------------------------ Epoch 249 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.852650 - Iter 024 / 025, Loss: 0.763128 * Train accuracy / confusion: 60.62% / [[263, 65, 25], [81, 133, 54], [30, 60, 89]], * Val accuracy / confusion: 57.50% / [[196, 23, 11], [95, 44, 36], [34, 22, 59]] ------------------------------ Epoch 250 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.898493 - Iter 024 / 025, Loss: 0.862399 * Train accuracy / confusion: 63.00% / [[294, 51, 14], [97, 115, 56], [35, 43, 95]], * Val accuracy / confusion: 53.08% / [[172, 48, 10], [82, 73, 20], [20, 64, 31]] ------------------------------ Epoch 251 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.919026 - Iter 024 / 025, Loss: 0.879744 * Train accuracy / confusion: 63.62% / [[283, 54, 18], [91, 115, 62], [23, 43, 111]], * Val accuracy / confusion: 54.62% / [[165, 58, 7], [65, 86, 24], [18, 64, 33]] ------------------------------ Epoch 252 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.662186 - Iter 024 / 025, Loss: 0.860915 * Train accuracy / confusion: 62.25% / [[290, 52, 18], [98, 108, 62], [18, 54, 100]], * Val accuracy / confusion: 55.19% / [[145, 71, 14], [45, 88, 42], [10, 51, 54]] ------------------------------ Epoch 253 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.764607 - Iter 024 / 025, Loss: 1.061467 * Train accuracy / confusion: 62.38% / [[270, 62, 20], [84, 141, 45], [24, 66, 88]], * Val accuracy / confusion: 55.77% / [[174, 28, 28], [82, 39, 54], [21, 17, 77]] ------------------------------ Epoch 254 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.667184 - Iter 024 / 025, Loss: 0.619533 * Train accuracy / confusion: 63.88% / [[279, 63, 15], [91, 119, 57], [22, 41, 113]], * Val accuracy / confusion: 53.85% / [[167, 50, 13], [61, 48, 66], [16, 34, 65]] ------------------------------ Epoch 255 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.775532 - Iter 024 / 025, Loss: 0.929811 * Train accuracy / confusion: 62.00% / [[282, 47, 24], [88, 116, 65], [29, 51, 98]], * Val accuracy / confusion: 51.54% / [[104, 94, 32], [30, 104, 41], [4, 51, 60]] ------------------------------ Epoch 256 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.876628 - Iter 024 / 025, Loss: 0.890702 * Train accuracy / confusion: 63.88% / [[284, 62, 10], [82, 130, 56], [22, 57, 97]], * Val accuracy / confusion: 58.27% / [[179, 43, 8], [69, 83, 23], [18, 56, 41]] ------------------------------ Epoch 257 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.725803 - Iter 024 / 025, Loss: 0.910445 * Train accuracy / confusion: 64.38% / [[286, 42, 25], [90, 114, 65], [14, 49, 115]], * Val accuracy / confusion: 54.23% / [[153, 70, 7], [64, 73, 38], [15, 44, 56]] ------------------------------ Epoch 258 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.887819 - Iter 024 / 025, Loss: 0.956846 * Train accuracy / confusion: 62.62% / [[269, 63, 25], [78, 132, 56], [22, 55, 100]], * Val accuracy / confusion: 50.58% / [[140, 47, 43], [51, 46, 78], [10, 28, 77]] ------------------------------ Epoch 259 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.663787 - Iter 024 / 025, Loss: 0.594776 * Train accuracy / confusion: 63.38% / [[282, 52, 22], [89, 122, 58], [22, 50, 103]], * Val accuracy / confusion: 51.73% / [[179, 51, 0], [86, 74, 15], [22, 77, 16]] ------------------------------ Epoch 260 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.818140 - Iter 024 / 025, Loss: 0.834862 * Train accuracy / confusion: 63.50% / [[291, 44, 19], [94, 122, 52], [30, 53, 95]], * Val accuracy / confusion: 53.85% / [[146, 67, 17], [51, 93, 31], [15, 59, 41]] ------------------------------ Epoch 261 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.822373 - Iter 024 / 025, Loss: 0.829169 * Train accuracy / confusion: 62.88% / [[287, 52, 25], [87, 114, 58], [28, 47, 102]], * Val accuracy / confusion: 50.00% / [[150, 24, 56], [67, 27, 81], [16, 16, 83]] ------------------------------ Epoch 262 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.896429 - Iter 024 / 025, Loss: 0.692855 * Train accuracy / confusion: 64.00% / [[284, 52, 20], [95, 122, 52], [26, 43, 106]], * Val accuracy / confusion: 52.31% / [[184, 45, 1], [101, 54, 20], [28, 53, 34]] ------------------------------ Epoch 263 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.695089 - Iter 024 / 025, Loss: 0.771435 * Train accuracy / confusion: 63.62% / [[289, 45, 20], [92, 115, 62], [30, 42, 105]], * Val accuracy / confusion: 54.23% / [[160, 47, 23], [70, 60, 45], [17, 36, 62]] ------------------------------ Epoch 264 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.703218 - Iter 024 / 025, Loss: 0.993364 * Train accuracy / confusion: 63.12% / [[269, 74, 15], [75, 138, 51], [21, 59, 98]], * Val accuracy / confusion: 53.46% / [[183, 19, 28], [87, 25, 63], [26, 19, 70]] ------------------------------ Epoch 265 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.785483 - Iter 024 / 025, Loss: 0.885824 * Train accuracy / confusion: 64.25% / [[288, 47, 19], [95, 116, 60], [31, 34, 110]], * Val accuracy / confusion: 55.96% / [[168, 52, 10], [73, 84, 18], [17, 59, 39]] ------------------------------ Epoch 266 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.752423 - Iter 024 / 025, Loss: 0.711515 * Train accuracy / confusion: 63.50% / [[289, 48, 18], [87, 136, 43], [21, 75, 83]], * Val accuracy / confusion: 50.00% / [[149, 37, 44], [68, 31, 76], [15, 20, 80]] ------------------------------ Epoch 267 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.810146 - Iter 024 / 025, Loss: 0.902503 * Train accuracy / confusion: 62.62% / [[284, 53, 19], [101, 121, 48], [25, 53, 96]], * Val accuracy / confusion: 56.35% / [[172, 58, 0], [57, 114, 4], [17, 91, 7]] ------------------------------ Epoch 268 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.710747 - Iter 024 / 025, Loss: 0.860648 * Train accuracy / confusion: 64.25% / [[287, 45, 21], [89, 120, 61], [24, 46, 107]], * Val accuracy / confusion: 56.35% / [[170, 48, 12], [76, 54, 45], [22, 24, 69]] ------------------------------ Epoch 269 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.699585 - Iter 024 / 025, Loss: 0.951424 * Train accuracy / confusion: 62.88% / [[282, 54, 19], [97, 117, 55], [21, 51, 104]], * Val accuracy / confusion: 54.23% / [[179, 18, 33], [87, 23, 65], [24, 11, 80]] ------------------------------ Epoch 270 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.900295 - Iter 024 / 025, Loss: 0.851232 * Train accuracy / confusion: 65.50% / [[288, 49, 17], [83, 131, 54], [20, 53, 105]], * Val accuracy / confusion: 55.38% / [[188, 35, 7], [89, 51, 35], [31, 35, 49]] ------------------------------ Epoch 271 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.613189 - Iter 024 / 025, Loss: 0.780951 * Train accuracy / confusion: 63.50% / [[275, 67, 17], [77, 134, 55], [20, 56, 99]], * Val accuracy / confusion: 53.65% / [[154, 49, 27], [56, 47, 72], [13, 24, 78]] ------------------------------ Epoch 272 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.693641 - Iter 024 / 025, Loss: 0.797054 * Train accuracy / confusion: 64.38% / [[294, 43, 20], [97, 109, 60], [25, 40, 112]], * Val accuracy / confusion: 53.46% / [[185, 21, 24], [99, 24, 52], [31, 15, 69]] ------------------------------ Epoch 273 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.706570 - Iter 024 / 025, Loss: 0.880315 * Train accuracy / confusion: 66.62% / [[287, 52, 14], [83, 133, 52], [20, 46, 113]], * Val accuracy / confusion: 48.65% / [[84, 140, 6], [26, 133, 16], [7, 72, 36]] ------------------------------ Epoch 274 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.881882 - Iter 024 / 025, Loss: 0.793301 * Train accuracy / confusion: 64.25% / [[273, 56, 26], [80, 134, 57], [25, 42, 107]], * Val accuracy / confusion: 53.08% / [[150, 69, 11], [65, 84, 26], [14, 59, 42]] ------------------------------ Epoch 275 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.719124 - Iter 024 / 025, Loss: 0.934983 * Train accuracy / confusion: 62.88% / [[282, 58, 21], [91, 134, 44], [20, 63, 87]], * Val accuracy / confusion: 52.31% / [[145, 55, 30], [58, 50, 67], [14, 24, 77]] ------------------------------ Epoch 276 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.743753 - Iter 024 / 025, Loss: 0.794233 * Train accuracy / confusion: 65.38% / [[288, 52, 17], [87, 131, 50], [31, 40, 104]], * Val accuracy / confusion: 54.42% / [[157, 66, 7], [61, 87, 27], [15, 61, 39]] ------------------------------ Epoch 277 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.851901 - Iter 024 / 025, Loss: 0.981786 * Train accuracy / confusion: 65.62% / [[286, 53, 19], [81, 130, 60], [20, 42, 109]], * Val accuracy / confusion: 54.42% / [[171, 49, 10], [73, 65, 37], [23, 45, 47]] ------------------------------ Epoch 278 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.871256 - Iter 024 / 025, Loss: 0.808168 * Train accuracy / confusion: 62.88% / [[290, 51, 17], [96, 111, 59], [24, 50, 102]], * Val accuracy / confusion: 56.35% / [[192, 34, 4], [97, 64, 14], [42, 36, 37]] ------------------------------ Epoch 279 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.663547 - Iter 024 / 025, Loss: 0.801706 * Train accuracy / confusion: 61.12% / [[276, 60, 22], [97, 124, 49], [26, 57, 89]], * Val accuracy / confusion: 47.69% / [[101, 84, 45], [24, 88, 63], [4, 52, 59]] ------------------------------ Epoch 280 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.899473 - Iter 024 / 025, Loss: 0.797787 * Train accuracy / confusion: 63.50% / [[272, 56, 29], [79, 140, 51], [17, 60, 96]], * Val accuracy / confusion: 56.15% / [[195, 22, 13], [92, 37, 46], [35, 20, 60]] ------------------------------ Epoch 281 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.697047 - Iter 024 / 025, Loss: 0.799363 * Train accuracy / confusion: 63.88% / [[273, 64, 15], [85, 145, 39], [29, 57, 93]], * Val accuracy / confusion: 56.54% / [[164, 51, 15], [57, 79, 39], [14, 50, 51]] ------------------------------ Epoch 282 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.899430 - Iter 024 / 025, Loss: 0.689697 * Train accuracy / confusion: 63.38% / [[272, 58, 26], [86, 123, 57], [18, 48, 112]], * Val accuracy / confusion: 55.00% / [[148, 68, 14], [38, 84, 53], [14, 47, 54]] ------------------------------ Epoch 283 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.668818 - Iter 024 / 025, Loss: 0.750412 * Train accuracy / confusion: 65.12% / [[271, 53, 28], [92, 127, 50], [20, 36, 123]], * Val accuracy / confusion: 50.58% / [[154, 15, 61], [65, 16, 94], [12, 10, 93]] ------------------------------ Epoch 284 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.876863 - Iter 024 / 025, Loss: 0.730939 * Train accuracy / confusion: 64.50% / [[273, 58, 26], [76, 141, 47], [24, 53, 102]], * Val accuracy / confusion: 52.50% / [[192, 32, 6], [107, 48, 20], [46, 36, 33]] ------------------------------ Epoch 285 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.821051 - Iter 024 / 025, Loss: 0.958746 * Train accuracy / confusion: 65.50% / [[277, 65, 13], [82, 137, 47], [25, 44, 110]], * Val accuracy / confusion: 51.54% / [[130, 68, 32], [55, 66, 54], [16, 27, 72]] ------------------------------ Epoch 286 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.707201 - Iter 024 / 025, Loss: 0.894192 * Train accuracy / confusion: 64.00% / [[278, 59, 20], [92, 125, 49], [24, 44, 109]], * Val accuracy / confusion: 50.96% / [[177, 32, 21], [94, 27, 54], [34, 20, 61]] ------------------------------ Epoch 287 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.904827 - Iter 024 / 025, Loss: 0.752357 * Train accuracy / confusion: 63.25% / [[284, 52, 20], [100, 125, 45], [26, 51, 97]], * Val accuracy / confusion: 54.81% / [[157, 61, 12], [66, 93, 16], [16, 64, 35]] ------------------------------ Epoch 288 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.726646 - Iter 024 / 025, Loss: 0.879005 * Train accuracy / confusion: 67.00% / [[295, 44, 17], [79, 129, 61], [24, 39, 112]], * Val accuracy / confusion: 57.12% / [[186, 21, 23], [80, 39, 56], [27, 16, 72]] ------------------------------ Epoch 289 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.949061 - Iter 024 / 025, Loss: 0.779862 * Train accuracy / confusion: 62.88% / [[285, 49, 17], [95, 126, 50], [22, 64, 92]], * Val accuracy / confusion: 50.38% / [[108, 104, 18], [33, 125, 17], [8, 78, 29]] ------------------------------ Epoch 290 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.645068 - Iter 024 / 025, Loss: 0.728497 * Train accuracy / confusion: 63.88% / [[270, 53, 33], [87, 122, 61], [17, 38, 119]], * Val accuracy / confusion: 55.00% / [[173, 51, 6], [80, 72, 23], [24, 50, 41]] ------------------------------ Epoch 291 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.724424 - Iter 024 / 025, Loss: 0.736277 * Train accuracy / confusion: 64.50% / [[288, 50, 19], [91, 115, 59], [23, 42, 113]], * Val accuracy / confusion: 55.00% / [[169, 53, 8], [76, 64, 35], [21, 41, 53]] ------------------------------ Epoch 292 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.687299 - Iter 024 / 025, Loss: 0.673459 * Train accuracy / confusion: 65.88% / [[278, 54, 23], [83, 137, 47], [25, 41, 112]], * Val accuracy / confusion: 55.58% / [[163, 55, 12], [61, 77, 37], [21, 45, 49]] ------------------------------ Epoch 293 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.759675 - Iter 024 / 025, Loss: 0.775963 * Train accuracy / confusion: 67.12% / [[292, 48, 13], [85, 138, 48], [13, 56, 107]], * Val accuracy / confusion: 53.65% / [[202, 8, 20], [107, 16, 52], [41, 13, 61]] ------------------------------ Epoch 294 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.736899 - Iter 024 / 025, Loss: 0.847603 * Train accuracy / confusion: 64.00% / [[278, 60, 21], [85, 132, 50], [20, 52, 102]], * Val accuracy / confusion: 52.12% / [[139, 69, 22], [47, 89, 39], [13, 59, 43]] ------------------------------ Epoch 295 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.895254 - Iter 024 / 025, Loss: 0.733245 * Train accuracy / confusion: 68.25% / [[292, 53, 11], [87, 142, 37], [14, 52, 112]], * Val accuracy / confusion: 57.50% / [[173, 39, 18], [70, 63, 42], [20, 32, 63]] ------------------------------ Epoch 296 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.957362 - Iter 024 / 025, Loss: 0.750557 * Train accuracy / confusion: 64.75% / [[285, 56, 19], [84, 123, 56], [25, 42, 110]], * Val accuracy / confusion: 50.77% / [[131, 96, 3], [47, 121, 7], [14, 89, 12]] ------------------------------ Epoch 297 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.684872 - Iter 024 / 025, Loss: 0.902538 * Train accuracy / confusion: 65.25% / [[284, 57, 14], [86, 149, 32], [29, 60, 89]], * Val accuracy / confusion: 54.23% / [[207, 18, 5], [122, 34, 19], [54, 20, 41]] ------------------------------ Epoch 298 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.754268 - Iter 024 / 025, Loss: 0.841945 * Train accuracy / confusion: 62.50% / [[281, 49, 25], [99, 112, 56], [21, 50, 107]], * Val accuracy / confusion: 49.04% / [[116, 50, 64], [45, 71, 59], [13, 34, 68]] ------------------------------ Epoch 299 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.846227 - Iter 024 / 025, Loss: 0.709183 * Train accuracy / confusion: 63.50% / [[288, 54, 17], [91, 130, 42], [24, 64, 90]], * Val accuracy / confusion: 52.12% / [[111, 62, 57], [35, 94, 46], [11, 38, 66]] ------------------------------ Epoch 300 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.647406 - Iter 024 / 025, Loss: 0.957883 * Train accuracy / confusion: 65.00% / [[283, 57, 16], [96, 129, 44], [22, 45, 108]], * Val accuracy / confusion: 55.38% / [[152, 61, 17], [64, 68, 43], [20, 27, 68]] ------------------------------ Epoch 301 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.722199 - Iter 024 / 025, Loss: 0.785712 * Train accuracy / confusion: 67.25% / [[283, 56, 19], [76, 141, 48], [15, 48, 114]], * Val accuracy / confusion: 55.19% / [[165, 61, 4], [66, 91, 18], [13, 71, 31]] ------------------------------ Epoch 302 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.827336 - Iter 024 / 025, Loss: 0.786519 * Train accuracy / confusion: 64.38% / [[273, 61, 19], [79, 135, 54], [19, 53, 107]], * Val accuracy / confusion: 55.19% / [[152, 65, 13], [62, 82, 31], [18, 44, 53]] ------------------------------ Epoch 303 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.746608 - Iter 024 / 025, Loss: 0.967387 * Train accuracy / confusion: 64.88% / [[263, 69, 24], [67, 147, 55], [20, 46, 109]], * Val accuracy / confusion: 54.81% / [[173, 51, 6], [82, 80, 13], [24, 59, 32]] ------------------------------ Epoch 304 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.705155 - Iter 024 / 025, Loss: 0.665167 * Train accuracy / confusion: 65.38% / [[286, 51, 17], [89, 147, 34], [32, 54, 90]], * Val accuracy / confusion: 55.19% / [[192, 32, 6], [106, 47, 22], [45, 22, 48]] ------------------------------ Epoch 305 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.850294 - Iter 024 / 025, Loss: 0.713649 * Train accuracy / confusion: 62.88% / [[264, 68, 24], [86, 128, 53], [23, 43, 111]], * Val accuracy / confusion: 52.50% / [[162, 38, 30], [60, 51, 64], [18, 37, 60]] ------------------------------ Epoch 306 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.949609 - Iter 024 / 025, Loss: 0.695456 * Train accuracy / confusion: 66.50% / [[302, 38, 19], [104, 108, 52], [22, 33, 122]], * Val accuracy / confusion: 52.12% / [[169, 25, 36], [78, 33, 64], [21, 25, 69]] ------------------------------ Epoch 307 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.783206 - Iter 024 / 025, Loss: 0.758140 * Train accuracy / confusion: 64.38% / [[286, 52, 18], [87, 133, 47], [26, 55, 96]], * Val accuracy / confusion: 54.42% / [[166, 46, 18], [70, 59, 46], [23, 34, 58]] ------------------------------ Epoch 308 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.985248 - Iter 024 / 025, Loss: 0.783160 * Train accuracy / confusion: 68.50% / [[281, 57, 18], [69, 146, 51], [22, 35, 121]], * Val accuracy / confusion: 53.46% / [[153, 35, 42], [68, 54, 53], [13, 31, 71]] ------------------------------ Epoch 309 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.798819 - Iter 024 / 025, Loss: 0.881474 * Train accuracy / confusion: 67.00% / [[288, 56, 14], [78, 138, 50], [24, 42, 110]], * Val accuracy / confusion: 55.00% / [[184, 23, 23], [83, 27, 65], [25, 15, 75]] ------------------------------ Epoch 310 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.805153 - Iter 024 / 025, Loss: 0.668060 * Train accuracy / confusion: 65.88% / [[273, 66, 18], [81, 136, 46], [17, 45, 118]], * Val accuracy / confusion: 45.96% / [[124, 21, 85], [47, 15, 113], [10, 5, 100]] ------------------------------ Epoch 311 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.513940 - Iter 024 / 025, Loss: 0.757453 * Train accuracy / confusion: 66.00% / [[290, 51, 15], [84, 129, 52], [23, 47, 109]], * Val accuracy / confusion: 52.50% / [[159, 59, 12], [68, 67, 40], [17, 51, 47]] ------------------------------ Epoch 312 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.629678 - Iter 024 / 025, Loss: 0.899592 * Train accuracy / confusion: 66.50% / [[280, 52, 24], [75, 141, 49], [15, 53, 111]], * Val accuracy / confusion: 53.85% / [[151, 67, 12], [69, 71, 35], [16, 41, 58]] ------------------------------ Epoch 313 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.764620 - Iter 024 / 025, Loss: 0.683019 * Train accuracy / confusion: 66.38% / [[280, 55, 21], [77, 138, 53], [14, 49, 113]], * Val accuracy / confusion: 54.42% / [[135, 89, 6], [40, 113, 22], [13, 67, 35]] ------------------------------ Epoch 314 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.750456 - Iter 024 / 025, Loss: 0.632936 * Train accuracy / confusion: 67.12% / [[278, 62, 15], [76, 146, 43], [20, 47, 113]], * Val accuracy / confusion: 50.38% / [[160, 17, 53], [56, 16, 103], [18, 11, 86]] ------------------------------ Epoch 315 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.712749 - Iter 024 / 025, Loss: 0.873355 * Train accuracy / confusion: 67.38% / [[283, 56, 15], [78, 140, 52], [18, 42, 116]], * Val accuracy / confusion: 53.65% / [[165, 60, 5], [72, 77, 26], [20, 58, 37]] ------------------------------ Epoch 316 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.708495 - Iter 024 / 025, Loss: 0.704299 * Train accuracy / confusion: 65.38% / [[268, 69, 17], [72, 143, 54], [16, 49, 112]], * Val accuracy / confusion: 49.42% / [[122, 88, 20], [44, 94, 37], [8, 66, 41]] ------------------------------ Epoch 317 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.658944 - Iter 024 / 025, Loss: 0.707953 * Train accuracy / confusion: 67.50% / [[284, 61, 15], [77, 143, 45], [22, 40, 113]], * Val accuracy / confusion: 56.73% / [[163, 56, 11], [64, 77, 34], [19, 41, 55]] ------------------------------ Epoch 318 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.759952 - Iter 024 / 025, Loss: 0.544362 * Train accuracy / confusion: 66.38% / [[288, 58, 9], [87, 137, 46], [21, 48, 106]], * Val accuracy / confusion: 53.85% / [[159, 29, 42], [63, 46, 66], [14, 26, 75]] ------------------------------ Epoch 319 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.751765 - Iter 024 / 025, Loss: 0.865197 * Train accuracy / confusion: 67.75% / [[283, 55, 16], [78, 154, 39], [27, 43, 105]], * Val accuracy / confusion: 54.42% / [[179, 50, 1], [83, 76, 16], [24, 63, 28]] ------------------------------ Epoch 320 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.817378 - Iter 024 / 025, Loss: 0.913616 * Train accuracy / confusion: 65.50% / [[279, 58, 19], [82, 134, 52], [21, 44, 111]], * Val accuracy / confusion: 51.54% / [[146, 69, 15], [54, 84, 37], [12, 65, 38]] ------------------------------ Epoch 321 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.774009 - Iter 024 / 025, Loss: 0.720243 * Train accuracy / confusion: 64.75% / [[273, 65, 14], [90, 141, 40], [11, 62, 104]], * Val accuracy / confusion: 51.92% / [[127, 72, 31], [49, 85, 41], [12, 45, 58]] ------------------------------ Epoch 322 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.020399 - Iter 024 / 025, Loss: 0.712238 * Train accuracy / confusion: 65.62% / [[289, 44, 15], [97, 129, 48], [19, 52, 107]], * Val accuracy / confusion: 56.35% / [[170, 35, 25], [70, 49, 56], [19, 22, 74]] ------------------------------ Epoch 323 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.965583 - Iter 024 / 025, Loss: 0.763121 * Train accuracy / confusion: 66.62% / [[274, 67, 14], [68, 149, 51], [20, 47, 110]], * Val accuracy / confusion: 54.42% / [[147, 69, 14], [62, 93, 20], [16, 56, 43]] ------------------------------ Epoch 324 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.708192 - Iter 024 / 025, Loss: 0.851118 * Train accuracy / confusion: 63.50% / [[275, 59, 25], [92, 133, 47], [15, 54, 100]], * Val accuracy / confusion: 54.81% / [[171, 15, 44], [86, 40, 49], [23, 18, 74]] ------------------------------ Epoch 325 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.670002 - Iter 024 / 025, Loss: 0.657179 * Train accuracy / confusion: 66.25% / [[280, 59, 18], [76, 138, 53], [22, 42, 112]], * Val accuracy / confusion: 54.23% / [[170, 44, 16], [91, 52, 32], [21, 34, 60]] ------------------------------ Epoch 326 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.844826 - Iter 024 / 025, Loss: 0.728053 * Train accuracy / confusion: 62.62% / [[268, 74, 18], [79, 131, 57], [17, 54, 102]], * Val accuracy / confusion: 54.42% / [[156, 59, 15], [58, 86, 31], [13, 61, 41]] ------------------------------ Epoch 327 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.841799 - Iter 024 / 025, Loss: 0.765522 * Train accuracy / confusion: 68.12% / [[293, 52, 13], [77, 148, 43], [19, 51, 104]], * Val accuracy / confusion: 50.19% / [[145, 47, 38], [69, 53, 53], [17, 35, 63]] ------------------------------ Epoch 328 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.594033 - Iter 024 / 025, Loss: 0.693075 * Train accuracy / confusion: 66.88% / [[279, 60, 14], [79, 142, 47], [19, 46, 114]], * Val accuracy / confusion: 54.04% / [[160, 48, 22], [66, 64, 45], [17, 41, 57]] ------------------------------ Epoch 329 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.805478 - Iter 024 / 025, Loss: 0.834692 * Train accuracy / confusion: 67.25% / [[274, 63, 16], [70, 158, 42], [15, 56, 106]], * Val accuracy / confusion: 50.77% / [[118, 72, 40], [48, 75, 52], [11, 33, 71]] ------------------------------ Epoch 330 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.651572 - Iter 024 / 025, Loss: 0.735799 * Train accuracy / confusion: 67.38% / [[293, 60, 6], [74, 148, 46], [25, 50, 98]], * Val accuracy / confusion: 54.04% / [[192, 35, 3], [96, 58, 21], [39, 45, 31]] ------------------------------ Epoch 331 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.905432 - Iter 024 / 025, Loss: 0.738793 * Train accuracy / confusion: 64.38% / [[267, 70, 17], [70, 149, 51], [22, 55, 99]], * Val accuracy / confusion: 54.62% / [[169, 46, 15], [75, 61, 39], [21, 40, 54]] ------------------------------ Epoch 332 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.846546 - Iter 024 / 025, Loss: 0.702499 * Train accuracy / confusion: 66.50% / [[294, 57, 8], [84, 132, 50], [22, 47, 106]], * Val accuracy / confusion: 53.46% / [[149, 48, 33], [62, 84, 29], [13, 57, 45]] ------------------------------ Epoch 333 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.755326 - Iter 024 / 025, Loss: 0.957074 * Train accuracy / confusion: 67.75% / [[276, 60, 19], [70, 152, 46], [20, 43, 114]], * Val accuracy / confusion: 52.50% / [[174, 31, 25], [77, 32, 66], [23, 25, 67]] ------------------------------ Epoch 334 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.666567 - Iter 024 / 025, Loss: 0.644722 * Train accuracy / confusion: 68.62% / [[294, 54, 12], [74, 146, 47], [19, 45, 109]], * Val accuracy / confusion: 51.15% / [[129, 88, 13], [49, 106, 20], [10, 74, 31]] ------------------------------ Epoch 335 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.679724 - Iter 024 / 025, Loss: 0.690599 * Train accuracy / confusion: 68.38% / [[278, 68, 15], [61, 159, 44], [15, 50, 110]], * Val accuracy / confusion: 53.27% / [[184, 25, 21], [95, 36, 44], [31, 27, 57]] ------------------------------ Epoch 336 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.791100 - Iter 024 / 025, Loss: 0.522865 * Train accuracy / confusion: 66.75% / [[293, 47, 21], [83, 133, 48], [25, 42, 108]], * Val accuracy / confusion: 42.12% / [[96, 37, 97], [30, 46, 99], [7, 31, 77]] ------------------------------ Epoch 337 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.857122 - Iter 024 / 025, Loss: 0.808087 * Train accuracy / confusion: 68.50% / [[279, 64, 15], [72, 153, 44], [13, 44, 116]], * Val accuracy / confusion: 59.42% / [[170, 58, 2], [50, 112, 13], [18, 70, 27]] ------------------------------ Epoch 338 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.857934 - Iter 024 / 025, Loss: 0.713737 * Train accuracy / confusion: 68.12% / [[280, 56, 16], [78, 154, 38], [18, 49, 111]], * Val accuracy / confusion: 54.23% / [[126, 65, 39], [41, 94, 40], [8, 45, 62]] ------------------------------ Epoch 339 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.719929 - Iter 024 / 025, Loss: 0.524820 * Train accuracy / confusion: 66.12% / [[282, 61, 13], [70, 138, 57], [20, 50, 109]], * Val accuracy / confusion: 53.65% / [[146, 49, 35], [59, 81, 35], [10, 53, 52]] ------------------------------ Epoch 340 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.070310 - Iter 024 / 025, Loss: 0.544037 * Train accuracy / confusion: 69.00% / [[288, 54, 18], [76, 149, 39], [13, 48, 115]], * Val accuracy / confusion: 55.38% / [[174, 43, 13], [75, 74, 26], [20, 55, 40]] ------------------------------ Epoch 341 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.747178 - Iter 024 / 025, Loss: 0.817342 * Train accuracy / confusion: 65.75% / [[294, 47, 18], [91, 136, 42], [22, 54, 96]], * Val accuracy / confusion: 50.96% / [[156, 63, 11], [76, 83, 16], [25, 64, 26]] ------------------------------ Epoch 342 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.593390 - Iter 024 / 025, Loss: 0.803364 * Train accuracy / confusion: 66.38% / [[287, 56, 14], [79, 135, 56], [22, 42, 109]], * Val accuracy / confusion: 56.73% / [[178, 36, 16], [67, 76, 32], [17, 57, 41]] ------------------------------ Epoch 343 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.655208 - Iter 024 / 025, Loss: 0.626361 * Train accuracy / confusion: 68.50% / [[290, 45, 19], [82, 149, 39], [20, 47, 109]], * Val accuracy / confusion: 51.54% / [[165, 35, 30], [70, 28, 77], [20, 20, 75]] ------------------------------ Epoch 344 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.675065 - Iter 024 / 025, Loss: 0.859478 * Train accuracy / confusion: 66.50% / [[280, 59, 17], [68, 144, 54], [18, 52, 108]], * Val accuracy / confusion: 51.92% / [[182, 35, 13], [95, 43, 37], [30, 40, 45]] ------------------------------ Epoch 345 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.646876 - Iter 024 / 025, Loss: 0.576239 * Train accuracy / confusion: 68.62% / [[291, 51, 13], [75, 143, 48], [20, 44, 115]], * Val accuracy / confusion: 56.15% / [[161, 51, 18], [63, 87, 25], [14, 57, 44]] ------------------------------ Epoch 346 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.920642 - Iter 024 / 025, Loss: 0.985477 * Train accuracy / confusion: 66.38% / [[283, 52, 19], [80, 133, 58], [20, 40, 115]], * Val accuracy / confusion: 54.62% / [[187, 7, 36], [92, 9, 74], [26, 1, 88]] ------------------------------ Epoch 347 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.775710 - Iter 024 / 025, Loss: 0.747266 * Train accuracy / confusion: 67.38% / [[288, 54, 16], [92, 145, 33], [18, 48, 106]], * Val accuracy / confusion: 53.08% / [[144, 38, 48], [64, 71, 40], [14, 40, 61]] ------------------------------ Epoch 348 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.687288 - Iter 024 / 025, Loss: 0.786778 * Train accuracy / confusion: 68.25% / [[288, 51, 15], [80, 152, 37], [21, 50, 106]], * Val accuracy / confusion: 52.31% / [[161, 55, 14], [77, 74, 24], [23, 55, 37]] ------------------------------ Epoch 349 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.932175 - Iter 024 / 025, Loss: 0.671499 * Train accuracy / confusion: 68.00% / [[282, 59, 16], [72, 149, 46], [14, 49, 113]], * Val accuracy / confusion: 52.31% / [[170, 16, 44], [80, 34, 61], [29, 18, 68]] ------------------------------ Epoch 350 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.698603 - Iter 024 / 025, Loss: 0.710458 * Train accuracy / confusion: 66.62% / [[283, 61, 13], [79, 141, 47], [27, 40, 109]], * Val accuracy / confusion: 49.62% / [[135, 40, 55], [53, 50, 72], [11, 31, 73]] ------------------------------ Epoch 351 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.578062 - Iter 024 / 025, Loss: 0.773593 * Train accuracy / confusion: 68.25% / [[280, 53, 20], [76, 140, 53], [17, 35, 126]], * Val accuracy / confusion: 46.35% / [[95, 94, 41], [26, 99, 50], [8, 60, 47]] ------------------------------ Epoch 352 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.839637 - Iter 024 / 025, Loss: 0.679957 * Train accuracy / confusion: 68.50% / [[287, 42, 25], [78, 149, 40], [25, 42, 112]], * Val accuracy / confusion: 52.69% / [[137, 80, 13], [52, 95, 28], [12, 61, 42]] ------------------------------ Epoch 353 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.658957 - Iter 024 / 025, Loss: 0.743497 * Train accuracy / confusion: 69.12% / [[279, 59, 21], [68, 155, 41], [17, 41, 119]], * Val accuracy / confusion: 55.38% / [[166, 47, 17], [56, 74, 45], [21, 46, 48]] ------------------------------ Epoch 354 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.757783 - Iter 024 / 025, Loss: 0.672304 * Train accuracy / confusion: 69.00% / [[286, 52, 20], [77, 152, 36], [14, 49, 114]], * Val accuracy / confusion: 51.73% / [[152, 29, 49], [60, 35, 80], [15, 18, 82]] ------------------------------ Epoch 355 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.941721 - Iter 024 / 025, Loss: 0.659290 * Train accuracy / confusion: 69.12% / [[290, 48, 19], [85, 142, 39], [29, 27, 121]], * Val accuracy / confusion: 50.58% / [[138, 63, 29], [56, 74, 45], [15, 49, 51]] ------------------------------ Epoch 356 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.690245 - Iter 024 / 025, Loss: 0.776542 * Train accuracy / confusion: 69.75% / [[287, 49, 16], [77, 152, 39], [18, 43, 119]], * Val accuracy / confusion: 55.77% / [[160, 65, 5], [63, 95, 17], [24, 56, 35]] ------------------------------ Epoch 357 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.574343 - Iter 024 / 025, Loss: 0.727554 * Train accuracy / confusion: 70.50% / [[300, 46, 14], [77, 145, 40], [19, 40, 119]], * Val accuracy / confusion: 51.54% / [[143, 56, 31], [66, 55, 54], [16, 29, 70]] ------------------------------ Epoch 358 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.855705 - Iter 024 / 025, Loss: 0.771184 * Train accuracy / confusion: 67.88% / [[298, 50, 12], [81, 141, 44], [19, 51, 104]], * Val accuracy / confusion: 53.85% / [[198, 19, 13], [108, 31, 36], [33, 31, 51]] ------------------------------ Epoch 359 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.774023 - Iter 024 / 025, Loss: 0.730276 * Train accuracy / confusion: 68.00% / [[291, 46, 18], [84, 143, 41], [25, 42, 110]], * Val accuracy / confusion: 56.54% / [[187, 31, 12], [90, 52, 33], [30, 30, 55]] ------------------------------ Epoch 360 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.872299 - Iter 024 / 025, Loss: 0.763009 * Train accuracy / confusion: 66.50% / [[268, 64, 18], [81, 150, 41], [20, 44, 114]], * Val accuracy / confusion: 54.42% / [[187, 27, 16], [93, 43, 39], [28, 34, 53]] ------------------------------ Epoch 361 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.592673 - Iter 024 / 025, Loss: 0.692211 * Train accuracy / confusion: 68.00% / [[281, 50, 23], [80, 157, 38], [18, 47, 106]], * Val accuracy / confusion: 54.62% / [[159, 65, 6], [64, 87, 24], [14, 63, 38]] ------------------------------ Epoch 362 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.690872 - Iter 024 / 025, Loss: 0.826251 * Train accuracy / confusion: 67.62% / [[281, 58, 14], [78, 146, 44], [27, 38, 114]], * Val accuracy / confusion: 49.23% / [[144, 46, 40], [62, 53, 60], [10, 46, 59]] ------------------------------ Epoch 363 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.721924 - Iter 024 / 025, Loss: 0.648406 * Train accuracy / confusion: 67.25% / [[275, 64, 18], [74, 156, 39], [18, 49, 107]], * Val accuracy / confusion: 51.54% / [[174, 33, 23], [89, 49, 37], [31, 39, 45]] ------------------------------ Epoch 364 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.642586 - Iter 024 / 025, Loss: 0.445434 * Train accuracy / confusion: 70.75% / [[297, 53, 12], [75, 151, 39], [11, 44, 118]], * Val accuracy / confusion: 54.23% / [[152, 68, 10], [67, 84, 24], [17, 52, 46]] ------------------------------ Epoch 365 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.857420 - Iter 024 / 025, Loss: 0.805229 * Train accuracy / confusion: 68.38% / [[277, 62, 19], [71, 152, 47], [11, 43, 118]], * Val accuracy / confusion: 55.58% / [[189, 28, 13], [82, 38, 55], [26, 27, 62]] ------------------------------ Epoch 366 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.850155 - Iter 024 / 025, Loss: 0.865666 * Train accuracy / confusion: 70.50% / [[297, 50, 15], [77, 150, 39], [22, 33, 117]], * Val accuracy / confusion: 54.04% / [[168, 53, 9], [67, 64, 44], [20, 46, 49]] ------------------------------ Epoch 367 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.690717 - Iter 024 / 025, Loss: 0.766585 * Train accuracy / confusion: 71.62% / [[295, 50, 13], [75, 153, 37], [15, 37, 125]], * Val accuracy / confusion: 51.92% / [[165, 64, 1], [81, 83, 11], [24, 69, 22]] ------------------------------ Epoch 368 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.779505 - Iter 024 / 025, Loss: 0.558076 * Train accuracy / confusion: 68.75% / [[280, 53, 23], [74, 147, 44], [15, 41, 123]], * Val accuracy / confusion: 53.46% / [[165, 40, 25], [63, 66, 46], [19, 49, 47]] ------------------------------ Epoch 369 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.478718 - Iter 024 / 025, Loss: 0.705786 * Train accuracy / confusion: 67.62% / [[281, 54, 18], [81, 151, 40], [20, 46, 109]], * Val accuracy / confusion: 51.73% / [[151, 47, 32], [69, 65, 41], [19, 43, 53]] ------------------------------ Epoch 370 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.789925 - Iter 024 / 025, Loss: 0.701492 * Train accuracy / confusion: 68.50% / [[290, 52, 17], [76, 144, 48], [18, 41, 114]], * Val accuracy / confusion: 49.42% / [[160, 56, 14], [79, 68, 28], [21, 65, 29]] ------------------------------ Epoch 371 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.856721 - Iter 024 / 025, Loss: 0.880491 * Train accuracy / confusion: 70.25% / [[295, 45, 14], [74, 155, 43], [15, 47, 112]], * Val accuracy / confusion: 54.04% / [[165, 52, 13], [68, 65, 42], [22, 42, 51]] ------------------------------ Epoch 372 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.672367 - Iter 024 / 025, Loss: 0.692247 * Train accuracy / confusion: 68.62% / [[277, 64, 15], [65, 163, 40], [18, 49, 109]], * Val accuracy / confusion: 46.54% / [[91, 113, 26], [34, 104, 37], [5, 63, 47]] ------------------------------ Epoch 373 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.589642 - Iter 024 / 025, Loss: 0.772631 * Train accuracy / confusion: 67.88% / [[282, 53, 22], [88, 143, 35], [25, 34, 118]], * Val accuracy / confusion: 55.77% / [[182, 13, 35], [73, 28, 74], [20, 15, 80]] ------------------------------ Epoch 374 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.670023 - Iter 024 / 025, Loss: 0.774651 * Train accuracy / confusion: 67.50% / [[275, 66, 12], [82, 150, 41], [20, 39, 115]], * Val accuracy / confusion: 55.77% / [[151, 61, 18], [54, 93, 28], [13, 56, 46]] ------------------------------ Epoch 375 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.815361 - Iter 024 / 025, Loss: 0.817074 * Train accuracy / confusion: 69.25% / [[303, 44, 12], [92, 142, 34], [23, 41, 109]], * Val accuracy / confusion: 54.23% / [[142, 71, 17], [50, 98, 27], [16, 57, 42]] ------------------------------ Epoch 376 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.860951 - Iter 024 / 025, Loss: 0.649851 * Train accuracy / confusion: 67.88% / [[263, 78, 18], [63, 167, 41], [12, 45, 113]], * Val accuracy / confusion: 45.00% / [[112, 31, 87], [41, 33, 101], [9, 17, 89]] ------------------------------ Epoch 377 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.466008 - Iter 024 / 025, Loss: 0.941956 * Train accuracy / confusion: 68.62% / [[277, 62, 15], [84, 151, 33], [21, 36, 121]], * Val accuracy / confusion: 52.69% / [[144, 77, 9], [53, 89, 33], [12, 62, 41]] ------------------------------ Epoch 378 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.720421 - Iter 024 / 025, Loss: 0.535041 * Train accuracy / confusion: 69.75% / [[278, 59, 20], [68, 159, 37], [19, 39, 121]], * Val accuracy / confusion: 53.46% / [[146, 84, 0], [53, 118, 4], [14, 87, 14]] ------------------------------ Epoch 379 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.782065 - Iter 024 / 025, Loss: 0.686185 * Train accuracy / confusion: 65.25% / [[265, 66, 23], [74, 147, 46], [19, 50, 110]], * Val accuracy / confusion: 54.42% / [[162, 37, 31], [75, 55, 45], [18, 31, 66]] ------------------------------ Epoch 380 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.604291 - Iter 024 / 025, Loss: 0.692060 * Train accuracy / confusion: 69.50% / [[282, 61, 12], [76, 155, 39], [18, 38, 119]], * Val accuracy / confusion: 53.08% / [[161, 63, 6], [68, 86, 21], [20, 66, 29]] ------------------------------ Epoch 381 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.755348 - Iter 024 / 025, Loss: 0.699001 * Train accuracy / confusion: 69.50% / [[278, 56, 19], [76, 155, 36], [19, 38, 123]], * Val accuracy / confusion: 52.12% / [[154, 39, 37], [62, 46, 67], [12, 32, 71]] ------------------------------ Epoch 382 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.870376 - Iter 024 / 025, Loss: 0.769412 * Train accuracy / confusion: 68.88% / [[282, 61, 14], [75, 147, 45], [19, 35, 122]], * Val accuracy / confusion: 52.69% / [[173, 18, 39], [81, 27, 67], [24, 17, 74]] ------------------------------ Epoch 383 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.596261 - Iter 024 / 025, Loss: 0.597402 * Train accuracy / confusion: 71.25% / [[293, 49, 19], [75, 158, 34], [22, 31, 119]], * Val accuracy / confusion: 50.19% / [[111, 101, 18], [32, 115, 28], [6, 74, 35]] ------------------------------ Epoch 384 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.897162 - Iter 024 / 025, Loss: 0.607148 * Train accuracy / confusion: 69.50% / [[275, 58, 21], [65, 162, 41], [20, 39, 119]], * Val accuracy / confusion: 53.85% / [[174, 29, 27], [78, 56, 41], [22, 43, 50]] ------------------------------ Epoch 385 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.687527 - Iter 024 / 025, Loss: 0.624000 * Train accuracy / confusion: 70.62% / [[280, 58, 15], [70, 163, 40], [20, 32, 122]], * Val accuracy / confusion: 52.12% / [[150, 80, 0], [62, 95, 18], [17, 72, 26]] ------------------------------ Epoch 386 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.680996 - Iter 024 / 025, Loss: 0.766427 * Train accuracy / confusion: 71.12% / [[292, 44, 18], [73, 157, 38], [17, 41, 120]], * Val accuracy / confusion: 55.77% / [[173, 42, 15], [64, 67, 44], [17, 48, 50]] ------------------------------ Epoch 387 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.722614 - Iter 024 / 025, Loss: 0.820983 * Train accuracy / confusion: 68.25% / [[287, 55, 16], [76, 146, 48], [17, 42, 113]], * Val accuracy / confusion: 55.77% / [[162, 60, 8], [65, 92, 18], [14, 65, 36]] ------------------------------ Epoch 388 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.738496 - Iter 024 / 025, Loss: 0.810572 * Train accuracy / confusion: 70.25% / [[287, 50, 18], [80, 151, 34], [16, 40, 124]], * Val accuracy / confusion: 55.38% / [[172, 46, 12], [66, 71, 38], [23, 47, 45]] ------------------------------ Epoch 389 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.645575 - Iter 024 / 025, Loss: 0.646066 * Train accuracy / confusion: 70.50% / [[284, 52, 21], [77, 152, 43], [14, 29, 128]], * Val accuracy / confusion: 51.92% / [[134, 75, 21], [53, 86, 36], [9, 56, 50]] ------------------------------ Epoch 390 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.629453 - Iter 024 / 025, Loss: 0.651885 * Train accuracy / confusion: 69.50% / [[278, 64, 15], [73, 150, 40], [14, 38, 128]], * Val accuracy / confusion: 55.96% / [[161, 55, 14], [50, 81, 44], [17, 49, 49]] ------------------------------ Epoch 391 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.458333 - Iter 024 / 025, Loss: 0.747965 * Train accuracy / confusion: 67.75% / [[284, 56, 12], [89, 153, 28], [15, 58, 105]], * Val accuracy / confusion: 54.42% / [[165, 55, 10], [72, 70, 33], [18, 49, 48]] ------------------------------ Epoch 392 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.729092 - Iter 024 / 025, Loss: 0.555371 * Train accuracy / confusion: 71.25% / [[295, 46, 15], [85, 142, 37], [16, 31, 133]], * Val accuracy / confusion: 53.65% / [[161, 39, 30], [64, 57, 54], [16, 38, 61]] ------------------------------ Epoch 393 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.540294 - Iter 024 / 025, Loss: 0.642073 * Train accuracy / confusion: 72.50% / [[287, 52, 16], [68, 163, 35], [14, 35, 130]], * Val accuracy / confusion: 51.73% / [[152, 68, 10], [67, 80, 28], [13, 65, 37]] ------------------------------ Epoch 394 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.743778 - Iter 024 / 025, Loss: 0.629785 * Train accuracy / confusion: 71.62% / [[291, 48, 19], [74, 159, 33], [17, 36, 123]], * Val accuracy / confusion: 55.00% / [[145, 66, 19], [53, 84, 38], [16, 42, 57]] ------------------------------ Epoch 395 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.097024 - Iter 024 / 025, Loss: 0.664060 * Train accuracy / confusion: 69.62% / [[280, 56, 20], [66, 154, 46], [15, 40, 123]], * Val accuracy / confusion: 49.23% / [[133, 51, 46], [51, 50, 74], [16, 26, 73]] ------------------------------ Epoch 396 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.618383 - Iter 024 / 025, Loss: 0.575716 * Train accuracy / confusion: 69.38% / [[291, 54, 14], [84, 142, 37], [15, 41, 122]], * Val accuracy / confusion: 54.62% / [[190, 39, 1], [96, 69, 10], [30, 60, 25]] ------------------------------ Epoch 397 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.589087 - Iter 024 / 025, Loss: 0.685110 * Train accuracy / confusion: 69.62% / [[285, 54, 18], [68, 158, 43], [22, 38, 114]], * Val accuracy / confusion: 54.04% / [[153, 68, 9], [65, 95, 15], [12, 70, 33]] ------------------------------ Epoch 398 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.713848 - Iter 024 / 025, Loss: 0.823151 * Train accuracy / confusion: 73.00% / [[302, 46, 14], [69, 166, 31], [17, 39, 116]], * Val accuracy / confusion: 54.62% / [[162, 47, 21], [62, 57, 56], [17, 33, 65]] ------------------------------ Epoch 399 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.741921 - Iter 024 / 025, Loss: 0.513915 * Train accuracy / confusion: 72.38% / [[294, 45, 14], [78, 158, 33], [18, 33, 127]], * Val accuracy / confusion: 51.54% / [[125, 71, 34], [36, 84, 55], [5, 51, 59]] ------------------------------ Epoch 400 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.550802 - Iter 024 / 025, Loss: 0.453458 * Train accuracy / confusion: 70.50% / [[286, 55, 15], [74, 157, 36], [18, 38, 121]], * Val accuracy / confusion: 46.35% / [[68, 120, 42], [19, 128, 28], [0, 70, 45]] ------------------------------ Epoch 401 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.644296 - Iter 024 / 025, Loss: 0.614124 * Train accuracy / confusion: 70.75% / [[285, 52, 18], [74, 158, 36], [18, 36, 123]], * Val accuracy / confusion: 51.92% / [[160, 55, 15], [77, 67, 31], [27, 45, 43]] ------------------------------ Epoch 402 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.789925 - Iter 024 / 025, Loss: 0.816302 * Train accuracy / confusion: 69.38% / [[279, 57, 18], [73, 155, 39], [14, 44, 121]], * Val accuracy / confusion: 51.92% / [[139, 66, 25], [46, 81, 48], [14, 51, 50]] ------------------------------ Epoch 403 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.703542 - Iter 024 / 025, Loss: 0.619722 * Train accuracy / confusion: 71.50% / [[299, 46, 8], [89, 149, 32], [15, 38, 124]], * Val accuracy / confusion: 56.54% / [[172, 53, 5], [72, 87, 16], [22, 58, 35]] ------------------------------ Epoch 404 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.646914 - Iter 024 / 025, Loss: 0.553509 * Train accuracy / confusion: 70.25% / [[287, 51, 18], [70, 160, 38], [18, 43, 115]], * Val accuracy / confusion: 58.27% / [[175, 37, 18], [74, 58, 43], [16, 29, 70]] ------------------------------ Epoch 405 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.653505 - Iter 024 / 025, Loss: 0.630957 * Train accuracy / confusion: 70.75% / [[286, 49, 21], [71, 153, 43], [19, 31, 127]], * Val accuracy / confusion: 52.31% / [[171, 25, 34], [84, 40, 51], [22, 32, 61]] ------------------------------ Epoch 406 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.577099 - Iter 024 / 025, Loss: 0.516432 * Train accuracy / confusion: 69.25% / [[295, 47, 11], [87, 141, 41], [20, 40, 118]], * Val accuracy / confusion: 52.31% / [[148, 55, 27], [52, 78, 45], [17, 52, 46]] ------------------------------ Epoch 407 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.632182 - Iter 024 / 025, Loss: 0.839470 * Train accuracy / confusion: 70.50% / [[283, 51, 23], [72, 161, 32], [17, 41, 120]], * Val accuracy / confusion: 54.42% / [[161, 47, 22], [65, 62, 48], [25, 30, 60]] ------------------------------ Epoch 408 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.921895 - Iter 024 / 025, Loss: 0.837111 * Train accuracy / confusion: 67.50% / [[270, 60, 24], [65, 157, 49], [22, 40, 113]], * Val accuracy / confusion: 53.85% / [[161, 52, 17], [60, 83, 32], [15, 64, 36]] ------------------------------ Epoch 409 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.586544 - Iter 024 / 025, Loss: 0.713828 * Train accuracy / confusion: 71.25% / [[304, 41, 12], [78, 143, 45], [17, 37, 123]], * Val accuracy / confusion: 55.00% / [[153, 69, 8], [54, 100, 21], [13, 69, 33]] ------------------------------ Epoch 410 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.759704 - Iter 024 / 025, Loss: 0.490127 * Train accuracy / confusion: 71.62% / [[285, 58, 12], [69, 167, 30], [17, 41, 121]], * Val accuracy / confusion: 52.50% / [[178, 41, 11], [88, 55, 32], [24, 51, 40]] ------------------------------ Epoch 411 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.583497 - Iter 024 / 025, Loss: 0.728836 * Train accuracy / confusion: 71.62% / [[306, 42, 13], [80, 150, 36], [22, 34, 117]], * Val accuracy / confusion: 55.19% / [[166, 58, 6], [61, 94, 20], [15, 73, 27]] ------------------------------ Epoch 412 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.911593 - Iter 024 / 025, Loss: 0.674736 * Train accuracy / confusion: 69.38% / [[295, 45, 18], [81, 137, 45], [18, 38, 123]], * Val accuracy / confusion: 50.77% / [[146, 84, 0], [64, 95, 16], [17, 75, 23]] ------------------------------ Epoch 413 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.816245 - Iter 024 / 025, Loss: 0.835562 * Train accuracy / confusion: 70.88% / [[298, 48, 10], [88, 153, 26], [25, 36, 116]], * Val accuracy / confusion: 48.46% / [[148, 29, 53], [69, 39, 67], [21, 29, 65]] ------------------------------ Epoch 414 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.660432 - Iter 024 / 025, Loss: 0.669795 * Train accuracy / confusion: 72.12% / [[273, 63, 19], [63, 179, 27], [13, 38, 125]], * Val accuracy / confusion: 54.23% / [[156, 60, 14], [57, 83, 35], [17, 55, 43]] ------------------------------ Epoch 415 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.619653 - Iter 024 / 025, Loss: 0.546093 * Train accuracy / confusion: 70.75% / [[299, 38, 21], [74, 152, 40], [26, 35, 115]], * Val accuracy / confusion: 54.04% / [[178, 47, 5], [95, 78, 2], [36, 54, 25]] ------------------------------ Epoch 416 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.554741 - Iter 024 / 025, Loss: 0.717678 * Train accuracy / confusion: 71.38% / [[284, 59, 13], [61, 172, 33], [24, 39, 115]], * Val accuracy / confusion: 52.12% / [[161, 33, 36], [67, 43, 65], [22, 26, 67]] ------------------------------ Epoch 417 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.824465 - Iter 024 / 025, Loss: 0.807777 * Train accuracy / confusion: 73.25% / [[295, 46, 19], [64, 168, 34], [20, 31, 123]], * Val accuracy / confusion: 54.81% / [[141, 76, 13], [50, 110, 15], [14, 67, 34]] ------------------------------ Epoch 418 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.536665 - Iter 024 / 025, Loss: 0.758672 * Train accuracy / confusion: 70.75% / [[292, 50, 13], [78, 157, 33], [23, 37, 117]], * Val accuracy / confusion: 56.35% / [[152, 50, 28], [60, 89, 26], [13, 50, 52]] ------------------------------ Epoch 419 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.737120 - Iter 024 / 025, Loss: 0.544365 * Train accuracy / confusion: 72.75% / [[291, 46, 20], [68, 159, 38], [11, 35, 132]], * Val accuracy / confusion: 55.58% / [[153, 25, 52], [57, 48, 70], [13, 14, 88]] ------------------------------ Epoch 420 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.777302 - Iter 024 / 025, Loss: 0.777756 * Train accuracy / confusion: 71.62% / [[302, 37, 17], [87, 155, 23], [28, 35, 116]], * Val accuracy / confusion: 53.08% / [[165, 62, 3], [79, 89, 7], [30, 63, 22]] ------------------------------ Epoch 421 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.714039 - Iter 024 / 025, Loss: 0.703240 * Train accuracy / confusion: 72.75% / [[302, 42, 11], [77, 157, 36], [20, 32, 123]], * Val accuracy / confusion: 51.73% / [[142, 43, 45], [46, 61, 68], [11, 38, 66]] ------------------------------ Epoch 422 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.413804 - Iter 024 / 025, Loss: 0.643316 * Train accuracy / confusion: 72.00% / [[280, 49, 24], [70, 168, 33], [18, 30, 128]], * Val accuracy / confusion: 53.46% / [[187, 37, 6], [90, 62, 23], [32, 54, 29]] ------------------------------ Epoch 423 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.719309 - Iter 024 / 025, Loss: 0.593356 * Train accuracy / confusion: 72.62% / [[286, 49, 19], [67, 169, 30], [22, 32, 126]], * Val accuracy / confusion: 56.54% / [[185, 41, 4], [81, 70, 24], [26, 50, 39]] ------------------------------ Epoch 424 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.572126 - Iter 024 / 025, Loss: 0.500988 * Train accuracy / confusion: 73.50% / [[299, 43, 14], [72, 165, 29], [19, 35, 124]], * Val accuracy / confusion: 55.77% / [[145, 55, 30], [53, 82, 40], [11, 41, 63]] ------------------------------ Epoch 425 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.625855 - Iter 024 / 025, Loss: 0.567301 * Train accuracy / confusion: 74.62% / [[292, 48, 14], [63, 174, 33], [13, 32, 131]], * Val accuracy / confusion: 53.27% / [[179, 32, 19], [91, 33, 51], [33, 17, 65]] ------------------------------ Epoch 426 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.634215 - Iter 024 / 025, Loss: 0.839901 * Train accuracy / confusion: 72.75% / [[292, 52, 14], [63, 170, 31], [20, 38, 120]], * Val accuracy / confusion: 54.81% / [[114, 101, 15], [24, 137, 14], [5, 76, 34]] ------------------------------ Epoch 427 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.761354 - Iter 024 / 025, Loss: 0.699925 * Train accuracy / confusion: 73.50% / [[293, 51, 9], [72, 166, 31], [19, 30, 129]], * Val accuracy / confusion: 53.27% / [[157, 46, 27], [64, 64, 47], [19, 40, 56]] ------------------------------ Epoch 428 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.483522 - Iter 024 / 025, Loss: 0.562819 * Train accuracy / confusion: 73.12% / [[301, 44, 13], [72, 161, 36], [11, 39, 123]], * Val accuracy / confusion: 52.88% / [[169, 48, 13], [85, 60, 30], [23, 46, 46]] ------------------------------ Epoch 429 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.582431 - Iter 024 / 025, Loss: 0.844462 * Train accuracy / confusion: 74.38% / [[296, 47, 11], [58, 183, 29], [24, 36, 116]], * Val accuracy / confusion: 50.58% / [[101, 121, 8], [34, 124, 17], [3, 74, 38]] ------------------------------ Epoch 430 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.652789 - Iter 024 / 025, Loss: 0.514166 * Train accuracy / confusion: 72.88% / [[270, 69, 16], [60, 181, 26], [13, 33, 132]], * Val accuracy / confusion: 51.35% / [[179, 32, 19], [101, 33, 41], [35, 25, 55]] ------------------------------ Epoch 431 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.570510 - Iter 024 / 025, Loss: 0.546845 * Train accuracy / confusion: 72.62% / [[302, 49, 9], [78, 155, 30], [17, 36, 124]], * Val accuracy / confusion: 51.15% / [[156, 13, 61], [61, 21, 93], [15, 11, 89]] ------------------------------ Epoch 432 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.637050 - Iter 024 / 025, Loss: 0.612072 * Train accuracy / confusion: 71.62% / [[284, 54, 13], [71, 160, 39], [20, 30, 129]], * Val accuracy / confusion: 55.96% / [[151, 60, 19], [52, 112, 11], [12, 75, 28]] ------------------------------ Epoch 433 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.670221 - Iter 024 / 025, Loss: 0.606378 * Train accuracy / confusion: 74.88% / [[296, 52, 11], [63, 183, 19], [20, 36, 120]], * Val accuracy / confusion: 55.77% / [[187, 25, 18], [87, 32, 56], [26, 18, 71]] ------------------------------ Epoch 434 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.622958 - Iter 024 / 025, Loss: 0.816004 * Train accuracy / confusion: 74.38% / [[288, 45, 19], [59, 180, 32], [21, 29, 127]], * Val accuracy / confusion: 50.00% / [[133, 66, 31], [48, 59, 68], [10, 37, 68]] ------------------------------ Epoch 435 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.759073 - Iter 024 / 025, Loss: 0.561035 * Train accuracy / confusion: 70.38% / [[286, 54, 15], [79, 161, 32], [15, 42, 116]], * Val accuracy / confusion: 54.62% / [[127, 92, 11], [44, 116, 15], [8, 66, 41]] ------------------------------ Epoch 436 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.712900 - Iter 024 / 025, Loss: 0.463699 * Train accuracy / confusion: 73.88% / [[292, 52, 14], [60, 170, 31], [20, 32, 129]], * Val accuracy / confusion: 54.04% / [[157, 62, 11], [59, 95, 21], [13, 73, 29]] ------------------------------ Epoch 437 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.597386 - Iter 024 / 025, Loss: 0.700647 * Train accuracy / confusion: 71.75% / [[290, 53, 13], [76, 151, 41], [12, 31, 133]], * Val accuracy / confusion: 53.46% / [[165, 23, 42], [82, 35, 58], [18, 19, 78]] ------------------------------ Epoch 438 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.034940 - Iter 024 / 025, Loss: 0.557996 * Train accuracy / confusion: 73.50% / [[300, 40, 12], [71, 167, 32], [21, 36, 121]], * Val accuracy / confusion: 49.81% / [[118, 78, 34], [45, 90, 40], [13, 51, 51]] ------------------------------ Epoch 439 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.709293 - Iter 024 / 025, Loss: 0.509438 * Train accuracy / confusion: 76.50% / [[299, 46, 9], [67, 179, 26], [11, 29, 134]], * Val accuracy / confusion: 51.73% / [[179, 33, 18], [93, 40, 42], [30, 35, 50]] ------------------------------ Epoch 440 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.655632 - Iter 024 / 025, Loss: 0.734975 * Train accuracy / confusion: 73.75% / [[286, 58, 11], [60, 173, 35], [17, 29, 131]], * Val accuracy / confusion: 56.15% / [[178, 43, 9], [86, 79, 10], [34, 46, 35]] ------------------------------ Epoch 441 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.897226 - Iter 024 / 025, Loss: 0.484605 * Train accuracy / confusion: 74.00% / [[293, 41, 19], [70, 171, 27], [15, 36, 128]], * Val accuracy / confusion: 48.46% / [[132, 31, 67], [56, 31, 88], [10, 16, 89]] ------------------------------ Epoch 442 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.522670 - Iter 024 / 025, Loss: 0.576318 * Train accuracy / confusion: 73.75% / [[291, 52, 10], [60, 178, 34], [24, 30, 121]], * Val accuracy / confusion: 52.88% / [[173, 47, 10], [82, 65, 28], [26, 52, 37]] ------------------------------ Epoch 443 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.569966 - Iter 024 / 025, Loss: 0.516547 * Train accuracy / confusion: 74.62% / [[293, 51, 8], [71, 174, 26], [15, 32, 130]], * Val accuracy / confusion: 54.62% / [[177, 44, 9], [81, 64, 30], [27, 45, 43]] ------------------------------ Epoch 444 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.522981 - Iter 024 / 025, Loss: 0.557188 * Train accuracy / confusion: 73.38% / [[286, 57, 11], [69, 171, 30], [14, 32, 130]], * Val accuracy / confusion: 55.77% / [[146, 51, 33], [52, 77, 46], [12, 36, 67]] ------------------------------ Epoch 445 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.509276 - Iter 024 / 025, Loss: 0.726847 * Train accuracy / confusion: 70.88% / [[291, 54, 10], [73, 163, 33], [18, 45, 113]], * Val accuracy / confusion: 56.15% / [[158, 68, 4], [60, 103, 12], [12, 72, 31]] ------------------------------ Epoch 446 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.530106 - Iter 024 / 025, Loss: 0.480488 * Train accuracy / confusion: 75.75% / [[291, 49, 15], [55, 183, 31], [19, 25, 132]], * Val accuracy / confusion: 56.35% / [[171, 47, 12], [78, 75, 22], [23, 45, 47]] ------------------------------ Epoch 447 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.422653 - Iter 024 / 025, Loss: 0.553060 * Train accuracy / confusion: 74.88% / [[287, 53, 17], [60, 189, 20], [20, 31, 123]], * Val accuracy / confusion: 55.58% / [[154, 65, 11], [65, 99, 11], [13, 66, 36]] ------------------------------ Epoch 448 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.575509 - Iter 024 / 025, Loss: 0.662155 * Train accuracy / confusion: 72.88% / [[288, 58, 15], [74, 166, 27], [17, 26, 129]], * Val accuracy / confusion: 50.19% / [[128, 58, 44], [54, 66, 55], [6, 42, 67]] ------------------------------ Epoch 449 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.777552 - Iter 024 / 025, Loss: 0.515476 * Train accuracy / confusion: 72.25% / [[291, 50, 17], [66, 164, 35], [22, 32, 123]], * Val accuracy / confusion: 56.73% / [[175, 39, 16], [82, 71, 22], [25, 41, 49]] ------------------------------ Epoch 450 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.640745 - Iter 024 / 025, Loss: 0.472192 * Train accuracy / confusion: 78.25% / [[312, 41, 5], [64, 181, 22], [15, 27, 133]], * Val accuracy / confusion: 49.04% / [[136, 56, 38], [55, 63, 57], [14, 45, 56]] ------------------------------ Epoch 451 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.549901 - Iter 024 / 025, Loss: 0.654441 * Train accuracy / confusion: 73.75% / [[290, 49, 16], [68, 170, 30], [21, 26, 130]], * Val accuracy / confusion: 55.38% / [[177, 32, 21], [83, 59, 33], [27, 36, 52]] ------------------------------ Epoch 452 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.639194 - Iter 024 / 025, Loss: 0.548673 * Train accuracy / confusion: 73.00% / [[288, 59, 13], [57, 172, 32], [23, 32, 124]], * Val accuracy / confusion: 51.73% / [[164, 24, 42], [75, 26, 74], [18, 18, 79]] ------------------------------ Epoch 453 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.455876 - Iter 024 / 025, Loss: 0.636213 * Train accuracy / confusion: 73.88% / [[292, 50, 13], [69, 170, 31], [14, 32, 129]], * Val accuracy / confusion: 55.00% / [[139, 68, 23], [55, 94, 26], [12, 50, 53]] ------------------------------ Epoch 454 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.774848 - Iter 024 / 025, Loss: 0.685185 * Train accuracy / confusion: 75.12% / [[297, 51, 7], [50, 187, 33], [20, 38, 117]], * Val accuracy / confusion: 51.73% / [[168, 57, 5], [84, 73, 18], [32, 55, 28]] ------------------------------ Epoch 455 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.629751 - Iter 024 / 025, Loss: 0.909055 * Train accuracy / confusion: 73.62% / [[295, 43, 17], [59, 176, 35], [24, 33, 118]], * Val accuracy / confusion: 51.15% / [[127, 55, 48], [47, 77, 51], [13, 40, 62]] ------------------------------ Epoch 456 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.366713 - Iter 024 / 025, Loss: 0.667814 * Train accuracy / confusion: 74.12% / [[291, 53, 14], [65, 171, 30], [17, 28, 131]], * Val accuracy / confusion: 53.85% / [[173, 37, 20], [91, 54, 30], [23, 39, 53]] ------------------------------ Epoch 457 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.437748 - Iter 024 / 025, Loss: 0.704396 * Train accuracy / confusion: 74.50% / [[303, 48, 8], [68, 173, 25], [19, 36, 120]], * Val accuracy / confusion: 56.35% / [[161, 63, 6], [69, 95, 11], [22, 56, 37]] ------------------------------ Epoch 458 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.614208 - Iter 024 / 025, Loss: 0.700590 * Train accuracy / confusion: 73.50% / [[291, 54, 11], [71, 169, 27], [17, 32, 128]], * Val accuracy / confusion: 52.69% / [[152, 59, 19], [61, 81, 33], [22, 52, 41]] ------------------------------ Epoch 459 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.538178 - Iter 024 / 025, Loss: 0.550103 * Train accuracy / confusion: 75.50% / [[297, 39, 17], [67, 175, 25], [21, 27, 132]], * Val accuracy / confusion: 53.85% / [[164, 60, 6], [77, 83, 15], [29, 53, 33]] ------------------------------ Epoch 460 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.443460 - Iter 024 / 025, Loss: 0.659996 * Train accuracy / confusion: 74.75% / [[291, 54, 15], [63, 179, 27], [20, 23, 128]], * Val accuracy / confusion: 56.15% / [[144, 69, 17], [52, 107, 16], [17, 57, 41]] ------------------------------ Epoch 461 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.510043 - Iter 024 / 025, Loss: 0.673809 * Train accuracy / confusion: 73.62% / [[288, 53, 13], [67, 175, 30], [20, 28, 126]], * Val accuracy / confusion: 51.73% / [[137, 45, 48], [67, 76, 32], [16, 43, 56]] ------------------------------ Epoch 462 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.489958 - Iter 024 / 025, Loss: 0.433744 * Train accuracy / confusion: 75.25% / [[293, 50, 14], [60, 180, 27], [16, 31, 129]], * Val accuracy / confusion: 54.42% / [[145, 53, 32], [53, 88, 34], [15, 50, 50]] ------------------------------ Epoch 463 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.635380 - Iter 024 / 025, Loss: 0.501422 * Train accuracy / confusion: 75.12% / [[306, 47, 10], [77, 162, 27], [19, 19, 133]], * Val accuracy / confusion: 59.62% / [[188, 34, 8], [84, 75, 16], [23, 45, 47]] ------------------------------ Epoch 464 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.558713 - Iter 024 / 025, Loss: 0.617178 * Train accuracy / confusion: 77.12% / [[298, 52, 11], [62, 189, 16], [15, 27, 130]], * Val accuracy / confusion: 57.88% / [[164, 52, 14], [67, 92, 16], [20, 50, 45]] ------------------------------ Epoch 465 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.640711 - Iter 024 / 025, Loss: 0.781704 * Train accuracy / confusion: 77.00% / [[312, 34, 16], [63, 178, 24], [15, 32, 126]], * Val accuracy / confusion: 55.38% / [[164, 34, 32], [62, 58, 55], [19, 30, 66]] ------------------------------ Epoch 466 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.524766 - Iter 024 / 025, Loss: 0.653070 * Train accuracy / confusion: 74.38% / [[291, 57, 10], [58, 185, 26], [20, 34, 119]], * Val accuracy / confusion: 53.08% / [[143, 74, 13], [63, 101, 11], [16, 67, 32]] ------------------------------ Epoch 467 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.577304 - Iter 024 / 025, Loss: 0.675449 * Train accuracy / confusion: 74.50% / [[294, 51, 12], [54, 176, 37], [17, 33, 126]], * Val accuracy / confusion: 57.50% / [[190, 20, 20], [89, 54, 32], [38, 22, 55]] ------------------------------ Epoch 468 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.515281 - Iter 024 / 025, Loss: 0.699088 * Train accuracy / confusion: 77.00% / [[299, 42, 16], [53, 193, 26], [20, 27, 124]], * Val accuracy / confusion: 55.19% / [[140, 53, 37], [45, 78, 52], [16, 30, 69]] ------------------------------ Epoch 469 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.384718 - Iter 024 / 025, Loss: 0.468461 * Train accuracy / confusion: 76.38% / [[293, 55, 11], [59, 181, 24], [10, 30, 137]], * Val accuracy / confusion: 58.27% / [[189, 21, 20], [90, 47, 38], [26, 22, 67]] ------------------------------ Epoch 470 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.454811 - Iter 024 / 025, Loss: 0.439402 * Train accuracy / confusion: 77.75% / [[307, 38, 12], [64, 182, 25], [10, 29, 133]], * Val accuracy / confusion: 54.42% / [[148, 30, 52], [69, 65, 41], [16, 29, 70]] ------------------------------ Epoch 471 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.446625 - Iter 024 / 025, Loss: 0.629345 * Train accuracy / confusion: 75.88% / [[297, 50, 11], [72, 174, 21], [18, 21, 136]], * Val accuracy / confusion: 54.42% / [[177, 33, 20], [86, 47, 42], [26, 30, 59]] ------------------------------ Epoch 472 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.658194 - Iter 024 / 025, Loss: 0.603341 * Train accuracy / confusion: 74.12% / [[288, 50, 15], [67, 178, 27], [15, 33, 127]], * Val accuracy / confusion: 55.38% / [[175, 43, 12], [85, 76, 14], [30, 48, 37]] ------------------------------ Epoch 473 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.792301 - Iter 024 / 025, Loss: 0.681777 * Train accuracy / confusion: 73.50% / [[281, 56, 18], [59, 181, 29], [17, 33, 126]], * Val accuracy / confusion: 58.08% / [[155, 57, 18], [51, 98, 26], [17, 49, 49]] ------------------------------ Epoch 474 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.754387 - Iter 024 / 025, Loss: 0.458024 * Train accuracy / confusion: 76.62% / [[305, 46, 7], [74, 174, 21], [12, 27, 134]], * Val accuracy / confusion: 54.62% / [[164, 28, 38], [69, 63, 43], [20, 38, 57]] ------------------------------ Epoch 475 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.354170 - Iter 024 / 025, Loss: 0.438880 * Train accuracy / confusion: 77.12% / [[312, 34, 14], [64, 171, 30], [13, 28, 134]], * Val accuracy / confusion: 57.12% / [[149, 62, 19], [55, 112, 8], [15, 64, 36]] ------------------------------ Epoch 476 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.595335 - Iter 024 / 025, Loss: 0.635100 * Train accuracy / confusion: 78.38% / [[309, 41, 6], [53, 188, 25], [15, 33, 130]], * Val accuracy / confusion: 57.31% / [[165, 52, 13], [60, 100, 15], [23, 59, 33]] ------------------------------ Epoch 477 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.541210 - Iter 024 / 025, Loss: 0.503619 * Train accuracy / confusion: 74.88% / [[285, 50, 19], [67, 177, 28], [13, 24, 137]], * Val accuracy / confusion: 52.50% / [[141, 48, 41], [51, 76, 48], [19, 40, 56]] ------------------------------ Epoch 478 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.627188 - Iter 024 / 025, Loss: 0.604602 * Train accuracy / confusion: 77.75% / [[298, 50, 6], [63, 181, 24], [12, 23, 143]], * Val accuracy / confusion: 56.73% / [[149, 65, 16], [59, 106, 10], [17, 58, 40]] ------------------------------ Epoch 479 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.699237 - Iter 024 / 025, Loss: 0.605677 * Train accuracy / confusion: 75.38% / [[298, 53, 8], [61, 179, 26], [20, 29, 126]], * Val accuracy / confusion: 54.04% / [[158, 57, 15], [65, 80, 30], [19, 53, 43]] ------------------------------ Epoch 480 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.308615 - Iter 024 / 025, Loss: 0.701697 * Train accuracy / confusion: 77.62% / [[311, 38, 6], [62, 182, 24], [15, 34, 128]], * Val accuracy / confusion: 54.81% / [[153, 42, 35], [65, 70, 40], [18, 35, 62]] ------------------------------ Epoch 481 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.861800 - Iter 024 / 025, Loss: 0.419390 * Train accuracy / confusion: 75.62% / [[289, 49, 16], [57, 186, 26], [17, 30, 130]], * Val accuracy / confusion: 55.38% / [[181, 33, 16], [94, 58, 23], [27, 39, 49]] ------------------------------ Epoch 482 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.753034 - Iter 024 / 025, Loss: 0.396672 * Train accuracy / confusion: 77.88% / [[301, 41, 12], [59, 180, 28], [11, 26, 142]], * Val accuracy / confusion: 56.35% / [[136, 78, 16], [41, 124, 10], [7, 75, 33]] ------------------------------ Epoch 483 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.495193 - Iter 024 / 025, Loss: 0.479803 * Train accuracy / confusion: 77.75% / [[305, 40, 13], [62, 187, 15], [16, 32, 130]], * Val accuracy / confusion: 52.69% / [[165, 41, 24], [67, 48, 60], [28, 26, 61]] ------------------------------ Epoch 484 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.446682 - Iter 024 / 025, Loss: 0.438013 * Train accuracy / confusion: 76.62% / [[300, 38, 13], [60, 175, 33], [16, 27, 138]], * Val accuracy / confusion: 56.54% / [[161, 59, 10], [57, 97, 21], [16, 63, 36]] ------------------------------ Epoch 485 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.704339 - Iter 024 / 025, Loss: 0.608459 * Train accuracy / confusion: 76.12% / [[280, 47, 26], [46, 186, 36], [9, 27, 143]], * Val accuracy / confusion: 55.96% / [[169, 48, 13], [69, 80, 26], [20, 53, 42]] ------------------------------ Epoch 486 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.513505 - Iter 024 / 025, Loss: 0.466327 * Train accuracy / confusion: 76.75% / [[294, 47, 10], [58, 192, 22], [17, 32, 128]], * Val accuracy / confusion: 57.69% / [[169, 44, 17], [60, 84, 31], [21, 47, 47]] ------------------------------ Epoch 487 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.658792 - Iter 024 / 025, Loss: 0.584473 * Train accuracy / confusion: 77.25% / [[307, 37, 11], [64, 177, 29], [14, 27, 134]], * Val accuracy / confusion: 58.08% / [[152, 60, 18], [53, 105, 17], [16, 54, 45]] ------------------------------ Epoch 488 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.617334 - Iter 024 / 025, Loss: 0.646873 * Train accuracy / confusion: 78.88% / [[304, 35, 20], [53, 189, 22], [17, 22, 138]], * Val accuracy / confusion: 53.27% / [[163, 49, 18], [75, 77, 23], [25, 53, 37]] ------------------------------ Epoch 489 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.599780 - Iter 024 / 025, Loss: 0.528720 * Train accuracy / confusion: 79.62% / [[295, 41, 15], [56, 194, 22], [7, 22, 148]], * Val accuracy / confusion: 58.65% / [[187, 26, 17], [84, 61, 30], [32, 26, 57]] ------------------------------ Epoch 490 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.662051 - Iter 024 / 025, Loss: 0.514791 * Train accuracy / confusion: 76.38% / [[305, 40, 10], [65, 176, 29], [15, 30, 130]], * Val accuracy / confusion: 56.92% / [[156, 57, 17], [59, 97, 19], [23, 49, 43]] ------------------------------ Epoch 491 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.865185 - Iter 024 / 025, Loss: 0.563280 * Train accuracy / confusion: 77.88% / [[292, 45, 16], [57, 193, 21], [13, 25, 138]], * Val accuracy / confusion: 54.42% / [[135, 56, 39], [47, 85, 43], [14, 38, 63]] ------------------------------ Epoch 492 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.834647 - Iter 024 / 025, Loss: 0.576153 * Train accuracy / confusion: 75.25% / [[297, 44, 17], [64, 172, 28], [24, 21, 133]], * Val accuracy / confusion: 55.00% / [[168, 25, 37], [75, 42, 58], [25, 14, 76]] ------------------------------ Epoch 493 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.465200 - Iter 024 / 025, Loss: 0.765125 * Train accuracy / confusion: 75.88% / [[299, 47, 13], [66, 178, 24], [18, 25, 130]], * Val accuracy / confusion: 58.27% / [[158, 50, 22], [55, 89, 31], [16, 43, 56]] ------------------------------ Epoch 494 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.344748 - Iter 024 / 025, Loss: 0.513053 * Train accuracy / confusion: 77.88% / [[295, 42, 19], [58, 189, 23], [14, 21, 139]], * Val accuracy / confusion: 56.54% / [[171, 46, 13], [65, 68, 42], [22, 38, 55]] ------------------------------ Epoch 495 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.536383 - Iter 024 / 025, Loss: 0.349103 * Train accuracy / confusion: 76.62% / [[298, 53, 7], [60, 179, 27], [14, 26, 136]], * Val accuracy / confusion: 57.12% / [[156, 64, 10], [47, 118, 10], [17, 75, 23]] ------------------------------ Epoch 496 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.501147 - Iter 024 / 025, Loss: 0.467835 * Train accuracy / confusion: 79.75% / [[311, 32, 16], [56, 188, 20], [14, 24, 139]], * Val accuracy / confusion: 54.62% / [[159, 42, 29], [54, 69, 52], [23, 36, 56]] ------------------------------ Epoch 497 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.628761 - Iter 024 / 025, Loss: 0.477360 * Train accuracy / confusion: 77.12% / [[303, 33, 14], [73, 178, 23], [21, 19, 136]], * Val accuracy / confusion: 55.38% / [[185, 28, 17], [90, 63, 22], [26, 49, 40]] ------------------------------ Epoch 498 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.357534 - Iter 024 / 025, Loss: 0.435431 * Train accuracy / confusion: 78.62% / [[284, 50, 19], [44, 209, 17], [12, 29, 136]], * Val accuracy / confusion: 59.23% / [[165, 40, 25], [58, 76, 41], [23, 25, 67]] ------------------------------ Epoch 499 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.416097 - Iter 024 / 025, Loss: 0.542678 * Train accuracy / confusion: 79.25% / [[313, 32, 15], [62, 183, 18], [20, 19, 138]], * Val accuracy / confusion: 56.73% / [[175, 41, 14], [72, 69, 34], [31, 33, 51]] ------------------------------ Epoch 500 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.761706 - Iter 024 / 025, Loss: 0.712888 * Train accuracy / confusion: 76.12% / [[306, 43, 10], [63, 177, 25], [21, 29, 126]], * Val accuracy / confusion: 60.96% / [[175, 48, 7], [52, 111, 12], [24, 60, 31]] ------------------------------ Epoch 501 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.629988 - Iter 024 / 025, Loss: 0.816845 * Train accuracy / confusion: 78.88% / [[302, 44, 15], [51, 192, 18], [17, 24, 137]], * Val accuracy / confusion: 58.27% / [[166, 44, 20], [70, 82, 23], [23, 37, 55]] ------------------------------ Epoch 502 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.717956 - Iter 024 / 025, Loss: 0.759710 * Train accuracy / confusion: 80.62% / [[313, 38, 5], [59, 189, 21], [16, 16, 143]], * Val accuracy / confusion: 57.12% / [[156, 39, 35], [61, 85, 29], [21, 38, 56]] ------------------------------ Epoch 503 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.592216 - Iter 024 / 025, Loss: 0.499527 * Train accuracy / confusion: 80.38% / [[302, 42, 10], [56, 197, 15], [7, 27, 144]], * Val accuracy / confusion: 59.42% / [[159, 57, 14], [44, 103, 28], [14, 54, 47]] ------------------------------ Epoch 504 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.378423 - Iter 024 / 025, Loss: 0.648202 * Train accuracy / confusion: 80.62% / [[312, 36, 10], [48, 193, 26], [14, 21, 140]], * Val accuracy / confusion: 55.58% / [[186, 17, 27], [106, 43, 26], [32, 23, 60]] ------------------------------ Epoch 505 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.447567 - Iter 024 / 025, Loss: 0.741182 * Train accuracy / confusion: 77.38% / [[291, 48, 20], [54, 190, 21], [6, 32, 138]], * Val accuracy / confusion: 59.81% / [[158, 58, 14], [53, 109, 13], [17, 54, 44]] ------------------------------ Epoch 506 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.425083 - Iter 024 / 025, Loss: 0.380018 * Train accuracy / confusion: 79.50% / [[307, 40, 10], [53, 188, 22], [17, 22, 141]], * Val accuracy / confusion: 55.00% / [[160, 46, 24], [67, 69, 39], [25, 33, 57]] ------------------------------ Epoch 507 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.327508 - Iter 024 / 025, Loss: 0.737875 * Train accuracy / confusion: 78.50% / [[303, 47, 7], [51, 192, 26], [14, 27, 133]], * Val accuracy / confusion: 55.00% / [[121, 95, 14], [26, 134, 15], [4, 80, 31]] ------------------------------ Epoch 508 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.443001 - Iter 024 / 025, Loss: 0.471379 * Train accuracy / confusion: 80.75% / [[313, 37, 7], [56, 200, 19], [13, 22, 133]], * Val accuracy / confusion: 54.81% / [[182, 28, 20], [88, 46, 41], [27, 31, 57]] ------------------------------ Epoch 509 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.391968 - Iter 024 / 025, Loss: 0.678454 * Train accuracy / confusion: 80.62% / [[325, 29, 6], [63, 183, 19], [10, 28, 137]], * Val accuracy / confusion: 57.88% / [[164, 32, 34], [70, 72, 33], [19, 31, 65]] ------------------------------ Epoch 510 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.809331 - Iter 024 / 025, Loss: 0.572976 * Train accuracy / confusion: 78.00% / [[303, 41, 14], [56, 183, 27], [15, 23, 138]], * Val accuracy / confusion: 59.42% / [[169, 48, 13], [63, 94, 18], [23, 46, 46]] ------------------------------ Epoch 511 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.667060 - Iter 024 / 025, Loss: 0.499696 * Train accuracy / confusion: 78.38% / [[310, 32, 17], [54, 187, 24], [11, 35, 130]], * Val accuracy / confusion: 53.46% / [[145, 37, 48], [57, 56, 62], [12, 26, 77]] ------------------------------ Epoch 512 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.540755 - Iter 024 / 025, Loss: 0.522127 * Train accuracy / confusion: 81.75% / [[309, 36, 9], [56, 196, 15], [10, 20, 149]], * Val accuracy / confusion: 59.23% / [[193, 22, 15], [86, 60, 29], [31, 29, 55]] ------------------------------ Epoch 513 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.336562 - Iter 024 / 025, Loss: 0.544329 * Train accuracy / confusion: 81.12% / [[312, 35, 9], [57, 188, 23], [12, 15, 149]], * Val accuracy / confusion: 59.04% / [[146, 64, 20], [53, 110, 12], [10, 54, 51]] ------------------------------ Epoch 514 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.453193 - Iter 024 / 025, Loss: 0.482419 * Train accuracy / confusion: 80.00% / [[301, 43, 13], [40, 203, 22], [9, 33, 136]], * Val accuracy / confusion: 55.77% / [[160, 45, 25], [54, 84, 37], [24, 45, 46]] ------------------------------ Epoch 515 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.506882 - Iter 024 / 025, Loss: 0.492700 * Train accuracy / confusion: 80.38% / [[308, 36, 14], [57, 187, 21], [10, 19, 148]], * Val accuracy / confusion: 56.35% / [[176, 40, 14], [66, 88, 21], [24, 62, 29]] ------------------------------ Epoch 516 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.521696 - Iter 024 / 025, Loss: 0.552295 * Train accuracy / confusion: 80.38% / [[314, 31, 13], [63, 190, 14], [11, 25, 139]], * Val accuracy / confusion: 57.88% / [[174, 39, 17], [68, 69, 38], [21, 36, 58]] ------------------------------ Epoch 517 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.435509 - Iter 024 / 025, Loss: 0.455594 * Train accuracy / confusion: 80.38% / [[306, 41, 7], [48, 195, 23], [17, 21, 142]], * Val accuracy / confusion: 52.69% / [[135, 55, 40], [48, 90, 37], [16, 50, 49]] ------------------------------ Epoch 518 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.521940 - Iter 024 / 025, Loss: 0.477275 * Train accuracy / confusion: 80.62% / [[322, 26, 9], [59, 184, 26], [12, 23, 139]], * Val accuracy / confusion: 58.85% / [[162, 39, 29], [56, 85, 34], [16, 40, 59]] ------------------------------ Epoch 519 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.667274 - Iter 024 / 025, Loss: 0.448243 * Train accuracy / confusion: 80.25% / [[306, 38, 13], [48, 200, 20], [14, 25, 136]], * Val accuracy / confusion: 56.73% / [[153, 42, 35], [57, 80, 38], [13, 40, 62]] ------------------------------ Epoch 520 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.419566 - Iter 024 / 025, Loss: 0.336264 * Train accuracy / confusion: 81.25% / [[304, 42, 9], [52, 196, 19], [11, 17, 150]], * Val accuracy / confusion: 54.62% / [[162, 41, 27], [42, 73, 60], [13, 53, 49]] ------------------------------ Epoch 521 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.330675 - Iter 024 / 025, Loss: 0.488524 * Train accuracy / confusion: 80.00% / [[308, 35, 10], [64, 191, 14], [11, 26, 141]], * Val accuracy / confusion: 56.54% / [[136, 71, 23], [44, 117, 14], [8, 66, 41]] ------------------------------ Epoch 522 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.428640 - Iter 024 / 025, Loss: 0.262862 * Train accuracy / confusion: 80.12% / [[303, 40, 14], [48, 193, 28], [4, 25, 145]], * Val accuracy / confusion: 58.85% / [[166, 44, 20], [65, 93, 17], [20, 48, 47]] ------------------------------ Epoch 523 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.747746 - Iter 024 / 025, Loss: 0.454609 * Train accuracy / confusion: 80.38% / [[318, 31, 8], [53, 194, 20], [13, 32, 131]], * Val accuracy / confusion: 57.12% / [[194, 24, 12], [85, 55, 35], [37, 30, 48]] ------------------------------ Epoch 524 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.662167 - Iter 024 / 025, Loss: 0.679919 * Train accuracy / confusion: 81.50% / [[309, 35, 13], [45, 197, 22], [11, 22, 146]], * Val accuracy / confusion: 52.69% / [[121, 81, 28], [33, 108, 34], [5, 65, 45]] ------------------------------ Epoch 525 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.434139 - Iter 024 / 025, Loss: 0.778694 * Train accuracy / confusion: 79.38% / [[305, 34, 15], [57, 191, 21], [11, 27, 139]], * Val accuracy / confusion: 56.73% / [[185, 21, 24], [86, 51, 38], [30, 26, 59]] ------------------------------ Epoch 526 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.533800 - Iter 024 / 025, Loss: 0.623426 * Train accuracy / confusion: 81.00% / [[313, 36, 10], [49, 199, 18], [11, 28, 136]], * Val accuracy / confusion: 58.46% / [[156, 55, 19], [47, 118, 10], [15, 70, 30]] ------------------------------ Epoch 527 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.500072 - Iter 024 / 025, Loss: 0.574299 * Train accuracy / confusion: 81.75% / [[311, 40, 7], [56, 198, 15], [11, 17, 145]], * Val accuracy / confusion: 57.31% / [[183, 37, 10], [68, 77, 30], [28, 49, 38]] ------------------------------ Epoch 528 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.391216 - Iter 024 / 025, Loss: 0.289296 * Train accuracy / confusion: 80.88% / [[306, 39, 11], [48, 205, 18], [14, 23, 136]], * Val accuracy / confusion: 56.15% / [[178, 37, 15], [78, 64, 33], [26, 39, 50]] ------------------------------ Epoch 529 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.406350 - Iter 024 / 025, Loss: 0.585834 * Train accuracy / confusion: 80.88% / [[317, 30, 13], [47, 193, 25], [12, 26, 137]], * Val accuracy / confusion: 58.46% / [[133, 58, 39], [32, 109, 34], [2, 51, 62]] ------------------------------ Epoch 530 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.307471 - Iter 024 / 025, Loss: 0.605430 * Train accuracy / confusion: 82.12% / [[318, 30, 11], [49, 200, 20], [15, 18, 139]], * Val accuracy / confusion: 59.04% / [[156, 42, 32], [48, 92, 35], [15, 41, 59]] ------------------------------ Epoch 531 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.400946 - Iter 024 / 025, Loss: 0.508199 * Train accuracy / confusion: 81.38% / [[313, 38, 9], [47, 202, 14], [18, 23, 136]], * Val accuracy / confusion: 58.65% / [[176, 45, 9], [78, 83, 14], [23, 46, 46]] ------------------------------ Epoch 532 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.428960 - Iter 024 / 025, Loss: 0.287459 * Train accuracy / confusion: 81.25% / [[320, 32, 7], [52, 188, 26], [14, 19, 142]], * Val accuracy / confusion: 64.62% / [[184, 35, 11], [66, 98, 11], [24, 37, 54]] ------------------------------ Epoch 533 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.242253 - Iter 024 / 025, Loss: 0.653313 * Train accuracy / confusion: 81.25% / [[299, 43, 11], [44, 203, 21], [6, 25, 148]], * Val accuracy / confusion: 59.04% / [[151, 53, 26], [49, 89, 37], [14, 34, 67]] ------------------------------ Epoch 534 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.600261 - Iter 024 / 025, Loss: 0.318664 * Train accuracy / confusion: 84.25% / [[311, 40, 7], [35, 213, 19], [11, 14, 150]], * Val accuracy / confusion: 56.92% / [[147, 57, 26], [40, 115, 20], [16, 65, 34]] ------------------------------ Epoch 535 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.468031 - Iter 024 / 025, Loss: 0.417033 * Train accuracy / confusion: 83.12% / [[314, 28, 12], [55, 203, 14], [12, 14, 148]], * Val accuracy / confusion: 57.88% / [[186, 21, 23], [77, 68, 30], [35, 33, 47]] ------------------------------ Epoch 536 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.628870 - Iter 024 / 025, Loss: 0.262482 * Train accuracy / confusion: 81.12% / [[312, 35, 8], [50, 200, 17], [13, 28, 137]], * Val accuracy / confusion: 56.15% / [[139, 73, 18], [40, 117, 18], [14, 65, 36]] ------------------------------ Epoch 537 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.535095 - Iter 024 / 025, Loss: 0.437122 * Train accuracy / confusion: 83.25% / [[310, 35, 10], [38, 208, 22], [6, 23, 148]], * Val accuracy / confusion: 56.15% / [[151, 69, 10], [57, 96, 22], [17, 53, 45]] ------------------------------ Epoch 538 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.393176 - Iter 024 / 025, Loss: 0.380923 * Train accuracy / confusion: 82.00% / [[320, 32, 4], [59, 192, 20], [6, 23, 144]], * Val accuracy / confusion: 56.92% / [[153, 26, 51], [51, 83, 41], [19, 36, 60]] ------------------------------ Epoch 539 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.485641 - Iter 024 / 025, Loss: 0.475106 * Train accuracy / confusion: 81.38% / [[297, 46, 10], [40, 211, 18], [9, 26, 143]], * Val accuracy / confusion: 54.23% / [[172, 23, 35], [78, 51, 46], [30, 26, 59]] ------------------------------ Epoch 540 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.594899 - Iter 024 / 025, Loss: 0.375600 * Train accuracy / confusion: 79.38% / [[314, 32, 9], [51, 190, 28], [20, 25, 131]], * Val accuracy / confusion: 58.85% / [[183, 36, 11], [69, 84, 22], [31, 45, 39]] ------------------------------ Epoch 541 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.339917 - Iter 024 / 025, Loss: 0.472219 * Train accuracy / confusion: 79.75% / [[307, 38, 9], [45, 190, 32], [12, 26, 141]], * Val accuracy / confusion: 58.85% / [[183, 37, 10], [66, 102, 7], [32, 62, 21]] ------------------------------ Epoch 542 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.797257 - Iter 024 / 025, Loss: 0.288131 * Train accuracy / confusion: 81.12% / [[311, 32, 12], [47, 200, 21], [10, 29, 138]], * Val accuracy / confusion: 59.81% / [[158, 54, 18], [49, 86, 40], [18, 30, 67]] ------------------------------ Epoch 543 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.724007 - Iter 024 / 025, Loss: 0.363334 * Train accuracy / confusion: 83.00% / [[320, 27, 8], [51, 198, 19], [20, 11, 146]], * Val accuracy / confusion: 59.42% / [[159, 56, 15], [57, 112, 6], [21, 56, 38]] ------------------------------ Epoch 544 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.297483 - Iter 024 / 025, Loss: 0.408430 * Train accuracy / confusion: 83.38% / [[319, 32, 8], [46, 201, 17], [15, 15, 147]], * Val accuracy / confusion: 58.65% / [[171, 42, 17], [64, 83, 28], [27, 37, 51]] ------------------------------ Epoch 545 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.561072 - Iter 024 / 025, Loss: 0.374792 * Train accuracy / confusion: 84.00% / [[317, 32, 8], [41, 210, 16], [12, 19, 145]], * Val accuracy / confusion: 53.46% / [[138, 59, 33], [48, 81, 46], [24, 32, 59]] ------------------------------ Epoch 546 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.440122 - Iter 024 / 025, Loss: 0.343494 * Train accuracy / confusion: 83.38% / [[319, 25, 10], [48, 207, 16], [11, 23, 141]], * Val accuracy / confusion: 59.23% / [[180, 26, 24], [71, 65, 39], [22, 30, 63]] ------------------------------ Epoch 547 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.449881 - Iter 024 / 025, Loss: 0.532743 * Train accuracy / confusion: 84.38% / [[319, 31, 10], [38, 208, 21], [8, 17, 148]], * Val accuracy / confusion: 58.85% / [[152, 50, 28], [57, 100, 18], [18, 43, 54]] ------------------------------ Epoch 548 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.518640 - Iter 024 / 025, Loss: 0.592272 * Train accuracy / confusion: 81.88% / [[314, 30, 10], [55, 193, 18], [12, 20, 148]], * Val accuracy / confusion: 57.31% / [[142, 69, 19], [49, 111, 15], [16, 54, 45]] ------------------------------ Epoch 549 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.385934 - Iter 024 / 025, Loss: 0.429089 * Train accuracy / confusion: 83.25% / [[322, 31, 6], [44, 201, 24], [3, 26, 143]], * Val accuracy / confusion: 57.31% / [[177, 29, 24], [76, 55, 44], [30, 19, 66]] ------------------------------ Epoch 550 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.419975 - Iter 024 / 025, Loss: 0.523214 * Train accuracy / confusion: 85.00% / [[324, 25, 6], [39, 205, 26], [10, 14, 151]], * Val accuracy / confusion: 58.08% / [[168, 48, 14], [74, 84, 17], [26, 39, 50]] ------------------------------ Epoch 551 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.519829 - Iter 024 / 025, Loss: 0.549004 * Train accuracy / confusion: 81.75% / [[303, 34, 17], [42, 213, 16], [12, 25, 138]], * Val accuracy / confusion: 55.77% / [[138, 50, 42], [39, 88, 48], [14, 37, 64]] ------------------------------ Epoch 552 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.418662 - Iter 024 / 025, Loss: 0.534521 * Train accuracy / confusion: 83.25% / [[318, 33, 12], [46, 205, 13], [15, 15, 143]], * Val accuracy / confusion: 56.92% / [[152, 43, 35], [57, 95, 23], [18, 48, 49]] ------------------------------ Epoch 553 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.333560 - Iter 024 / 025, Loss: 0.606992 * Train accuracy / confusion: 83.75% / [[319, 28, 7], [50, 201, 15], [13, 17, 150]], * Val accuracy / confusion: 57.69% / [[163, 53, 14], [73, 85, 17], [30, 33, 52]] ------------------------------ Epoch 554 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.184362 - Iter 024 / 025, Loss: 0.640540 * Train accuracy / confusion: 85.25% / [[328, 25, 8], [40, 206, 17], [16, 12, 148]], * Val accuracy / confusion: 58.27% / [[172, 34, 24], [71, 80, 24], [25, 39, 51]] ------------------------------ Epoch 555 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.304567 - Iter 024 / 025, Loss: 0.240011 * Train accuracy / confusion: 83.75% / [[324, 27, 9], [42, 209, 15], [14, 23, 137]], * Val accuracy / confusion: 59.04% / [[150, 55, 25], [47, 108, 20], [17, 49, 49]] ------------------------------ Epoch 556 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.488469 - Iter 024 / 025, Loss: 0.433618 * Train accuracy / confusion: 82.25% / [[318, 30, 9], [55, 194, 17], [17, 14, 146]], * Val accuracy / confusion: 53.65% / [[142, 55, 33], [66, 84, 25], [27, 35, 53]] ------------------------------ Epoch 557 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.466911 - Iter 024 / 025, Loss: 0.483356 * Train accuracy / confusion: 83.88% / [[309, 34, 11], [37, 219, 15], [7, 25, 143]], * Val accuracy / confusion: 55.00% / [[169, 26, 35], [81, 47, 47], [21, 24, 70]] ------------------------------ Epoch 558 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.600639 - Iter 024 / 025, Loss: 0.404049 * Train accuracy / confusion: 82.25% / [[307, 35, 11], [44, 208, 19], [15, 18, 143]], * Val accuracy / confusion: 53.65% / [[150, 53, 27], [59, 84, 32], [18, 52, 45]] ------------------------------ Epoch 559 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.256560 - Iter 024 / 025, Loss: 0.355127 * Train accuracy / confusion: 84.50% / [[326, 20, 8], [39, 213, 17], [11, 29, 137]], * Val accuracy / confusion: 58.46% / [[153, 58, 19], [42, 91, 42], [22, 33, 60]] ------------------------------ Epoch 560 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.195984 - Iter 024 / 025, Loss: 0.244976 * Train accuracy / confusion: 84.75% / [[323, 27, 7], [34, 212, 23], [18, 13, 143]], * Val accuracy / confusion: 57.88% / [[147, 63, 20], [47, 96, 32], [19, 38, 58]] ------------------------------ Epoch 561 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.390174 - Iter 024 / 025, Loss: 0.386152 * Train accuracy / confusion: 82.88% / [[309, 40, 6], [52, 203, 15], [7, 17, 151]], * Val accuracy / confusion: 55.77% / [[160, 47, 23], [69, 87, 19], [18, 54, 43]] ------------------------------ Epoch 562 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.469877 - Iter 024 / 025, Loss: 0.380047 * Train accuracy / confusion: 83.12% / [[320, 29, 9], [52, 199, 19], [8, 18, 146]], * Val accuracy / confusion: 60.19% / [[143, 70, 17], [39, 113, 23], [10, 48, 57]] ------------------------------ Epoch 563 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.483781 - Iter 024 / 025, Loss: 0.289467 * Train accuracy / confusion: 83.12% / [[303, 34, 15], [39, 207, 23], [11, 13, 155]], * Val accuracy / confusion: 50.38% / [[117, 81, 32], [34, 98, 43], [15, 53, 47]] ------------------------------ Epoch 564 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.500482 - Iter 024 / 025, Loss: 0.476251 * Train accuracy / confusion: 82.00% / [[316, 35, 7], [54, 196, 17], [13, 18, 144]], * Val accuracy / confusion: 60.00% / [[166, 31, 33], [46, 88, 41], [20, 37, 58]] ------------------------------ Epoch 565 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.424448 - Iter 024 / 025, Loss: 0.283525 * Train accuracy / confusion: 85.75% / [[316, 28, 10], [35, 219, 18], [10, 13, 151]], * Val accuracy / confusion: 55.96% / [[155, 39, 36], [58, 75, 42], [14, 40, 61]] ------------------------------ Epoch 566 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.633464 - Iter 024 / 025, Loss: 0.234764 * Train accuracy / confusion: 85.12% / [[324, 26, 4], [36, 209, 21], [13, 19, 148]], * Val accuracy / confusion: 59.81% / [[178, 37, 15], [66, 86, 23], [27, 41, 47]] ------------------------------ Epoch 567 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.309915 - Iter 024 / 025, Loss: 0.246810 * Train accuracy / confusion: 86.75% / [[332, 20, 6], [36, 214, 15], [10, 19, 148]], * Val accuracy / confusion: 59.23% / [[159, 53, 18], [47, 107, 21], [16, 57, 42]] ------------------------------ Epoch 568 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.450971 - Iter 024 / 025, Loss: 0.573699 * Train accuracy / confusion: 84.38% / [[310, 35, 10], [39, 209, 18], [7, 16, 156]], * Val accuracy / confusion: 57.31% / [[171, 46, 13], [72, 87, 16], [28, 47, 40]] ------------------------------ Epoch 569 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.623140 - Iter 024 / 025, Loss: 0.253615 * Train accuracy / confusion: 86.25% / [[321, 29, 5], [37, 217, 15], [6, 18, 152]], * Val accuracy / confusion: 54.04% / [[168, 41, 21], [81, 72, 22], [28, 46, 41]] ------------------------------ Epoch 570 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.307943 - Iter 024 / 025, Loss: 0.329154 * Train accuracy / confusion: 86.00% / [[322, 28, 7], [38, 212, 17], [6, 16, 154]], * Val accuracy / confusion: 59.04% / [[161, 51, 18], [49, 113, 13], [24, 58, 33]] ------------------------------ Epoch 571 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.275363 - Iter 024 / 025, Loss: 0.365121 * Train accuracy / confusion: 84.25% / [[311, 28, 14], [36, 213, 21], [15, 12, 150]], * Val accuracy / confusion: 52.31% / [[147, 29, 54], [52, 54, 69], [19, 25, 71]] ------------------------------ Epoch 572 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.685323 - Iter 024 / 025, Loss: 0.469085 * Train accuracy / confusion: 83.50% / [[320, 21, 12], [49, 207, 14], [19, 17, 141]], * Val accuracy / confusion: 56.54% / [[147, 47, 36], [49, 101, 25], [16, 53, 46]] ------------------------------ Epoch 573 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.321035 - Iter 024 / 025, Loss: 0.241144 * Train accuracy / confusion: 84.88% / [[313, 29, 11], [50, 203, 16], [4, 11, 163]], * Val accuracy / confusion: 57.50% / [[195, 19, 16], [85, 70, 20], [37, 44, 34]] ------------------------------ Epoch 574 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.275403 - Iter 024 / 025, Loss: 0.228888 * Train accuracy / confusion: 85.25% / [[318, 29, 7], [44, 222, 6], [12, 20, 142]], * Val accuracy / confusion: 58.08% / [[148, 54, 28], [38, 107, 30], [15, 53, 47]] ------------------------------ Epoch 575 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.252566 - Iter 024 / 025, Loss: 0.685255 * Train accuracy / confusion: 86.25% / [[327, 24, 5], [38, 210, 20], [7, 16, 153]], * Val accuracy / confusion: 57.50% / [[165, 39, 26], [66, 83, 26], [27, 37, 51]] ------------------------------ Epoch 576 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.270172 - Iter 024 / 025, Loss: 0.440746 * Train accuracy / confusion: 84.38% / [[320, 28, 6], [35, 206, 25], [16, 15, 149]], * Val accuracy / confusion: 59.23% / [[178, 42, 10], [67, 89, 19], [29, 45, 41]] ------------------------------ Epoch 577 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.470397 - Iter 024 / 025, Loss: 0.440458 * Train accuracy / confusion: 85.50% / [[320, 34, 3], [41, 216, 11], [7, 20, 148]], * Val accuracy / confusion: 58.85% / [[150, 52, 28], [53, 105, 17], [25, 39, 51]] ------------------------------ Epoch 578 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.504358 - Iter 024 / 025, Loss: 0.208489 * Train accuracy / confusion: 85.12% / [[326, 22, 11], [50, 202, 15], [7, 14, 153]], * Val accuracy / confusion: 59.04% / [[166, 38, 26], [57, 80, 38], [20, 34, 61]] ------------------------------ Epoch 579 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.289006 - Iter 024 / 025, Loss: 0.259723 * Train accuracy / confusion: 86.12% / [[327, 21, 13], [33, 215, 14], [12, 18, 147]], * Val accuracy / confusion: 60.38% / [[171, 53, 6], [50, 112, 13], [23, 61, 31]] ------------------------------ Epoch 580 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.336589 - Iter 024 / 025, Loss: 0.379995 * Train accuracy / confusion: 85.00% / [[321, 30, 3], [42, 208, 18], [12, 15, 151]], * Val accuracy / confusion: 57.88% / [[153, 46, 31], [48, 80, 47], [18, 29, 68]] ------------------------------ Epoch 581 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.231478 - Iter 024 / 025, Loss: 0.321370 * Train accuracy / confusion: 86.62% / [[322, 24, 12], [34, 215, 14], [12, 11, 156]], * Val accuracy / confusion: 57.50% / [[159, 43, 28], [51, 87, 37], [27, 35, 53]] ------------------------------ Epoch 582 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.376200 - Iter 024 / 025, Loss: 0.376627 * Train accuracy / confusion: 86.50% / [[332, 25, 4], [37, 210, 19], [9, 14, 150]], * Val accuracy / confusion: 52.88% / [[155, 31, 44], [50, 66, 59], [18, 43, 54]] ------------------------------ Epoch 583 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.447778 - Iter 024 / 025, Loss: 0.284375 * Train accuracy / confusion: 83.62% / [[314, 32, 8], [53, 202, 13], [13, 12, 153]], * Val accuracy / confusion: 53.85% / [[141, 52, 37], [53, 82, 40], [18, 40, 57]] ------------------------------ Epoch 584 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.568839 - Iter 024 / 025, Loss: 0.250147 * Train accuracy / confusion: 84.75% / [[313, 37, 9], [34, 211, 20], [11, 11, 154]], * Val accuracy / confusion: 57.88% / [[148, 55, 27], [45, 104, 26], [26, 40, 49]] ------------------------------ Epoch 585 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.158563 - Iter 024 / 025, Loss: 0.326508 * Train accuracy / confusion: 85.38% / [[322, 22, 9], [46, 204, 17], [8, 15, 157]], * Val accuracy / confusion: 59.04% / [[170, 46, 14], [49, 89, 37], [31, 36, 48]] ------------------------------ Epoch 586 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.359894 - Iter 024 / 025, Loss: 0.378530 * Train accuracy / confusion: 85.62% / [[325, 27, 5], [39, 213, 14], [15, 15, 147]], * Val accuracy / confusion: 59.62% / [[154, 61, 15], [57, 102, 16], [20, 41, 54]] ------------------------------ Epoch 587 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.543323 - Iter 024 / 025, Loss: 0.572484 * Train accuracy / confusion: 85.38% / [[319, 32, 11], [37, 210, 15], [8, 14, 154]], * Val accuracy / confusion: 55.77% / [[166, 34, 30], [74, 72, 29], [30, 33, 52]] ------------------------------ Epoch 588 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.389520 - Iter 024 / 025, Loss: 0.385495 * Train accuracy / confusion: 86.00% / [[321, 29, 5], [43, 210, 17], [8, 10, 157]], * Val accuracy / confusion: 58.46% / [[154, 49, 27], [51, 97, 27], [26, 36, 53]] ------------------------------ Epoch 589 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.337636 - Iter 024 / 025, Loss: 0.327368 * Train accuracy / confusion: 86.88% / [[325, 25, 8], [27, 227, 13], [9, 23, 143]], * Val accuracy / confusion: 55.58% / [[172, 30, 28], [73, 50, 52], [32, 16, 67]] ------------------------------ Epoch 590 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.237953 - Iter 024 / 025, Loss: 0.491462 * Train accuracy / confusion: 87.50% / [[319, 25, 8], [35, 221, 12], [7, 13, 160]], * Val accuracy / confusion: 58.08% / [[177, 41, 12], [75, 92, 8], [33, 49, 33]] ------------------------------ Epoch 591 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.347196 - Iter 024 / 025, Loss: 0.368383 * Train accuracy / confusion: 86.50% / [[328, 21, 8], [34, 209, 22], [10, 13, 155]], * Val accuracy / confusion: 58.46% / [[158, 46, 26], [54, 96, 25], [12, 53, 50]] ------------------------------ Epoch 592 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.270878 - Iter 024 / 025, Loss: 0.455109 * Train accuracy / confusion: 85.75% / [[316, 32, 7], [43, 214, 9], [11, 12, 156]], * Val accuracy / confusion: 58.46% / [[162, 54, 14], [60, 87, 28], [23, 37, 55]] ------------------------------ Epoch 593 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.239144 - Iter 024 / 025, Loss: 0.544587 * Train accuracy / confusion: 85.00% / [[318, 26, 13], [36, 204, 27], [6, 12, 158]], * Val accuracy / confusion: 57.88% / [[177, 40, 13], [68, 80, 27], [35, 36, 44]] ------------------------------ Epoch 594 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.219819 - Iter 024 / 025, Loss: 0.290263 * Train accuracy / confusion: 85.88% / [[329, 24, 8], [35, 212, 18], [8, 20, 146]], * Val accuracy / confusion: 58.27% / [[154, 31, 45], [54, 83, 38], [18, 31, 66]] ------------------------------ Epoch 595 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.340550 - Iter 024 / 025, Loss: 0.292376 * Train accuracy / confusion: 85.25% / [[310, 35, 8], [29, 221, 19], [12, 15, 151]], * Val accuracy / confusion: 56.92% / [[168, 25, 37], [58, 77, 40], [23, 41, 51]] ------------------------------ Epoch 596 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.289832 - Iter 024 / 025, Loss: 0.362073 * Train accuracy / confusion: 88.00% / [[325, 22, 8], [39, 217, 9], [6, 12, 162]], * Val accuracy / confusion: 60.96% / [[158, 49, 23], [44, 98, 33], [16, 38, 61]] ------------------------------ Epoch 597 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.358753 - Iter 024 / 025, Loss: 0.245611 * Train accuracy / confusion: 87.38% / [[320, 23, 10], [38, 217, 12], [9, 9, 162]], * Val accuracy / confusion: 58.08% / [[154, 58, 18], [69, 95, 11], [19, 43, 53]] ------------------------------ Epoch 598 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.173594 - Iter 024 / 025, Loss: 0.279874 * Train accuracy / confusion: 88.62% / [[330, 22, 10], [26, 224, 14], [8, 11, 155]], * Val accuracy / confusion: 53.08% / [[122, 73, 35], [45, 99, 31], [13, 47, 55]] ------------------------------ Epoch 599 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.488276 - Iter 024 / 025, Loss: 0.573627 * Train accuracy / confusion: 84.88% / [[317, 33, 9], [37, 211, 18], [9, 15, 151]], * Val accuracy / confusion: 59.81% / [[172, 41, 17], [70, 89, 16], [33, 32, 50]] ------------------------------ Epoch 600 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.172664 - Iter 024 / 025, Loss: 0.252261 * Train accuracy / confusion: 87.88% / [[324, 22, 9], [32, 225, 11], [7, 16, 154]], * Val accuracy / confusion: 57.88% / [[178, 25, 27], [75, 66, 34], [30, 28, 57]] ------------------------------ Epoch 601 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.309323 - Iter 024 / 025, Loss: 0.485750 * Train accuracy / confusion: 88.75% / [[320, 24, 12], [28, 230, 11], [6, 9, 160]], * Val accuracy / confusion: 58.85% / [[167, 40, 23], [64, 83, 28], [26, 33, 56]] ------------------------------ Epoch 602 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.197321 - Iter 024 / 025, Loss: 0.269478 * Train accuracy / confusion: 88.00% / [[322, 20, 12], [32, 224, 12], [7, 13, 158]], * Val accuracy / confusion: 57.69% / [[161, 49, 20], [58, 85, 32], [21, 40, 54]] ------------------------------ Epoch 603 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.238680 - Iter 024 / 025, Loss: 0.335177 * Train accuracy / confusion: 89.25% / [[327, 19, 14], [28, 230, 7], [6, 12, 157]], * Val accuracy / confusion: 59.04% / [[163, 39, 28], [57, 90, 28], [30, 31, 54]] ------------------------------ Epoch 604 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.287555 - Iter 024 / 025, Loss: 0.334914 * Train accuracy / confusion: 88.25% / [[321, 22, 9], [33, 227, 12], [8, 10, 158]], * Val accuracy / confusion: 63.08% / [[172, 39, 19], [53, 97, 25], [30, 26, 59]] ------------------------------ Epoch 605 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.195719 - Iter 024 / 025, Loss: 0.295263 * Train accuracy / confusion: 89.75% / [[328, 21, 6], [24, 233, 13], [12, 6, 157]], * Val accuracy / confusion: 59.23% / [[166, 45, 19], [71, 88, 16], [26, 35, 54]] ------------------------------ Epoch 606 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.206265 - Iter 024 / 025, Loss: 0.187753 * Train accuracy / confusion: 91.50% / [[335, 13, 7], [19, 241, 10], [9, 10, 156]], * Val accuracy / confusion: 59.42% / [[167, 45, 18], [57, 85, 33], [25, 33, 57]] ------------------------------ Epoch 607 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.605084 - Iter 024 / 025, Loss: 0.206890 * Train accuracy / confusion: 91.12% / [[333, 15, 5], [30, 234, 5], [10, 6, 162]], * Val accuracy / confusion: 60.19% / [[169, 40, 21], [57, 95, 23], [22, 44, 49]] ------------------------------ Epoch 608 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.247073 - Iter 024 / 025, Loss: 0.146712 * Train accuracy / confusion: 91.25% / [[330, 13, 11], [25, 240, 6], [7, 8, 160]], * Val accuracy / confusion: 60.58% / [[168, 41, 21], [58, 93, 24], [20, 41, 54]] ------------------------------ Epoch 609 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.105644 - Iter 024 / 025, Loss: 0.166178 * Train accuracy / confusion: 90.88% / [[330, 18, 5], [28, 235, 10], [9, 3, 162]], * Val accuracy / confusion: 59.81% / [[164, 47, 19], [56, 95, 24], [23, 40, 52]] ------------------------------ Epoch 610 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.243570 - Iter 024 / 025, Loss: 0.327483 * Train accuracy / confusion: 90.38% / [[331, 22, 5], [19, 235, 12], [9, 10, 157]], * Val accuracy / confusion: 59.04% / [[163, 49, 18], [57, 100, 18], [22, 49, 44]] ------------------------------ Epoch 611 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.427749 - Iter 024 / 025, Loss: 0.239043 * Train accuracy / confusion: 91.50% / [[339, 14, 4], [26, 230, 11], [5, 8, 163]], * Val accuracy / confusion: 59.81% / [[169, 39, 22], [55, 95, 25], [24, 44, 47]] ------------------------------ Epoch 612 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.325664 - Iter 024 / 025, Loss: 0.214129 * Train accuracy / confusion: 92.25% / [[340, 15, 4], [24, 237, 9], [3, 7, 161]], * Val accuracy / confusion: 58.46% / [[160, 50, 20], [66, 95, 14], [22, 44, 49]] ------------------------------ Epoch 613 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.274978 - Iter 024 / 025, Loss: 0.260406 * Train accuracy / confusion: 89.62% / [[327, 17, 7], [36, 225, 10], [2, 11, 165]], * Val accuracy / confusion: 61.35% / [[167, 51, 12], [57, 90, 28], [17, 36, 62]] ------------------------------ Epoch 614 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.310146 - Iter 024 / 025, Loss: 0.215913 * Train accuracy / confusion: 90.75% / [[332, 19, 5], [32, 228, 7], [5, 6, 166]], * Val accuracy / confusion: 60.58% / [[165, 44, 21], [69, 91, 15], [23, 33, 59]] ------------------------------ Epoch 615 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.290825 - Iter 024 / 025, Loss: 0.173872 * Train accuracy / confusion: 91.75% / [[339, 16, 3], [25, 232, 8], [3, 11, 163]], * Val accuracy / confusion: 60.38% / [[167, 45, 18], [62, 91, 22], [24, 35, 56]] ------------------------------ Epoch 616 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.259144 - Iter 024 / 025, Loss: 0.452097 * Train accuracy / confusion: 91.25% / [[334, 13, 7], [24, 240, 8], [9, 9, 156]], * Val accuracy / confusion: 57.12% / [[166, 43, 21], [69, 81, 25], [20, 45, 50]] ------------------------------ Epoch 617 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.141889 - Iter 024 / 025, Loss: 0.334012 * Train accuracy / confusion: 90.62% / [[332, 18, 6], [29, 234, 8], [5, 9, 159]], * Val accuracy / confusion: 62.12% / [[167, 37, 26], [47, 101, 27], [24, 36, 55]] ------------------------------ Epoch 618 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.255567 - Iter 024 / 025, Loss: 0.201892 * Train accuracy / confusion: 91.12% / [[329, 17, 7], [23, 234, 10], [10, 4, 166]], * Val accuracy / confusion: 59.42% / [[166, 49, 15], [57, 95, 23], [22, 45, 48]] ------------------------------ Epoch 619 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.175012 - Iter 024 / 025, Loss: 0.252486 * Train accuracy / confusion: 91.88% / [[339, 9, 3], [27, 235, 8], [6, 12, 161]], * Val accuracy / confusion: 57.88% / [[160, 46, 24], [55, 98, 22], [23, 49, 43]] ------------------------------ Epoch 620 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.318916 - Iter 024 / 025, Loss: 0.110985 * Train accuracy / confusion: 92.12% / [[340, 14, 3], [22, 232, 11], [6, 7, 165]], * Val accuracy / confusion: 62.50% / [[167, 39, 24], [47, 108, 20], [20, 45, 50]] ------------------------------ Epoch 621 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.257643 - Iter 024 / 025, Loss: 0.112070 * Train accuracy / confusion: 91.50% / [[341, 12, 2], [23, 234, 11], [8, 12, 157]], * Val accuracy / confusion: 59.62% / [[162, 44, 24], [52, 88, 35], [20, 35, 60]] ------------------------------ Epoch 622 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.225368 - Iter 024 / 025, Loss: 0.162095 * Train accuracy / confusion: 91.38% / [[332, 19, 6], [23, 235, 10], [6, 5, 164]], * Val accuracy / confusion: 59.23% / [[165, 47, 18], [59, 93, 23], [23, 42, 50]] ------------------------------ Epoch 623 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.120517 - Iter 024 / 025, Loss: 0.179712 * Train accuracy / confusion: 91.50% / [[336, 19, 5], [22, 231, 11], [4, 7, 165]], * Val accuracy / confusion: 62.12% / [[170, 46, 14], [58, 94, 23], [23, 33, 59]] ------------------------------ Epoch 624 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.156170 - Iter 024 / 025, Loss: 0.138701 * Train accuracy / confusion: 92.00% / [[337, 14, 0], [27, 236, 10], [4, 9, 163]], * Val accuracy / confusion: 59.62% / [[164, 43, 23], [62, 94, 19], [22, 41, 52]] ------------------------------ Epoch 625 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.290998 - Iter 024 / 025, Loss: 0.242372 * Train accuracy / confusion: 89.75% / [[336, 19, 4], [24, 221, 19], [8, 8, 161]], * Val accuracy / confusion: 58.65% / [[169, 45, 16], [53, 89, 33], [21, 47, 47]] ------------------------------ Epoch 626 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.319770 - Iter 024 / 025, Loss: 0.202368 * Train accuracy / confusion: 91.38% / [[335, 16, 4], [21, 237, 9], [9, 10, 159]], * Val accuracy / confusion: 59.42% / [[167, 45, 18], [66, 89, 20], [21, 41, 53]] ------------------------------ Epoch 627 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.191243 - Iter 024 / 025, Loss: 0.261105 * Train accuracy / confusion: 93.25% / [[340, 12, 3], [21, 239, 5], [4, 9, 167]], * Val accuracy / confusion: 58.85% / [[168, 42, 20], [67, 90, 18], [24, 43, 48]] ------------------------------ Epoch 628 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.224343 - Iter 024 / 025, Loss: 0.196387 * Train accuracy / confusion: 91.88% / [[334, 13, 7], [24, 232, 11], [1, 9, 169]], * Val accuracy / confusion: 60.38% / [[168, 43, 19], [58, 96, 21], [31, 34, 50]] ------------------------------ Epoch 629 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.214302 - Iter 024 / 025, Loss: 0.222407 * Train accuracy / confusion: 92.62% / [[337, 19, 4], [20, 237, 7], [2, 7, 167]], * Val accuracy / confusion: 58.65% / [[169, 41, 20], [65, 84, 26], [22, 41, 52]] ------------------------------ Epoch 630 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.406764 - Iter 024 / 025, Loss: 0.269222 * Train accuracy / confusion: 88.75% / [[332, 21, 5], [29, 223, 11], [9, 15, 155]], * Val accuracy / confusion: 57.50% / [[156, 45, 29], [56, 98, 21], [22, 48, 45]] ------------------------------ Epoch 631 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.273084 - Iter 024 / 025, Loss: 0.317482 * Train accuracy / confusion: 92.75% / [[342, 17, 3], [16, 235, 10], [7, 5, 165]], * Val accuracy / confusion: 59.81% / [[164, 48, 18], [58, 98, 19], [24, 42, 49]] ------------------------------ Epoch 632 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.501523 - Iter 024 / 025, Loss: 0.141757 * Train accuracy / confusion: 91.75% / [[338, 12, 4], [24, 231, 11], [6, 9, 165]], * Val accuracy / confusion: 58.65% / [[166, 46, 18], [62, 87, 26], [23, 40, 52]] ------------------------------ Epoch 633 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.293966 - Iter 024 / 025, Loss: 0.344463 * Train accuracy / confusion: 92.00% / [[335, 19, 3], [25, 240, 6], [4, 7, 161]], * Val accuracy / confusion: 63.46% / [[168, 43, 19], [58, 99, 18], [21, 31, 63]] ------------------------------ Epoch 634 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.126735 - Iter 024 / 025, Loss: 0.155738 * Train accuracy / confusion: 89.88% / [[327, 22, 9], [26, 230, 10], [7, 7, 162]], * Val accuracy / confusion: 57.31% / [[153, 55, 22], [56, 90, 29], [20, 40, 55]] ------------------------------ Epoch 635 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.250838 - Iter 024 / 025, Loss: 0.095403 * Train accuracy / confusion: 92.50% / [[335, 13, 6], [24, 238, 5], [8, 4, 167]], * Val accuracy / confusion: 59.42% / [[161, 49, 20], [57, 95, 23], [21, 41, 53]] ------------------------------ Epoch 636 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.156548 - Iter 024 / 025, Loss: 0.199172 * Train accuracy / confusion: 92.00% / [[334, 15, 6], [20, 242, 7], [5, 11, 160]], * Val accuracy / confusion: 60.19% / [[164, 42, 24], [48, 93, 34], [21, 38, 56]] ------------------------------ Epoch 637 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.326565 - Iter 024 / 025, Loss: 0.406957 * Train accuracy / confusion: 89.12% / [[326, 21, 6], [34, 226, 9], [7, 10, 161]], * Val accuracy / confusion: 59.04% / [[165, 44, 21], [59, 85, 31], [23, 35, 57]] ------------------------------ Epoch 638 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.226720 - Iter 024 / 025, Loss: 0.232169 * Train accuracy / confusion: 91.50% / [[336, 16, 7], [22, 234, 9], [6, 8, 162]], * Val accuracy / confusion: 60.38% / [[152, 51, 27], [46, 105, 24], [19, 39, 57]] ------------------------------ Epoch 639 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.247620 - Iter 024 / 025, Loss: 0.277472 * Train accuracy / confusion: 92.62% / [[335, 15, 6], [21, 238, 7], [3, 7, 168]], * Val accuracy / confusion: 59.42% / [[159, 51, 20], [46, 104, 25], [19, 50, 46]] ------------------------------ Epoch 640 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.221356 - Iter 024 / 025, Loss: 0.055233 * Train accuracy / confusion: 91.88% / [[332, 20, 3], [21, 237, 8], [3, 10, 166]], * Val accuracy / confusion: 59.62% / [[162, 46, 22], [52, 96, 27], [22, 41, 52]] ------------------------------ Epoch 641 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.215690 - Iter 024 / 025, Loss: 0.341609 * Train accuracy / confusion: 91.50% / [[326, 18, 10], [18, 249, 6], [9, 7, 157]], * Val accuracy / confusion: 60.58% / [[175, 38, 17], [69, 87, 19], [27, 35, 53]] ------------------------------ Epoch 642 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.314736 - Iter 024 / 025, Loss: 0.191283 * Train accuracy / confusion: 91.75% / [[334, 17, 6], [20, 236, 11], [3, 9, 164]], * Val accuracy / confusion: 61.54% / [[166, 38, 26], [58, 92, 25], [21, 32, 62]] ------------------------------ Epoch 643 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.256813 - Iter 024 / 025, Loss: 0.340749 * Train accuracy / confusion: 90.88% / [[327, 22, 8], [28, 230, 7], [5, 3, 170]], * Val accuracy / confusion: 57.50% / [[158, 53, 19], [60, 90, 25], [22, 42, 51]] ------------------------------ Epoch 644 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.317847 - Iter 024 / 025, Loss: 0.262552 * Train accuracy / confusion: 91.00% / [[332, 22, 4], [30, 228, 7], [2, 7, 168]], * Val accuracy / confusion: 59.81% / [[163, 48, 19], [58, 106, 11], [25, 48, 42]] ------------------------------ Epoch 645 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.262948 - Iter 024 / 025, Loss: 0.457547 * Train accuracy / confusion: 92.50% / [[338, 14, 5], [20, 239, 7], [7, 7, 163]], * Val accuracy / confusion: 59.62% / [[166, 43, 21], [60, 90, 25], [23, 38, 54]] ------------------------------ Epoch 646 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.381187 - Iter 024 / 025, Loss: 0.328534 * Train accuracy / confusion: 91.38% / [[337, 17, 3], [26, 232, 9], [10, 4, 162]], * Val accuracy / confusion: 60.58% / [[165, 44, 21], [55, 96, 24], [23, 38, 54]] ------------------------------ Epoch 647 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.097800 - Iter 024 / 025, Loss: 0.094134 * Train accuracy / confusion: 90.25% / [[332, 15, 8], [33, 233, 4], [8, 10, 157]], * Val accuracy / confusion: 58.08% / [[158, 51, 21], [56, 91, 28], [22, 40, 53]] ------------------------------ Epoch 648 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.168493 - Iter 024 / 025, Loss: 0.253639 * Train accuracy / confusion: 93.00% / [[342, 16, 2], [21, 240, 8], [1, 8, 162]], * Val accuracy / confusion: 58.85% / [[165, 42, 23], [58, 81, 36], [24, 31, 60]] ------------------------------ Epoch 649 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.187965 - Iter 024 / 025, Loss: 0.135594 * Train accuracy / confusion: 91.88% / [[333, 14, 5], [26, 239, 6], [8, 6, 163]], * Val accuracy / confusion: 60.38% / [[162, 42, 26], [55, 105, 15], [16, 52, 47]] ------------------------------ Epoch 650 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.220891 - Iter 024 / 025, Loss: 0.203422 * Train accuracy / confusion: 93.00% / [[336, 15, 5], [17, 245, 6], [3, 10, 163]], * Val accuracy / confusion: 56.54% / [[157, 52, 21], [61, 91, 23], [22, 47, 46]] ------------------------------ Epoch 651 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.114802 - Iter 024 / 025, Loss: 0.430995 * Train accuracy / confusion: 92.38% / [[334, 21, 2], [26, 238, 3], [5, 4, 167]], * Val accuracy / confusion: 57.31% / [[166, 45, 19], [74, 81, 20], [26, 38, 51]] ------------------------------ Epoch 652 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.214668 - Iter 024 / 025, Loss: 0.350761 * Train accuracy / confusion: 91.75% / [[335, 14, 7], [22, 236, 7], [8, 8, 163]], * Val accuracy / confusion: 58.27% / [[163, 45, 22], [56, 95, 24], [22, 48, 45]] ------------------------------ Epoch 653 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.385053 - Iter 024 / 025, Loss: 0.063235 * Train accuracy / confusion: 92.75% / [[344, 12, 4], [15, 233, 12], [5, 10, 165]], * Val accuracy / confusion: 58.27% / [[160, 53, 17], [64, 92, 19], [19, 45, 51]] ------------------------------ Epoch 654 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.326540 - Iter 024 / 025, Loss: 0.114485 * Train accuracy / confusion: 90.75% / [[332, 17, 8], [24, 232, 10], [8, 7, 162]], * Val accuracy / confusion: 60.19% / [[172, 37, 21], [67, 90, 18], [24, 40, 51]] ------------------------------ Epoch 655 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.182199 - Iter 024 / 025, Loss: 0.231485 * Train accuracy / confusion: 91.75% / [[339, 10, 7], [28, 230, 9], [4, 8, 165]], * Val accuracy / confusion: 58.85% / [[167, 46, 17], [59, 92, 24], [26, 42, 47]] ------------------------------ Epoch 656 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.476222 - Iter 024 / 025, Loss: 0.198767 * Train accuracy / confusion: 91.38% / [[334, 18, 5], [21, 235, 10], [8, 7, 162]], * Val accuracy / confusion: 57.50% / [[156, 47, 27], [63, 91, 21], [21, 42, 52]] ------------------------------ Epoch 657 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.116863 - Iter 024 / 025, Loss: 0.100568 * Train accuracy / confusion: 92.00% / [[331, 18, 8], [23, 239, 6], [2, 7, 166]], * Val accuracy / confusion: 56.92% / [[158, 48, 24], [58, 92, 25], [20, 49, 46]] ------------------------------ Epoch 658 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.420081 - Iter 024 / 025, Loss: 0.301762 * Train accuracy / confusion: 92.50% / [[333, 18, 5], [22, 240, 5], [4, 6, 167]], * Val accuracy / confusion: 58.46% / [[159, 52, 19], [55, 97, 23], [24, 43, 48]] ------------------------------ Epoch 659 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.153887 - Iter 024 / 025, Loss: 0.125453 * Train accuracy / confusion: 93.12% / [[333, 19, 2], [16, 252, 7], [7, 4, 160]], * Val accuracy / confusion: 58.08% / [[165, 45, 20], [65, 89, 21], [26, 41, 48]] ------------------------------ Epoch 660 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.252904 - Iter 024 / 025, Loss: 0.169478 * Train accuracy / confusion: 92.50% / [[336, 15, 3], [22, 241, 5], [6, 9, 163]], * Val accuracy / confusion: 58.46% / [[162, 53, 15], [58, 91, 26], [22, 42, 51]] ------------------------------ Epoch 661 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.128879 - Iter 024 / 025, Loss: 0.098603 * Train accuracy / confusion: 92.88% / [[339, 15, 4], [19, 242, 7], [6, 6, 162]], * Val accuracy / confusion: 59.42% / [[163, 43, 24], [58, 96, 21], [21, 44, 50]] ------------------------------ Epoch 662 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.192427 - Iter 024 / 025, Loss: 0.167937 * Train accuracy / confusion: 92.38% / [[337, 12, 5], [25, 241, 7], [3, 9, 161]], * Val accuracy / confusion: 57.12% / [[147, 60, 23], [55, 97, 23], [23, 39, 53]] ------------------------------ Epoch 663 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.195313 - Iter 024 / 025, Loss: 0.587051 * Train accuracy / confusion: 90.62% / [[335, 19, 5], [18, 238, 12], [8, 13, 152]], * Val accuracy / confusion: 59.81% / [[164, 43, 23], [58, 102, 15], [21, 49, 45]] ------------------------------ Epoch 664 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.247609 - Iter 024 / 025, Loss: 0.240047 * Train accuracy / confusion: 92.25% / [[332, 19, 5], [20, 242, 8], [6, 4, 164]], * Val accuracy / confusion: 59.62% / [[163, 44, 23], [62, 97, 16], [27, 38, 50]] ------------------------------ Epoch 665 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.125824 - Iter 024 / 025, Loss: 0.182761 * Train accuracy / confusion: 93.12% / [[336, 15, 6], [20, 245, 5], [1, 8, 164]], * Val accuracy / confusion: 61.15% / [[173, 37, 20], [68, 92, 15], [30, 32, 53]] ------------------------------ Epoch 666 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.247089 - Iter 024 / 025, Loss: 0.218451 * Train accuracy / confusion: 91.88% / [[333, 22, 2], [27, 235, 6], [4, 4, 167]], * Val accuracy / confusion: 57.12% / [[166, 47, 17], [60, 90, 25], [29, 45, 41]] ------------------------------ Epoch 667 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.106874 - Iter 024 / 025, Loss: 0.340087 * Train accuracy / confusion: 93.12% / [[336, 13, 9], [19, 248, 3], [5, 6, 161]], * Val accuracy / confusion: 61.15% / [[169, 41, 20], [46, 102, 27], [28, 40, 47]] ------------------------------ Epoch 668 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.120063 - Iter 024 / 025, Loss: 0.130811 * Train accuracy / confusion: 93.50% / [[336, 14, 3], [15, 246, 10], [3, 7, 166]], * Val accuracy / confusion: 60.00% / [[162, 40, 28], [56, 98, 21], [25, 38, 52]] ------------------------------ Epoch 669 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.297686 - Iter 024 / 025, Loss: 0.053150 * Train accuracy / confusion: 94.50% / [[341, 10, 5], [11, 253, 7], [7, 4, 162]], * Val accuracy / confusion: 59.04% / [[170, 39, 21], [59, 97, 19], [25, 50, 40]] ------------------------------ Epoch 670 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.263453 - Iter 024 / 025, Loss: 0.208544 * Train accuracy / confusion: 92.25% / [[335, 17, 4], [26, 234, 5], [5, 5, 169]], * Val accuracy / confusion: 56.73% / [[160, 53, 17], [58, 89, 28], [22, 47, 46]] ------------------------------ Epoch 671 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.169920 - Iter 024 / 025, Loss: 0.222837 * Train accuracy / confusion: 92.75% / [[338, 12, 4], [19, 240, 8], [5, 10, 164]], * Val accuracy / confusion: 56.73% / [[156, 48, 26], [64, 89, 22], [26, 39, 50]] ------------------------------ Epoch 672 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.160280 - Iter 024 / 025, Loss: 0.205592 * Train accuracy / confusion: 93.12% / [[332, 15, 4], [16, 243, 9], [3, 8, 170]], * Val accuracy / confusion: 59.04% / [[162, 46, 22], [59, 98, 18], [25, 43, 47]] ------------------------------ Epoch 673 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.328594 - Iter 024 / 025, Loss: 0.287124 * Train accuracy / confusion: 92.75% / [[338, 17, 4], [22, 239, 5], [4, 6, 165]], * Val accuracy / confusion: 58.85% / [[164, 44, 22], [66, 90, 19], [21, 42, 52]] ------------------------------ Epoch 674 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.127121 - Iter 024 / 025, Loss: 0.062517 * Train accuracy / confusion: 95.38% / [[347, 7, 1], [18, 242, 5], [3, 3, 174]], * Val accuracy / confusion: 60.19% / [[168, 42, 20], [64, 90, 21], [31, 29, 55]] ------------------------------ Epoch 675 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.162490 - Iter 024 / 025, Loss: 0.224612 * Train accuracy / confusion: 94.00% / [[342, 11, 2], [19, 244, 4], [5, 7, 166]], * Val accuracy / confusion: 58.27% / [[160, 47, 23], [58, 91, 26], [22, 41, 52]] ------------------------------ Epoch 676 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.068884 - Iter 024 / 025, Loss: 0.114170 * Train accuracy / confusion: 94.12% / [[345, 9, 1], [19, 242, 6], [5, 7, 166]], * Val accuracy / confusion: 59.62% / [[160, 50, 20], [58, 89, 28], [22, 32, 61]] ------------------------------ Epoch 677 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.135418 - Iter 024 / 025, Loss: 0.032159 * Train accuracy / confusion: 93.00% / [[337, 14, 4], [24, 241, 5], [1, 8, 166]], * Val accuracy / confusion: 61.15% / [[156, 52, 22], [45, 112, 18], [23, 42, 50]] ------------------------------ Epoch 678 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.094578 - Iter 024 / 025, Loss: 0.418000 * Train accuracy / confusion: 93.62% / [[334, 13, 5], [19, 245, 5], [6, 3, 170]], * Val accuracy / confusion: 59.42% / [[156, 49, 25], [53, 97, 25], [22, 37, 56]] ------------------------------ Epoch 679 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.414743 - Iter 024 / 025, Loss: 0.142970 * Train accuracy / confusion: 93.88% / [[344, 8, 6], [14, 247, 5], [7, 9, 160]], * Val accuracy / confusion: 60.19% / [[167, 47, 16], [54, 96, 25], [23, 42, 50]] ------------------------------ Epoch 680 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.132978 - Iter 024 / 025, Loss: 0.097184 * Train accuracy / confusion: 91.88% / [[333, 14, 4], [24, 236, 12], [4, 7, 166]], * Val accuracy / confusion: 61.35% / [[166, 41, 23], [55, 99, 21], [27, 34, 54]] ------------------------------ Epoch 681 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.072333 - Iter 024 / 025, Loss: 0.296298 * Train accuracy / confusion: 92.88% / [[333, 22, 3], [20, 240, 5], [1, 6, 170]], * Val accuracy / confusion: 58.46% / [[161, 43, 26], [56, 93, 26], [24, 41, 50]] ------------------------------ Epoch 682 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.094349 - Iter 024 / 025, Loss: 0.159108 * Train accuracy / confusion: 93.62% / [[338, 8, 7], [17, 243, 8], [4, 7, 168]], * Val accuracy / confusion: 59.42% / [[160, 50, 20], [58, 93, 24], [21, 38, 56]] ------------------------------ Epoch 683 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.325792 - Iter 024 / 025, Loss: 0.288012 * Train accuracy / confusion: 92.88% / [[335, 13, 7], [23, 242, 6], [3, 5, 166]], * Val accuracy / confusion: 56.92% / [[154, 57, 19], [64, 87, 24], [27, 33, 55]] ------------------------------ Epoch 684 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.086076 - Iter 024 / 025, Loss: 0.358223 * Train accuracy / confusion: 92.38% / [[340, 13, 8], [23, 234, 9], [2, 6, 165]], * Val accuracy / confusion: 59.81% / [[163, 46, 21], [60, 95, 20], [22, 40, 53]] ------------------------------ Epoch 685 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.176267 - Iter 024 / 025, Loss: 0.236988 * Train accuracy / confusion: 95.62% / [[342, 8, 1], [16, 252, 3], [5, 2, 171]], * Val accuracy / confusion: 61.35% / [[163, 45, 22], [53, 103, 19], [19, 43, 53]] ------------------------------ Epoch 686 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.378968 - Iter 024 / 025, Loss: 0.122575 * Train accuracy / confusion: 92.25% / [[334, 20, 8], [18, 238, 7], [4, 5, 166]], * Val accuracy / confusion: 60.38% / [[154, 49, 27], [49, 104, 22], [21, 38, 56]] ------------------------------ Epoch 687 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.078517 - Iter 024 / 025, Loss: 0.193410 * Train accuracy / confusion: 90.75% / [[332, 17, 6], [21, 235, 13], [5, 12, 159]], * Val accuracy / confusion: 59.23% / [[163, 46, 21], [60, 92, 23], [26, 36, 53]] ------------------------------ Epoch 688 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.160233 - Iter 024 / 025, Loss: 0.103987 * Train accuracy / confusion: 92.88% / [[343, 13, 4], [24, 238, 6], [5, 5, 162]], * Val accuracy / confusion: 58.27% / [[163, 47, 20], [52, 94, 29], [22, 47, 46]] ------------------------------ Epoch 689 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.114359 - Iter 024 / 025, Loss: 0.366296 * Train accuracy / confusion: 92.62% / [[336, 14, 1], [24, 237, 6], [7, 7, 168]], * Val accuracy / confusion: 62.12% / [[167, 51, 12], [62, 98, 15], [20, 37, 58]] ------------------------------ Epoch 690 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.183636 - Iter 024 / 025, Loss: 0.214182 * Train accuracy / confusion: 92.12% / [[336, 10, 8], [23, 236, 8], [5, 9, 165]], * Val accuracy / confusion: 59.81% / [[173, 42, 15], [58, 84, 33], [23, 38, 54]] ------------------------------ Epoch 691 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.242971 - Iter 024 / 025, Loss: 0.219546 * Train accuracy / confusion: 92.38% / [[339, 14, 2], [22, 238, 6], [5, 12, 162]], * Val accuracy / confusion: 59.81% / [[162, 52, 16], [56, 96, 23], [26, 36, 53]] ------------------------------ Epoch 692 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.168245 - Iter 024 / 025, Loss: 0.386119 * Train accuracy / confusion: 95.12% / [[342, 11, 5], [11, 251, 3], [5, 4, 168]], * Val accuracy / confusion: 58.08% / [[159, 54, 17], [56, 95, 24], [19, 48, 48]] ------------------------------ Epoch 693 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.150109 - Iter 024 / 025, Loss: 0.090062 * Train accuracy / confusion: 94.00% / [[341, 14, 4], [19, 241, 6], [2, 3, 170]], * Val accuracy / confusion: 59.23% / [[153, 52, 25], [53, 103, 19], [22, 41, 52]] ------------------------------ Epoch 694 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.134708 - Iter 024 / 025, Loss: 0.188626 * Train accuracy / confusion: 94.00% / [[334, 14, 4], [13, 248, 5], [7, 5, 170]], * Val accuracy / confusion: 59.23% / [[152, 45, 33], [55, 100, 20], [24, 35, 56]] ------------------------------ Epoch 695 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.422348 - Iter 024 / 025, Loss: 0.329145 * Train accuracy / confusion: 92.75% / [[342, 13, 3], [19, 233, 15], [4, 4, 167]], * Val accuracy / confusion: 55.19% / [[155, 49, 26], [61, 90, 24], [30, 43, 42]] ------------------------------ Epoch 696 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.298718 - Iter 024 / 025, Loss: 0.042027 * Train accuracy / confusion: 90.25% / [[332, 21, 2], [24, 228, 13], [7, 11, 162]], * Val accuracy / confusion: 58.65% / [[164, 41, 25], [60, 98, 17], [24, 48, 43]] ------------------------------ Epoch 697 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.270071 - Iter 024 / 025, Loss: 0.242283 * Train accuracy / confusion: 93.25% / [[337, 14, 4], [18, 240, 8], [4, 6, 169]], * Val accuracy / confusion: 60.77% / [[161, 53, 16], [56, 104, 15], [24, 40, 51]] ------------------------------ Epoch 698 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.116769 - Iter 024 / 025, Loss: 0.152985 * Train accuracy / confusion: 92.00% / [[332, 18, 3], [23, 239, 10], [3, 7, 165]], * Val accuracy / confusion: 59.04% / [[167, 46, 17], [61, 92, 22], [26, 41, 48]] ------------------------------ Epoch 699 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.138622 - Iter 024 / 025, Loss: 0.166126 * Train accuracy / confusion: 92.50% / [[337, 13, 5], [22, 238, 8], [6, 6, 165]], * Val accuracy / confusion: 58.65% / [[164, 50, 16], [63, 93, 19], [24, 43, 48]] ------------------------------ Epoch 700 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.124319 - Iter 024 / 025, Loss: 0.066759 * Train accuracy / confusion: 94.75% / [[340, 12, 3], [11, 251, 4], [6, 6, 167]], * Val accuracy / confusion: 61.54% / [[164, 51, 15], [57, 106, 12], [18, 47, 50]] ------------------------------ Epoch 701 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.166990 - Iter 024 / 025, Loss: 0.165424 * Train accuracy / confusion: 94.75% / [[341, 12, 5], [11, 253, 5], [2, 7, 164]], * Val accuracy / confusion: 58.46% / [[167, 48, 15], [54, 99, 22], [28, 49, 38]] ------------------------------ Epoch 702 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.212616 - Iter 024 / 025, Loss: 0.282927 * Train accuracy / confusion: 92.25% / [[333, 16, 7], [24, 237, 4], [6, 5, 168]], * Val accuracy / confusion: 58.65% / [[159, 53, 18], [58, 99, 18], [18, 50, 47]] ------------------------------ Epoch 703 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.165228 - Iter 024 / 025, Loss: 0.306165 * Train accuracy / confusion: 94.25% / [[336, 12, 5], [13, 249, 5], [4, 7, 169]], * Val accuracy / confusion: 60.00% / [[164, 46, 20], [57, 100, 18], [18, 49, 48]] ------------------------------ Epoch 704 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.115251 - Iter 024 / 025, Loss: 0.099484 * Train accuracy / confusion: 93.88% / [[345, 6, 2], [20, 239, 10], [4, 7, 167]], * Val accuracy / confusion: 59.62% / [[163, 45, 22], [70, 94, 11], [18, 44, 53]] ------------------------------ Epoch 705 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.232095 - Iter 024 / 025, Loss: 0.241278 * Train accuracy / confusion: 93.50% / [[336, 13, 4], [19, 241, 9], [2, 5, 171]], * Val accuracy / confusion: 56.15% / [[147, 53, 30], [54, 93, 28], [32, 31, 52]] ------------------------------ Epoch 706 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.210726 - Iter 024 / 025, Loss: 0.054755 * Train accuracy / confusion: 93.50% / [[338, 15, 3], [15, 243, 8], [4, 7, 167]], * Val accuracy / confusion: 59.81% / [[171, 39, 20], [63, 91, 21], [27, 39, 49]] ------------------------------ Epoch 707 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.100328 - Iter 024 / 025, Loss: 0.052111 * Train accuracy / confusion: 93.38% / [[344, 7, 5], [15, 245, 11], [6, 9, 158]], * Val accuracy / confusion: 61.35% / [[169, 41, 20], [47, 98, 30], [21, 42, 52]] ------------------------------ Epoch 708 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.143870 - Iter 024 / 025, Loss: 0.274576 * Train accuracy / confusion: 92.38% / [[330, 16, 9], [18, 244, 9], [4, 5, 165]], * Val accuracy / confusion: 58.85% / [[167, 45, 18], [58, 96, 21], [28, 44, 43]] ------------------------------ Epoch 709 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.408216 - Iter 024 / 025, Loss: 0.036314 * Train accuracy / confusion: 91.88% / [[330, 19, 6], [15, 246, 7], [6, 12, 159]], * Val accuracy / confusion: 58.85% / [[160, 51, 19], [51, 97, 27], [24, 42, 49]] ------------------------------ Epoch 710 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.364351 - Iter 024 / 025, Loss: 0.137607 * Train accuracy / confusion: 93.25% / [[346, 10, 2], [22, 237, 7], [5, 8, 163]], * Val accuracy / confusion: 58.27% / [[168, 47, 15], [55, 87, 33], [22, 45, 48]] ------------------------------ Epoch 711 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.114914 - Iter 024 / 025, Loss: 0.147297 * Train accuracy / confusion: 93.50% / [[343, 8, 1], [19, 240, 10], [7, 7, 165]], * Val accuracy / confusion: 58.85% / [[162, 45, 23], [62, 92, 21], [27, 36, 52]] ------------------------------ Epoch 712 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.134601 - Iter 024 / 025, Loss: 0.046983 * Train accuracy / confusion: 94.38% / [[344, 12, 5], [14, 242, 5], [2, 7, 169]], * Val accuracy / confusion: 57.88% / [[156, 61, 13], [60, 99, 16], [28, 41, 46]] ------------------------------ Epoch 713 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.074801 - Iter 024 / 025, Loss: 0.367922 * Train accuracy / confusion: 93.62% / [[336, 13, 1], [20, 239, 11], [4, 2, 174]], * Val accuracy / confusion: 59.42% / [[173, 40, 17], [56, 88, 31], [31, 36, 48]] ------------------------------ Epoch 714 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.099988 - Iter 024 / 025, Loss: 0.087757 * Train accuracy / confusion: 92.75% / [[335, 15, 6], [18, 239, 9], [3, 7, 168]], * Val accuracy / confusion: 56.35% / [[158, 51, 21], [55, 92, 28], [21, 51, 43]] ------------------------------ Epoch 715 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.279136 - Iter 024 / 025, Loss: 0.159798 * Train accuracy / confusion: 94.38% / [[348, 11, 0], [16, 243, 6], [4, 8, 164]], * Val accuracy / confusion: 60.77% / [[167, 46, 17], [47, 102, 26], [21, 47, 47]] ------------------------------ Epoch 716 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.252345 - Iter 024 / 025, Loss: 0.077158 * Train accuracy / confusion: 94.38% / [[341, 13, 6], [10, 246, 6], [8, 2, 168]], * Val accuracy / confusion: 55.58% / [[155, 47, 28], [57, 91, 27], [26, 46, 43]] ------------------------------ Epoch 717 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.141213 - Iter 024 / 025, Loss: 0.435355 * Train accuracy / confusion: 93.38% / [[340, 15, 3], [16, 244, 8], [4, 7, 163]], * Val accuracy / confusion: 57.69% / [[155, 42, 33], [50, 93, 32], [27, 36, 52]] ------------------------------ Epoch 718 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.098055 - Iter 024 / 025, Loss: 0.327203 * Train accuracy / confusion: 94.00% / [[344, 11, 5], [16, 239, 8], [3, 5, 169]], * Val accuracy / confusion: 57.12% / [[153, 52, 25], [53, 91, 31], [22, 40, 53]] ------------------------------ Epoch 719 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.069436 - Iter 024 / 025, Loss: 0.076718 * Train accuracy / confusion: 93.75% / [[338, 12, 6], [15, 248, 6], [5, 6, 164]], * Val accuracy / confusion: 58.65% / [[156, 58, 16], [55, 108, 12], [27, 47, 41]] ------------------------------ Epoch 720 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.210819 - Iter 024 / 025, Loss: 0.113250 * Train accuracy / confusion: 94.75% / [[341, 14, 4], [14, 246, 4], [4, 2, 171]], * Val accuracy / confusion: 55.00% / [[152, 49, 29], [60, 91, 24], [25, 47, 43]] ------------------------------ Epoch 721 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.251766 - Iter 024 / 025, Loss: 0.077197 * Train accuracy / confusion: 92.88% / [[340, 14, 3], [19, 237, 9], [6, 6, 166]], * Val accuracy / confusion: 57.50% / [[155, 53, 22], [57, 97, 21], [26, 42, 47]] ------------------------------ Epoch 722 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.056066 - Iter 024 / 025, Loss: 0.216197 * Train accuracy / confusion: 93.88% / [[341, 12, 2], [22, 243, 6], [3, 4, 167]], * Val accuracy / confusion: 59.81% / [[160, 45, 25], [55, 101, 19], [26, 39, 50]] ------------------------------ Epoch 723 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.132339 - Iter 024 / 025, Loss: 0.162949 * Train accuracy / confusion: 94.00% / [[343, 11, 6], [12, 245, 6], [6, 7, 164]], * Val accuracy / confusion: 61.54% / [[159, 53, 18], [50, 106, 19], [22, 38, 55]] ------------------------------ Epoch 724 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.291070 - Iter 024 / 025, Loss: 0.143275 * Train accuracy / confusion: 94.00% / [[344, 13, 4], [18, 245, 3], [5, 5, 163]], * Val accuracy / confusion: 57.12% / [[164, 44, 22], [63, 91, 21], [22, 51, 42]] ------------------------------ Epoch 725 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.113574 - Iter 024 / 025, Loss: 0.166698 * Train accuracy / confusion: 93.38% / [[341, 9, 0], [20, 243, 10], [5, 9, 163]], * Val accuracy / confusion: 60.38% / [[167, 45, 18], [50, 98, 27], [23, 43, 49]] ------------------------------ Epoch 726 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.148835 - Iter 024 / 025, Loss: 0.268126 * Train accuracy / confusion: 93.38% / [[342, 10, 2], [22, 245, 6], [4, 9, 160]], * Val accuracy / confusion: 58.85% / [[162, 47, 21], [57, 95, 23], [19, 47, 49]] ------------------------------ Epoch 727 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.050844 - Iter 024 / 025, Loss: 0.162499 * Train accuracy / confusion: 94.88% / [[345, 8, 4], [20, 243, 3], [3, 3, 171]], * Val accuracy / confusion: 60.19% / [[160, 43, 27], [54, 97, 24], [19, 40, 56]] ------------------------------ Epoch 728 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.091585 - Iter 024 / 025, Loss: 0.270427 * Train accuracy / confusion: 92.75% / [[341, 11, 3], [19, 240, 11], [8, 6, 161]], * Val accuracy / confusion: 60.77% / [[167, 45, 18], [53, 105, 17], [22, 49, 44]] ------------------------------ Epoch 729 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.169165 - Iter 024 / 025, Loss: 0.169272 * Train accuracy / confusion: 94.62% / [[340, 12, 3], [12, 253, 4], [4, 8, 164]], * Val accuracy / confusion: 59.04% / [[154, 54, 22], [51, 100, 24], [21, 41, 53]] ------------------------------ Epoch 730 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.105822 - Iter 024 / 025, Loss: 0.092569 * Train accuracy / confusion: 94.62% / [[343, 9, 4], [15, 250, 2], [4, 9, 164]], * Val accuracy / confusion: 60.77% / [[160, 46, 24], [51, 106, 18], [22, 43, 50]] ------------------------------ Epoch 731 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.070160 - Iter 024 / 025, Loss: 0.157661 * Train accuracy / confusion: 93.75% / [[339, 13, 4], [14, 244, 10], [8, 1, 167]], * Val accuracy / confusion: 58.27% / [[157, 48, 25], [41, 100, 34], [22, 47, 46]] ------------------------------ Epoch 732 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.064599 - Iter 024 / 025, Loss: 0.145136 * Train accuracy / confusion: 93.50% / [[339, 8, 7], [18, 247, 5], [6, 8, 162]], * Val accuracy / confusion: 54.42% / [[142, 57, 31], [50, 94, 31], [21, 47, 47]] ------------------------------ Epoch 733 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.255147 - Iter 024 / 025, Loss: 0.100993 * Train accuracy / confusion: 92.25% / [[339, 16, 3], [16, 237, 9], [6, 12, 162]], * Val accuracy / confusion: 57.88% / [[162, 52, 16], [60, 96, 19], [20, 52, 43]] ------------------------------ Epoch 734 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.231155 - Iter 024 / 025, Loss: 0.042092 * Train accuracy / confusion: 94.62% / [[343, 8, 2], [19, 245, 5], [5, 4, 169]], * Val accuracy / confusion: 57.88% / [[158, 56, 16], [53, 99, 23], [26, 45, 44]] ------------------------------ Epoch 735 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.089007 - Iter 024 / 025, Loss: 0.399378 * Train accuracy / confusion: 93.88% / [[338, 13, 2], [23, 242, 4], [3, 4, 171]], * Val accuracy / confusion: 57.50% / [[162, 48, 20], [61, 93, 21], [23, 48, 44]] ------------------------------ Epoch 736 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.124555 - Iter 024 / 025, Loss: 0.099954 * Train accuracy / confusion: 94.50% / [[346, 9, 3], [21, 241, 5], [3, 3, 169]], * Val accuracy / confusion: 56.35% / [[156, 45, 29], [55, 93, 27], [20, 51, 44]] ------------------------------ Epoch 737 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.223996 - Iter 024 / 025, Loss: 0.258006 * Train accuracy / confusion: 92.50% / [[334, 15, 5], [23, 242, 10], [2, 5, 164]], * Val accuracy / confusion: 58.08% / [[161, 46, 23], [57, 93, 25], [24, 43, 48]] ------------------------------ Epoch 738 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.273545 - Iter 024 / 025, Loss: 0.099506 * Train accuracy / confusion: 93.88% / [[336, 16, 3], [16, 246, 4], [5, 5, 169]], * Val accuracy / confusion: 58.27% / [[162, 46, 22], [67, 90, 18], [23, 41, 51]] ------------------------------ Epoch 739 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.093412 - Iter 024 / 025, Loss: 0.172974 * Train accuracy / confusion: 93.75% / [[346, 13, 2], [18, 234, 9], [2, 6, 170]], * Val accuracy / confusion: 59.04% / [[164, 37, 29], [58, 92, 25], [23, 41, 51]] ------------------------------ Epoch 740 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.125016 - Iter 024 / 025, Loss: 0.162199 * Train accuracy / confusion: 93.25% / [[344, 10, 5], [16, 243, 8], [4, 11, 159]], * Val accuracy / confusion: 57.50% / [[160, 46, 24], [58, 84, 33], [22, 38, 55]] ------------------------------ Epoch 741 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.152997 - Iter 024 / 025, Loss: 0.153458 * Train accuracy / confusion: 93.00% / [[338, 15, 4], [21, 242, 6], [6, 4, 164]], * Val accuracy / confusion: 55.96% / [[152, 50, 28], [58, 94, 23], [23, 47, 45]] ------------------------------ Epoch 742 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.266777 - Iter 024 / 025, Loss: 0.269388 * Train accuracy / confusion: 93.38% / [[342, 9, 6], [22, 239, 7], [3, 6, 166]], * Val accuracy / confusion: 59.04% / [[159, 49, 22], [47, 104, 24], [19, 52, 44]] ------------------------------ Epoch 743 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.188293 - Iter 024 / 025, Loss: 0.093095 * Train accuracy / confusion: 93.50% / [[342, 11, 5], [14, 240, 9], [6, 7, 166]], * Val accuracy / confusion: 57.50% / [[159, 49, 22], [61, 91, 23], [20, 46, 49]] ------------------------------ Epoch 744 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.224378 - Iter 024 / 025, Loss: 0.215773 * Train accuracy / confusion: 92.12% / [[337, 13, 4], [26, 235, 8], [5, 7, 165]], * Val accuracy / confusion: 60.00% / [[157, 52, 21], [47, 103, 25], [16, 47, 52]] ------------------------------ Epoch 745 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.079802 - Iter 024 / 025, Loss: 0.485141 * Train accuracy / confusion: 95.25% / [[345, 13, 1], [15, 244, 5], [1, 3, 173]], * Val accuracy / confusion: 58.85% / [[152, 56, 22], [43, 110, 22], [27, 44, 44]] ------------------------------ Epoch 746 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.194168 - Iter 024 / 025, Loss: 0.172293 * Train accuracy / confusion: 94.62% / [[335, 10, 5], [20, 248, 2], [2, 4, 174]], * Val accuracy / confusion: 58.08% / [[162, 42, 26], [55, 89, 31], [17, 47, 51]] ------------------------------ Epoch 747 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.117955 - Iter 024 / 025, Loss: 0.120412 * Train accuracy / confusion: 93.62% / [[343, 10, 4], [14, 246, 10], [6, 7, 160]], * Val accuracy / confusion: 55.38% / [[151, 57, 22], [59, 83, 33], [23, 38, 54]] ------------------------------ Epoch 748 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.201651 - Iter 024 / 025, Loss: 0.191028 * Train accuracy / confusion: 94.12% / [[340, 10, 7], [14, 249, 6], [5, 5, 164]], * Val accuracy / confusion: 57.50% / [[163, 44, 23], [63, 93, 19], [22, 50, 43]] ------------------------------ Epoch 749 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.389920 - Iter 024 / 025, Loss: 0.246289 * Train accuracy / confusion: 92.00% / [[336, 14, 4], [24, 243, 4], [8, 10, 157]], * Val accuracy / confusion: 58.46% / [[163, 50, 17], [52, 96, 27], [22, 48, 45]] ------------------------------ Epoch 750 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.059520 - Iter 024 / 025, Loss: 0.373245 * Train accuracy / confusion: 92.38% / [[338, 11, 5], [26, 235, 7], [6, 6, 166]], * Val accuracy / confusion: 60.58% / [[160, 52, 18], [42, 106, 27], [21, 45, 49]] ------------------------------ Epoch 751 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.064592 - Iter 024 / 025, Loss: 0.249535 * Train accuracy / confusion: 93.38% / [[342, 10, 5], [21, 242, 7], [3, 7, 163]], * Val accuracy / confusion: 58.85% / [[158, 51, 21], [51, 95, 29], [19, 43, 53]] ------------------------------ Epoch 752 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.078263 - Iter 024 / 025, Loss: 0.191764 * Train accuracy / confusion: 91.00% / [[327, 23, 8], [23, 232, 10], [1, 7, 169]], * Val accuracy / confusion: 59.81% / [[167, 48, 15], [54, 95, 26], [20, 46, 49]] ------------------------------ Epoch 753 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.062560 - Iter 024 / 025, Loss: 0.116522 * Train accuracy / confusion: 91.75% / [[331, 22, 4], [18, 240, 8], [7, 7, 163]], * Val accuracy / confusion: 54.81% / [[151, 48, 31], [58, 88, 29], [22, 47, 46]] ------------------------------ Epoch 754 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.087099 - Iter 024 / 025, Loss: 0.142879 * Train accuracy / confusion: 94.00% / [[348, 8, 4], [19, 240, 9], [4, 4, 164]], * Val accuracy / confusion: 56.35% / [[145, 54, 31], [54, 106, 15], [18, 55, 42]] ------------------------------ Epoch 755 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.093392 - Iter 024 / 025, Loss: 0.228946 * Train accuracy / confusion: 93.62% / [[341, 13, 4], [18, 242, 7], [5, 4, 166]], * Val accuracy / confusion: 60.00% / [[175, 39, 16], [63, 92, 20], [23, 47, 45]] ------------------------------ Epoch 756 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.151075 - Iter 024 / 025, Loss: 0.352905 * Train accuracy / confusion: 93.12% / [[339, 9, 5], [24, 244, 2], [6, 9, 162]], * Val accuracy / confusion: 60.77% / [[157, 49, 24], [46, 106, 23], [25, 37, 53]] ------------------------------ Epoch 757 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.118791 - Iter 024 / 025, Loss: 0.063275 * Train accuracy / confusion: 93.00% / [[338, 17, 4], [14, 244, 9], [1, 11, 162]], * Val accuracy / confusion: 60.38% / [[175, 41, 14], [54, 91, 30], [25, 42, 48]] ------------------------------ Epoch 758 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.349029 - Iter 024 / 025, Loss: 0.091100 * Train accuracy / confusion: 93.88% / [[335, 18, 2], [15, 246, 7], [2, 5, 170]], * Val accuracy / confusion: 58.65% / [[164, 49, 17], [60, 95, 20], [27, 42, 46]] ------------------------------ Epoch 759 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.233260 - Iter 024 / 025, Loss: 0.112703 * Train accuracy / confusion: 93.50% / [[340, 16, 4], [17, 244, 6], [7, 2, 164]], * Val accuracy / confusion: 56.92% / [[159, 46, 25], [65, 91, 19], [23, 46, 46]] ------------------------------ Epoch 760 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.119063 - Iter 024 / 025, Loss: 0.305097 * Train accuracy / confusion: 93.88% / [[337, 11, 6], [16, 244, 8], [4, 4, 170]], * Val accuracy / confusion: 59.81% / [[165, 45, 20], [59, 102, 14], [27, 44, 44]] ------------------------------ Epoch 761 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.058468 - Iter 024 / 025, Loss: 0.223016 * Train accuracy / confusion: 93.50% / [[343, 8, 8], [22, 238, 3], [4, 7, 167]], * Val accuracy / confusion: 56.15% / [[157, 47, 26], [62, 89, 24], [23, 46, 46]] ------------------------------ Epoch 762 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.330549 - Iter 024 / 025, Loss: 0.304786 * Train accuracy / confusion: 94.12% / [[338, 10, 5], [17, 249, 5], [4, 6, 166]], * Val accuracy / confusion: 55.38% / [[152, 54, 24], [55, 93, 27], [23, 49, 43]] ------------------------------ Epoch 763 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.068547 - Iter 024 / 025, Loss: 0.305526 * Train accuracy / confusion: 95.00% / [[346, 10, 3], [14, 248, 4], [2, 7, 166]], * Val accuracy / confusion: 58.08% / [[168, 37, 25], [60, 83, 32], [26, 38, 51]] ------------------------------ Epoch 764 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.396354 - Iter 024 / 025, Loss: 0.187548 * Train accuracy / confusion: 92.88% / [[336, 15, 7], [18, 242, 5], [3, 9, 165]], * Val accuracy / confusion: 57.88% / [[156, 57, 17], [59, 95, 21], [24, 41, 50]] ------------------------------ Epoch 765 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.617697 - Iter 024 / 025, Loss: 0.151751 * Train accuracy / confusion: 93.75% / [[344, 8, 3], [16, 244, 10], [5, 8, 162]], * Val accuracy / confusion: 57.88% / [[155, 52, 23], [55, 99, 21], [23, 45, 47]] ------------------------------ Epoch 766 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.121063 - Iter 024 / 025, Loss: 0.292527 * Train accuracy / confusion: 93.38% / [[340, 13, 4], [18, 243, 4], [7, 7, 164]], * Val accuracy / confusion: 60.58% / [[165, 41, 24], [55, 104, 16], [21, 48, 46]] ------------------------------ Epoch 767 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.211398 - Iter 024 / 025, Loss: 0.199446 * Train accuracy / confusion: 93.75% / [[340, 12, 2], [20, 246, 4], [5, 7, 164]], * Val accuracy / confusion: 59.81% / [[168, 47, 15], [61, 93, 21], [24, 41, 50]] ------------------------------ Epoch 768 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.096461 - Iter 024 / 025, Loss: 0.099653 * Train accuracy / confusion: 92.75% / [[344, 8, 5], [23, 236, 9], [6, 7, 162]], * Val accuracy / confusion: 55.58% / [[151, 50, 29], [48, 87, 40], [24, 40, 51]] ------------------------------ Epoch 769 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.089562 - Iter 024 / 025, Loss: 0.076163 * Train accuracy / confusion: 94.88% / [[348, 11, 4], [15, 242, 7], [3, 1, 169]], * Val accuracy / confusion: 60.96% / [[164, 49, 17], [44, 104, 27], [19, 47, 49]] ------------------------------ Epoch 770 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.184559 - Iter 024 / 025, Loss: 0.130375 * Train accuracy / confusion: 93.00% / [[344, 12, 3], [18, 237, 10], [5, 8, 163]], * Val accuracy / confusion: 59.81% / [[156, 51, 23], [52, 104, 19], [19, 45, 51]] ------------------------------ Epoch 771 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.113159 - Iter 024 / 025, Loss: 0.214193 * Train accuracy / confusion: 92.38% / [[331, 17, 5], [20, 242, 6], [6, 7, 166]], * Val accuracy / confusion: 58.46% / [[160, 46, 24], [60, 93, 22], [18, 46, 51]] ------------------------------ Epoch 772 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.143832 - Iter 024 / 025, Loss: 0.271216 * Train accuracy / confusion: 94.12% / [[344, 11, 3], [19, 245, 5], [2, 7, 164]], * Val accuracy / confusion: 59.62% / [[162, 43, 25], [57, 96, 22], [21, 42, 52]] ------------------------------ Epoch 773 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.057453 - Iter 024 / 025, Loss: 0.121796 * Train accuracy / confusion: 93.62% / [[331, 18, 5], [17, 252, 1], [5, 5, 166]], * Val accuracy / confusion: 58.85% / [[157, 49, 24], [43, 98, 34], [19, 45, 51]] ------------------------------ Epoch 774 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.196018 - Iter 024 / 025, Loss: 0.166650 * Train accuracy / confusion: 93.75% / [[347, 11, 3], [21, 236, 7], [3, 5, 167]], * Val accuracy / confusion: 58.46% / [[161, 48, 21], [59, 97, 19], [27, 42, 46]] ------------------------------ Epoch 775 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.182491 - Iter 024 / 025, Loss: 0.100414 * Train accuracy / confusion: 94.00% / [[338, 8, 8], [14, 242, 9], [3, 6, 172]], * Val accuracy / confusion: 57.88% / [[159, 52, 19], [62, 97, 16], [21, 49, 45]] ------------------------------ Epoch 776 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.223782 - Iter 024 / 025, Loss: 0.103996 * Train accuracy / confusion: 94.38% / [[346, 8, 5], [18, 244, 5], [5, 4, 165]], * Val accuracy / confusion: 58.85% / [[159, 51, 20], [53, 100, 22], [18, 50, 47]] ------------------------------ Epoch 777 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.196102 - Iter 024 / 025, Loss: 0.392410 * Train accuracy / confusion: 94.75% / [[343, 13, 1], [16, 244, 4], [2, 6, 171]], * Val accuracy / confusion: 58.65% / [[158, 52, 20], [47, 100, 28], [20, 48, 47]] ------------------------------ Epoch 778 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.146944 - Iter 024 / 025, Loss: 0.227501 * Train accuracy / confusion: 93.75% / [[336, 12, 7], [20, 245, 2], [5, 4, 169]], * Val accuracy / confusion: 57.31% / [[152, 55, 23], [53, 100, 22], [19, 50, 46]] ------------------------------ Epoch 779 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.142338 - Iter 024 / 025, Loss: 0.134743 * Train accuracy / confusion: 92.75% / [[337, 18, 6], [13, 238, 11], [7, 3, 167]], * Val accuracy / confusion: 59.04% / [[163, 49, 18], [53, 98, 24], [19, 50, 46]] ------------------------------ Epoch 780 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.116352 - Iter 024 / 025, Loss: 0.153968 * Train accuracy / confusion: 94.62% / [[341, 12, 4], [12, 246, 8], [3, 4, 170]], * Val accuracy / confusion: 61.15% / [[168, 43, 19], [54, 96, 25], [24, 37, 54]] ------------------------------ Epoch 781 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.086929 - Iter 024 / 025, Loss: 0.208370 * Train accuracy / confusion: 93.50% / [[343, 10, 5], [24, 236, 6], [2, 5, 169]], * Val accuracy / confusion: 59.62% / [[169, 40, 21], [50, 96, 29], [23, 47, 45]] ------------------------------ Epoch 782 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.353181 - Iter 024 / 025, Loss: 0.153026 * Train accuracy / confusion: 93.62% / [[339, 16, 3], [13, 244, 8], [3, 8, 166]], * Val accuracy / confusion: 59.62% / [[164, 46, 20], [58, 93, 24], [25, 37, 53]] ------------------------------ Epoch 783 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.083319 - Iter 024 / 025, Loss: 0.163550 * Train accuracy / confusion: 95.00% / [[352, 6, 2], [9, 248, 8], [4, 11, 160]], * Val accuracy / confusion: 56.73% / [[151, 56, 23], [48, 105, 22], [22, 54, 39]] ------------------------------ Epoch 784 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.373372 - Iter 024 / 025, Loss: 0.327878 * Train accuracy / confusion: 93.62% / [[342, 10, 4], [19, 245, 6], [5, 7, 162]], * Val accuracy / confusion: 58.27% / [[154, 57, 19], [48, 103, 24], [20, 49, 46]] ------------------------------ Epoch 785 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.147057 - Iter 024 / 025, Loss: 0.086537 * Train accuracy / confusion: 94.50% / [[342, 8, 7], [12, 253, 4], [7, 6, 161]], * Val accuracy / confusion: 61.15% / [[162, 48, 20], [44, 104, 27], [16, 47, 52]] ------------------------------ Epoch 786 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.133170 - Iter 024 / 025, Loss: 0.194581 * Train accuracy / confusion: 94.62% / [[343, 10, 3], [18, 250, 3], [3, 6, 164]], * Val accuracy / confusion: 55.96% / [[152, 53, 25], [50, 92, 33], [26, 42, 47]] ------------------------------ Epoch 787 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.205721 - Iter 024 / 025, Loss: 0.196937 * Train accuracy / confusion: 93.88% / [[329, 13, 7], [16, 254, 5], [5, 3, 168]], * Val accuracy / confusion: 59.23% / [[160, 44, 26], [57, 96, 22], [22, 41, 52]] ------------------------------ Epoch 788 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.134526 - Iter 024 / 025, Loss: 0.091065 * Train accuracy / confusion: 93.12% / [[336, 12, 4], [14, 245, 11], [5, 9, 164]], * Val accuracy / confusion: 60.19% / [[162, 51, 17], [61, 94, 20], [23, 35, 57]] ------------------------------ Epoch 789 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.213024 - Iter 024 / 025, Loss: 0.100207 * Train accuracy / confusion: 95.00% / [[340, 10, 1], [15, 250, 6], [2, 6, 170]], * Val accuracy / confusion: 59.62% / [[175, 42, 13], [65, 92, 18], [25, 47, 43]] ------------------------------ Epoch 790 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.034704 - Iter 024 / 025, Loss: 0.186766 * Train accuracy / confusion: 93.75% / [[339, 13, 5], [14, 246, 6], [5, 7, 165]], * Val accuracy / confusion: 59.23% / [[158, 50, 22], [55, 97, 23], [22, 40, 53]] ------------------------------ Epoch 791 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.208815 - Iter 024 / 025, Loss: 0.036946 * Train accuracy / confusion: 95.00% / [[336, 5, 8], [13, 254, 5], [3, 6, 170]], * Val accuracy / confusion: 58.27% / [[153, 50, 27], [43, 107, 25], [20, 52, 43]] ------------------------------ Epoch 792 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.261673 - Iter 024 / 025, Loss: 0.033692 * Train accuracy / confusion: 94.12% / [[343, 15, 1], [15, 242, 7], [5, 4, 168]], * Val accuracy / confusion: 59.62% / [[161, 50, 19], [48, 98, 29], [22, 42, 51]] ------------------------------ Epoch 793 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.107328 - Iter 024 / 025, Loss: 0.131776 * Train accuracy / confusion: 94.75% / [[344, 6, 4], [15, 252, 5], [7, 5, 162]], * Val accuracy / confusion: 58.65% / [[161, 46, 23], [54, 94, 27], [23, 42, 50]] ------------------------------ Epoch 794 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.087668 - Iter 024 / 025, Loss: 0.212373 * Train accuracy / confusion: 93.88% / [[340, 9, 5], [18, 247, 4], [8, 5, 164]], * Val accuracy / confusion: 58.85% / [[159, 46, 25], [53, 94, 28], [25, 37, 53]] ------------------------------ Epoch 795 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.110433 - Iter 024 / 025, Loss: 0.101066 * Train accuracy / confusion: 94.00% / [[345, 11, 2], [25, 235, 5], [1, 4, 172]], * Val accuracy / confusion: 60.96% / [[157, 48, 25], [51, 104, 20], [22, 37, 56]] ------------------------------ Epoch 796 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.061804 - Iter 024 / 025, Loss: 0.314770 * Train accuracy / confusion: 94.25% / [[340, 15, 4], [10, 249, 5], [8, 4, 165]], * Val accuracy / confusion: 57.50% / [[161, 50, 19], [58, 93, 24], [20, 50, 45]] ------------------------------ Epoch 797 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.051339 - Iter 024 / 025, Loss: 0.178222 * Train accuracy / confusion: 95.38% / [[346, 7, 3], [10, 250, 10], [2, 5, 167]], * Val accuracy / confusion: 59.04% / [[163, 43, 24], [48, 98, 29], [24, 45, 46]] ------------------------------ Epoch 798 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.148263 - Iter 024 / 025, Loss: 0.146589 * Train accuracy / confusion: 93.25% / [[334, 17, 5], [17, 243, 8], [2, 5, 169]], * Val accuracy / confusion: 56.73% / [[152, 48, 30], [55, 88, 32], [21, 39, 55]] ------------------------------ Epoch 799 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.031530 - Iter 024 / 025, Loss: 0.109117 * Train accuracy / confusion: 94.25% / [[346, 10, 2], [17, 243, 7], [4, 6, 165]], * Val accuracy / confusion: 58.27% / [[160, 52, 18], [65, 95, 15], [25, 42, 48]] ------------------------------ Epoch 800 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.247714 - Iter 024 / 025, Loss: 0.141799 * Train accuracy / confusion: 94.00% / [[338, 18, 4], [16, 245, 3], [5, 2, 169]], * Val accuracy / confusion: 57.69% / [[159, 45, 26], [61, 94, 20], [22, 46, 47]] ------------------------------ Epoch 801 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.116393 - Iter 024 / 025, Loss: 0.091613 * Train accuracy / confusion: 93.62% / [[340, 18, 3], [21, 239, 4], [2, 3, 170]], * Val accuracy / confusion: 56.92% / [[160, 46, 24], [58, 93, 24], [24, 48, 43]] ------------------------------ Epoch 802 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.242301 - Iter 024 / 025, Loss: 0.111442 * Train accuracy / confusion: 94.12% / [[332, 11, 9], [16, 247, 4], [2, 5, 174]], * Val accuracy / confusion: 58.85% / [[162, 42, 26], [57, 95, 23], [23, 43, 49]] ------------------------------ Epoch 803 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.117483 - Iter 024 / 025, Loss: 0.237075 * Train accuracy / confusion: 94.38% / [[339, 9, 8], [15, 247, 6], [3, 4, 169]], * Val accuracy / confusion: 57.50% / [[157, 46, 27], [48, 93, 34], [22, 44, 49]] ------------------------------ Epoch 804 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.177959 - Iter 024 / 025, Loss: 0.193428 * Train accuracy / confusion: 94.12% / [[342, 7, 6], [16, 247, 3], [6, 9, 164]], * Val accuracy / confusion: 59.81% / [[167, 36, 27], [53, 92, 30], [26, 37, 52]] ------------------------------ Epoch 805 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.117259 - Iter 024 / 025, Loss: 0.260409 * Train accuracy / confusion: 95.88% / [[348, 9, 3], [13, 251, 1], [3, 4, 168]], * Val accuracy / confusion: 56.73% / [[158, 52, 20], [59, 92, 24], [20, 50, 45]] ------------------------------ Epoch 806 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.159013 - Iter 024 / 025, Loss: 0.314167 * Train accuracy / confusion: 95.75% / [[350, 6, 2], [15, 250, 4], [0, 7, 166]], * Val accuracy / confusion: 60.77% / [[157, 48, 25], [41, 109, 25], [16, 49, 50]] ------------------------------ Epoch 807 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.192189 - Iter 024 / 025, Loss: 0.151858 * Train accuracy / confusion: 93.75% / [[343, 13, 3], [22, 242, 2], [5, 5, 165]], * Val accuracy / confusion: 59.04% / [[164, 44, 22], [58, 93, 24], [21, 44, 50]] ------------------------------ Epoch 808 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.311906 - Iter 024 / 025, Loss: 0.143107 * Train accuracy / confusion: 94.50% / [[342, 10, 5], [17, 244, 8], [3, 1, 170]], * Val accuracy / confusion: 56.92% / [[153, 51, 26], [56, 93, 26], [25, 40, 50]] ------------------------------ Epoch 809 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.172918 - Iter 024 / 025, Loss: 0.051599 * Train accuracy / confusion: 94.62% / [[341, 11, 3], [14, 247, 8], [3, 4, 169]], * Val accuracy / confusion: 58.08% / [[161, 43, 26], [50, 88, 37], [23, 39, 53]] ------------------------------ Epoch 810 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.068182 - Iter 024 / 025, Loss: 0.212368 * Train accuracy / confusion: 94.88% / [[342, 7, 4], [14, 251, 5], [7, 4, 166]], * Val accuracy / confusion: 59.42% / [[171, 40, 19], [52, 91, 32], [22, 46, 47]] ------------------------------ Epoch 811 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.315110 - Iter 024 / 025, Loss: 0.099727 * Train accuracy / confusion: 92.62% / [[336, 16, 8], [17, 242, 4], [9, 5, 163]], * Val accuracy / confusion: 55.19% / [[152, 55, 23], [56, 88, 31], [17, 51, 47]] ------------------------------ Epoch 812 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.110690 - Iter 024 / 025, Loss: 0.157179 * Train accuracy / confusion: 94.00% / [[335, 15, 7], [16, 248, 3], [2, 5, 169]], * Val accuracy / confusion: 57.50% / [[154, 52, 24], [54, 95, 26], [24, 41, 50]] ------------------------------ Epoch 813 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.186849 - Iter 024 / 025, Loss: 0.087224 * Train accuracy / confusion: 94.25% / [[342, 13, 3], [16, 243, 7], [3, 4, 169]], * Val accuracy / confusion: 59.62% / [[162, 39, 29], [56, 92, 27], [22, 37, 56]] ------------------------------ Epoch 814 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.163879 - Iter 024 / 025, Loss: 0.108481 * Train accuracy / confusion: 94.75% / [[342, 10, 6], [15, 250, 2], [4, 5, 166]], * Val accuracy / confusion: 61.92% / [[167, 48, 15], [48, 104, 23], [22, 42, 51]] ------------------------------ Epoch 815 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.127901 - Iter 024 / 025, Loss: 0.093572 * Train accuracy / confusion: 95.50% / [[350, 6, 4], [15, 245, 4], [3, 4, 169]], * Val accuracy / confusion: 58.08% / [[162, 46, 22], [55, 93, 27], [28, 40, 47]] ------------------------------ Epoch 816 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.220237 - Iter 024 / 025, Loss: 0.044400 * Train accuracy / confusion: 94.75% / [[345, 7, 3], [14, 245, 7], [4, 7, 168]], * Val accuracy / confusion: 60.00% / [[157, 47, 26], [53, 105, 17], [24, 41, 50]] ------------------------------ Epoch 817 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.168167 - Iter 024 / 025, Loss: 0.037433 * Train accuracy / confusion: 95.25% / [[344, 13, 1], [17, 244, 3], [2, 2, 174]], * Val accuracy / confusion: 59.62% / [[167, 42, 21], [57, 94, 24], [22, 44, 49]] ------------------------------ Epoch 818 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.073306 - Iter 024 / 025, Loss: 0.280813 * Train accuracy / confusion: 94.12% / [[342, 11, 6], [14, 252, 4], [4, 8, 159]], * Val accuracy / confusion: 60.77% / [[169, 42, 19], [68, 88, 19], [27, 29, 59]] ------------------------------ Epoch 819 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.053602 - Iter 024 / 025, Loss: 0.091425 * Train accuracy / confusion: 94.75% / [[337, 10, 5], [14, 255, 2], [5, 6, 166]], * Val accuracy / confusion: 58.08% / [[157, 49, 24], [58, 98, 19], [24, 44, 47]] ------------------------------ Epoch 820 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.118602 - Iter 024 / 025, Loss: 0.162764 * Train accuracy / confusion: 93.88% / [[342, 15, 3], [20, 237, 5], [5, 1, 172]], * Val accuracy / confusion: 57.31% / [[156, 54, 20], [61, 89, 25], [21, 41, 53]] ------------------------------ Epoch 821 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.123343 - Iter 024 / 025, Loss: 0.147612 * Train accuracy / confusion: 93.50% / [[340, 12, 2], [22, 237, 7], [5, 4, 171]], * Val accuracy / confusion: 57.50% / [[152, 50, 28], [51, 94, 30], [20, 42, 53]] ------------------------------ Epoch 822 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.130995 - Iter 024 / 025, Loss: 0.133637 * Train accuracy / confusion: 95.12% / [[341, 16, 3], [12, 254, 3], [4, 1, 166]], * Val accuracy / confusion: 55.58% / [[156, 44, 30], [62, 79, 34], [24, 37, 54]] ------------------------------ Epoch 823 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.086837 - Iter 024 / 025, Loss: 0.063309 * Train accuracy / confusion: 95.50% / [[349, 9, 2], [14, 246, 4], [1, 6, 169]], * Val accuracy / confusion: 57.31% / [[153, 55, 22], [56, 96, 23], [17, 49, 49]] ------------------------------ Epoch 824 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.059309 - Iter 024 / 025, Loss: 0.313771 * Train accuracy / confusion: 93.88% / [[342, 9, 4], [17, 240, 10], [3, 6, 169]], * Val accuracy / confusion: 61.35% / [[165, 46, 19], [50, 104, 21], [26, 39, 50]] ------------------------------ Epoch 825 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.189981 - Iter 024 / 025, Loss: 0.061198 * Train accuracy / confusion: 94.38% / [[340, 13, 3], [13, 246, 7], [5, 4, 169]], * Val accuracy / confusion: 57.50% / [[161, 54, 15], [62, 93, 20], [27, 43, 45]] ------------------------------ Epoch 826 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.186429 - Iter 024 / 025, Loss: 0.096682 * Train accuracy / confusion: 94.12% / [[347, 7, 2], [16, 241, 9], [3, 10, 165]], * Val accuracy / confusion: 59.62% / [[164, 46, 20], [46, 103, 26], [23, 49, 43]] ------------------------------ Epoch 827 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.218948 - Iter 024 / 025, Loss: 0.207423 * Train accuracy / confusion: 94.00% / [[338, 13, 2], [17, 249, 7], [7, 2, 165]], * Val accuracy / confusion: 59.81% / [[165, 49, 16], [59, 96, 20], [26, 39, 50]] ------------------------------ Epoch 828 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.263114 - Iter 024 / 025, Loss: 0.156130 * Train accuracy / confusion: 94.88% / [[338, 11, 3], [10, 252, 7], [5, 5, 169]], * Val accuracy / confusion: 57.88% / [[156, 47, 27], [41, 97, 37], [21, 46, 48]] ------------------------------ Epoch 829 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.065312 - Iter 024 / 025, Loss: 0.069020 * Train accuracy / confusion: 94.62% / [[345, 10, 2], [18, 246, 5], [2, 6, 166]], * Val accuracy / confusion: 57.31% / [[154, 53, 23], [52, 97, 26], [26, 42, 47]] ------------------------------ Epoch 830 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.031768 - Iter 024 / 025, Loss: 0.171365 * Train accuracy / confusion: 95.12% / [[345, 8, 3], [13, 252, 2], [4, 9, 164]], * Val accuracy / confusion: 58.85% / [[162, 50, 18], [56, 97, 22], [17, 51, 47]] ------------------------------ Epoch 831 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.159203 - Iter 024 / 025, Loss: 0.267651 * Train accuracy / confusion: 95.00% / [[340, 12, 4], [13, 246, 6], [1, 4, 174]], * Val accuracy / confusion: 60.38% / [[161, 45, 24], [46, 106, 23], [20, 48, 47]] ------------------------------ Epoch 832 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.030838 - Iter 024 / 025, Loss: 0.352807 * Train accuracy / confusion: 95.88% / [[347, 7, 4], [13, 248, 5], [4, 0, 172]], * Val accuracy / confusion: 58.46% / [[166, 46, 18], [64, 93, 18], [22, 48, 45]] ------------------------------ Epoch 833 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.124801 - Iter 024 / 025, Loss: 0.381009 * Train accuracy / confusion: 94.38% / [[340, 13, 8], [9, 247, 6], [3, 6, 168]], * Val accuracy / confusion: 57.88% / [[161, 42, 27], [57, 99, 19], [25, 49, 41]] ------------------------------ Epoch 834 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.304959 - Iter 024 / 025, Loss: 0.137473 * Train accuracy / confusion: 95.88% / [[347, 8, 3], [12, 248, 3], [1, 6, 172]], * Val accuracy / confusion: 59.23% / [[168, 37, 25], [55, 93, 27], [28, 40, 47]] ------------------------------ Epoch 835 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.071641 - Iter 024 / 025, Loss: 0.108783 * Train accuracy / confusion: 94.88% / [[346, 10, 1], [16, 243, 8], [2, 4, 170]], * Val accuracy / confusion: 60.96% / [[168, 41, 21], [61, 94, 20], [25, 35, 55]] ------------------------------ Epoch 836 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.164758 - Iter 024 / 025, Loss: 0.051084 * Train accuracy / confusion: 94.88% / [[345, 9, 2], [14, 245, 8], [5, 3, 169]], * Val accuracy / confusion: 59.62% / [[162, 46, 22], [55, 99, 21], [19, 47, 49]] ------------------------------ Epoch 837 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.104261 - Iter 024 / 025, Loss: 0.312135 * Train accuracy / confusion: 94.75% / [[337, 15, 4], [10, 256, 3], [5, 5, 165]], * Val accuracy / confusion: 60.58% / [[163, 45, 22], [46, 103, 26], [18, 48, 49]] ------------------------------ Epoch 838 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.240584 - Iter 024 / 025, Loss: 0.133576 * Train accuracy / confusion: 94.62% / [[341, 9, 6], [15, 249, 6], [3, 4, 167]], * Val accuracy / confusion: 55.38% / [[150, 53, 27], [48, 96, 31], [22, 51, 42]] ------------------------------ Epoch 839 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.241360 - Iter 024 / 025, Loss: 0.099542 * Train accuracy / confusion: 93.75% / [[340, 14, 4], [18, 242, 6], [6, 2, 168]], * Val accuracy / confusion: 55.19% / [[160, 49, 21], [61, 82, 32], [28, 42, 45]] ------------------------------ Epoch 840 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.078074 - Iter 024 / 025, Loss: 0.305417 * Train accuracy / confusion: 96.12% / [[350, 6, 3], [9, 253, 5], [1, 7, 166]], * Val accuracy / confusion: 60.19% / [[165, 48, 17], [51, 103, 21], [23, 47, 45]] ------------------------------ Epoch 841 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.064541 - Iter 024 / 025, Loss: 0.372674 * Train accuracy / confusion: 94.25% / [[339, 13, 3], [15, 245, 7], [4, 4, 170]], * Val accuracy / confusion: 58.27% / [[159, 44, 27], [55, 96, 24], [23, 44, 48]] ------------------------------ Epoch 842 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.309123 - Iter 024 / 025, Loss: 0.107899 * Train accuracy / confusion: 93.88% / [[339, 12, 4], [21, 243, 2], [3, 7, 169]], * Val accuracy / confusion: 58.27% / [[158, 43, 29], [52, 97, 26], [24, 43, 48]] ------------------------------ Epoch 843 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.243188 - Iter 024 / 025, Loss: 0.062825 * Train accuracy / confusion: 94.12% / [[340, 13, 4], [16, 246, 6], [3, 5, 167]], * Val accuracy / confusion: 57.12% / [[152, 53, 25], [58, 94, 23], [21, 43, 51]] ------------------------------ Epoch 844 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.254171 - Iter 024 / 025, Loss: 0.336501 * Train accuracy / confusion: 94.62% / [[336, 13, 3], [14, 250, 5], [5, 3, 171]], * Val accuracy / confusion: 57.69% / [[165, 43, 22], [64, 90, 21], [18, 52, 45]] ------------------------------ Epoch 845 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.062787 - Iter 024 / 025, Loss: 0.149150 * Train accuracy / confusion: 95.75% / [[347, 7, 0], [13, 245, 9], [1, 4, 174]], * Val accuracy / confusion: 60.38% / [[157, 56, 17], [48, 109, 18], [29, 38, 48]] ------------------------------ Epoch 846 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.122393 - Iter 024 / 025, Loss: 0.249504 * Train accuracy / confusion: 94.50% / [[346, 11, 5], [15, 244, 4], [5, 4, 166]], * Val accuracy / confusion: 58.08% / [[157, 47, 26], [56, 96, 23], [22, 44, 49]] ------------------------------ Epoch 847 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.226202 - Iter 024 / 025, Loss: 0.288546 * Train accuracy / confusion: 95.12% / [[336, 12, 6], [8, 258, 1], [6, 6, 167]], * Val accuracy / confusion: 58.65% / [[157, 49, 24], [45, 102, 28], [16, 53, 46]] ------------------------------ Epoch 848 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.353585 - Iter 024 / 025, Loss: 0.055788 * Train accuracy / confusion: 94.38% / [[337, 13, 8], [12, 247, 3], [4, 5, 171]], * Val accuracy / confusion: 58.65% / [[171, 43, 16], [58, 86, 31], [21, 46, 48]] ------------------------------ Epoch 849 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.392724 - Iter 024 / 025, Loss: 0.054168 * Train accuracy / confusion: 94.50% / [[340, 4, 8], [11, 247, 10], [4, 7, 169]], * Val accuracy / confusion: 58.27% / [[164, 38, 28], [62, 87, 26], [26, 37, 52]] ------------------------------ Epoch 850 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.147544 - Iter 024 / 025, Loss: 0.067623 * Train accuracy / confusion: 95.38% / [[339, 12, 3], [13, 252, 3], [1, 5, 172]], * Val accuracy / confusion: 58.46% / [[167, 45, 18], [55, 91, 29], [27, 42, 46]] ------------------------------ Epoch 851 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.088160 - Iter 024 / 025, Loss: 0.217036 * Train accuracy / confusion: 95.00% / [[341, 12, 2], [13, 251, 5], [2, 6, 168]], * Val accuracy / confusion: 60.38% / [[162, 42, 26], [53, 96, 26], [26, 33, 56]] ------------------------------ Epoch 852 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.080571 - Iter 024 / 025, Loss: 0.071568 * Train accuracy / confusion: 94.75% / [[343, 8, 5], [12, 249, 4], [7, 6, 166]], * Val accuracy / confusion: 56.73% / [[157, 45, 28], [61, 91, 23], [26, 42, 47]] ------------------------------ Epoch 853 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.165663 - Iter 024 / 025, Loss: 0.162450 * Train accuracy / confusion: 96.12% / [[346, 9, 0], [9, 257, 6], [1, 6, 166]], * Val accuracy / confusion: 57.69% / [[161, 39, 30], [57, 88, 30], [21, 43, 51]] ------------------------------ Epoch 854 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.076018 - Iter 024 / 025, Loss: 0.279464 * Train accuracy / confusion: 95.12% / [[350, 8, 1], [22, 243, 3], [0, 5, 168]], * Val accuracy / confusion: 57.31% / [[169, 40, 21], [56, 81, 38], [29, 38, 48]] ------------------------------ Epoch 855 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.296356 - Iter 024 / 025, Loss: 0.061817 * Train accuracy / confusion: 95.75% / [[343, 8, 3], [12, 254, 2], [4, 5, 169]], * Val accuracy / confusion: 57.88% / [[167, 42, 21], [68, 92, 15], [21, 52, 42]] ------------------------------ Epoch 856 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.232826 - Iter 024 / 025, Loss: 0.149446 * Train accuracy / confusion: 95.00% / [[338, 11, 5], [15, 253, 2], [3, 4, 169]], * Val accuracy / confusion: 57.69% / [[160, 43, 27], [59, 90, 26], [24, 41, 50]] ------------------------------ Epoch 857 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.153781 - Iter 024 / 025, Loss: 0.366911 * Train accuracy / confusion: 94.00% / [[340, 12, 6], [17, 247, 4], [5, 4, 165]], * Val accuracy / confusion: 58.27% / [[156, 47, 27], [55, 102, 18], [20, 50, 45]] ------------------------------ Epoch 858 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.080765 - Iter 024 / 025, Loss: 0.075572 * Train accuracy / confusion: 94.50% / [[337, 12, 2], [17, 249, 3], [7, 3, 170]], * Val accuracy / confusion: 59.04% / [[162, 43, 25], [67, 92, 16], [20, 42, 53]] ------------------------------ Epoch 859 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.066002 - Iter 024 / 025, Loss: 0.254672 * Train accuracy / confusion: 95.88% / [[348, 6, 4], [11, 250, 5], [4, 3, 169]], * Val accuracy / confusion: 57.69% / [[152, 51, 27], [56, 98, 21], [16, 49, 50]] ------------------------------ Epoch 860 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.060032 - Iter 024 / 025, Loss: 0.202175 * Train accuracy / confusion: 96.38% / [[348, 8, 0], [14, 253, 3], [2, 2, 170]], * Val accuracy / confusion: 58.27% / [[153, 52, 25], [52, 101, 22], [23, 43, 49]] ------------------------------ Epoch 861 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.221462 - Iter 024 / 025, Loss: 0.204214 * Train accuracy / confusion: 94.50% / [[338, 11, 7], [12, 251, 6], [7, 1, 167]], * Val accuracy / confusion: 59.42% / [[160, 48, 22], [50, 97, 28], [24, 39, 52]] ------------------------------ Epoch 862 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.085344 - Iter 024 / 025, Loss: 0.105224 * Train accuracy / confusion: 93.88% / [[337, 13, 5], [15, 247, 7], [4, 5, 167]], * Val accuracy / confusion: 59.42% / [[160, 48, 22], [61, 93, 21], [21, 38, 56]] ------------------------------ Epoch 863 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.203020 - Iter 024 / 025, Loss: 0.174775 * Train accuracy / confusion: 95.62% / [[357, 5, 1], [15, 246, 4], [5, 5, 162]], * Val accuracy / confusion: 59.42% / [[159, 47, 24], [61, 99, 15], [17, 47, 51]] ------------------------------ Epoch 864 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.121648 - Iter 024 / 025, Loss: 0.020094 * Train accuracy / confusion: 92.88% / [[336, 14, 6], [19, 242, 6], [2, 10, 165]], * Val accuracy / confusion: 59.81% / [[159, 51, 20], [46, 101, 28], [22, 42, 51]] ------------------------------ Epoch 865 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.055437 - Iter 024 / 025, Loss: 0.191501 * Train accuracy / confusion: 94.62% / [[339, 10, 7], [11, 249, 7], [5, 3, 169]], * Val accuracy / confusion: 59.04% / [[157, 46, 27], [49, 98, 28], [18, 45, 52]] ------------------------------ Epoch 866 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.040883 - Iter 024 / 025, Loss: 0.138523 * Train accuracy / confusion: 96.12% / [[348, 6, 0], [13, 251, 6], [3, 3, 170]], * Val accuracy / confusion: 58.85% / [[160, 50, 20], [56, 99, 20], [23, 45, 47]] ------------------------------ Epoch 867 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.208440 - Iter 024 / 025, Loss: 0.032013 * Train accuracy / confusion: 94.75% / [[351, 7, 2], [18, 242, 4], [4, 7, 165]], * Val accuracy / confusion: 60.77% / [[158, 49, 23], [46, 101, 28], [21, 37, 57]] ------------------------------ Epoch 868 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.207580 - Iter 024 / 025, Loss: 0.179144 * Train accuracy / confusion: 95.88% / [[354, 3, 1], [14, 247, 6], [6, 3, 166]], * Val accuracy / confusion: 62.69% / [[176, 38, 16], [53, 98, 24], [28, 35, 52]] ------------------------------ Epoch 869 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.093418 - Iter 024 / 025, Loss: 0.159548 * Train accuracy / confusion: 94.00% / [[344, 13, 2], [19, 240, 5], [5, 4, 168]], * Val accuracy / confusion: 62.12% / [[169, 39, 22], [51, 100, 24], [18, 43, 54]] ------------------------------ Epoch 870 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.062507 - Iter 024 / 025, Loss: 0.154920 * Train accuracy / confusion: 95.50% / [[342, 11, 3], [13, 250, 6], [0, 3, 172]], * Val accuracy / confusion: 54.81% / [[154, 51, 25], [74, 81, 20], [22, 43, 50]] ------------------------------ Epoch 871 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.193763 - Iter 024 / 025, Loss: 0.127006 * Train accuracy / confusion: 95.62% / [[348, 8, 2], [14, 250, 6], [2, 3, 167]], * Val accuracy / confusion: 57.50% / [[154, 53, 23], [57, 92, 26], [21, 41, 53]] ------------------------------ Epoch 872 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.128905 - Iter 024 / 025, Loss: 0.054670 * Train accuracy / confusion: 96.00% / [[347, 9, 2], [11, 254, 3], [2, 5, 167]], * Val accuracy / confusion: 60.77% / [[167, 45, 18], [54, 102, 19], [23, 45, 47]] ------------------------------ Epoch 873 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.137116 - Iter 024 / 025, Loss: 0.160205 * Train accuracy / confusion: 95.38% / [[347, 5, 3], [18, 248, 6], [3, 2, 168]], * Val accuracy / confusion: 59.62% / [[163, 46, 21], [56, 96, 23], [22, 42, 51]] ------------------------------ Epoch 874 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.575795 - Iter 024 / 025, Loss: 0.348373 * Train accuracy / confusion: 94.12% / [[332, 14, 4], [14, 257, 1], [6, 8, 164]], * Val accuracy / confusion: 58.08% / [[169, 42, 19], [66, 81, 28], [28, 35, 52]] ------------------------------ Epoch 875 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.218448 - Iter 024 / 025, Loss: 0.065306 * Train accuracy / confusion: 96.12% / [[348, 7, 1], [5, 254, 6], [5, 7, 167]], * Val accuracy / confusion: 57.12% / [[158, 49, 23], [62, 91, 22], [22, 45, 48]] ------------------------------ Epoch 876 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.063598 - Iter 024 / 025, Loss: 0.080706 * Train accuracy / confusion: 94.38% / [[344, 13, 2], [18, 247, 1], [4, 7, 164]], * Val accuracy / confusion: 60.77% / [[164, 49, 17], [50, 101, 24], [22, 42, 51]] ------------------------------ Epoch 877 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.235116 - Iter 024 / 025, Loss: 0.049547 * Train accuracy / confusion: 95.38% / [[346, 6, 5], [7, 251, 7], [4, 8, 166]], * Val accuracy / confusion: 57.69% / [[157, 46, 27], [65, 92, 18], [18, 46, 51]] ------------------------------ Epoch 878 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.163299 - Iter 024 / 025, Loss: 0.081694 * Train accuracy / confusion: 96.62% / [[351, 6, 2], [11, 250, 5], [1, 2, 172]], * Val accuracy / confusion: 59.62% / [[161, 44, 25], [53, 94, 28], [21, 39, 55]] ------------------------------ Epoch 879 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.190590 - Iter 024 / 025, Loss: 0.120776 * Train accuracy / confusion: 96.25% / [[353, 3, 2], [11, 246, 7], [1, 6, 171]], * Val accuracy / confusion: 57.88% / [[162, 46, 22], [61, 92, 22], [20, 48, 47]] ------------------------------ Epoch 880 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.183759 - Iter 024 / 025, Loss: 0.081238 * Train accuracy / confusion: 96.00% / [[345, 2, 7], [12, 253, 5], [3, 3, 170]], * Val accuracy / confusion: 55.77% / [[156, 55, 19], [59, 92, 24], [21, 52, 42]] ------------------------------ Epoch 881 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.085873 - Iter 024 / 025, Loss: 0.053583 * Train accuracy / confusion: 94.25% / [[339, 10, 7], [16, 247, 2], [6, 5, 168]], * Val accuracy / confusion: 57.69% / [[156, 56, 18], [55, 99, 21], [22, 48, 45]] ------------------------------ Epoch 882 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.193075 - Iter 024 / 025, Loss: 0.264286 * Train accuracy / confusion: 94.50% / [[350, 7, 1], [18, 240, 10], [4, 4, 166]], * Val accuracy / confusion: 60.58% / [[164, 47, 19], [52, 99, 24], [23, 40, 52]] ------------------------------ Epoch 883 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.035532 - Iter 024 / 025, Loss: 0.018113 * Train accuracy / confusion: 96.12% / [[344, 7, 3], [10, 257, 4], [1, 6, 168]], * Val accuracy / confusion: 58.85% / [[160, 49, 21], [57, 102, 16], [21, 50, 44]] ------------------------------ Epoch 884 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.117685 - Iter 024 / 025, Loss: 0.081202 * Train accuracy / confusion: 95.00% / [[346, 11, 3], [11, 248, 6], [6, 3, 166]], * Val accuracy / confusion: 60.38% / [[161, 53, 16], [48, 105, 22], [24, 43, 48]] ------------------------------ Epoch 885 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.044961 - Iter 024 / 025, Loss: 0.091079 * Train accuracy / confusion: 95.00% / [[346, 9, 3], [14, 252, 3], [4, 7, 162]], * Val accuracy / confusion: 58.27% / [[155, 49, 26], [56, 95, 24], [25, 37, 53]] ------------------------------ Epoch 886 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.299891 - Iter 024 / 025, Loss: 0.132238 * Train accuracy / confusion: 94.25% / [[338, 10, 8], [13, 248, 5], [3, 7, 168]], * Val accuracy / confusion: 59.23% / [[151, 54, 25], [45, 106, 24], [22, 42, 51]] ------------------------------ Epoch 887 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.116574 - Iter 024 / 025, Loss: 0.263547 * Train accuracy / confusion: 94.12% / [[346, 8, 2], [21, 238, 10], [4, 2, 169]], * Val accuracy / confusion: 60.38% / [[158, 49, 23], [46, 103, 26], [20, 42, 53]] ------------------------------ Epoch 888 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.134593 - Iter 024 / 025, Loss: 0.080333 * Train accuracy / confusion: 94.62% / [[338, 15, 3], [10, 253, 6], [4, 5, 166]], * Val accuracy / confusion: 59.23% / [[159, 49, 22], [56, 103, 16], [24, 45, 46]] ------------------------------ Epoch 889 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.138531 - Iter 024 / 025, Loss: 0.224357 * Train accuracy / confusion: 93.75% / [[341, 16, 4], [18, 244, 3], [4, 5, 165]], * Val accuracy / confusion: 58.65% / [[162, 43, 25], [56, 97, 22], [22, 47, 46]] ------------------------------ Epoch 890 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.063644 - Iter 024 / 025, Loss: 0.046506 * Train accuracy / confusion: 96.38% / [[353, 4, 2], [16, 251, 2], [1, 4, 167]], * Val accuracy / confusion: 55.96% / [[164, 41, 25], [62, 82, 31], [27, 43, 45]] ------------------------------ Epoch 891 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.377570 - Iter 024 / 025, Loss: 0.152656 * Train accuracy / confusion: 95.25% / [[338, 8, 9], [10, 253, 5], [2, 4, 171]], * Val accuracy / confusion: 57.88% / [[162, 46, 22], [53, 95, 27], [24, 47, 44]] ------------------------------ Epoch 892 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.126762 - Iter 024 / 025, Loss: 0.129762 * Train accuracy / confusion: 95.12% / [[345, 8, 3], [14, 248, 4], [5, 5, 168]], * Val accuracy / confusion: 56.92% / [[151, 56, 23], [55, 102, 18], [27, 45, 43]] ------------------------------ Epoch 893 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.261441 - Iter 024 / 025, Loss: 0.260568 * Train accuracy / confusion: 95.00% / [[341, 10, 0], [16, 251, 7], [1, 6, 168]], * Val accuracy / confusion: 60.77% / [[164, 49, 17], [52, 110, 13], [19, 54, 42]] ------------------------------ Epoch 894 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.126984 - Iter 024 / 025, Loss: 0.162515 * Train accuracy / confusion: 94.25% / [[346, 12, 2], [17, 241, 7], [2, 6, 167]], * Val accuracy / confusion: 59.04% / [[162, 47, 21], [67, 95, 13], [22, 43, 50]] ------------------------------ Epoch 895 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.058245 - Iter 024 / 025, Loss: 0.038800 * Train accuracy / confusion: 94.75% / [[342, 10, 5], [18, 245, 2], [3, 4, 171]], * Val accuracy / confusion: 56.15% / [[150, 53, 27], [57, 99, 19], [23, 49, 43]] ------------------------------ Epoch 896 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.274181 - Iter 024 / 025, Loss: 0.371618 * Train accuracy / confusion: 95.38% / [[344, 10, 3], [12, 251, 4], [5, 3, 168]], * Val accuracy / confusion: 59.04% / [[168, 43, 19], [72, 93, 10], [25, 44, 46]] ------------------------------ Epoch 897 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.094625 - Iter 024 / 025, Loss: 0.058538 * Train accuracy / confusion: 95.75% / [[346, 8, 3], [19, 249, 2], [1, 1, 171]], * Val accuracy / confusion: 58.27% / [[157, 54, 19], [58, 99, 18], [23, 45, 47]] ------------------------------ Epoch 898 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.105886 - Iter 024 / 025, Loss: 0.047345 * Train accuracy / confusion: 94.75% / [[338, 12, 1], [16, 245, 7], [1, 5, 175]], * Val accuracy / confusion: 58.08% / [[160, 47, 23], [61, 94, 20], [20, 47, 48]] ------------------------------ Epoch 899 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.074446 - Iter 024 / 025, Loss: 0.193579 * Train accuracy / confusion: 93.38% / [[339, 11, 3], [16, 241, 9], [6, 8, 167]], * Val accuracy / confusion: 58.27% / [[162, 51, 17], [54, 96, 25], [22, 48, 45]] ------------------------------ Epoch 900 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.116739 - Iter 024 / 025, Loss: 0.035195 * Train accuracy / confusion: 95.88% / [[350, 10, 2], [9, 247, 7], [5, 0, 170]], * Val accuracy / confusion: 57.69% / [[152, 52, 26], [42, 109, 24], [23, 53, 39]] ------------------------------ Epoch 901 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.234270 - Iter 024 / 025, Loss: 0.355442 * Train accuracy / confusion: 95.62% / [[348, 4, 4], [12, 256, 2], [4, 9, 161]], * Val accuracy / confusion: 58.27% / [[164, 48, 18], [51, 100, 24], [30, 46, 39]] ------------------------------ Epoch 902 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.126898 - Iter 024 / 025, Loss: 0.093311 * Train accuracy / confusion: 96.75% / [[354, 5, 1], [9, 250, 4], [3, 4, 170]], * Val accuracy / confusion: 56.54% / [[161, 47, 22], [62, 86, 27], [26, 42, 47]] ------------------------------ Epoch 903 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.040434 - Iter 024 / 025, Loss: 0.102996 * Train accuracy / confusion: 95.50% / [[342, 5, 8], [13, 256, 2], [4, 4, 166]], * Val accuracy / confusion: 59.42% / [[163, 49, 18], [52, 97, 26], [22, 44, 49]] ------------------------------ Epoch 904 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.074729 - Iter 024 / 025, Loss: 0.148301 * Train accuracy / confusion: 95.75% / [[342, 9, 2], [11, 254, 4], [5, 3, 170]], * Val accuracy / confusion: 56.73% / [[156, 52, 22], [50, 89, 36], [19, 46, 50]] ------------------------------ Epoch 905 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.106799 - Iter 024 / 025, Loss: 0.343477 * Train accuracy / confusion: 96.25% / [[347, 4, 5], [11, 252, 4], [2, 4, 171]], * Val accuracy / confusion: 57.88% / [[144, 58, 28], [41, 104, 30], [19, 43, 53]] ------------------------------ Epoch 906 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.108261 - Iter 024 / 025, Loss: 0.040456 * Train accuracy / confusion: 95.12% / [[347, 6, 3], [23, 239, 3], [2, 2, 175]], * Val accuracy / confusion: 58.46% / [[166, 37, 27], [55, 87, 33], [21, 43, 51]] ------------------------------ Epoch 907 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.070666 - Iter 024 / 025, Loss: 0.065038 * Train accuracy / confusion: 96.12% / [[352, 6, 4], [13, 246, 3], [1, 4, 171]], * Val accuracy / confusion: 56.35% / [[154, 49, 27], [57, 96, 22], [23, 49, 43]] ------------------------------ Epoch 908 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.025986 - Iter 024 / 025, Loss: 0.200645 * Train accuracy / confusion: 95.00% / [[342, 6, 3], [15, 253, 4], [5, 7, 165]], * Val accuracy / confusion: 58.08% / [[166, 48, 16], [68, 94, 13], [28, 45, 42]] ------------------------------ Epoch 909 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.035804 - Iter 024 / 025, Loss: 0.149188 * Train accuracy / confusion: 95.38% / [[346, 7, 4], [14, 249, 4], [4, 4, 168]], * Val accuracy / confusion: 54.81% / [[154, 51, 25], [66, 84, 25], [22, 46, 47]] ------------------------------ Epoch 910 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.120100 - Iter 024 / 025, Loss: 0.046141 * Train accuracy / confusion: 95.50% / [[343, 8, 6], [10, 256, 3], [5, 4, 165]], * Val accuracy / confusion: 56.15% / [[166, 44, 20], [63, 83, 29], [27, 45, 43]] ------------------------------ Epoch 911 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.157548 - Iter 024 / 025, Loss: 0.334078 * Train accuracy / confusion: 95.25% / [[339, 11, 5], [13, 253, 3], [5, 1, 170]], * Val accuracy / confusion: 55.19% / [[150, 57, 23], [52, 100, 23], [21, 57, 37]] ------------------------------ Epoch 912 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.196476 - Iter 024 / 025, Loss: 0.018070 * Train accuracy / confusion: 95.25% / [[345, 10, 4], [13, 250, 3], [3, 5, 167]], * Val accuracy / confusion: 58.85% / [[166, 49, 15], [51, 96, 28], [22, 49, 44]] ------------------------------ Epoch 913 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.100359 - Iter 024 / 025, Loss: 0.010975 * Train accuracy / confusion: 95.12% / [[343, 7, 3], [15, 252, 7], [2, 5, 166]], * Val accuracy / confusion: 58.85% / [[157, 54, 19], [51, 96, 28], [18, 44, 53]] ------------------------------ Epoch 914 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.108273 - Iter 024 / 025, Loss: 0.184996 * Train accuracy / confusion: 94.38% / [[343, 10, 4], [19, 242, 3], [3, 6, 170]], * Val accuracy / confusion: 60.38% / [[166, 46, 18], [54, 96, 25], [29, 34, 52]] ------------------------------ Epoch 915 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.072353 - Iter 024 / 025, Loss: 0.075137 * Train accuracy / confusion: 95.00% / [[343, 8, 6], [12, 252, 3], [6, 5, 165]], * Val accuracy / confusion: 57.69% / [[155, 55, 20], [55, 101, 19], [20, 51, 44]] ------------------------------ Epoch 916 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.330451 - Iter 024 / 025, Loss: 0.197421 * Train accuracy / confusion: 94.62% / [[341, 6, 7], [15, 252, 3], [7, 5, 164]], * Val accuracy / confusion: 58.46% / [[160, 48, 22], [68, 86, 21], [20, 37, 58]] ------------------------------ Epoch 917 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.040385 - Iter 024 / 025, Loss: 0.128380 * Train accuracy / confusion: 94.88% / [[338, 13, 8], [11, 249, 4], [1, 4, 172]], * Val accuracy / confusion: 56.73% / [[156, 53, 21], [53, 94, 28], [30, 40, 45]] ------------------------------ Epoch 918 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.111572 - Iter 024 / 025, Loss: 0.097503 * Train accuracy / confusion: 94.75% / [[342, 12, 2], [14, 248, 6], [5, 3, 168]], * Val accuracy / confusion: 58.27% / [[162, 53, 15], [54, 95, 26], [22, 47, 46]] ------------------------------ Epoch 919 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.061247 - Iter 024 / 025, Loss: 0.197589 * Train accuracy / confusion: 96.12% / [[342, 4, 3], [17, 254, 4], [2, 1, 173]], * Val accuracy / confusion: 56.15% / [[164, 40, 26], [57, 85, 33], [23, 49, 43]] ------------------------------ Epoch 920 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.103428 - Iter 024 / 025, Loss: 0.044902 * Train accuracy / confusion: 94.50% / [[345, 11, 4], [14, 247, 4], [4, 7, 164]], * Val accuracy / confusion: 57.31% / [[150, 53, 27], [54, 97, 24], [20, 44, 51]] ------------------------------ Epoch 921 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.065535 - Iter 024 / 025, Loss: 0.149303 * Train accuracy / confusion: 96.50% / [[348, 8, 0], [9, 254, 3], [1, 7, 170]], * Val accuracy / confusion: 57.50% / [[160, 46, 24], [60, 88, 27], [22, 42, 51]] ------------------------------ Epoch 922 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.046141 - Iter 024 / 025, Loss: 0.162188 * Train accuracy / confusion: 95.88% / [[344, 8, 4], [12, 257, 3], [3, 3, 166]], * Val accuracy / confusion: 57.12% / [[156, 46, 28], [59, 88, 28], [28, 34, 53]] ------------------------------ Epoch 923 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.153478 - Iter 024 / 025, Loss: 0.172312 * Train accuracy / confusion: 95.50% / [[351, 5, 3], [16, 246, 5], [5, 2, 167]], * Val accuracy / confusion: 57.88% / [[158, 52, 20], [58, 97, 20], [26, 43, 46]] ------------------------------ Epoch 924 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.079324 - Iter 024 / 025, Loss: 0.083189 * Train accuracy / confusion: 96.12% / [[343, 10, 1], [8, 256, 3], [5, 4, 170]], * Val accuracy / confusion: 57.69% / [[162, 42, 26], [60, 90, 25], [27, 40, 48]] ------------------------------ Epoch 925 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.090262 - Iter 024 / 025, Loss: 0.122346 * Train accuracy / confusion: 96.25% / [[356, 6, 2], [11, 245, 5], [1, 5, 169]], * Val accuracy / confusion: 57.88% / [[157, 56, 17], [60, 99, 16], [21, 49, 45]] ------------------------------ Epoch 926 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.045707 - Iter 024 / 025, Loss: 0.094602 * Train accuracy / confusion: 97.00% / [[345, 4, 2], [8, 256, 6], [0, 4, 175]], * Val accuracy / confusion: 57.50% / [[154, 54, 22], [49, 97, 29], [21, 46, 48]] ------------------------------ Epoch 927 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.059793 - Iter 024 / 025, Loss: 0.096939 * Train accuracy / confusion: 96.75% / [[350, 5, 5], [6, 255, 5], [1, 4, 169]], * Val accuracy / confusion: 59.62% / [[160, 48, 22], [46, 103, 26], [21, 47, 47]] ------------------------------ Epoch 928 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.127986 - Iter 024 / 025, Loss: 0.155701 * Train accuracy / confusion: 95.62% / [[352, 9, 0], [13, 253, 3], [8, 2, 160]], * Val accuracy / confusion: 58.85% / [[162, 50, 18], [45, 98, 32], [23, 46, 46]] ------------------------------ Epoch 929 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.093542 - Iter 024 / 025, Loss: 0.131732 * Train accuracy / confusion: 94.25% / [[346, 9, 1], [19, 244, 4], [7, 6, 164]], * Val accuracy / confusion: 58.46% / [[164, 38, 28], [62, 88, 25], [30, 33, 52]] ------------------------------ Epoch 930 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.242554 - Iter 024 / 025, Loss: 0.358702 * Train accuracy / confusion: 94.75% / [[349, 10, 3], [14, 243, 7], [4, 4, 166]], * Val accuracy / confusion: 56.54% / [[158, 55, 17], [56, 97, 22], [26, 50, 39]] ------------------------------ Epoch 931 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.072698 - Iter 024 / 025, Loss: 0.214096 * Train accuracy / confusion: 95.25% / [[339, 13, 5], [12, 252, 5], [2, 1, 171]], * Val accuracy / confusion: 60.96% / [[163, 46, 21], [46, 99, 30], [22, 38, 55]] ------------------------------ Epoch 932 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.067390 - Iter 024 / 025, Loss: 0.503794 * Train accuracy / confusion: 95.12% / [[346, 7, 7], [16, 248, 4], [1, 4, 167]], * Val accuracy / confusion: 57.12% / [[152, 47, 31], [45, 94, 36], [19, 45, 51]] ------------------------------ Epoch 933 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.035788 - Iter 024 / 025, Loss: 0.167689 * Train accuracy / confusion: 96.38% / [[346, 9, 2], [11, 252, 2], [2, 3, 173]], * Val accuracy / confusion: 58.27% / [[157, 48, 25], [57, 101, 17], [26, 44, 45]] ------------------------------ Epoch 934 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.158696 - Iter 024 / 025, Loss: 0.465343 * Train accuracy / confusion: 94.88% / [[342, 12, 5], [14, 247, 5], [3, 2, 170]], * Val accuracy / confusion: 56.73% / [[158, 50, 22], [60, 89, 26], [28, 39, 48]] ------------------------------ Epoch 935 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.150609 - Iter 024 / 025, Loss: 0.091059 * Train accuracy / confusion: 96.25% / [[344, 6, 5], [9, 253, 7], [2, 1, 173]], * Val accuracy / confusion: 57.69% / [[153, 47, 30], [55, 99, 21], [24, 43, 48]] ------------------------------ Epoch 936 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.063266 - Iter 024 / 025, Loss: 0.033105 * Train accuracy / confusion: 94.62% / [[338, 9, 3], [15, 248, 8], [4, 4, 171]], * Val accuracy / confusion: 57.31% / [[150, 57, 23], [50, 105, 20], [26, 46, 43]] ------------------------------ Epoch 937 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.072729 - Iter 024 / 025, Loss: 0.170935 * Train accuracy / confusion: 96.38% / [[345, 8, 3], [12, 253, 2], [2, 2, 173]], * Val accuracy / confusion: 57.31% / [[160, 46, 24], [52, 97, 26], [21, 53, 41]] ------------------------------ Epoch 938 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.068212 - Iter 024 / 025, Loss: 0.097931 * Train accuracy / confusion: 95.75% / [[346, 8, 3], [11, 247, 5], [3, 4, 173]], * Val accuracy / confusion: 56.73% / [[159, 45, 26], [62, 95, 18], [27, 47, 41]] ------------------------------ Epoch 939 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.059795 - Iter 024 / 025, Loss: 0.442457 * Train accuracy / confusion: 95.12% / [[341, 9, 2], [10, 256, 5], [5, 8, 164]], * Val accuracy / confusion: 58.27% / [[150, 55, 25], [55, 102, 18], [23, 41, 51]] ------------------------------ Epoch 940 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.088019 - Iter 024 / 025, Loss: 0.035305 * Train accuracy / confusion: 95.38% / [[344, 9, 2], [13, 250, 6], [3, 4, 169]], * Val accuracy / confusion: 59.23% / [[165, 46, 19], [55, 101, 19], [29, 44, 42]] ------------------------------ Epoch 941 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.037534 - Iter 024 / 025, Loss: 0.060163 * Train accuracy / confusion: 96.12% / [[354, 2, 1], [9, 251, 7], [6, 6, 164]], * Val accuracy / confusion: 57.50% / [[157, 39, 34], [61, 98, 16], [24, 47, 44]] ------------------------------ Epoch 942 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.214858 - Iter 024 / 025, Loss: 0.132183 * Train accuracy / confusion: 96.25% / [[344, 5, 3], [12, 254, 1], [3, 6, 172]], * Val accuracy / confusion: 56.92% / [[146, 55, 29], [54, 100, 21], [19, 46, 50]] ------------------------------ Epoch 943 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.119525 - Iter 024 / 025, Loss: 0.031015 * Train accuracy / confusion: 95.25% / [[341, 10, 1], [18, 247, 5], [1, 3, 174]], * Val accuracy / confusion: 57.88% / [[150, 57, 23], [52, 106, 17], [23, 47, 45]] ------------------------------ Epoch 944 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.076767 - Iter 024 / 025, Loss: 0.059446 * Train accuracy / confusion: 96.38% / [[343, 8, 6], [8, 255, 5], [2, 0, 173]], * Val accuracy / confusion: 55.77% / [[154, 55, 21], [64, 91, 20], [23, 47, 45]] ------------------------------ Epoch 945 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.086413 - Iter 024 / 025, Loss: 0.153800 * Train accuracy / confusion: 95.38% / [[343, 9, 4], [12, 250, 6], [3, 3, 170]], * Val accuracy / confusion: 56.54% / [[156, 50, 24], [51, 97, 27], [26, 48, 41]] ------------------------------ Epoch 946 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.085450 - Iter 024 / 025, Loss: 0.078904 * Train accuracy / confusion: 95.75% / [[350, 8, 1], [14, 248, 2], [3, 6, 168]], * Val accuracy / confusion: 59.81% / [[169, 41, 20], [56, 88, 31], [24, 37, 54]] ------------------------------ Epoch 947 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.073266 - Iter 024 / 025, Loss: 0.031146 * Train accuracy / confusion: 95.38% / [[343, 8, 3], [19, 244, 4], [2, 1, 176]], * Val accuracy / confusion: 58.65% / [[157, 48, 25], [55, 96, 24], [25, 38, 52]] ------------------------------ Epoch 948 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.102700 - Iter 024 / 025, Loss: 0.307629 * Train accuracy / confusion: 95.75% / [[349, 7, 2], [9, 249, 7], [3, 6, 168]], * Val accuracy / confusion: 56.15% / [[152, 55, 23], [60, 98, 17], [20, 53, 42]] ------------------------------ Epoch 949 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.167827 - Iter 024 / 025, Loss: 0.028329 * Train accuracy / confusion: 96.25% / [[344, 8, 6], [9, 256, 2], [2, 3, 170]], * Val accuracy / confusion: 54.04% / [[146, 56, 28], [61, 92, 22], [21, 51, 43]] ------------------------------ Epoch 950 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.063889 - Iter 024 / 025, Loss: 0.208371 * Train accuracy / confusion: 96.12% / [[348, 7, 4], [11, 250, 3], [2, 4, 171]], * Val accuracy / confusion: 56.35% / [[158, 49, 23], [64, 92, 19], [23, 49, 43]] ------------------------------ Epoch 951 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.097971 - Iter 024 / 025, Loss: 0.063313 * Train accuracy / confusion: 94.88% / [[342, 8, 7], [12, 248, 7], [3, 4, 169]], * Val accuracy / confusion: 57.31% / [[158, 46, 26], [65, 91, 19], [24, 42, 49]] ------------------------------ Epoch 952 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.105730 - Iter 024 / 025, Loss: 0.033318 * Train accuracy / confusion: 95.38% / [[345, 9, 3], [13, 252, 3], [4, 5, 166]], * Val accuracy / confusion: 58.65% / [[159, 50, 21], [56, 92, 27], [21, 40, 54]] ------------------------------ Epoch 953 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.070173 - Iter 024 / 025, Loss: 0.127469 * Train accuracy / confusion: 95.12% / [[343, 9, 4], [13, 249, 4], [4, 5, 169]], * Val accuracy / confusion: 56.35% / [[156, 46, 28], [53, 89, 33], [24, 43, 48]] ------------------------------ Epoch 954 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.265523 - Iter 024 / 025, Loss: 0.107197 * Train accuracy / confusion: 95.38% / [[343, 13, 2], [10, 254, 6], [3, 3, 166]], * Val accuracy / confusion: 59.62% / [[162, 49, 19], [49, 100, 26], [20, 47, 48]] ------------------------------ Epoch 955 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.072750 - Iter 024 / 025, Loss: 0.069073 * Train accuracy / confusion: 95.62% / [[342, 9, 1], [15, 253, 3], [4, 3, 170]], * Val accuracy / confusion: 59.62% / [[155, 48, 27], [48, 103, 24], [24, 39, 52]] ------------------------------ Epoch 956 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.062419 - Iter 024 / 025, Loss: 0.044949 * Train accuracy / confusion: 96.75% / [[343, 11, 3], [6, 260, 1], [2, 3, 171]], * Val accuracy / confusion: 56.92% / [[151, 52, 27], [56, 97, 22], [21, 46, 48]] ------------------------------ Epoch 957 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.147427 - Iter 024 / 025, Loss: 0.173415 * Train accuracy / confusion: 96.00% / [[347, 8, 2], [13, 248, 4], [4, 1, 173]], * Val accuracy / confusion: 58.27% / [[161, 49, 20], [64, 92, 19], [23, 42, 50]] ------------------------------ Epoch 958 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.113587 - Iter 024 / 025, Loss: 0.043210 * Train accuracy / confusion: 95.25% / [[345, 10, 3], [15, 248, 1], [3, 6, 169]], * Val accuracy / confusion: 59.04% / [[159, 47, 24], [56, 99, 20], [26, 40, 49]] ------------------------------ Epoch 959 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.036962 - Iter 024 / 025, Loss: 0.177827 * Train accuracy / confusion: 96.12% / [[346, 5, 3], [13, 255, 5], [2, 3, 168]], * Val accuracy / confusion: 57.69% / [[153, 57, 20], [57, 98, 20], [22, 44, 49]] ------------------------------ Epoch 960 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.087047 - Iter 024 / 025, Loss: 0.055522 * Train accuracy / confusion: 96.00% / [[345, 11, 2], [12, 252, 1], [3, 3, 171]], * Val accuracy / confusion: 57.88% / [[159, 51, 20], [55, 96, 24], [29, 40, 46]] ------------------------------ Epoch 961 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.077519 - Iter 024 / 025, Loss: 0.190403 * Train accuracy / confusion: 95.25% / [[344, 9, 4], [12, 250, 6], [4, 3, 168]], * Val accuracy / confusion: 55.58% / [[151, 58, 21], [60, 92, 23], [23, 46, 46]] ------------------------------ Epoch 962 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.133025 - Iter 024 / 025, Loss: 0.191054 * Train accuracy / confusion: 96.25% / [[355, 6, 1], [16, 244, 3], [2, 2, 171]], * Val accuracy / confusion: 54.42% / [[155, 46, 29], [63, 92, 20], [29, 50, 36]] ------------------------------ Epoch 963 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.078512 - Iter 024 / 025, Loss: 0.094924 * Train accuracy / confusion: 95.00% / [[339, 13, 4], [14, 250, 4], [3, 2, 171]], * Val accuracy / confusion: 57.12% / [[153, 49, 28], [57, 92, 26], [23, 40, 52]] ------------------------------ Epoch 964 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.074573 - Iter 024 / 025, Loss: 0.068448 * Train accuracy / confusion: 96.12% / [[347, 8, 3], [11, 254, 3], [4, 2, 168]], * Val accuracy / confusion: 57.12% / [[150, 57, 23], [49, 104, 22], [26, 46, 43]] ------------------------------ Epoch 965 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.057683 - Iter 024 / 025, Loss: 0.188172 * Train accuracy / confusion: 95.88% / [[348, 6, 3], [16, 248, 4], [3, 1, 171]], * Val accuracy / confusion: 57.69% / [[162, 56, 12], [55, 97, 23], [25, 49, 41]] ------------------------------ Epoch 966 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.054585 - Iter 024 / 025, Loss: 0.170559 * Train accuracy / confusion: 95.50% / [[343, 5, 4], [17, 249, 5], [3, 2, 172]], * Val accuracy / confusion: 58.65% / [[162, 50, 18], [59, 89, 27], [22, 39, 54]] ------------------------------ Epoch 967 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.077969 - Iter 024 / 025, Loss: 0.039610 * Train accuracy / confusion: 95.62% / [[350, 9, 1], [12, 246, 4], [7, 2, 169]], * Val accuracy / confusion: 57.31% / [[155, 55, 20], [42, 96, 37], [22, 46, 47]] ------------------------------ Epoch 968 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.163779 - Iter 024 / 025, Loss: 0.107584 * Train accuracy / confusion: 95.38% / [[340, 11, 3], [11, 255, 3], [3, 6, 168]], * Val accuracy / confusion: 57.69% / [[160, 54, 16], [57, 95, 23], [31, 39, 45]] ------------------------------ Epoch 969 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.228378 - Iter 024 / 025, Loss: 0.257806 * Train accuracy / confusion: 95.25% / [[339, 13, 3], [10, 256, 5], [4, 3, 167]], * Val accuracy / confusion: 58.46% / [[162, 50, 18], [61, 97, 17], [24, 46, 45]] ------------------------------ Epoch 970 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.120274 - Iter 024 / 025, Loss: 0.082535 * Train accuracy / confusion: 96.25% / [[347, 7, 2], [10, 251, 5], [2, 4, 172]], * Val accuracy / confusion: 59.62% / [[165, 47, 18], [58, 99, 18], [29, 40, 46]] ------------------------------ Epoch 971 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.048048 - Iter 024 / 025, Loss: 0.051586 * Train accuracy / confusion: 95.75% / [[348, 10, 1], [10, 251, 4], [3, 6, 167]], * Val accuracy / confusion: 55.58% / [[157, 51, 22], [57, 89, 29], [28, 44, 43]] ------------------------------ Epoch 972 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.048409 - Iter 024 / 025, Loss: 0.229543 * Train accuracy / confusion: 95.88% / [[350, 4, 4], [12, 250, 4], [7, 2, 167]], * Val accuracy / confusion: 59.62% / [[163, 46, 21], [46, 96, 33], [17, 47, 51]] ------------------------------ Epoch 973 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.081176 - Iter 024 / 025, Loss: 0.039324 * Train accuracy / confusion: 96.00% / [[349, 4, 1], [19, 248, 4], [2, 2, 171]], * Val accuracy / confusion: 57.50% / [[154, 47, 29], [46, 95, 34], [21, 44, 50]] ------------------------------ Epoch 974 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.031238 - Iter 024 / 025, Loss: 0.164268 * Train accuracy / confusion: 94.75% / [[342, 12, 5], [11, 250, 4], [4, 6, 166]], * Val accuracy / confusion: 56.73% / [[157, 52, 21], [45, 92, 38], [21, 48, 46]] ------------------------------ Epoch 975 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.101554 - Iter 024 / 025, Loss: 0.033885 * Train accuracy / confusion: 95.50% / [[348, 6, 4], [18, 245, 3], [1, 4, 171]], * Val accuracy / confusion: 58.46% / [[151, 62, 17], [47, 110, 18], [21, 51, 43]] ------------------------------ Epoch 976 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.079155 - Iter 024 / 025, Loss: 0.036671 * Train accuracy / confusion: 95.75% / [[347, 9, 4], [13, 247, 5], [1, 2, 172]], * Val accuracy / confusion: 58.27% / [[157, 52, 21], [48, 105, 22], [19, 55, 41]] ------------------------------ Epoch 977 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.115599 - Iter 024 / 025, Loss: 0.091957 * Train accuracy / confusion: 95.88% / [[350, 6, 2], [16, 246, 4], [2, 3, 171]], * Val accuracy / confusion: 60.96% / [[159, 49, 22], [51, 106, 18], [25, 38, 52]] ------------------------------ Epoch 978 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.041708 - Iter 024 / 025, Loss: 0.183078 * Train accuracy / confusion: 95.12% / [[346, 7, 4], [15, 249, 3], [6, 4, 166]], * Val accuracy / confusion: 57.12% / [[151, 51, 28], [52, 93, 30], [19, 43, 53]] ------------------------------ Epoch 979 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.138123 - Iter 024 / 025, Loss: 0.164971 * Train accuracy / confusion: 94.50% / [[341, 9, 3], [14, 248, 7], [6, 5, 167]], * Val accuracy / confusion: 58.08% / [[166, 39, 25], [62, 92, 21], [25, 46, 44]] ------------------------------ Epoch 980 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.099714 - Iter 024 / 025, Loss: 0.212550 * Train accuracy / confusion: 95.50% / [[337, 9, 7], [15, 252, 1], [1, 3, 175]], * Val accuracy / confusion: 56.92% / [[158, 49, 23], [63, 96, 16], [23, 50, 42]] ------------------------------ Epoch 981 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.075346 - Iter 024 / 025, Loss: 0.061833 * Train accuracy / confusion: 96.50% / [[340, 11, 2], [11, 256, 0], [2, 2, 176]], * Val accuracy / confusion: 57.69% / [[152, 45, 33], [52, 102, 21], [24, 45, 46]] ------------------------------ Epoch 982 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.154700 - Iter 024 / 025, Loss: 0.035422 * Train accuracy / confusion: 96.12% / [[347, 5, 6], [8, 252, 6], [6, 0, 170]], * Val accuracy / confusion: 58.08% / [[156, 48, 26], [56, 98, 21], [23, 44, 48]] ------------------------------ Epoch 983 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.052626 - Iter 024 / 025, Loss: 0.226406 * Train accuracy / confusion: 96.25% / [[345, 6, 4], [9, 256, 4], [2, 5, 169]], * Val accuracy / confusion: 57.69% / [[163, 47, 20], [58, 89, 28], [21, 46, 48]] ------------------------------ Epoch 984 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.186883 - Iter 024 / 025, Loss: 0.032103 * Train accuracy / confusion: 97.00% / [[349, 9, 2], [5, 254, 3], [2, 3, 173]], * Val accuracy / confusion: 56.73% / [[152, 50, 28], [54, 100, 21], [21, 51, 43]] ------------------------------ Epoch 985 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.033206 - Iter 024 / 025, Loss: 0.066630 * Train accuracy / confusion: 95.62% / [[339, 11, 3], [13, 257, 0], [5, 3, 169]], * Val accuracy / confusion: 60.38% / [[171, 32, 27], [59, 92, 24], [28, 36, 51]] ------------------------------ Epoch 986 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.200411 - Iter 024 / 025, Loss: 0.127478 * Train accuracy / confusion: 95.75% / [[342, 10, 3], [15, 248, 4], [1, 1, 176]], * Val accuracy / confusion: 58.46% / [[160, 44, 26], [51, 101, 23], [21, 51, 43]] ------------------------------ Epoch 987 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.028675 - Iter 024 / 025, Loss: 0.096338 * Train accuracy / confusion: 96.50% / [[350, 6, 4], [9, 251, 3], [4, 2, 171]], * Val accuracy / confusion: 57.31% / [[157, 45, 28], [54, 89, 32], [24, 39, 52]] ------------------------------ Epoch 988 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.146057 - Iter 024 / 025, Loss: 0.187173 * Train accuracy / confusion: 95.38% / [[345, 9, 1], [10, 247, 8], [5, 4, 171]], * Val accuracy / confusion: 58.27% / [[163, 49, 18], [61, 89, 25], [29, 35, 51]] ------------------------------ Epoch 989 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.061740 - Iter 024 / 025, Loss: 0.162066 * Train accuracy / confusion: 96.12% / [[356, 5, 1], [13, 248, 2], [4, 6, 165]], * Val accuracy / confusion: 55.19% / [[148, 52, 30], [46, 98, 31], [24, 50, 41]] ------------------------------ Epoch 990 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.209670 - Iter 024 / 025, Loss: 0.037531 * Train accuracy / confusion: 95.62% / [[340, 9, 4], [12, 252, 5], [4, 1, 173]], * Val accuracy / confusion: 57.12% / [[162, 48, 20], [63, 92, 20], [30, 42, 43]] ------------------------------ Epoch 991 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.148760 - Iter 024 / 025, Loss: 0.099659 * Train accuracy / confusion: 95.88% / [[339, 11, 3], [16, 250, 1], [0, 2, 178]], * Val accuracy / confusion: 57.88% / [[165, 42, 23], [59, 88, 28], [22, 45, 48]] ------------------------------ Epoch 992 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.059625 - Iter 024 / 025, Loss: 0.142998 * Train accuracy / confusion: 95.50% / [[346, 12, 2], [8, 254, 4], [5, 5, 164]], * Val accuracy / confusion: 56.92% / [[165, 48, 17], [65, 89, 21], [26, 47, 42]] ------------------------------ Epoch 993 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.176131 - Iter 024 / 025, Loss: 0.369973 * Train accuracy / confusion: 96.12% / [[349, 2, 2], [14, 253, 4], [3, 6, 167]], * Val accuracy / confusion: 56.54% / [[167, 42, 21], [61, 88, 26], [26, 50, 39]] ------------------------------ Epoch 994 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016440 - Iter 024 / 025, Loss: 0.070210 * Train accuracy / confusion: 95.38% / [[346, 4, 4], [17, 245, 6], [3, 3, 172]], * Val accuracy / confusion: 57.12% / [[159, 39, 32], [61, 83, 31], [17, 43, 55]] ------------------------------ Epoch 995 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.222693 - Iter 024 / 025, Loss: 0.068759 * Train accuracy / confusion: 95.88% / [[342, 11, 1], [11, 251, 4], [4, 2, 174]], * Val accuracy / confusion: 60.00% / [[161, 43, 26], [60, 96, 19], [19, 41, 55]] ------------------------------ Epoch 996 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.028117 - Iter 024 / 025, Loss: 0.039820 * Train accuracy / confusion: 95.88% / [[339, 9, 4], [11, 256, 3], [3, 3, 172]], * Val accuracy / confusion: 57.31% / [[160, 47, 23], [67, 87, 21], [19, 45, 51]] ------------------------------ Epoch 997 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.130239 - Iter 024 / 025, Loss: 0.070635 * Train accuracy / confusion: 95.25% / [[343, 9, 4], [15, 250, 5], [3, 2, 169]], * Val accuracy / confusion: 59.23% / [[171, 35, 24], [60, 88, 27], [25, 41, 49]] ------------------------------ Epoch 998 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.052135 - Iter 024 / 025, Loss: 0.323348 * Train accuracy / confusion: 95.88% / [[346, 7, 2], [16, 248, 3], [2, 3, 173]], * Val accuracy / confusion: 56.92% / [[162, 38, 30], [63, 88, 24], [28, 41, 46]] ------------------------------ Epoch 999 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.052980 - Iter 024 / 025, Loss: 0.279682 * Train accuracy / confusion: 97.25% / [[351, 5, 1], [8, 258, 1], [2, 5, 169]], * Val accuracy / confusion: 58.27% / [[157, 45, 28], [56, 100, 19], [26, 43, 46]] ------------------------------ Epoch 1000 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.035338 - Iter 024 / 025, Loss: 0.037142 * Train accuracy / confusion: 96.88% / [[357, 3, 4], [11, 248, 4], [3, 0, 170]], * Val accuracy / confusion: 59.42% / [[154, 56, 20], [49, 106, 20], [18, 48, 49]] ------------------------------ Epoch 1001 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.069898 - Iter 024 / 025, Loss: 0.102480 * Train accuracy / confusion: 96.50% / [[345, 8, 2], [9, 255, 4], [2, 3, 172]], * Val accuracy / confusion: 57.50% / [[160, 52, 18], [57, 92, 26], [22, 46, 47]] ------------------------------ Epoch 1002 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.149022 - Iter 024 / 025, Loss: 0.037413 * Train accuracy / confusion: 95.75% / [[348, 10, 1], [12, 251, 4], [1, 6, 167]], * Val accuracy / confusion: 59.42% / [[161, 50, 19], [60, 94, 21], [25, 36, 54]] ------------------------------ Epoch 1003 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.134506 - Iter 024 / 025, Loss: 0.070675 * Train accuracy / confusion: 95.75% / [[349, 6, 2], [15, 253, 2], [3, 6, 164]], * Val accuracy / confusion: 57.69% / [[157, 54, 19], [54, 98, 23], [20, 50, 45]] ------------------------------ Epoch 1004 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.103780 - Iter 024 / 025, Loss: 0.238673 * Train accuracy / confusion: 95.88% / [[344, 7, 4], [8, 256, 4], [8, 2, 167]], * Val accuracy / confusion: 57.69% / [[150, 54, 26], [55, 100, 20], [27, 38, 50]] ------------------------------ Epoch 1005 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.061219 - Iter 024 / 025, Loss: 0.152425 * Train accuracy / confusion: 95.75% / [[348, 11, 1], [11, 247, 6], [2, 3, 171]], * Val accuracy / confusion: 57.88% / [[165, 41, 24], [54, 94, 27], [20, 53, 42]] ------------------------------ Epoch 1006 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.220858 - Iter 024 / 025, Loss: 0.066843 * Train accuracy / confusion: 95.88% / [[346, 13, 1], [10, 250, 4], [1, 4, 171]], * Val accuracy / confusion: 57.12% / [[161, 48, 21], [57, 91, 27], [26, 44, 45]] ------------------------------ Epoch 1007 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.102073 - Iter 024 / 025, Loss: 0.083943 * Train accuracy / confusion: 96.12% / [[347, 6, 1], [13, 250, 5], [3, 3, 172]], * Val accuracy / confusion: 59.23% / [[160, 52, 18], [55, 98, 22], [23, 42, 50]] ------------------------------ Epoch 1008 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.128874 - Iter 024 / 025, Loss: 0.166196 * Train accuracy / confusion: 95.25% / [[348, 9, 1], [11, 251, 4], [8, 5, 163]], * Val accuracy / confusion: 59.81% / [[163, 40, 27], [47, 98, 30], [24, 41, 50]] ------------------------------ Epoch 1009 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.078688 - Iter 024 / 025, Loss: 0.229096 * Train accuracy / confusion: 95.00% / [[337, 13, 5], [11, 253, 2], [4, 5, 170]], * Val accuracy / confusion: 56.54% / [[157, 55, 18], [56, 94, 25], [26, 46, 43]] ------------------------------ Epoch 1010 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.071584 - Iter 024 / 025, Loss: 0.266959 * Train accuracy / confusion: 95.50% / [[342, 6, 4], [17, 253, 1], [5, 3, 169]], * Val accuracy / confusion: 57.50% / [[156, 48, 26], [49, 90, 36], [20, 42, 53]] ------------------------------ Epoch 1011 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.051523 - Iter 024 / 025, Loss: 0.132550 * Train accuracy / confusion: 96.38% / [[345, 5, 6], [9, 253, 5], [2, 2, 173]], * Val accuracy / confusion: 56.73% / [[162, 46, 22], [57, 82, 36], [21, 43, 51]] ------------------------------ Epoch 1012 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.125158 - Iter 024 / 025, Loss: 0.094085 * Train accuracy / confusion: 95.88% / [[341, 7, 6], [12, 254, 2], [3, 3, 172]], * Val accuracy / confusion: 56.92% / [[162, 43, 25], [61, 86, 28], [23, 44, 48]] ------------------------------ Epoch 1013 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.337213 - Iter 024 / 025, Loss: 0.204241 * Train accuracy / confusion: 94.50% / [[339, 7, 11], [19, 247, 1], [2, 4, 170]], * Val accuracy / confusion: 56.15% / [[152, 58, 20], [45, 99, 31], [18, 56, 41]] ------------------------------ Epoch 1014 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.056442 - Iter 024 / 025, Loss: 0.029290 * Train accuracy / confusion: 95.88% / [[346, 9, 4], [11, 251, 5], [2, 2, 170]], * Val accuracy / confusion: 55.96% / [[151, 65, 14], [62, 93, 20], [24, 44, 47]] ------------------------------ Epoch 1015 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.112036 - Iter 024 / 025, Loss: 0.153028 * Train accuracy / confusion: 95.12% / [[342, 11, 1], [15, 250, 6], [6, 0, 169]], * Val accuracy / confusion: 56.73% / [[162, 48, 20], [57, 89, 29], [32, 39, 44]] ------------------------------ Epoch 1016 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.025860 - Iter 024 / 025, Loss: 0.189147 * Train accuracy / confusion: 96.25% / [[342, 11, 3], [10, 254, 2], [3, 1, 174]], * Val accuracy / confusion: 57.88% / [[162, 46, 22], [64, 93, 18], [26, 43, 46]] ------------------------------ Epoch 1017 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.046409 - Iter 024 / 025, Loss: 0.077626 * Train accuracy / confusion: 95.38% / [[343, 8, 2], [15, 247, 5], [4, 3, 173]], * Val accuracy / confusion: 54.62% / [[161, 52, 17], [75, 87, 13], [32, 47, 36]] ------------------------------ Epoch 1018 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.085614 - Iter 024 / 025, Loss: 0.196777 * Train accuracy / confusion: 96.25% / [[347, 8, 2], [9, 253, 4], [3, 4, 170]], * Val accuracy / confusion: 58.65% / [[158, 50, 22], [53, 103, 19], [24, 47, 44]] ------------------------------ Epoch 1019 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.053573 - Iter 024 / 025, Loss: 0.046979 * Train accuracy / confusion: 96.25% / [[349, 7, 1], [8, 251, 5], [1, 8, 170]], * Val accuracy / confusion: 54.81% / [[157, 52, 21], [60, 91, 24], [29, 49, 37]] ------------------------------ Epoch 1020 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.368692 - Iter 024 / 025, Loss: 0.076084 * Train accuracy / confusion: 95.50% / [[343, 7, 3], [15, 250, 7], [2, 2, 171]], * Val accuracy / confusion: 57.88% / [[162, 43, 25], [57, 91, 27], [23, 44, 48]] ------------------------------ Epoch 1021 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.225865 - Iter 024 / 025, Loss: 0.273217 * Train accuracy / confusion: 95.00% / [[339, 10, 7], [14, 249, 4], [1, 4, 172]], * Val accuracy / confusion: 55.58% / [[160, 48, 22], [59, 87, 29], [27, 46, 42]] ------------------------------ Epoch 1022 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.061705 - Iter 024 / 025, Loss: 0.056448 * Train accuracy / confusion: 96.12% / [[338, 9, 3], [11, 258, 2], [1, 5, 173]], * Val accuracy / confusion: 56.15% / [[155, 54, 21], [58, 91, 26], [20, 49, 46]] ------------------------------ Epoch 1023 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.063524 - Iter 024 / 025, Loss: 0.058420 * Train accuracy / confusion: 95.62% / [[341, 6, 5], [14, 253, 4], [3, 3, 171]], * Val accuracy / confusion: 57.69% / [[159, 45, 26], [49, 91, 35], [25, 40, 50]] ------------------------------ Epoch 1024 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.067855 - Iter 024 / 025, Loss: 0.044024 * Train accuracy / confusion: 95.88% / [[346, 11, 3], [10, 251, 4], [1, 4, 170]], * Val accuracy / confusion: 56.92% / [[153, 55, 22], [51, 94, 30], [22, 44, 49]] ------------------------------ Epoch 1025 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.072202 - Iter 024 / 025, Loss: 0.253530 * Train accuracy / confusion: 95.50% / [[342, 9, 7], [11, 251, 4], [2, 3, 171]], * Val accuracy / confusion: 56.35% / [[159, 51, 20], [53, 87, 35], [21, 47, 47]] ------------------------------ Epoch 1026 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.063148 - Iter 024 / 025, Loss: 0.175670 * Train accuracy / confusion: 96.25% / [[344, 8, 2], [9, 256, 2], [5, 4, 170]], * Val accuracy / confusion: 57.12% / [[158, 48, 24], [52, 94, 29], [30, 40, 45]] ------------------------------ Epoch 1027 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.022513 - Iter 024 / 025, Loss: 0.375688 * Train accuracy / confusion: 95.38% / [[338, 10, 3], [14, 256, 2], [5, 3, 169]], * Val accuracy / confusion: 58.65% / [[165, 47, 18], [51, 94, 30], [24, 45, 46]] ------------------------------ Epoch 1028 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.129350 - Iter 024 / 025, Loss: 0.090815 * Train accuracy / confusion: 96.38% / [[343, 6, 5], [11, 258, 2], [3, 2, 170]], * Val accuracy / confusion: 58.65% / [[159, 49, 22], [47, 99, 29], [25, 43, 47]] ------------------------------ Epoch 1029 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.204665 - Iter 024 / 025, Loss: 0.086546 * Train accuracy / confusion: 95.75% / [[344, 7, 5], [15, 249, 3], [4, 0, 173]], * Val accuracy / confusion: 56.15% / [[144, 59, 27], [41, 106, 28], [23, 50, 42]] ------------------------------ Epoch 1030 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.159273 - Iter 024 / 025, Loss: 0.126869 * Train accuracy / confusion: 94.38% / [[341, 13, 1], [10, 252, 7], [4, 10, 162]], * Val accuracy / confusion: 56.92% / [[158, 47, 25], [54, 95, 26], [22, 50, 43]] ------------------------------ Epoch 1031 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.055589 - Iter 024 / 025, Loss: 0.064125 * Train accuracy / confusion: 95.62% / [[345, 9, 3], [12, 250, 3], [3, 5, 170]], * Val accuracy / confusion: 57.12% / [[163, 42, 25], [49, 96, 30], [22, 55, 38]] ------------------------------ Epoch 1032 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.075011 - Iter 024 / 025, Loss: 0.132001 * Train accuracy / confusion: 96.25% / [[348, 10, 2], [11, 253, 3], [0, 4, 169]], * Val accuracy / confusion: 55.77% / [[154, 42, 34], [51, 89, 35], [25, 43, 47]] ------------------------------ Epoch 1033 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.044784 - Iter 024 / 025, Loss: 0.290220 * Train accuracy / confusion: 96.88% / [[341, 10, 3], [7, 261, 3], [1, 1, 173]], * Val accuracy / confusion: 57.50% / [[163, 46, 21], [49, 89, 37], [27, 41, 47]] ------------------------------ Epoch 1034 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.293086 - Iter 024 / 025, Loss: 0.238700 * Train accuracy / confusion: 97.00% / [[355, 5, 1], [13, 250, 2], [2, 1, 171]], * Val accuracy / confusion: 59.62% / [[164, 42, 24], [48, 100, 27], [26, 43, 46]] ------------------------------ Epoch 1035 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.039374 - Iter 024 / 025, Loss: 0.046102 * Train accuracy / confusion: 95.50% / [[349, 6, 1], [16, 248, 6], [5, 2, 167]], * Val accuracy / confusion: 59.04% / [[165, 45, 20], [41, 96, 38], [23, 46, 46]] ------------------------------ Epoch 1036 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.054353 - Iter 024 / 025, Loss: 0.089189 * Train accuracy / confusion: 97.12% / [[351, 5, 2], [6, 253, 5], [3, 2, 173]], * Val accuracy / confusion: 59.04% / [[153, 55, 22], [43, 110, 22], [28, 43, 44]] ------------------------------ Epoch 1037 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.071647 - Iter 024 / 025, Loss: 0.137531 * Train accuracy / confusion: 96.50% / [[344, 6, 3], [11, 254, 2], [3, 3, 174]], * Val accuracy / confusion: 58.65% / [[154, 54, 22], [49, 100, 26], [22, 42, 51]] ------------------------------ Epoch 1038 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.049597 - Iter 024 / 025, Loss: 0.127308 * Train accuracy / confusion: 95.38% / [[348, 8, 1], [14, 249, 3], [4, 7, 166]], * Val accuracy / confusion: 58.27% / [[162, 40, 28], [50, 88, 37], [24, 38, 53]] ------------------------------ Epoch 1039 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.046339 - Iter 024 / 025, Loss: 0.034153 * Train accuracy / confusion: 95.62% / [[344, 8, 3], [10, 249, 7], [5, 2, 172]], * Val accuracy / confusion: 57.69% / [[165, 42, 23], [60, 89, 26], [29, 40, 46]] ------------------------------ Epoch 1040 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.125415 - Iter 024 / 025, Loss: 0.153491 * Train accuracy / confusion: 97.12% / [[351, 4, 2], [12, 252, 3], [1, 1, 174]], * Val accuracy / confusion: 56.73% / [[159, 48, 23], [57, 86, 32], [23, 42, 50]] ------------------------------ Epoch 1041 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.297194 - Iter 024 / 025, Loss: 0.053003 * Train accuracy / confusion: 96.12% / [[345, 7, 4], [13, 254, 0], [4, 3, 170]], * Val accuracy / confusion: 59.42% / [[166, 40, 24], [54, 94, 27], [26, 40, 49]] ------------------------------ Epoch 1042 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.088485 - Iter 024 / 025, Loss: 0.099818 * Train accuracy / confusion: 96.75% / [[343, 5, 4], [9, 257, 4], [3, 1, 174]], * Val accuracy / confusion: 55.38% / [[152, 54, 24], [64, 90, 21], [22, 47, 46]] ------------------------------ Epoch 1043 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.050339 - Iter 024 / 025, Loss: 0.036535 * Train accuracy / confusion: 97.38% / [[348, 5, 3], [8, 260, 1], [3, 1, 171]], * Val accuracy / confusion: 57.88% / [[160, 45, 25], [57, 95, 23], [22, 47, 46]] ------------------------------ Epoch 1044 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.109774 - Iter 024 / 025, Loss: 0.032483 * Train accuracy / confusion: 97.00% / [[348, 5, 4], [9, 254, 2], [2, 2, 174]], * Val accuracy / confusion: 57.50% / [[155, 52, 23], [55, 97, 23], [24, 44, 47]] ------------------------------ Epoch 1045 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.157048 - Iter 024 / 025, Loss: 0.061557 * Train accuracy / confusion: 95.75% / [[351, 7, 2], [12, 249, 5], [3, 5, 166]], * Val accuracy / confusion: 58.46% / [[159, 51, 20], [52, 100, 23], [25, 45, 45]] ------------------------------ Epoch 1046 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.157223 - Iter 024 / 025, Loss: 0.033970 * Train accuracy / confusion: 95.75% / [[342, 12, 2], [10, 252, 3], [5, 2, 172]], * Val accuracy / confusion: 55.77% / [[142, 54, 34], [53, 100, 22], [26, 41, 48]] ------------------------------ Epoch 1047 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.126700 - Iter 024 / 025, Loss: 0.059166 * Train accuracy / confusion: 95.25% / [[340, 7, 4], [18, 251, 2], [3, 4, 171]], * Val accuracy / confusion: 56.73% / [[152, 55, 23], [51, 97, 27], [26, 43, 46]] ------------------------------ Epoch 1048 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.142063 - Iter 024 / 025, Loss: 0.393984 * Train accuracy / confusion: 96.38% / [[345, 8, 1], [10, 255, 4], [5, 1, 171]], * Val accuracy / confusion: 59.62% / [[166, 43, 21], [55, 95, 25], [23, 43, 49]] ------------------------------ Epoch 1049 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.153984 - Iter 024 / 025, Loss: 0.125452 * Train accuracy / confusion: 95.38% / [[336, 14, 5], [7, 258, 2], [4, 5, 169]], * Val accuracy / confusion: 54.42% / [[157, 45, 28], [64, 81, 30], [26, 44, 45]] ------------------------------ Epoch 1050 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.206247 - Iter 024 / 025, Loss: 0.041491 * Train accuracy / confusion: 96.25% / [[348, 7, 1], [15, 249, 3], [2, 2, 173]], * Val accuracy / confusion: 55.38% / [[150, 56, 24], [52, 88, 35], [22, 43, 50]] ------------------------------ Epoch 1051 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.115932 - Iter 024 / 025, Loss: 0.178776 * Train accuracy / confusion: 97.12% / [[351, 2, 4], [9, 255, 3], [4, 1, 171]], * Val accuracy / confusion: 57.50% / [[155, 45, 30], [54, 97, 24], [23, 45, 47]] ------------------------------ Epoch 1052 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.184326 - Iter 024 / 025, Loss: 0.052565 * Train accuracy / confusion: 97.00% / [[352, 2, 3], [9, 254, 5], [1, 4, 170]], * Val accuracy / confusion: 55.96% / [[160, 44, 26], [59, 93, 23], [25, 52, 38]] ------------------------------ Epoch 1053 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.178040 - Iter 024 / 025, Loss: 0.429994 * Train accuracy / confusion: 97.38% / [[346, 7, 1], [10, 256, 2], [0, 1, 177]], * Val accuracy / confusion: 57.88% / [[162, 48, 20], [56, 93, 26], [26, 43, 46]] ------------------------------ Epoch 1054 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.095719 - Iter 024 / 025, Loss: 0.212534 * Train accuracy / confusion: 95.88% / [[343, 7, 4], [15, 250, 4], [0, 3, 174]], * Val accuracy / confusion: 58.85% / [[170, 40, 20], [54, 93, 28], [30, 42, 43]] ------------------------------ Epoch 1055 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.260279 - Iter 024 / 025, Loss: 0.040979 * Train accuracy / confusion: 95.38% / [[343, 11, 2], [10, 249, 6], [4, 4, 171]], * Val accuracy / confusion: 61.54% / [[169, 42, 19], [55, 93, 27], [25, 32, 58]] ------------------------------ Epoch 1056 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.133957 - Iter 024 / 025, Loss: 0.038206 * Train accuracy / confusion: 96.50% / [[355, 4, 3], [7, 249, 3], [4, 7, 168]], * Val accuracy / confusion: 56.73% / [[152, 54, 24], [59, 95, 21], [30, 37, 48]] ------------------------------ Epoch 1057 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.031364 - Iter 024 / 025, Loss: 0.060209 * Train accuracy / confusion: 95.62% / [[345, 6, 3], [13, 252, 4], [2, 7, 168]], * Val accuracy / confusion: 57.88% / [[170, 40, 20], [59, 88, 28], [24, 48, 43]] ------------------------------ Epoch 1058 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.150660 - Iter 024 / 025, Loss: 0.107031 * Train accuracy / confusion: 96.50% / [[354, 3, 3], [11, 248, 3], [5, 3, 170]], * Val accuracy / confusion: 57.69% / [[163, 42, 25], [66, 89, 20], [27, 40, 48]] ------------------------------ Epoch 1059 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.275489 - Iter 024 / 025, Loss: 0.120279 * Train accuracy / confusion: 95.38% / [[345, 12, 1], [12, 255, 4], [4, 4, 163]], * Val accuracy / confusion: 59.42% / [[169, 39, 22], [55, 92, 28], [26, 41, 48]] ------------------------------ Epoch 1060 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.183511 - Iter 024 / 025, Loss: 0.223270 * Train accuracy / confusion: 96.50% / [[347, 8, 2], [10, 256, 2], [4, 2, 169]], * Val accuracy / confusion: 60.77% / [[167, 37, 26], [57, 97, 21], [26, 37, 52]] ------------------------------ Epoch 1061 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.033425 - Iter 024 / 025, Loss: 0.123017 * Train accuracy / confusion: 95.75% / [[343, 12, 3], [14, 250, 3], [0, 2, 173]], * Val accuracy / confusion: 61.15% / [[161, 50, 19], [47, 105, 23], [23, 40, 52]] ------------------------------ Epoch 1062 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.092972 - Iter 024 / 025, Loss: 0.034304 * Train accuracy / confusion: 95.12% / [[344, 8, 2], [15, 250, 5], [5, 4, 167]], * Val accuracy / confusion: 57.69% / [[164, 47, 19], [58, 97, 20], [22, 54, 39]] ------------------------------ Epoch 1063 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.077279 - Iter 024 / 025, Loss: 0.068217 * Train accuracy / confusion: 96.25% / [[348, 5, 3], [10, 254, 4], [1, 7, 168]], * Val accuracy / confusion: 57.88% / [[156, 51, 23], [57, 94, 24], [19, 45, 51]] ------------------------------ Epoch 1064 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.097309 - Iter 024 / 025, Loss: 0.140216 * Train accuracy / confusion: 95.62% / [[343, 9, 3], [10, 255, 5], [3, 5, 167]], * Val accuracy / confusion: 57.69% / [[153, 53, 24], [54, 94, 27], [23, 39, 53]] ------------------------------ Epoch 1065 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.250841 - Iter 024 / 025, Loss: 0.030598 * Train accuracy / confusion: 95.12% / [[345, 5, 2], [11, 253, 6], [8, 7, 163]], * Val accuracy / confusion: 57.50% / [[157, 51, 22], [45, 97, 33], [20, 50, 45]] ------------------------------ Epoch 1066 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.209595 - Iter 024 / 025, Loss: 0.017771 * Train accuracy / confusion: 96.75% / [[351, 3, 0], [12, 256, 5], [4, 2, 167]], * Val accuracy / confusion: 53.85% / [[152, 58, 20], [61, 89, 25], [22, 54, 39]] ------------------------------ Epoch 1067 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.132674 - Iter 024 / 025, Loss: 0.057775 * Train accuracy / confusion: 95.12% / [[341, 11, 5], [12, 254, 4], [3, 4, 166]], * Val accuracy / confusion: 60.19% / [[175, 35, 20], [65, 87, 23], [26, 38, 51]] ------------------------------ Epoch 1068 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.164713 - Iter 024 / 025, Loss: 0.047817 * Train accuracy / confusion: 96.50% / [[350, 8, 1], [9, 254, 5], [2, 3, 168]], * Val accuracy / confusion: 57.50% / [[151, 53, 26], [40, 103, 32], [20, 50, 45]] ------------------------------ Epoch 1069 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.173015 - Iter 024 / 025, Loss: 0.088587 * Train accuracy / confusion: 95.88% / [[344, 7, 4], [12, 254, 3], [4, 3, 169]], * Val accuracy / confusion: 60.00% / [[159, 48, 23], [52, 103, 20], [24, 41, 50]] ------------------------------ Epoch 1070 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.090851 - Iter 024 / 025, Loss: 0.050385 * Train accuracy / confusion: 97.25% / [[351, 5, 1], [9, 255, 2], [1, 4, 172]], * Val accuracy / confusion: 57.69% / [[156, 47, 27], [59, 96, 20], [22, 45, 48]] ------------------------------ Epoch 1071 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.022499 - Iter 024 / 025, Loss: 0.053257 * Train accuracy / confusion: 96.88% / [[352, 7, 2], [6, 256, 3], [4, 3, 167]], * Val accuracy / confusion: 57.31% / [[157, 52, 21], [51, 96, 28], [24, 46, 45]] ------------------------------ Epoch 1072 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.051938 - Iter 024 / 025, Loss: 0.026696 * Train accuracy / confusion: 96.88% / [[344, 7, 1], [10, 257, 4], [0, 3, 174]], * Val accuracy / confusion: 56.54% / [[156, 57, 17], [50, 98, 27], [21, 54, 40]] ------------------------------ Epoch 1073 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.049859 - Iter 024 / 025, Loss: 0.068209 * Train accuracy / confusion: 96.12% / [[346, 4, 5], [10, 254, 5], [5, 2, 169]], * Val accuracy / confusion: 58.27% / [[160, 44, 26], [57, 101, 17], [23, 50, 42]] ------------------------------ Epoch 1074 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.052119 - Iter 024 / 025, Loss: 0.043206 * Train accuracy / confusion: 95.88% / [[345, 10, 2], [11, 254, 4], [3, 3, 168]], * Val accuracy / confusion: 57.31% / [[155, 51, 24], [47, 101, 27], [24, 49, 42]] ------------------------------ Epoch 1075 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.123807 - Iter 024 / 025, Loss: 0.076203 * Train accuracy / confusion: 96.25% / [[347, 6, 4], [14, 252, 3], [2, 1, 171]], * Val accuracy / confusion: 55.96% / [[168, 37, 25], [64, 80, 31], [29, 43, 43]] ------------------------------ Epoch 1076 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.209726 - Iter 024 / 025, Loss: 0.125317 * Train accuracy / confusion: 96.25% / [[350, 7, 1], [13, 251, 3], [2, 4, 169]], * Val accuracy / confusion: 56.92% / [[163, 47, 20], [61, 89, 25], [21, 50, 44]] ------------------------------ Epoch 1077 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.035537 - Iter 024 / 025, Loss: 0.198308 * Train accuracy / confusion: 95.00% / [[348, 2, 7], [15, 245, 6], [4, 6, 167]], * Val accuracy / confusion: 58.46% / [[155, 48, 27], [57, 102, 16], [22, 46, 47]] ------------------------------ Epoch 1078 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.104097 - Iter 024 / 025, Loss: 0.149779 * Train accuracy / confusion: 96.00% / [[341, 9, 4], [10, 254, 1], [1, 7, 173]], * Val accuracy / confusion: 57.69% / [[161, 46, 23], [62, 86, 27], [24, 38, 53]] ------------------------------ Epoch 1079 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.116921 - Iter 024 / 025, Loss: 0.229701 * Train accuracy / confusion: 95.38% / [[350, 5, 4], [16, 248, 6], [4, 2, 165]], * Val accuracy / confusion: 55.96% / [[157, 49, 24], [65, 90, 20], [19, 52, 44]] ------------------------------ Epoch 1080 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.265265 - Iter 024 / 025, Loss: 0.242454 * Train accuracy / confusion: 94.88% / [[341, 11, 5], [12, 249, 4], [5, 4, 169]], * Val accuracy / confusion: 56.54% / [[157, 48, 25], [54, 96, 25], [23, 51, 41]] ------------------------------ Epoch 1081 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.052837 - Iter 024 / 025, Loss: 0.036479 * Train accuracy / confusion: 97.12% / [[344, 7, 1], [8, 259, 2], [3, 2, 174]], * Val accuracy / confusion: 59.04% / [[164, 40, 26], [61, 95, 19], [21, 46, 48]] ------------------------------ Epoch 1082 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.170544 - Iter 024 / 025, Loss: 0.024089 * Train accuracy / confusion: 96.00% / [[345, 8, 6], [10, 254, 1], [5, 2, 169]], * Val accuracy / confusion: 56.92% / [[160, 43, 27], [63, 90, 22], [22, 47, 46]] ------------------------------ Epoch 1083 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.207532 - Iter 024 / 025, Loss: 0.288138 * Train accuracy / confusion: 96.25% / [[346, 7, 3], [11, 253, 3], [2, 4, 171]], * Val accuracy / confusion: 58.65% / [[164, 48, 18], [60, 101, 14], [23, 52, 40]] ------------------------------ Epoch 1084 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.158207 - Iter 024 / 025, Loss: 0.053288 * Train accuracy / confusion: 95.12% / [[350, 7, 1], [16, 245, 4], [3, 8, 166]], * Val accuracy / confusion: 58.46% / [[156, 49, 25], [49, 97, 29], [24, 40, 51]] ------------------------------ Epoch 1085 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.020375 - Iter 024 / 025, Loss: 0.030730 * Train accuracy / confusion: 96.00% / [[347, 6, 4], [12, 253, 1], [5, 4, 168]], * Val accuracy / confusion: 59.62% / [[158, 50, 22], [51, 99, 25], [21, 41, 53]] ------------------------------ Epoch 1086 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.040335 - Iter 024 / 025, Loss: 0.013964 * Train accuracy / confusion: 96.75% / [[355, 4, 2], [12, 248, 3], [3, 2, 171]], * Val accuracy / confusion: 58.85% / [[161, 44, 25], [50, 98, 27], [23, 45, 47]] ------------------------------ Epoch 1087 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.009306 - Iter 024 / 025, Loss: 0.038986 * Train accuracy / confusion: 95.50% / [[341, 11, 1], [13, 253, 4], [3, 4, 170]], * Val accuracy / confusion: 60.58% / [[163, 40, 27], [57, 100, 18], [24, 39, 52]] ------------------------------ Epoch 1088 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.080502 - Iter 024 / 025, Loss: 0.211087 * Train accuracy / confusion: 95.88% / [[345, 8, 5], [11, 250, 4], [3, 2, 172]], * Val accuracy / confusion: 60.58% / [[161, 47, 22], [54, 98, 23], [21, 38, 56]] ------------------------------ Epoch 1089 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.029826 - Iter 024 / 025, Loss: 0.100805 * Train accuracy / confusion: 96.88% / [[353, 6, 4], [10, 255, 1], [2, 2, 167]], * Val accuracy / confusion: 60.19% / [[157, 43, 30], [45, 108, 22], [17, 50, 48]] ------------------------------ Epoch 1090 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.044422 - Iter 024 / 025, Loss: 0.109852 * Train accuracy / confusion: 96.25% / [[351, 4, 2], [16, 250, 1], [3, 4, 169]], * Val accuracy / confusion: 60.19% / [[155, 50, 25], [47, 108, 20], [22, 43, 50]] ------------------------------ Epoch 1091 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.094845 - Iter 024 / 025, Loss: 0.274417 * Train accuracy / confusion: 95.38% / [[343, 10, 3], [11, 250, 8], [2, 3, 170]], * Val accuracy / confusion: 59.23% / [[153, 49, 28], [56, 103, 16], [18, 45, 52]] ------------------------------ Epoch 1092 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.032803 - Iter 024 / 025, Loss: 0.094762 * Train accuracy / confusion: 96.12% / [[346, 7, 3], [12, 250, 5], [1, 3, 173]], * Val accuracy / confusion: 57.50% / [[170, 34, 26], [73, 85, 17], [27, 44, 44]] ------------------------------ Epoch 1093 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.212727 - Iter 024 / 025, Loss: 0.098376 * Train accuracy / confusion: 95.50% / [[348, 10, 1], [14, 247, 3], [5, 3, 169]], * Val accuracy / confusion: 55.96% / [[155, 50, 25], [50, 92, 33], [18, 53, 44]] ------------------------------ Epoch 1094 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.056869 - Iter 024 / 025, Loss: 0.093921 * Train accuracy / confusion: 96.25% / [[344, 14, 2], [7, 260, 1], [5, 1, 166]], * Val accuracy / confusion: 58.27% / [[158, 53, 19], [60, 100, 15], [22, 48, 45]] ------------------------------ Epoch 1095 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.073413 - Iter 024 / 025, Loss: 0.037627 * Train accuracy / confusion: 96.62% / [[350, 6, 3], [10, 250, 5], [2, 1, 173]], * Val accuracy / confusion: 60.19% / [[159, 47, 24], [57, 101, 17], [17, 45, 53]] ------------------------------ Epoch 1096 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.031350 - Iter 024 / 025, Loss: 0.018453 * Train accuracy / confusion: 95.62% / [[341, 12, 2], [11, 253, 3], [1, 6, 171]], * Val accuracy / confusion: 60.38% / [[167, 37, 26], [53, 95, 27], [21, 42, 52]] ------------------------------ Epoch 1097 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.066003 - Iter 024 / 025, Loss: 0.089407 * Train accuracy / confusion: 96.75% / [[346, 5, 2], [9, 255, 6], [2, 2, 173]], * Val accuracy / confusion: 58.08% / [[165, 43, 22], [56, 87, 32], [22, 43, 50]] ------------------------------ Epoch 1098 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.048438 - Iter 024 / 025, Loss: 0.229991 * Train accuracy / confusion: 96.50% / [[346, 10, 2], [11, 253, 2], [3, 0, 173]], * Val accuracy / confusion: 57.50% / [[160, 46, 24], [57, 91, 27], [21, 46, 48]] ------------------------------ Epoch 1099 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.065407 - Iter 024 / 025, Loss: 0.130287 * Train accuracy / confusion: 96.62% / [[350, 3, 1], [10, 256, 4], [5, 4, 167]], * Val accuracy / confusion: 58.65% / [[166, 44, 20], [54, 88, 33], [23, 41, 51]] ------------------------------ Epoch 1100 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.133402 - Iter 024 / 025, Loss: 0.143803 * Train accuracy / confusion: 97.25% / [[345, 8, 0], [5, 261, 2], [3, 4, 172]], * Val accuracy / confusion: 57.88% / [[164, 40, 26], [56, 92, 27], [27, 43, 45]] ------------------------------ Epoch 1101 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.058756 - Iter 024 / 025, Loss: 0.064869 * Train accuracy / confusion: 96.25% / [[348, 6, 4], [11, 255, 5], [2, 2, 167]], * Val accuracy / confusion: 57.69% / [[149, 50, 31], [49, 101, 25], [21, 44, 50]] ------------------------------ Epoch 1102 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.029258 - Iter 024 / 025, Loss: 0.047447 * Train accuracy / confusion: 96.75% / [[344, 5, 2], [10, 254, 4], [3, 2, 176]], * Val accuracy / confusion: 55.19% / [[156, 52, 22], [64, 87, 24], [20, 51, 44]] ------------------------------ Epoch 1103 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.053697 - Iter 024 / 025, Loss: 0.063712 * Train accuracy / confusion: 96.38% / [[351, 6, 1], [10, 251, 2], [4, 6, 169]], * Val accuracy / confusion: 58.85% / [[166, 48, 16], [65, 93, 17], [26, 42, 47]] ------------------------------ Epoch 1104 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.105504 - Iter 024 / 025, Loss: 0.090934 * Train accuracy / confusion: 96.75% / [[348, 8, 1], [9, 257, 1], [5, 2, 169]], * Val accuracy / confusion: 58.27% / [[163, 45, 22], [52, 99, 24], [18, 56, 41]] ------------------------------ Epoch 1105 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.028053 - Iter 024 / 025, Loss: 0.029571 * Train accuracy / confusion: 95.88% / [[345, 5, 3], [13, 250, 4], [4, 4, 172]], * Val accuracy / confusion: 57.88% / [[156, 49, 25], [45, 98, 32], [23, 45, 47]] ------------------------------ Epoch 1106 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.202133 - Iter 024 / 025, Loss: 0.360786 * Train accuracy / confusion: 97.25% / [[359, 1, 0], [10, 249, 6], [1, 4, 170]], * Val accuracy / confusion: 59.04% / [[161, 44, 25], [59, 98, 18], [23, 44, 48]] ------------------------------ Epoch 1107 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.112779 - Iter 024 / 025, Loss: 0.067591 * Train accuracy / confusion: 97.00% / [[343, 8, 3], [6, 260, 3], [1, 3, 173]], * Val accuracy / confusion: 56.35% / [[163, 44, 23], [64, 84, 27], [23, 46, 46]] ------------------------------ Epoch 1108 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.209800 - Iter 024 / 025, Loss: 0.112362 * Train accuracy / confusion: 96.00% / [[350, 3, 3], [14, 248, 6], [0, 6, 170]], * Val accuracy / confusion: 60.19% / [[162, 48, 20], [52, 95, 28], [18, 41, 56]] ------------------------------ Epoch 1109 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.132248 - Iter 024 / 025, Loss: 0.027102 * Train accuracy / confusion: 97.62% / [[345, 4, 0], [7, 261, 5], [1, 2, 175]], * Val accuracy / confusion: 59.42% / [[167, 40, 23], [52, 90, 33], [23, 40, 52]] ------------------------------ Epoch 1110 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.078202 - Iter 024 / 025, Loss: 0.051558 * Train accuracy / confusion: 97.12% / [[344, 6, 4], [9, 257, 2], [1, 1, 176]], * Val accuracy / confusion: 59.62% / [[166, 40, 24], [56, 99, 20], [21, 49, 45]] ------------------------------ Epoch 1111 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.064625 - Iter 024 / 025, Loss: 0.152173 * Train accuracy / confusion: 97.00% / [[351, 6, 1], [4, 255, 6], [2, 5, 170]], * Val accuracy / confusion: 59.42% / [[168, 38, 24], [53, 95, 27], [23, 46, 46]] ------------------------------ Epoch 1112 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.017280 - Iter 024 / 025, Loss: 0.046957 * Train accuracy / confusion: 96.75% / [[349, 7, 3], [10, 252, 0], [0, 6, 173]], * Val accuracy / confusion: 56.92% / [[159, 49, 22], [54, 94, 27], [18, 54, 43]] ------------------------------ Epoch 1113 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.020155 - Iter 024 / 025, Loss: 0.095057 * Train accuracy / confusion: 97.38% / [[353, 4, 2], [12, 250, 2], [0, 1, 176]], * Val accuracy / confusion: 60.58% / [[165, 41, 24], [55, 99, 21], [21, 43, 51]] ------------------------------ Epoch 1114 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.047670 - Iter 024 / 025, Loss: 0.088144 * Train accuracy / confusion: 96.38% / [[341, 9, 1], [7, 260, 4], [4, 4, 170]], * Val accuracy / confusion: 58.08% / [[168, 37, 25], [55, 89, 31], [20, 50, 45]] ------------------------------ Epoch 1115 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.120205 - Iter 024 / 025, Loss: 0.116083 * Train accuracy / confusion: 95.88% / [[344, 8, 3], [10, 252, 4], [4, 4, 171]], * Val accuracy / confusion: 59.23% / [[158, 49, 23], [58, 102, 15], [19, 48, 48]] ------------------------------ Epoch 1116 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.038523 - Iter 024 / 025, Loss: 0.059436 * Train accuracy / confusion: 97.25% / [[348, 5, 1], [6, 257, 3], [1, 6, 173]], * Val accuracy / confusion: 57.31% / [[156, 45, 29], [49, 98, 28], [23, 48, 44]] ------------------------------ Epoch 1117 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.184456 - Iter 024 / 025, Loss: 0.154702 * Train accuracy / confusion: 96.75% / [[348, 5, 3], [10, 251, 6], [0, 2, 175]], * Val accuracy / confusion: 59.42% / [[156, 45, 29], [46, 103, 26], [18, 47, 50]] ------------------------------ Epoch 1118 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.022474 - Iter 024 / 025, Loss: 0.116566 * Train accuracy / confusion: 96.25% / [[351, 5, 0], [11, 251, 5], [6, 3, 168]], * Val accuracy / confusion: 59.62% / [[174, 34, 22], [66, 89, 20], [24, 44, 47]] ------------------------------ Epoch 1119 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.051455 - Iter 024 / 025, Loss: 0.045436 * Train accuracy / confusion: 95.88% / [[347, 6, 6], [10, 254, 4], [4, 3, 166]], * Val accuracy / confusion: 58.85% / [[160, 47, 23], [59, 97, 19], [24, 42, 49]] ------------------------------ Epoch 1120 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.151052 - Iter 024 / 025, Loss: 0.034742 * Train accuracy / confusion: 97.00% / [[349, 8, 1], [7, 257, 1], [3, 4, 170]], * Val accuracy / confusion: 58.85% / [[156, 42, 32], [55, 100, 20], [24, 41, 50]] ------------------------------ Epoch 1121 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.095314 - Iter 024 / 025, Loss: 0.054459 * Train accuracy / confusion: 95.88% / [[346, 5, 4], [12, 251, 5], [4, 3, 170]], * Val accuracy / confusion: 59.42% / [[163, 45, 22], [48, 100, 27], [24, 45, 46]] ------------------------------ Epoch 1122 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.101179 - Iter 024 / 025, Loss: 0.248200 * Train accuracy / confusion: 97.25% / [[347, 4, 2], [11, 257, 2], [1, 2, 174]], * Val accuracy / confusion: 59.81% / [[167, 46, 17], [49, 102, 24], [25, 48, 42]] ------------------------------ Epoch 1123 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.084640 - Iter 024 / 025, Loss: 0.063248 * Train accuracy / confusion: 96.12% / [[350, 7, 2], [13, 248, 3], [2, 4, 171]], * Val accuracy / confusion: 59.23% / [[168, 36, 26], [52, 93, 30], [25, 43, 47]] ------------------------------ Epoch 1124 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.094734 - Iter 024 / 025, Loss: 0.033133 * Train accuracy / confusion: 95.75% / [[344, 7, 4], [14, 251, 2], [4, 3, 171]], * Val accuracy / confusion: 56.35% / [[159, 49, 22], [59, 88, 28], [29, 40, 46]] ------------------------------ Epoch 1125 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.070886 - Iter 024 / 025, Loss: 0.077491 * Train accuracy / confusion: 96.25% / [[350, 5, 3], [12, 251, 5], [4, 1, 169]], * Val accuracy / confusion: 61.35% / [[169, 41, 20], [58, 101, 16], [18, 48, 49]] ------------------------------ Epoch 1126 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.046364 - Iter 024 / 025, Loss: 0.093891 * Train accuracy / confusion: 94.88% / [[343, 10, 1], [15, 246, 5], [5, 5, 170]], * Val accuracy / confusion: 54.81% / [[144, 58, 28], [51, 102, 22], [18, 58, 39]] ------------------------------ Epoch 1127 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.063782 - Iter 024 / 025, Loss: 0.029699 * Train accuracy / confusion: 97.12% / [[349, 6, 2], [7, 253, 2], [3, 3, 175]], * Val accuracy / confusion: 57.31% / [[147, 52, 31], [45, 107, 23], [23, 48, 44]] ------------------------------ Epoch 1128 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.089253 - Iter 024 / 025, Loss: 0.157333 * Train accuracy / confusion: 97.00% / [[347, 7, 3], [8, 256, 1], [2, 3, 173]], * Val accuracy / confusion: 58.46% / [[157, 49, 24], [56, 99, 20], [21, 46, 48]] ------------------------------ Epoch 1129 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.056922 - Iter 024 / 025, Loss: 0.096017 * Train accuracy / confusion: 96.88% / [[344, 7, 2], [9, 257, 1], [3, 3, 174]], * Val accuracy / confusion: 57.12% / [[156, 46, 28], [47, 89, 39], [20, 43, 52]] ------------------------------ Epoch 1130 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016447 - Iter 024 / 025, Loss: 0.202337 * Train accuracy / confusion: 97.12% / [[342, 4, 5], [8, 259, 2], [3, 1, 176]], * Val accuracy / confusion: 56.73% / [[168, 40, 22], [61, 82, 32], [21, 49, 45]] ------------------------------ Epoch 1131 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.038882 - Iter 024 / 025, Loss: 0.009640 * Train accuracy / confusion: 96.88% / [[344, 6, 3], [11, 257, 1], [3, 1, 174]], * Val accuracy / confusion: 59.23% / [[166, 43, 21], [48, 96, 31], [27, 42, 46]] ------------------------------ Epoch 1132 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.028026 - Iter 024 / 025, Loss: 0.013097 * Train accuracy / confusion: 97.12% / [[352, 5, 2], [11, 253, 2], [1, 2, 172]], * Val accuracy / confusion: 59.04% / [[165, 41, 24], [62, 98, 15], [23, 48, 44]] ------------------------------ Epoch 1133 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016253 - Iter 024 / 025, Loss: 0.185213 * Train accuracy / confusion: 95.88% / [[346, 5, 1], [13, 253, 4], [3, 7, 168]], * Val accuracy / confusion: 58.08% / [[166, 39, 25], [58, 91, 26], [25, 45, 45]] ------------------------------ Epoch 1134 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.113076 - Iter 024 / 025, Loss: 0.099796 * Train accuracy / confusion: 96.75% / [[350, 5, 2], [7, 254, 5], [4, 3, 170]], * Val accuracy / confusion: 59.62% / [[169, 43, 18], [57, 90, 28], [27, 37, 51]] ------------------------------ Epoch 1135 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.054453 - Iter 024 / 025, Loss: 0.153888 * Train accuracy / confusion: 96.88% / [[344, 8, 3], [10, 256, 2], [1, 1, 175]], * Val accuracy / confusion: 59.04% / [[163, 39, 28], [66, 94, 15], [22, 43, 50]] ------------------------------ Epoch 1136 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.023520 - Iter 024 / 025, Loss: 0.057177 * Train accuracy / confusion: 96.75% / [[348, 4, 3], [10, 255, 4], [5, 0, 171]], * Val accuracy / confusion: 59.23% / [[158, 45, 27], [49, 101, 25], [19, 47, 49]] ------------------------------ Epoch 1137 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.074894 - Iter 024 / 025, Loss: 0.218807 * Train accuracy / confusion: 96.88% / [[346, 7, 4], [4, 258, 4], [4, 2, 171]], * Val accuracy / confusion: 57.31% / [[166, 43, 21], [60, 90, 25], [25, 48, 42]] ------------------------------ Epoch 1138 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.043990 - Iter 024 / 025, Loss: 0.097102 * Train accuracy / confusion: 96.38% / [[348, 5, 2], [15, 251, 1], [3, 3, 172]], * Val accuracy / confusion: 59.62% / [[157, 44, 29], [47, 110, 18], [25, 47, 43]] ------------------------------ Epoch 1139 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.094257 - Iter 024 / 025, Loss: 0.259252 * Train accuracy / confusion: 95.25% / [[343, 9, 2], [18, 245, 6], [1, 2, 174]], * Val accuracy / confusion: 57.88% / [[154, 48, 28], [59, 100, 16], [22, 46, 47]] ------------------------------ Epoch 1140 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.100503 - Iter 024 / 025, Loss: 0.085551 * Train accuracy / confusion: 97.25% / [[349, 7, 2], [8, 254, 1], [1, 3, 175]], * Val accuracy / confusion: 56.15% / [[157, 51, 22], [58, 100, 17], [25, 55, 35]] ------------------------------ Epoch 1141 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.042930 - Iter 024 / 025, Loss: 0.043260 * Train accuracy / confusion: 97.12% / [[345, 9, 0], [8, 258, 1], [3, 2, 174]], * Val accuracy / confusion: 57.69% / [[160, 42, 28], [57, 96, 22], [25, 46, 44]] ------------------------------ Epoch 1142 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.127528 - Iter 024 / 025, Loss: 0.043639 * Train accuracy / confusion: 95.38% / [[344, 10, 2], [14, 247, 5], [4, 2, 172]], * Val accuracy / confusion: 56.54% / [[157, 46, 27], [52, 88, 35], [23, 43, 49]] ------------------------------ Epoch 1143 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.031169 - Iter 024 / 025, Loss: 0.213161 * Train accuracy / confusion: 96.38% / [[343, 7, 4], [6, 255, 6], [3, 3, 173]], * Val accuracy / confusion: 56.92% / [[151, 55, 24], [48, 100, 27], [19, 51, 45]] ------------------------------ Epoch 1144 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.112987 - Iter 024 / 025, Loss: 0.096474 * Train accuracy / confusion: 95.38% / [[347, 11, 1], [12, 248, 4], [5, 4, 168]], * Val accuracy / confusion: 59.42% / [[166, 43, 21], [52, 98, 25], [26, 44, 45]] ------------------------------ Epoch 1145 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.067723 - Iter 024 / 025, Loss: 0.129865 * Train accuracy / confusion: 95.50% / [[350, 6, 3], [14, 246, 5], [4, 4, 168]], * Val accuracy / confusion: 57.69% / [[162, 43, 25], [58, 100, 17], [22, 55, 38]] ------------------------------ Epoch 1146 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.058470 - Iter 024 / 025, Loss: 0.039619 * Train accuracy / confusion: 96.12% / [[346, 9, 4], [7, 255, 5], [3, 3, 168]], * Val accuracy / confusion: 58.08% / [[154, 52, 24], [56, 103, 16], [23, 47, 45]] ------------------------------ Epoch 1147 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.124068 - Iter 024 / 025, Loss: 0.054246 * Train accuracy / confusion: 96.62% / [[352, 7, 1], [12, 251, 3], [2, 2, 170]], * Val accuracy / confusion: 57.69% / [[158, 46, 26], [53, 93, 29], [24, 42, 49]] ------------------------------ Epoch 1148 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.040402 - Iter 024 / 025, Loss: 0.055998 * Train accuracy / confusion: 96.38% / [[350, 5, 3], [10, 250, 3], [3, 5, 171]], * Val accuracy / confusion: 59.23% / [[162, 43, 25], [55, 100, 20], [21, 48, 46]] ------------------------------ Epoch 1149 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.055400 - Iter 024 / 025, Loss: 0.128871 * Train accuracy / confusion: 96.38% / [[348, 6, 1], [8, 259, 1], [7, 6, 164]], * Val accuracy / confusion: 57.88% / [[158, 51, 21], [50, 102, 23], [27, 47, 41]] ------------------------------ Epoch 1150 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.126571 - Iter 024 / 025, Loss: 0.040903 * Train accuracy / confusion: 95.62% / [[345, 5, 2], [18, 250, 4], [4, 2, 170]], * Val accuracy / confusion: 58.46% / [[158, 38, 34], [51, 99, 25], [22, 46, 47]] ------------------------------ Epoch 1151 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.081525 - Iter 024 / 025, Loss: 0.024681 * Train accuracy / confusion: 97.62% / [[351, 3, 2], [9, 255, 3], [0, 2, 175]], * Val accuracy / confusion: 57.31% / [[158, 44, 28], [50, 97, 28], [24, 48, 43]] ------------------------------ Epoch 1152 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.127794 - Iter 024 / 025, Loss: 0.134366 * Train accuracy / confusion: 96.12% / [[341, 10, 2], [13, 254, 3], [2, 1, 174]], * Val accuracy / confusion: 56.54% / [[165, 38, 27], [63, 86, 26], [22, 50, 43]] ------------------------------ Epoch 1153 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.141456 - Iter 024 / 025, Loss: 0.054377 * Train accuracy / confusion: 96.75% / [[348, 6, 3], [9, 253, 4], [1, 3, 173]], * Val accuracy / confusion: 56.35% / [[159, 49, 22], [61, 94, 20], [29, 46, 40]] ------------------------------ Epoch 1154 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.038178 - Iter 024 / 025, Loss: 0.075681 * Train accuracy / confusion: 97.00% / [[348, 5, 2], [9, 254, 4], [1, 3, 174]], * Val accuracy / confusion: 57.50% / [[154, 55, 21], [51, 102, 22], [22, 50, 43]] ------------------------------ Epoch 1155 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.214727 - Iter 024 / 025, Loss: 0.085509 * Train accuracy / confusion: 95.12% / [[345, 8, 7], [13, 251, 3], [2, 6, 165]], * Val accuracy / confusion: 57.31% / [[153, 46, 31], [49, 94, 32], [27, 37, 51]] ------------------------------ Epoch 1156 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.144007 - Iter 024 / 025, Loss: 0.151286 * Train accuracy / confusion: 96.00% / [[346, 4, 3], [11, 255, 2], [3, 9, 167]], * Val accuracy / confusion: 57.12% / [[160, 44, 26], [65, 84, 26], [20, 42, 53]] ------------------------------ Epoch 1157 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.047911 - Iter 024 / 025, Loss: 0.075021 * Train accuracy / confusion: 97.00% / [[352, 4, 1], [12, 253, 1], [3, 3, 171]], * Val accuracy / confusion: 58.85% / [[163, 32, 35], [57, 94, 24], [26, 40, 49]] ------------------------------ Epoch 1158 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.014710 - Iter 024 / 025, Loss: 0.078676 * Train accuracy / confusion: 96.50% / [[349, 5, 2], [8, 255, 4], [3, 6, 168]], * Val accuracy / confusion: 61.35% / [[168, 39, 23], [55, 98, 22], [25, 37, 53]] ------------------------------ Epoch 1159 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.159005 - Iter 024 / 025, Loss: 0.072650 * Train accuracy / confusion: 97.38% / [[352, 3, 2], [12, 255, 3], [0, 1, 172]], * Val accuracy / confusion: 57.31% / [[155, 38, 37], [56, 94, 25], [26, 40, 49]] ------------------------------ Epoch 1160 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.035652 - Iter 024 / 025, Loss: 0.076963 * Train accuracy / confusion: 97.25% / [[353, 5, 1], [10, 257, 4], [0, 2, 168]], * Val accuracy / confusion: 58.46% / [[164, 39, 27], [54, 95, 26], [25, 45, 45]] ------------------------------ Epoch 1161 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.133895 - Iter 024 / 025, Loss: 0.073321 * Train accuracy / confusion: 97.00% / [[342, 6, 2], [9, 258, 5], [0, 2, 176]], * Val accuracy / confusion: 59.23% / [[169, 35, 26], [49, 90, 36], [22, 44, 49]] ------------------------------ Epoch 1162 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.073723 - Iter 024 / 025, Loss: 0.130230 * Train accuracy / confusion: 97.00% / [[345, 8, 1], [6, 257, 4], [2, 3, 174]], * Val accuracy / confusion: 59.62% / [[158, 50, 22], [57, 99, 19], [19, 43, 53]] ------------------------------ Epoch 1163 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.306603 - Iter 024 / 025, Loss: 0.041816 * Train accuracy / confusion: 95.88% / [[345, 12, 2], [9, 252, 2], [3, 5, 170]], * Val accuracy / confusion: 57.12% / [[167, 36, 27], [62, 87, 26], [25, 47, 43]] ------------------------------ Epoch 1164 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.052070 - Iter 024 / 025, Loss: 0.027634 * Train accuracy / confusion: 97.00% / [[349, 5, 1], [11, 256, 2], [3, 2, 171]], * Val accuracy / confusion: 58.27% / [[167, 37, 26], [55, 90, 30], [26, 43, 46]] ------------------------------ Epoch 1165 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.040986 - Iter 024 / 025, Loss: 0.133225 * Train accuracy / confusion: 96.62% / [[350, 4, 4], [10, 251, 3], [3, 3, 172]], * Val accuracy / confusion: 58.65% / [[165, 41, 24], [57, 90, 28], [21, 44, 50]] ------------------------------ Epoch 1166 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.008917 - Iter 024 / 025, Loss: 0.078123 * Train accuracy / confusion: 97.00% / [[346, 6, 2], [11, 256, 4], [1, 0, 174]], * Val accuracy / confusion: 58.46% / [[161, 41, 28], [54, 96, 25], [21, 47, 47]] ------------------------------ Epoch 1167 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.049017 - Iter 024 / 025, Loss: 0.071597 * Train accuracy / confusion: 96.88% / [[352, 5, 1], [12, 250, 3], [4, 0, 173]], * Val accuracy / confusion: 59.81% / [[162, 43, 25], [49, 104, 22], [21, 49, 45]] ------------------------------ Epoch 1168 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.124088 - Iter 024 / 025, Loss: 0.089529 * Train accuracy / confusion: 94.88% / [[339, 12, 4], [13, 252, 4], [5, 3, 168]], * Val accuracy / confusion: 60.77% / [[169, 37, 24], [45, 102, 28], [20, 50, 45]] ------------------------------ Epoch 1169 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.074348 - Iter 024 / 025, Loss: 0.057968 * Train accuracy / confusion: 97.00% / [[342, 8, 3], [6, 263, 2], [3, 2, 171]], * Val accuracy / confusion: 58.65% / [[158, 37, 35], [45, 98, 32], [20, 46, 49]] ------------------------------ Epoch 1170 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.070631 - Iter 024 / 025, Loss: 0.115100 * Train accuracy / confusion: 97.00% / [[354, 7, 1], [10, 252, 5], [0, 1, 170]], * Val accuracy / confusion: 58.85% / [[168, 34, 28], [54, 95, 26], [23, 49, 43]] ------------------------------ Epoch 1171 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.064118 - Iter 024 / 025, Loss: 0.111976 * Train accuracy / confusion: 97.62% / [[354, 3, 2], [8, 259, 0], [4, 2, 168]], * Val accuracy / confusion: 57.69% / [[158, 46, 26], [55, 94, 26], [21, 46, 48]] ------------------------------ Epoch 1172 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.100629 - Iter 024 / 025, Loss: 0.361663 * Train accuracy / confusion: 95.75% / [[345, 8, 4], [10, 253, 5], [6, 1, 168]], * Val accuracy / confusion: 57.12% / [[158, 53, 19], [55, 101, 19], [25, 52, 38]] ------------------------------ Epoch 1173 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.109931 - Iter 024 / 025, Loss: 0.055870 * Train accuracy / confusion: 96.88% / [[344, 7, 3], [12, 254, 2], [1, 0, 177]], * Val accuracy / confusion: 58.08% / [[156, 49, 25], [55, 100, 20], [21, 48, 46]] ------------------------------ Epoch 1174 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.303982 - Iter 024 / 025, Loss: 0.035579 * Train accuracy / confusion: 96.88% / [[344, 7, 3], [9, 256, 4], [0, 2, 175]], * Val accuracy / confusion: 60.19% / [[158, 51, 21], [54, 107, 14], [22, 45, 48]] ------------------------------ Epoch 1175 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.013476 - Iter 024 / 025, Loss: 0.176718 * Train accuracy / confusion: 97.12% / [[352, 7, 1], [3, 258, 5], [2, 5, 167]], * Val accuracy / confusion: 59.62% / [[158, 50, 22], [49, 105, 21], [22, 46, 47]] ------------------------------ Epoch 1176 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.025645 - Iter 024 / 025, Loss: 0.082508 * Train accuracy / confusion: 97.25% / [[354, 4, 1], [11, 252, 3], [1, 2, 172]], * Val accuracy / confusion: 58.27% / [[169, 37, 24], [54, 98, 23], [25, 54, 36]] ------------------------------ Epoch 1177 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.034334 - Iter 024 / 025, Loss: 0.160091 * Train accuracy / confusion: 96.25% / [[351, 7, 1], [11, 249, 5], [3, 3, 170]], * Val accuracy / confusion: 59.42% / [[175, 29, 26], [63, 84, 28], [24, 41, 50]] ------------------------------ Epoch 1178 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.018260 - Iter 024 / 025, Loss: 0.081461 * Train accuracy / confusion: 97.50% / [[350, 4, 3], [7, 260, 0], [3, 3, 170]], * Val accuracy / confusion: 59.62% / [[165, 48, 17], [52, 99, 24], [25, 44, 46]] ------------------------------ Epoch 1179 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.012902 - Iter 024 / 025, Loss: 0.265774 * Train accuracy / confusion: 96.75% / [[352, 6, 1], [11, 250, 2], [4, 2, 172]], * Val accuracy / confusion: 59.42% / [[164, 42, 24], [53, 100, 22], [24, 46, 45]] ------------------------------ Epoch 1180 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.019843 - Iter 024 / 025, Loss: 0.102322 * Train accuracy / confusion: 96.75% / [[347, 7, 0], [11, 254, 3], [4, 1, 173]], * Val accuracy / confusion: 55.96% / [[159, 41, 30], [51, 92, 32], [22, 53, 40]] ------------------------------ Epoch 1181 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.023808 - Iter 024 / 025, Loss: 0.100442 * Train accuracy / confusion: 95.62% / [[342, 11, 4], [11, 252, 4], [1, 4, 171]], * Val accuracy / confusion: 56.15% / [[149, 57, 24], [50, 102, 23], [19, 55, 41]] ------------------------------ Epoch 1182 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.022568 - Iter 024 / 025, Loss: 0.042532 * Train accuracy / confusion: 96.88% / [[351, 7, 2], [12, 253, 1], [0, 3, 171]], * Val accuracy / confusion: 60.19% / [[164, 45, 21], [50, 99, 26], [20, 45, 50]] ------------------------------ Epoch 1183 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.013153 - Iter 024 / 025, Loss: 0.108080 * Train accuracy / confusion: 97.00% / [[352, 6, 1], [10, 253, 3], [3, 1, 171]], * Val accuracy / confusion: 58.46% / [[164, 41, 25], [57, 97, 21], [28, 44, 43]] ------------------------------ Epoch 1184 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.075828 - Iter 024 / 025, Loss: 0.145655 * Train accuracy / confusion: 97.00% / [[348, 5, 3], [8, 257, 3], [2, 3, 171]], * Val accuracy / confusion: 57.69% / [[155, 45, 30], [48, 104, 23], [21, 53, 41]] ------------------------------ Epoch 1185 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.151953 - Iter 024 / 025, Loss: 0.013980 * Train accuracy / confusion: 96.12% / [[347, 5, 6], [8, 256, 3], [4, 5, 166]], * Val accuracy / confusion: 60.77% / [[161, 49, 20], [49, 104, 22], [27, 37, 51]] ------------------------------ Epoch 1186 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.361183 - Iter 024 / 025, Loss: 0.112530 * Train accuracy / confusion: 97.00% / [[344, 7, 2], [10, 255, 3], [1, 1, 177]], * Val accuracy / confusion: 56.15% / [[153, 49, 28], [53, 97, 25], [21, 52, 42]] ------------------------------ Epoch 1187 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.028665 - Iter 024 / 025, Loss: 0.144644 * Train accuracy / confusion: 96.25% / [[347, 6, 1], [12, 249, 6], [2, 3, 174]], * Val accuracy / confusion: 55.77% / [[153, 52, 25], [57, 91, 27], [23, 46, 46]] ------------------------------ Epoch 1188 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.114895 - Iter 024 / 025, Loss: 0.052695 * Train accuracy / confusion: 96.25% / [[348, 10, 2], [11, 249, 3], [3, 1, 173]], * Val accuracy / confusion: 58.85% / [[164, 39, 27], [62, 91, 22], [20, 44, 51]] ------------------------------ Epoch 1189 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.157973 - Iter 024 / 025, Loss: 0.017705 * Train accuracy / confusion: 96.50% / [[349, 7, 1], [8, 250, 4], [5, 3, 173]], * Val accuracy / confusion: 58.85% / [[174, 35, 21], [60, 96, 19], [25, 54, 36]] ------------------------------ Epoch 1190 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.188973 - Iter 024 / 025, Loss: 0.216955 * Train accuracy / confusion: 95.38% / [[344, 9, 5], [11, 251, 5], [2, 5, 168]], * Val accuracy / confusion: 57.88% / [[156, 42, 32], [52, 96, 27], [23, 43, 49]] ------------------------------ Epoch 1191 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.060813 - Iter 024 / 025, Loss: 0.185515 * Train accuracy / confusion: 96.38% / [[351, 5, 2], [12, 249, 2], [3, 5, 171]], * Val accuracy / confusion: 60.58% / [[165, 43, 22], [58, 103, 14], [23, 45, 47]] ------------------------------ Epoch 1192 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.076825 - Iter 024 / 025, Loss: 0.053739 * Train accuracy / confusion: 95.50% / [[345, 5, 6], [17, 250, 2], [3, 3, 169]], * Val accuracy / confusion: 60.38% / [[160, 55, 15], [51, 106, 18], [21, 46, 48]] ------------------------------ Epoch 1193 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.025675 - Iter 024 / 025, Loss: 0.140667 * Train accuracy / confusion: 96.50% / [[347, 5, 3], [11, 253, 2], [4, 3, 172]], * Val accuracy / confusion: 59.04% / [[153, 48, 29], [43, 104, 28], [23, 42, 50]] ------------------------------ Epoch 1194 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.092450 - Iter 024 / 025, Loss: 0.091507 * Train accuracy / confusion: 96.88% / [[347, 7, 2], [9, 254, 4], [2, 1, 174]], * Val accuracy / confusion: 60.19% / [[170, 37, 23], [57, 100, 18], [20, 52, 43]] ------------------------------ Epoch 1195 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.095967 - Iter 024 / 025, Loss: 0.152066 * Train accuracy / confusion: 96.88% / [[343, 8, 2], [7, 256, 3], [3, 2, 176]], * Val accuracy / confusion: 60.58% / [[165, 47, 18], [57, 105, 13], [22, 48, 45]] ------------------------------ Epoch 1196 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.055979 - Iter 024 / 025, Loss: 0.044829 * Train accuracy / confusion: 96.50% / [[346, 6, 5], [9, 255, 3], [0, 5, 171]], * Val accuracy / confusion: 57.50% / [[164, 40, 26], [60, 87, 28], [27, 40, 48]] ------------------------------ Epoch 1197 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.272506 - Iter 024 / 025, Loss: 0.251333 * Train accuracy / confusion: 96.12% / [[348, 6, 2], [9, 251, 4], [7, 3, 170]], * Val accuracy / confusion: 57.31% / [[153, 51, 26], [53, 99, 23], [19, 50, 46]] ------------------------------ Epoch 1198 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.048319 - Iter 024 / 025, Loss: 0.022577 * Train accuracy / confusion: 97.00% / [[347, 6, 2], [8, 253, 5], [2, 1, 176]], * Val accuracy / confusion: 60.38% / [[168, 34, 28], [51, 95, 29], [23, 41, 51]] ------------------------------ Epoch 1199 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.148413 - Iter 024 / 025, Loss: 0.161726 * Train accuracy / confusion: 96.50% / [[342, 8, 3], [8, 258, 4], [4, 1, 172]], * Val accuracy / confusion: 59.42% / [[163, 38, 29], [59, 95, 21], [24, 40, 51]] ------------------------------ Epoch 1200 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.042790 - Iter 024 / 025, Loss: 0.063869 * Train accuracy / confusion: 96.88% / [[354, 5, 0], [12, 253, 1], [3, 4, 168]], * Val accuracy / confusion: 57.69% / [[158, 46, 26], [54, 94, 27], [22, 45, 48]] ------------------------------ Epoch 1201 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.189030 - Iter 024 / 025, Loss: 0.080896 * Train accuracy / confusion: 95.62% / [[346, 3, 4], [14, 246, 6], [3, 5, 173]], * Val accuracy / confusion: 57.12% / [[152, 48, 30], [53, 100, 22], [22, 48, 45]] ------------------------------ Epoch 1202 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.111415 - Iter 024 / 025, Loss: 0.013903 * Train accuracy / confusion: 96.62% / [[350, 3, 2], [14, 251, 3], [2, 3, 172]], * Val accuracy / confusion: 58.65% / [[161, 45, 24], [53, 98, 24], [24, 45, 46]] ------------------------------ Epoch 1203 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.056789 - Iter 024 / 025, Loss: 0.061859 * Train accuracy / confusion: 97.12% / [[348, 5, 4], [6, 258, 4], [2, 2, 171]], * Val accuracy / confusion: 56.73% / [[164, 44, 22], [69, 83, 23], [24, 43, 48]] ------------------------------ Epoch 1204 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.105786 - Iter 024 / 025, Loss: 0.198913 * Train accuracy / confusion: 96.50% / [[346, 8, 0], [13, 256, 2], [2, 3, 170]], * Val accuracy / confusion: 58.85% / [[160, 43, 27], [60, 96, 19], [25, 40, 50]] ------------------------------ Epoch 1205 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.122494 - Iter 024 / 025, Loss: 0.128500 * Train accuracy / confusion: 95.62% / [[344, 5, 5], [15, 253, 3], [5, 2, 168]], * Val accuracy / confusion: 58.08% / [[165, 39, 26], [58, 93, 24], [23, 48, 44]] ------------------------------ Epoch 1206 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.149078 - Iter 024 / 025, Loss: 0.090267 * Train accuracy / confusion: 97.12% / [[353, 4, 2], [11, 253, 3], [1, 2, 171]], * Val accuracy / confusion: 60.19% / [[166, 38, 26], [51, 100, 24], [24, 44, 47]] ------------------------------ Epoch 1207 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.025430 - Iter 024 / 025, Loss: 0.102964 * Train accuracy / confusion: 97.50% / [[351, 6, 0], [9, 256, 0], [3, 2, 173]], * Val accuracy / confusion: 57.88% / [[161, 42, 27], [55, 94, 26], [18, 51, 46]] ------------------------------ Epoch 1208 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015835 - Iter 024 / 025, Loss: 0.098149 * Train accuracy / confusion: 96.38% / [[345, 6, 5], [12, 253, 3], [2, 1, 173]], * Val accuracy / confusion: 55.77% / [[158, 48, 24], [68, 88, 19], [27, 44, 44]] ------------------------------ Epoch 1209 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.096297 - Iter 024 / 025, Loss: 0.126995 * Train accuracy / confusion: 96.25% / [[346, 8, 4], [8, 255, 3], [3, 4, 169]], * Val accuracy / confusion: 58.27% / [[163, 43, 24], [56, 92, 27], [21, 46, 48]] ------------------------------ Epoch 1210 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.042970 - Iter 024 / 025, Loss: 0.037608 * Train accuracy / confusion: 96.50% / [[342, 8, 3], [7, 256, 4], [3, 3, 174]], * Val accuracy / confusion: 58.85% / [[166, 48, 16], [60, 95, 20], [28, 42, 45]] ------------------------------ Epoch 1211 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011487 - Iter 024 / 025, Loss: 0.081407 * Train accuracy / confusion: 96.75% / [[340, 7, 1], [9, 260, 5], [3, 1, 174]], * Val accuracy / confusion: 60.96% / [[166, 43, 21], [60, 97, 18], [29, 32, 54]] ------------------------------ Epoch 1212 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.035341 - Iter 024 / 025, Loss: 0.207826 * Train accuracy / confusion: 96.62% / [[351, 8, 2], [11, 251, 4], [1, 1, 171]], * Val accuracy / confusion: 57.88% / [[160, 45, 25], [59, 91, 25], [19, 46, 50]] ------------------------------ Epoch 1213 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.030430 - Iter 024 / 025, Loss: 0.206281 * Train accuracy / confusion: 97.75% / [[351, 5, 1], [9, 259, 1], [1, 1, 172]], * Val accuracy / confusion: 57.50% / [[167, 39, 24], [53, 91, 31], [24, 50, 41]] ------------------------------ Epoch 1214 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.042326 - Iter 024 / 025, Loss: 0.024043 * Train accuracy / confusion: 96.75% / [[347, 6, 3], [5, 256, 5], [2, 5, 171]], * Val accuracy / confusion: 57.50% / [[163, 46, 21], [53, 96, 26], [22, 53, 40]] ------------------------------ Epoch 1215 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.068693 - Iter 024 / 025, Loss: 0.013031 * Train accuracy / confusion: 96.75% / [[345, 7, 4], [8, 256, 2], [3, 2, 173]], * Val accuracy / confusion: 57.12% / [[160, 49, 21], [62, 92, 21], [20, 50, 45]] ------------------------------ Epoch 1216 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.204247 - Iter 024 / 025, Loss: 0.202156 * Train accuracy / confusion: 96.75% / [[349, 4, 3], [12, 253, 2], [4, 1, 172]], * Val accuracy / confusion: 58.65% / [[163, 42, 25], [57, 101, 17], [23, 51, 41]] ------------------------------ Epoch 1217 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018649 - Iter 024 / 025, Loss: 0.075868 * Train accuracy / confusion: 97.62% / [[347, 7, 1], [6, 261, 1], [2, 2, 173]], * Val accuracy / confusion: 57.50% / [[161, 45, 24], [61, 88, 26], [19, 46, 50]] ------------------------------ Epoch 1218 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.047882 - Iter 024 / 025, Loss: 0.041773 * Train accuracy / confusion: 97.62% / [[352, 4, 3], [7, 256, 3], [0, 2, 173]], * Val accuracy / confusion: 58.65% / [[162, 39, 29], [52, 98, 25], [20, 50, 45]] ------------------------------ Epoch 1219 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.086717 - Iter 024 / 025, Loss: 0.222524 * Train accuracy / confusion: 96.88% / [[341, 3, 8], [10, 259, 1], [2, 1, 175]], * Val accuracy / confusion: 59.04% / [[167, 42, 21], [56, 99, 20], [24, 50, 41]] ------------------------------ Epoch 1220 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.043469 - Iter 024 / 025, Loss: 0.053505 * Train accuracy / confusion: 95.75% / [[339, 9, 7], [9, 256, 2], [2, 5, 171]], * Val accuracy / confusion: 58.65% / [[159, 44, 27], [50, 104, 21], [22, 51, 42]] ------------------------------ Epoch 1221 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.105505 - Iter 024 / 025, Loss: 0.134223 * Train accuracy / confusion: 96.62% / [[348, 2, 5], [10, 253, 3], [3, 4, 172]], * Val accuracy / confusion: 56.73% / [[160, 44, 26], [55, 93, 27], [20, 53, 42]] ------------------------------ Epoch 1222 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.347293 - Iter 024 / 025, Loss: 0.108501 * Train accuracy / confusion: 96.75% / [[342, 11, 2], [7, 257, 1], [3, 2, 175]], * Val accuracy / confusion: 59.04% / [[163, 41, 26], [61, 95, 19], [23, 43, 49]] ------------------------------ Epoch 1223 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.089545 - Iter 024 / 025, Loss: 0.030940 * Train accuracy / confusion: 97.12% / [[349, 3, 4], [8, 259, 3], [2, 3, 169]], * Val accuracy / confusion: 55.58% / [[158, 42, 30], [69, 80, 26], [21, 43, 51]] ------------------------------ Epoch 1224 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.101138 - Iter 024 / 025, Loss: 0.030797 * Train accuracy / confusion: 95.88% / [[348, 7, 3], [11, 253, 4], [4, 4, 166]], * Val accuracy / confusion: 60.38% / [[161, 44, 25], [43, 105, 27], [18, 49, 48]] ------------------------------ Epoch 1225 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.180142 - Iter 024 / 025, Loss: 0.018714 * Train accuracy / confusion: 96.38% / [[347, 7, 3], [9, 250, 7], [2, 1, 174]], * Val accuracy / confusion: 56.15% / [[156, 47, 27], [60, 96, 19], [21, 54, 40]] ------------------------------ Epoch 1226 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.042512 - Iter 024 / 025, Loss: 0.030085 * Train accuracy / confusion: 96.88% / [[348, 5, 3], [9, 254, 5], [3, 0, 173]], * Val accuracy / confusion: 60.96% / [[171, 37, 22], [56, 99, 20], [21, 47, 47]] ------------------------------ Epoch 1227 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.047483 - Iter 024 / 025, Loss: 0.021485 * Train accuracy / confusion: 96.25% / [[345, 4, 4], [8, 256, 5], [4, 5, 169]], * Val accuracy / confusion: 57.31% / [[160, 38, 32], [58, 89, 28], [20, 46, 49]] ------------------------------ Epoch 1228 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.129310 - Iter 024 / 025, Loss: 0.137011 * Train accuracy / confusion: 96.25% / [[349, 9, 0], [9, 247, 7], [3, 2, 174]], * Val accuracy / confusion: 60.96% / [[164, 42, 24], [41, 102, 32], [18, 46, 51]] ------------------------------ Epoch 1229 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.113147 - Iter 024 / 025, Loss: 0.046023 * Train accuracy / confusion: 96.88% / [[344, 8, 4], [8, 256, 2], [1, 2, 175]], * Val accuracy / confusion: 58.27% / [[159, 38, 33], [57, 94, 24], [20, 45, 50]] ------------------------------ Epoch 1230 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.058919 - Iter 024 / 025, Loss: 0.082248 * Train accuracy / confusion: 97.50% / [[351, 4, 1], [9, 256, 1], [3, 2, 173]], * Val accuracy / confusion: 57.50% / [[161, 41, 28], [62, 88, 25], [20, 45, 50]] ------------------------------ Epoch 1231 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.154346 - Iter 024 / 025, Loss: 0.050184 * Train accuracy / confusion: 97.12% / [[351, 6, 1], [8, 254, 4], [2, 2, 172]], * Val accuracy / confusion: 57.50% / [[160, 48, 22], [61, 98, 16], [26, 48, 41]] ------------------------------ Epoch 1232 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.026871 - Iter 024 / 025, Loss: 0.044192 * Train accuracy / confusion: 96.62% / [[350, 0, 7], [10, 255, 2], [3, 5, 168]], * Val accuracy / confusion: 58.85% / [[157, 48, 25], [47, 105, 23], [25, 46, 44]] ------------------------------ Epoch 1233 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.203258 - Iter 024 / 025, Loss: 0.037379 * Train accuracy / confusion: 96.00% / [[342, 9, 5], [9, 252, 5], [0, 4, 174]], * Val accuracy / confusion: 59.04% / [[159, 45, 26], [59, 98, 18], [22, 43, 50]] ------------------------------ Epoch 1234 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.155925 - Iter 024 / 025, Loss: 0.026627 * Train accuracy / confusion: 96.50% / [[348, 4, 2], [16, 250, 2], [0, 4, 174]], * Val accuracy / confusion: 57.69% / [[160, 40, 30], [54, 94, 27], [23, 46, 46]] ------------------------------ Epoch 1235 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.076037 - Iter 024 / 025, Loss: 0.090275 * Train accuracy / confusion: 97.62% / [[353, 3, 1], [8, 252, 3], [3, 1, 176]], * Val accuracy / confusion: 55.96% / [[153, 46, 31], [62, 92, 21], [25, 44, 46]] ------------------------------ Epoch 1236 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.014575 - Iter 024 / 025, Loss: 0.018131 * Train accuracy / confusion: 97.00% / [[352, 6, 2], [10, 256, 2], [1, 3, 168]], * Val accuracy / confusion: 58.27% / [[160, 46, 24], [51, 96, 28], [23, 45, 47]] ------------------------------ Epoch 1237 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.089454 - Iter 024 / 025, Loss: 0.017815 * Train accuracy / confusion: 97.62% / [[349, 7, 1], [5, 259, 2], [2, 2, 173]], * Val accuracy / confusion: 59.62% / [[164, 44, 22], [54, 102, 19], [25, 46, 44]] ------------------------------ Epoch 1238 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.248315 - Iter 024 / 025, Loss: 0.034262 * Train accuracy / confusion: 95.75% / [[347, 7, 2], [11, 250, 7], [1, 6, 169]], * Val accuracy / confusion: 57.69% / [[167, 43, 20], [64, 95, 16], [25, 52, 38]] ------------------------------ Epoch 1239 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.025190 - Iter 024 / 025, Loss: 0.007611 * Train accuracy / confusion: 97.12% / [[349, 4, 2], [7, 256, 3], [3, 4, 172]], * Val accuracy / confusion: 60.19% / [[167, 37, 26], [49, 101, 25], [24, 46, 45]] ------------------------------ Epoch 1240 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.132709 - Iter 024 / 025, Loss: 0.100268 * Train accuracy / confusion: 97.00% / [[350, 4, 0], [10, 256, 4], [3, 3, 170]], * Val accuracy / confusion: 59.04% / [[162, 40, 28], [54, 96, 25], [24, 42, 49]] ------------------------------ Epoch 1241 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.103113 - Iter 024 / 025, Loss: 0.035336 * Train accuracy / confusion: 97.62% / [[348, 2, 1], [8, 261, 3], [4, 1, 172]], * Val accuracy / confusion: 59.42% / [[166, 39, 25], [57, 98, 20], [26, 44, 45]] ------------------------------ Epoch 1242 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.093487 - Iter 024 / 025, Loss: 0.012933 * Train accuracy / confusion: 97.25% / [[353, 5, 1], [6, 259, 4], [5, 1, 166]], * Val accuracy / confusion: 56.54% / [[156, 46, 28], [58, 98, 19], [23, 52, 40]] ------------------------------ Epoch 1243 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.029180 - Iter 024 / 025, Loss: 0.028016 * Train accuracy / confusion: 96.25% / [[346, 4, 2], [12, 255, 3], [5, 4, 169]], * Val accuracy / confusion: 58.08% / [[156, 41, 33], [53, 96, 26], [23, 42, 50]] ------------------------------ Epoch 1244 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.125939 - Iter 024 / 025, Loss: 0.056929 * Train accuracy / confusion: 97.25% / [[341, 10, 0], [6, 260, 3], [2, 1, 177]], * Val accuracy / confusion: 57.69% / [[156, 47, 27], [59, 94, 22], [24, 41, 50]] ------------------------------ Epoch 1245 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.085400 - Iter 024 / 025, Loss: 0.040882 * Train accuracy / confusion: 97.00% / [[349, 6, 3], [7, 255, 1], [1, 6, 172]], * Val accuracy / confusion: 58.85% / [[161, 47, 22], [63, 99, 13], [23, 46, 46]] ------------------------------ Epoch 1246 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013382 - Iter 024 / 025, Loss: 0.161473 * Train accuracy / confusion: 97.00% / [[348, 5, 1], [15, 252, 2], [1, 0, 176]], * Val accuracy / confusion: 58.46% / [[168, 35, 27], [61, 91, 23], [26, 44, 45]] ------------------------------ Epoch 1247 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.167305 - Iter 024 / 025, Loss: 0.215680 * Train accuracy / confusion: 98.00% / [[353, 3, 1], [7, 259, 3], [0, 2, 172]], * Val accuracy / confusion: 57.69% / [[160, 40, 30], [56, 90, 29], [24, 41, 50]] ------------------------------ Epoch 1248 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010180 - Iter 024 / 025, Loss: 0.226523 * Train accuracy / confusion: 96.75% / [[352, 8, 2], [7, 255, 2], [4, 3, 167]], * Val accuracy / confusion: 58.27% / [[163, 42, 25], [53, 87, 35], [27, 35, 53]] ------------------------------ Epoch 1249 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.154403 - Iter 024 / 025, Loss: 0.042224 * Train accuracy / confusion: 97.12% / [[347, 5, 1], [9, 256, 4], [1, 3, 174]], * Val accuracy / confusion: 56.92% / [[157, 51, 22], [54, 100, 21], [21, 55, 39]] ------------------------------ Epoch 1250 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.047616 - Iter 024 / 025, Loss: 0.173034 * Train accuracy / confusion: 97.12% / [[352, 3, 1], [10, 255, 4], [2, 3, 170]], * Val accuracy / confusion: 60.19% / [[165, 41, 24], [54, 91, 30], [20, 38, 57]] ------------------------------ Epoch 1251 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.040979 - Iter 024 / 025, Loss: 0.028177 * Train accuracy / confusion: 96.75% / [[346, 8, 2], [9, 257, 0], [3, 4, 171]], * Val accuracy / confusion: 56.15% / [[160, 50, 20], [59, 89, 27], [23, 49, 43]] ------------------------------ Epoch 1252 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.057704 - Iter 024 / 025, Loss: 0.170313 * Train accuracy / confusion: 96.62% / [[346, 10, 1], [12, 254, 2], [2, 0, 173]], * Val accuracy / confusion: 58.46% / [[162, 40, 28], [48, 102, 25], [27, 48, 40]] ------------------------------ Epoch 1253 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.031161 - Iter 024 / 025, Loss: 0.019802 * Train accuracy / confusion: 97.12% / [[345, 6, 5], [8, 261, 2], [1, 1, 171]], * Val accuracy / confusion: 58.85% / [[165, 41, 24], [59, 91, 25], [25, 40, 50]] ------------------------------ Epoch 1254 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024976 - Iter 024 / 025, Loss: 0.070166 * Train accuracy / confusion: 95.88% / [[340, 8, 4], [10, 258, 2], [3, 6, 169]], * Val accuracy / confusion: 58.85% / [[161, 41, 28], [51, 103, 21], [28, 45, 42]] ------------------------------ Epoch 1255 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.102832 - Iter 024 / 025, Loss: 0.126541 * Train accuracy / confusion: 97.50% / [[355, 3, 1], [7, 253, 4], [2, 3, 172]], * Val accuracy / confusion: 58.27% / [[161, 48, 21], [65, 95, 15], [18, 50, 47]] ------------------------------ Epoch 1256 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.022020 - Iter 024 / 025, Loss: 0.179978 * Train accuracy / confusion: 96.88% / [[343, 8, 4], [10, 256, 2], [0, 1, 176]], * Val accuracy / confusion: 58.27% / [[166, 39, 25], [55, 92, 28], [27, 43, 45]] ------------------------------ Epoch 1257 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.187360 - Iter 024 / 025, Loss: 0.168930 * Train accuracy / confusion: 96.88% / [[352, 4, 2], [12, 253, 1], [2, 4, 170]], * Val accuracy / confusion: 61.73% / [[172, 36, 22], [51, 103, 21], [23, 46, 46]] ------------------------------ Epoch 1258 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.109687 - Iter 024 / 025, Loss: 0.090686 * Train accuracy / confusion: 97.88% / [[350, 3, 2], [10, 253, 2], [0, 0, 180]], * Val accuracy / confusion: 54.04% / [[150, 49, 31], [59, 90, 26], [24, 50, 41]] ------------------------------ Epoch 1259 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018398 - Iter 024 / 025, Loss: 0.016929 * Train accuracy / confusion: 97.88% / [[349, 3, 1], [10, 259, 1], [1, 1, 175]], * Val accuracy / confusion: 60.38% / [[164, 45, 21], [59, 96, 20], [23, 38, 54]] ------------------------------ Epoch 1260 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.022860 - Iter 024 / 025, Loss: 0.019194 * Train accuracy / confusion: 96.62% / [[347, 6, 2], [10, 254, 2], [4, 3, 172]], * Val accuracy / confusion: 57.50% / [[161, 43, 26], [63, 93, 19], [29, 41, 45]] ------------------------------ Epoch 1261 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.031756 - Iter 024 / 025, Loss: 0.147941 * Train accuracy / confusion: 96.62% / [[348, 10, 1], [10, 254, 2], [1, 3, 171]], * Val accuracy / confusion: 59.81% / [[166, 33, 31], [60, 93, 22], [27, 36, 52]] ------------------------------ Epoch 1262 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.047450 - Iter 024 / 025, Loss: 0.056634 * Train accuracy / confusion: 96.50% / [[347, 8, 2], [10, 253, 3], [3, 2, 172]], * Val accuracy / confusion: 58.65% / [[159, 41, 30], [47, 98, 30], [23, 44, 48]] ------------------------------ Epoch 1263 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.022944 - Iter 024 / 025, Loss: 0.214547 * Train accuracy / confusion: 96.75% / [[345, 3, 7], [9, 254, 3], [2, 2, 175]], * Val accuracy / confusion: 59.04% / [[167, 38, 25], [55, 102, 18], [25, 52, 38]] ------------------------------ Epoch 1264 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.030395 - Iter 024 / 025, Loss: 0.071883 * Train accuracy / confusion: 96.38% / [[347, 8, 2], [11, 251, 4], [1, 3, 173]], * Val accuracy / confusion: 57.31% / [[153, 50, 27], [56, 95, 24], [19, 46, 50]] ------------------------------ Epoch 1265 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.022299 - Iter 024 / 025, Loss: 0.190548 * Train accuracy / confusion: 97.50% / [[343, 4, 4], [7, 260, 2], [2, 1, 177]], * Val accuracy / confusion: 59.62% / [[166, 41, 23], [60, 98, 17], [27, 42, 46]] ------------------------------ Epoch 1266 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.103261 - Iter 024 / 025, Loss: 0.055329 * Train accuracy / confusion: 96.38% / [[343, 5, 1], [13, 256, 3], [4, 3, 172]], * Val accuracy / confusion: 62.12% / [[175, 35, 20], [53, 99, 23], [21, 45, 49]] ------------------------------ Epoch 1267 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.194108 - Iter 024 / 025, Loss: 0.075913 * Train accuracy / confusion: 96.12% / [[350, 5, 2], [12, 251, 3], [5, 4, 168]], * Val accuracy / confusion: 55.58% / [[157, 46, 27], [64, 87, 24], [18, 52, 45]] ------------------------------ Epoch 1268 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.152775 - Iter 024 / 025, Loss: 0.061248 * Train accuracy / confusion: 96.88% / [[349, 8, 0], [5, 259, 8], [1, 3, 167]], * Val accuracy / confusion: 58.46% / [[169, 38, 23], [58, 93, 24], [25, 48, 42]] ------------------------------ Epoch 1269 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.023040 - Iter 024 / 025, Loss: 0.216549 * Train accuracy / confusion: 97.62% / [[354, 7, 1], [7, 259, 2], [1, 1, 168]], * Val accuracy / confusion: 56.54% / [[158, 41, 31], [51, 99, 25], [27, 51, 37]] ------------------------------ Epoch 1270 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.166305 - Iter 024 / 025, Loss: 0.024837 * Train accuracy / confusion: 97.12% / [[352, 5, 0], [7, 256, 3], [3, 5, 169]], * Val accuracy / confusion: 57.12% / [[156, 51, 23], [53, 100, 22], [22, 52, 41]] ------------------------------ Epoch 1271 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.033863 - Iter 024 / 025, Loss: 0.087226 * Train accuracy / confusion: 96.75% / [[349, 6, 1], [11, 254, 5], [1, 2, 171]], * Val accuracy / confusion: 57.50% / [[153, 55, 22], [44, 101, 30], [18, 52, 45]] ------------------------------ Epoch 1272 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.083870 - Iter 024 / 025, Loss: 0.079444 * Train accuracy / confusion: 97.12% / [[352, 4, 1], [11, 253, 6], [0, 1, 172]], * Val accuracy / confusion: 58.65% / [[156, 40, 34], [51, 96, 28], [20, 42, 53]] ------------------------------ Epoch 1273 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.035018 - Iter 024 / 025, Loss: 0.157505 * Train accuracy / confusion: 96.00% / [[348, 7, 2], [11, 246, 8], [3, 1, 174]], * Val accuracy / confusion: 58.46% / [[164, 40, 26], [60, 96, 19], [23, 48, 44]] ------------------------------ Epoch 1274 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.133539 - Iter 024 / 025, Loss: 0.034099 * Train accuracy / confusion: 97.50% / [[357, 3, 1], [9, 252, 2], [5, 0, 171]], * Val accuracy / confusion: 60.58% / [[162, 42, 26], [45, 105, 25], [21, 46, 48]] ------------------------------ Epoch 1275 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.088877 - Iter 024 / 025, Loss: 0.088222 * Train accuracy / confusion: 97.00% / [[354, 5, 0], [11, 255, 0], [4, 4, 167]], * Val accuracy / confusion: 58.85% / [[160, 50, 20], [53, 103, 19], [23, 49, 43]] ------------------------------ Epoch 1276 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.059282 - Iter 024 / 025, Loss: 0.082860 * Train accuracy / confusion: 96.38% / [[345, 8, 5], [7, 256, 2], [3, 4, 170]], * Val accuracy / confusion: 60.00% / [[164, 46, 20], [50, 101, 24], [18, 50, 47]] ------------------------------ Epoch 1277 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.221589 - Iter 024 / 025, Loss: 0.163538 * Train accuracy / confusion: 97.38% / [[346, 4, 1], [8, 260, 4], [1, 3, 173]], * Val accuracy / confusion: 59.81% / [[166, 38, 26], [56, 100, 19], [21, 49, 45]] ------------------------------ Epoch 1278 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.038940 - Iter 024 / 025, Loss: 0.024835 * Train accuracy / confusion: 96.25% / [[351, 6, 1], [15, 251, 4], [2, 2, 168]], * Val accuracy / confusion: 59.42% / [[160, 39, 31], [55, 100, 20], [28, 38, 49]] ------------------------------ Epoch 1279 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.100622 - Iter 024 / 025, Loss: 0.049809 * Train accuracy / confusion: 98.00% / [[349, 6, 1], [5, 260, 1], [1, 2, 175]], * Val accuracy / confusion: 56.73% / [[158, 48, 24], [59, 92, 24], [21, 49, 45]] ------------------------------ Epoch 1280 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.023024 - Iter 024 / 025, Loss: 0.076727 * Train accuracy / confusion: 97.88% / [[355, 4, 1], [6, 258, 3], [2, 1, 170]], * Val accuracy / confusion: 58.65% / [[161, 46, 23], [51, 102, 22], [21, 52, 42]] ------------------------------ Epoch 1281 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.122727 - Iter 024 / 025, Loss: 0.038564 * Train accuracy / confusion: 97.25% / [[356, 4, 2], [9, 251, 4], [1, 2, 171]], * Val accuracy / confusion: 57.50% / [[165, 44, 21], [55, 101, 19], [29, 53, 33]] ------------------------------ Epoch 1282 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.106502 - Iter 024 / 025, Loss: 0.068841 * Train accuracy / confusion: 97.12% / [[350, 8, 0], [7, 256, 2], [5, 1, 171]], * Val accuracy / confusion: 58.85% / [[157, 49, 24], [48, 103, 24], [22, 47, 46]] ------------------------------ Epoch 1283 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.031474 - Iter 024 / 025, Loss: 0.095341 * Train accuracy / confusion: 96.88% / [[354, 4, 2], [9, 247, 5], [2, 3, 174]], * Val accuracy / confusion: 59.23% / [[160, 46, 24], [53, 100, 22], [24, 43, 48]] ------------------------------ Epoch 1284 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024456 - Iter 024 / 025, Loss: 0.066100 * Train accuracy / confusion: 96.50% / [[345, 8, 5], [7, 259, 2], [1, 5, 168]], * Val accuracy / confusion: 63.27% / [[167, 38, 25], [42, 107, 26], [21, 39, 55]] ------------------------------ Epoch 1285 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.063134 - Iter 024 / 025, Loss: 0.140795 * Train accuracy / confusion: 95.75% / [[348, 8, 3], [13, 245, 4], [4, 2, 173]], * Val accuracy / confusion: 59.42% / [[174, 35, 21], [54, 96, 25], [26, 50, 39]] ------------------------------ Epoch 1286 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.079857 - Iter 024 / 025, Loss: 0.019472 * Train accuracy / confusion: 96.00% / [[350, 5, 2], [9, 250, 6], [4, 6, 168]], * Val accuracy / confusion: 61.15% / [[159, 43, 28], [46, 109, 20], [23, 42, 50]] ------------------------------ Epoch 1287 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.188379 - Iter 024 / 025, Loss: 0.053223 * Train accuracy / confusion: 97.38% / [[350, 4, 3], [8, 262, 0], [2, 4, 167]], * Val accuracy / confusion: 58.65% / [[164, 41, 25], [54, 94, 27], [20, 48, 47]] ------------------------------ Epoch 1288 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.017976 - Iter 024 / 025, Loss: 0.035176 * Train accuracy / confusion: 98.12% / [[347, 1, 0], [7, 264, 1], [3, 3, 174]], * Val accuracy / confusion: 60.00% / [[170, 36, 24], [54, 99, 22], [24, 48, 43]] ------------------------------ Epoch 1289 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.070225 - Iter 024 / 025, Loss: 0.051191 * Train accuracy / confusion: 97.88% / [[354, 1, 2], [9, 258, 3], [2, 0, 171]], * Val accuracy / confusion: 58.27% / [[161, 42, 27], [53, 101, 21], [20, 54, 41]] ------------------------------ Epoch 1290 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.085871 - Iter 024 / 025, Loss: 0.034852 * Train accuracy / confusion: 96.25% / [[344, 11, 3], [12, 251, 1], [2, 1, 175]], * Val accuracy / confusion: 60.00% / [[162, 43, 25], [53, 105, 17], [22, 48, 45]] ------------------------------ Epoch 1291 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.339426 - Iter 024 / 025, Loss: 0.165247 * Train accuracy / confusion: 97.50% / [[348, 6, 3], [7, 258, 2], [0, 2, 174]], * Val accuracy / confusion: 58.27% / [[162, 43, 25], [59, 94, 22], [20, 48, 47]] ------------------------------ Epoch 1292 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018045 - Iter 024 / 025, Loss: 0.057525 * Train accuracy / confusion: 97.38% / [[348, 1, 4], [12, 255, 1], [1, 2, 176]], * Val accuracy / confusion: 55.58% / [[157, 44, 29], [62, 88, 25], [22, 49, 44]] ------------------------------ Epoch 1293 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.088093 - Iter 024 / 025, Loss: 0.135374 * Train accuracy / confusion: 98.12% / [[353, 2, 1], [7, 259, 2], [2, 1, 173]], * Val accuracy / confusion: 59.42% / [[165, 41, 24], [54, 101, 20], [26, 46, 43]] ------------------------------ Epoch 1294 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.117230 - Iter 024 / 025, Loss: 0.017586 * Train accuracy / confusion: 98.12% / [[354, 5, 3], [4, 256, 1], [0, 2, 175]], * Val accuracy / confusion: 57.69% / [[161, 46, 23], [54, 99, 22], [22, 53, 40]] ------------------------------ Epoch 1295 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.017523 - Iter 024 / 025, Loss: 0.029993 * Train accuracy / confusion: 97.25% / [[349, 5, 1], [10, 256, 3], [2, 1, 173]], * Val accuracy / confusion: 57.50% / [[162, 42, 26], [58, 95, 22], [28, 45, 42]] ------------------------------ Epoch 1296 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.159002 - Iter 024 / 025, Loss: 0.187364 * Train accuracy / confusion: 97.12% / [[349, 8, 1], [10, 260, 1], [2, 1, 168]], * Val accuracy / confusion: 56.73% / [[157, 44, 29], [49, 97, 29], [20, 54, 41]] ------------------------------ Epoch 1297 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.219514 - Iter 024 / 025, Loss: 0.049810 * Train accuracy / confusion: 97.12% / [[350, 3, 1], [9, 251, 5], [4, 1, 176]], * Val accuracy / confusion: 57.31% / [[158, 47, 25], [57, 96, 22], [24, 47, 44]] ------------------------------ Epoch 1298 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.169974 - Iter 024 / 025, Loss: 0.040500 * Train accuracy / confusion: 97.12% / [[349, 4, 1], [11, 255, 2], [3, 2, 173]], * Val accuracy / confusion: 58.08% / [[166, 40, 24], [50, 97, 28], [21, 55, 39]] ------------------------------ Epoch 1299 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.122186 - Iter 024 / 025, Loss: 0.050284 * Train accuracy / confusion: 97.62% / [[351, 5, 5], [5, 258, 3], [1, 0, 172]], * Val accuracy / confusion: 60.77% / [[166, 46, 18], [50, 97, 28], [20, 42, 53]] ------------------------------ Epoch 1300 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.040449 - Iter 024 / 025, Loss: 0.031433 * Train accuracy / confusion: 97.38% / [[351, 6, 2], [9, 257, 2], [2, 0, 171]], * Val accuracy / confusion: 59.81% / [[169, 38, 23], [51, 96, 28], [23, 46, 46]] ------------------------------ Epoch 1301 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.092796 - Iter 024 / 025, Loss: 0.058591 * Train accuracy / confusion: 97.88% / [[351, 3, 1], [7, 257, 2], [2, 2, 175]], * Val accuracy / confusion: 57.50% / [[156, 53, 21], [57, 97, 21], [24, 45, 46]] ------------------------------ Epoch 1302 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.087552 - Iter 024 / 025, Loss: 0.155242 * Train accuracy / confusion: 97.12% / [[349, 5, 3], [7, 258, 2], [4, 2, 170]], * Val accuracy / confusion: 59.23% / [[160, 49, 21], [56, 96, 23], [20, 43, 52]] ------------------------------ Epoch 1303 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.134172 - Iter 024 / 025, Loss: 0.070357 * Train accuracy / confusion: 96.75% / [[343, 11, 0], [6, 257, 3], [3, 3, 174]], * Val accuracy / confusion: 60.00% / [[168, 41, 21], [48, 106, 21], [24, 53, 38]] ------------------------------ Epoch 1304 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.027296 - Iter 024 / 025, Loss: 0.089743 * Train accuracy / confusion: 97.25% / [[354, 4, 1], [8, 255, 3], [5, 1, 169]], * Val accuracy / confusion: 59.81% / [[165, 44, 21], [48, 100, 27], [22, 47, 46]] ------------------------------ Epoch 1305 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.113211 - Iter 024 / 025, Loss: 0.028074 * Train accuracy / confusion: 97.12% / [[346, 5, 1], [9, 258, 2], [1, 5, 173]], * Val accuracy / confusion: 59.62% / [[163, 42, 25], [48, 104, 23], [21, 51, 43]] ------------------------------ Epoch 1306 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.069697 - Iter 024 / 025, Loss: 0.057662 * Train accuracy / confusion: 97.50% / [[356, 3, 2], [8, 254, 4], [3, 0, 170]], * Val accuracy / confusion: 58.27% / [[160, 52, 18], [47, 100, 28], [24, 48, 43]] ------------------------------ Epoch 1307 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.208525 - Iter 024 / 025, Loss: 0.013726 * Train accuracy / confusion: 97.25% / [[349, 4, 5], [6, 258, 2], [4, 1, 171]], * Val accuracy / confusion: 59.04% / [[161, 42, 27], [57, 97, 21], [24, 42, 49]] ------------------------------ Epoch 1308 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011466 - Iter 024 / 025, Loss: 0.091926 * Train accuracy / confusion: 97.38% / [[350, 7, 0], [6, 259, 3], [3, 2, 170]], * Val accuracy / confusion: 58.85% / [[168, 36, 26], [55, 93, 27], [25, 45, 45]] ------------------------------ Epoch 1309 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.242583 - Iter 024 / 025, Loss: 0.458766 * Train accuracy / confusion: 96.38% / [[344, 11, 4], [9, 255, 1], [2, 2, 172]], * Val accuracy / confusion: 58.65% / [[161, 39, 30], [56, 100, 19], [22, 49, 44]] ------------------------------ Epoch 1310 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.116285 - Iter 024 / 025, Loss: 0.093505 * Train accuracy / confusion: 96.62% / [[344, 9, 0], [6, 257, 5], [5, 2, 172]], * Val accuracy / confusion: 59.42% / [[155, 45, 30], [50, 99, 26], [23, 37, 55]] ------------------------------ Epoch 1311 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.047110 - Iter 024 / 025, Loss: 0.083614 * Train accuracy / confusion: 96.50% / [[349, 9, 1], [10, 255, 4], [1, 3, 168]], * Val accuracy / confusion: 59.04% / [[159, 40, 31], [47, 99, 29], [20, 46, 49]] ------------------------------ Epoch 1312 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.066273 - Iter 024 / 025, Loss: 0.088947 * Train accuracy / confusion: 97.12% / [[343, 5, 3], [6, 262, 3], [3, 3, 172]], * Val accuracy / confusion: 58.08% / [[161, 44, 25], [60, 96, 19], [21, 49, 45]] ------------------------------ Epoch 1313 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.091931 - Iter 024 / 025, Loss: 0.019624 * Train accuracy / confusion: 95.88% / [[349, 7, 5], [8, 249, 7], [4, 2, 169]], * Val accuracy / confusion: 56.92% / [[160, 42, 28], [55, 99, 21], [24, 54, 37]] ------------------------------ Epoch 1314 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016566 - Iter 024 / 025, Loss: 0.597429 * Train accuracy / confusion: 96.25% / [[347, 8, 3], [10, 257, 2], [2, 5, 166]], * Val accuracy / confusion: 61.73% / [[166, 44, 20], [49, 106, 20], [21, 45, 49]] ------------------------------ Epoch 1315 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.041920 - Iter 024 / 025, Loss: 0.011984 * Train accuracy / confusion: 97.12% / [[350, 8, 2], [8, 255, 1], [1, 3, 172]], * Val accuracy / confusion: 60.96% / [[163, 45, 22], [51, 105, 19], [18, 48, 49]] ------------------------------ Epoch 1316 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.048094 - Iter 024 / 025, Loss: 0.019957 * Train accuracy / confusion: 98.25% / [[358, 2, 1], [7, 262, 0], [2, 2, 166]], * Val accuracy / confusion: 60.00% / [[162, 44, 24], [54, 101, 20], [18, 48, 49]] ------------------------------ Epoch 1317 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.073880 - Iter 024 / 025, Loss: 0.011304 * Train accuracy / confusion: 97.00% / [[347, 6, 1], [10, 255, 5], [1, 1, 174]], * Val accuracy / confusion: 60.00% / [[168, 43, 19], [56, 97, 22], [28, 40, 47]] ------------------------------ Epoch 1318 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.210930 - Iter 024 / 025, Loss: 0.098374 * Train accuracy / confusion: 96.25% / [[347, 6, 1], [9, 256, 7], [3, 4, 167]], * Val accuracy / confusion: 60.00% / [[167, 37, 26], [63, 95, 17], [27, 38, 50]] ------------------------------ Epoch 1319 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.162813 - Iter 024 / 025, Loss: 0.056362 * Train accuracy / confusion: 97.38% / [[345, 8, 2], [5, 265, 1], [1, 4, 169]], * Val accuracy / confusion: 57.69% / [[158, 42, 30], [51, 97, 27], [23, 47, 45]] ------------------------------ Epoch 1320 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.029981 - Iter 024 / 025, Loss: 0.056438 * Train accuracy / confusion: 94.75% / [[335, 10, 7], [11, 251, 5], [5, 4, 172]], * Val accuracy / confusion: 60.58% / [[162, 46, 22], [45, 110, 20], [17, 55, 43]] ------------------------------ Epoch 1321 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.151518 - Iter 024 / 025, Loss: 0.257207 * Train accuracy / confusion: 97.12% / [[351, 5, 3], [9, 257, 1], [2, 3, 169]], * Val accuracy / confusion: 61.35% / [[167, 39, 24], [47, 104, 24], [22, 45, 48]] ------------------------------ Epoch 1322 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.028494 - Iter 024 / 025, Loss: 0.024121 * Train accuracy / confusion: 97.38% / [[349, 3, 4], [9, 256, 2], [1, 2, 174]], * Val accuracy / confusion: 58.85% / [[165, 45, 20], [51, 96, 28], [21, 49, 45]] ------------------------------ Epoch 1323 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.050752 - Iter 024 / 025, Loss: 0.145561 * Train accuracy / confusion: 97.00% / [[352, 8, 1], [7, 254, 4], [4, 0, 170]], * Val accuracy / confusion: 59.81% / [[161, 42, 27], [48, 103, 24], [20, 48, 47]] ------------------------------ Epoch 1324 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.208150 - Iter 024 / 025, Loss: 0.027025 * Train accuracy / confusion: 96.38% / [[345, 4, 6], [10, 258, 1], [5, 3, 168]], * Val accuracy / confusion: 60.38% / [[173, 40, 17], [57, 97, 21], [24, 47, 44]] ------------------------------ Epoch 1325 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012467 - Iter 024 / 025, Loss: 0.027920 * Train accuracy / confusion: 97.62% / [[350, 5, 1], [6, 253, 4], [1, 2, 178]], * Val accuracy / confusion: 57.88% / [[168, 43, 19], [62, 99, 14], [25, 56, 34]] ------------------------------ Epoch 1326 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.044918 - Iter 024 / 025, Loss: 0.030004 * Train accuracy / confusion: 97.25% / [[351, 6, 1], [7, 256, 3], [2, 3, 171]], * Val accuracy / confusion: 59.81% / [[166, 44, 20], [52, 100, 23], [33, 37, 45]] ------------------------------ Epoch 1327 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.116662 - Iter 024 / 025, Loss: 0.213948 * Train accuracy / confusion: 97.25% / [[353, 2, 2], [9, 253, 1], [2, 6, 172]], * Val accuracy / confusion: 60.00% / [[162, 46, 22], [45, 108, 22], [27, 46, 42]] ------------------------------ Epoch 1328 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.057536 - Iter 024 / 025, Loss: 0.107740 * Train accuracy / confusion: 97.50% / [[354, 5, 0], [11, 253, 2], [1, 1, 173]], * Val accuracy / confusion: 60.00% / [[169, 36, 25], [62, 99, 14], [25, 46, 44]] ------------------------------ Epoch 1329 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011902 - Iter 024 / 025, Loss: 0.046349 * Train accuracy / confusion: 97.25% / [[346, 10, 1], [6, 260, 2], [1, 2, 172]], * Val accuracy / confusion: 57.69% / [[157, 42, 31], [51, 93, 31], [27, 38, 50]] ------------------------------ Epoch 1330 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.017203 - Iter 024 / 025, Loss: 0.059551 * Train accuracy / confusion: 96.25% / [[344, 11, 2], [9, 256, 4], [2, 2, 170]], * Val accuracy / confusion: 59.62% / [[160, 40, 30], [52, 101, 22], [22, 44, 49]] ------------------------------ Epoch 1331 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.235409 - Iter 024 / 025, Loss: 0.065381 * Train accuracy / confusion: 97.12% / [[351, 3, 1], [9, 254, 2], [4, 4, 172]], * Val accuracy / confusion: 57.12% / [[160, 42, 28], [51, 95, 29], [21, 52, 42]] ------------------------------ Epoch 1332 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010065 - Iter 024 / 025, Loss: 0.097113 * Train accuracy / confusion: 98.12% / [[351, 2, 0], [7, 261, 2], [2, 2, 173]], * Val accuracy / confusion: 59.23% / [[166, 42, 22], [57, 97, 21], [23, 47, 45]] ------------------------------ Epoch 1333 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.023166 - Iter 024 / 025, Loss: 0.145682 * Train accuracy / confusion: 97.75% / [[353, 4, 0], [7, 257, 2], [1, 4, 172]], * Val accuracy / confusion: 57.12% / [[158, 47, 25], [60, 95, 20], [20, 51, 44]] ------------------------------ Epoch 1334 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.103320 - Iter 024 / 025, Loss: 0.135618 * Train accuracy / confusion: 97.00% / [[351, 1, 3], [9, 258, 1], [2, 8, 167]], * Val accuracy / confusion: 58.46% / [[158, 44, 28], [55, 96, 24], [21, 44, 50]] ------------------------------ Epoch 1335 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.072069 - Iter 024 / 025, Loss: 0.022894 * Train accuracy / confusion: 96.38% / [[348, 5, 2], [13, 253, 6], [1, 2, 170]], * Val accuracy / confusion: 58.85% / [[164, 40, 26], [53, 97, 25], [22, 48, 45]] ------------------------------ Epoch 1336 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.057379 - Iter 024 / 025, Loss: 0.021263 * Train accuracy / confusion: 97.50% / [[351, 4, 2], [8, 256, 4], [2, 0, 173]], * Val accuracy / confusion: 57.31% / [[158, 42, 30], [62, 94, 19], [22, 47, 46]] ------------------------------ Epoch 1337 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.038665 - Iter 024 / 025, Loss: 0.043814 * Train accuracy / confusion: 97.25% / [[342, 8, 1], [8, 262, 1], [3, 1, 174]], * Val accuracy / confusion: 57.12% / [[155, 42, 33], [55, 96, 24], [23, 46, 46]] ------------------------------ Epoch 1338 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010403 - Iter 024 / 025, Loss: 0.246740 * Train accuracy / confusion: 97.12% / [[350, 4, 2], [4, 256, 5], [5, 3, 171]], * Val accuracy / confusion: 59.81% / [[164, 42, 24], [51, 97, 27], [24, 41, 50]] ------------------------------ Epoch 1339 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.131145 - Iter 024 / 025, Loss: 0.080923 * Train accuracy / confusion: 97.25% / [[356, 3, 3], [9, 251, 1], [4, 2, 171]], * Val accuracy / confusion: 57.88% / [[163, 43, 24], [58, 91, 26], [21, 47, 47]] ------------------------------ Epoch 1340 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.140186 - Iter 024 / 025, Loss: 0.055997 * Train accuracy / confusion: 97.50% / [[350, 7, 2], [6, 258, 3], [1, 1, 172]], * Val accuracy / confusion: 58.46% / [[162, 41, 27], [50, 98, 27], [25, 46, 44]] ------------------------------ Epoch 1341 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011179 - Iter 024 / 025, Loss: 0.011744 * Train accuracy / confusion: 97.75% / [[352, 4, 0], [8, 251, 4], [1, 1, 179]], * Val accuracy / confusion: 57.69% / [[162, 44, 24], [54, 92, 29], [23, 46, 46]] ------------------------------ Epoch 1342 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.129909 - Iter 024 / 025, Loss: 0.068722 * Train accuracy / confusion: 96.12% / [[345, 8, 2], [11, 259, 3], [4, 3, 165]], * Val accuracy / confusion: 58.65% / [[160, 41, 29], [54, 94, 27], [17, 47, 51]] ------------------------------ Epoch 1343 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.053289 - Iter 024 / 025, Loss: 0.096546 * Train accuracy / confusion: 96.62% / [[350, 7, 2], [9, 253, 3], [1, 5, 170]], * Val accuracy / confusion: 57.31% / [[168, 39, 23], [61, 92, 22], [38, 39, 38]] ------------------------------ Epoch 1344 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.109459 - Iter 024 / 025, Loss: 0.068247 * Train accuracy / confusion: 98.00% / [[353, 5, 1], [5, 255, 4], [1, 0, 176]], * Val accuracy / confusion: 58.27% / [[163, 47, 20], [59, 92, 24], [24, 43, 48]] ------------------------------ Epoch 1345 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.008036 - Iter 024 / 025, Loss: 0.057387 * Train accuracy / confusion: 97.75% / [[352, 1, 2], [9, 253, 3], [0, 3, 177]], * Val accuracy / confusion: 59.81% / [[167, 42, 21], [56, 100, 19], [23, 48, 44]] ------------------------------ Epoch 1346 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.026051 - Iter 024 / 025, Loss: 0.036120 * Train accuracy / confusion: 97.62% / [[353, 6, 2], [5, 257, 2], [1, 3, 171]], * Val accuracy / confusion: 57.31% / [[160, 46, 24], [56, 93, 26], [20, 50, 45]] ------------------------------ Epoch 1347 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.054342 - Iter 024 / 025, Loss: 0.122099 * Train accuracy / confusion: 97.50% / [[347, 6, 2], [6, 260, 2], [2, 2, 173]], * Val accuracy / confusion: 59.81% / [[159, 47, 24], [52, 103, 20], [28, 38, 49]] ------------------------------ Epoch 1348 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.123755 - Iter 024 / 025, Loss: 0.018120 * Train accuracy / confusion: 96.62% / [[347, 4, 6], [8, 258, 0], [6, 3, 168]], * Val accuracy / confusion: 57.88% / [[162, 41, 27], [55, 91, 29], [21, 46, 48]] ------------------------------ Epoch 1349 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.048832 - Iter 024 / 025, Loss: 0.048827 * Train accuracy / confusion: 97.50% / [[345, 9, 2], [6, 261, 1], [1, 1, 174]], * Val accuracy / confusion: 57.31% / [[164, 45, 21], [62, 90, 23], [26, 45, 44]] ------------------------------ Epoch 1350 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.062221 - Iter 024 / 025, Loss: 0.010358 * Train accuracy / confusion: 97.25% / [[342, 5, 5], [4, 265, 2], [3, 3, 171]], * Val accuracy / confusion: 57.88% / [[161, 45, 24], [53, 95, 27], [25, 45, 45]] ------------------------------ Epoch 1351 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.078980 - Iter 024 / 025, Loss: 0.024741 * Train accuracy / confusion: 98.00% / [[348, 5, 0], [4, 263, 5], [0, 2, 173]], * Val accuracy / confusion: 59.04% / [[160, 40, 30], [55, 98, 22], [25, 41, 49]] ------------------------------ Epoch 1352 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020948 - Iter 024 / 025, Loss: 0.013849 * Train accuracy / confusion: 97.00% / [[344, 5, 4], [6, 261, 4], [2, 3, 171]], * Val accuracy / confusion: 57.12% / [[162, 42, 26], [57, 89, 29], [24, 45, 46]] ------------------------------ Epoch 1353 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.244067 - Iter 024 / 025, Loss: 0.047781 * Train accuracy / confusion: 98.25% / [[349, 2, 2], [5, 264, 4], [1, 0, 173]], * Val accuracy / confusion: 58.46% / [[162, 49, 19], [64, 96, 15], [22, 47, 46]] ------------------------------ Epoch 1354 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.058119 - Iter 024 / 025, Loss: 0.032665 * Train accuracy / confusion: 97.12% / [[349, 5, 1], [12, 253, 3], [1, 1, 175]], * Val accuracy / confusion: 57.31% / [[164, 44, 22], [56, 91, 28], [25, 47, 43]] ------------------------------ Epoch 1355 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020523 - Iter 024 / 025, Loss: 0.067067 * Train accuracy / confusion: 97.75% / [[349, 5, 1], [8, 253, 2], [1, 1, 180]], * Val accuracy / confusion: 57.31% / [[159, 45, 26], [65, 95, 15], [23, 48, 44]] ------------------------------ Epoch 1356 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.100152 - Iter 024 / 025, Loss: 0.051999 * Train accuracy / confusion: 97.00% / [[346, 7, 4], [6, 259, 4], [1, 2, 171]], * Val accuracy / confusion: 58.46% / [[161, 47, 22], [54, 95, 26], [21, 46, 48]] ------------------------------ Epoch 1357 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.035403 - Iter 024 / 025, Loss: 0.095910 * Train accuracy / confusion: 97.12% / [[352, 9, 1], [6, 254, 4], [2, 1, 171]], * Val accuracy / confusion: 59.81% / [[161, 40, 29], [53, 100, 22], [23, 42, 50]] ------------------------------ Epoch 1358 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.056117 - Iter 024 / 025, Loss: 0.051803 * Train accuracy / confusion: 97.12% / [[347, 8, 1], [8, 255, 3], [1, 2, 175]], * Val accuracy / confusion: 57.50% / [[170, 38, 22], [58, 85, 32], [22, 49, 44]] ------------------------------ Epoch 1359 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012502 - Iter 024 / 025, Loss: 0.023516 * Train accuracy / confusion: 98.38% / [[353, 0, 1], [6, 257, 4], [2, 0, 177]], * Val accuracy / confusion: 61.15% / [[166, 40, 24], [54, 104, 17], [21, 46, 48]] ------------------------------ Epoch 1360 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.105532 - Iter 024 / 025, Loss: 0.106574 * Train accuracy / confusion: 96.62% / [[346, 7, 1], [13, 253, 1], [3, 2, 174]], * Val accuracy / confusion: 56.35% / [[158, 44, 28], [59, 89, 27], [23, 46, 46]] ------------------------------ Epoch 1361 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.041203 - Iter 024 / 025, Loss: 0.033879 * Train accuracy / confusion: 97.25% / [[348, 2, 7], [4, 257, 5], [3, 1, 173]], * Val accuracy / confusion: 59.04% / [[166, 47, 17], [55, 94, 26], [21, 47, 47]] ------------------------------ Epoch 1362 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.039998 - Iter 024 / 025, Loss: 0.010528 * Train accuracy / confusion: 97.38% / [[357, 3, 3], [11, 249, 1], [2, 1, 173]], * Val accuracy / confusion: 57.31% / [[155, 50, 25], [52, 98, 25], [18, 52, 45]] ------------------------------ Epoch 1363 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010475 - Iter 024 / 025, Loss: 0.124784 * Train accuracy / confusion: 95.75% / [[344, 5, 7], [15, 249, 2], [3, 2, 173]], * Val accuracy / confusion: 59.23% / [[160, 46, 24], [52, 104, 19], [19, 52, 44]] ------------------------------ Epoch 1364 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.050857 - Iter 024 / 025, Loss: 0.036454 * Train accuracy / confusion: 97.00% / [[352, 3, 1], [8, 255, 4], [4, 4, 169]], * Val accuracy / confusion: 59.42% / [[159, 50, 21], [47, 105, 23], [24, 46, 45]] ------------------------------ Epoch 1365 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.023384 - Iter 024 / 025, Loss: 0.383229 * Train accuracy / confusion: 96.88% / [[343, 9, 1], [8, 257, 1], [3, 3, 175]], * Val accuracy / confusion: 60.58% / [[163, 45, 22], [50, 105, 20], [20, 48, 47]] ------------------------------ Epoch 1366 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.025825 - Iter 024 / 025, Loss: 0.012825 * Train accuracy / confusion: 97.25% / [[353, 3, 3], [7, 257, 4], [3, 2, 168]], * Val accuracy / confusion: 57.69% / [[162, 43, 25], [61, 92, 22], [22, 47, 46]] ------------------------------ Epoch 1367 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.062896 - Iter 024 / 025, Loss: 0.052646 * Train accuracy / confusion: 97.12% / [[346, 5, 3], [9, 257, 3], [2, 1, 174]], * Val accuracy / confusion: 60.38% / [[166, 36, 28], [55, 93, 27], [23, 37, 55]] ------------------------------ Epoch 1368 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.105042 - Iter 024 / 025, Loss: 0.144523 * Train accuracy / confusion: 97.12% / [[346, 7, 2], [11, 257, 1], [1, 1, 174]], * Val accuracy / confusion: 58.65% / [[166, 43, 21], [54, 96, 25], [28, 44, 43]] ------------------------------ Epoch 1369 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018082 - Iter 024 / 025, Loss: 0.068536 * Train accuracy / confusion: 96.25% / [[347, 6, 0], [14, 250, 4], [4, 2, 173]], * Val accuracy / confusion: 59.04% / [[161, 46, 23], [53, 95, 27], [19, 45, 51]] ------------------------------ Epoch 1370 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018927 - Iter 024 / 025, Loss: 0.189979 * Train accuracy / confusion: 97.88% / [[349, 1, 3], [7, 259, 4], [0, 2, 175]], * Val accuracy / confusion: 59.04% / [[165, 46, 19], [54, 102, 19], [24, 51, 40]] ------------------------------ Epoch 1371 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.189344 - Iter 024 / 025, Loss: 0.016672 * Train accuracy / confusion: 97.12% / [[349, 5, 2], [10, 260, 1], [4, 1, 168]], * Val accuracy / confusion: 59.23% / [[162, 43, 25], [57, 102, 16], [20, 51, 44]] ------------------------------ Epoch 1372 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.068317 - Iter 024 / 025, Loss: 0.032703 * Train accuracy / confusion: 96.62% / [[348, 10, 2], [3, 257, 5], [4, 3, 168]], * Val accuracy / confusion: 59.62% / [[159, 54, 17], [51, 101, 23], [22, 43, 50]] ------------------------------ Epoch 1373 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.028247 - Iter 024 / 025, Loss: 0.021857 * Train accuracy / confusion: 97.75% / [[349, 6, 0], [5, 259, 4], [1, 2, 174]], * Val accuracy / confusion: 58.27% / [[161, 45, 24], [50, 101, 24], [21, 53, 41]] ------------------------------ Epoch 1374 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.074854 - Iter 024 / 025, Loss: 0.060993 * Train accuracy / confusion: 97.50% / [[349, 4, 3], [10, 255, 1], [1, 1, 176]], * Val accuracy / confusion: 58.85% / [[164, 44, 22], [54, 98, 23], [24, 47, 44]] ------------------------------ Epoch 1375 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012392 - Iter 024 / 025, Loss: 0.157094 * Train accuracy / confusion: 97.12% / [[350, 2, 2], [13, 253, 2], [3, 1, 174]], * Val accuracy / confusion: 59.23% / [[160, 49, 21], [56, 101, 18], [17, 51, 47]] ------------------------------ Epoch 1376 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.040280 - Iter 024 / 025, Loss: 0.263053 * Train accuracy / confusion: 96.88% / [[347, 7, 0], [10, 255, 0], [4, 4, 173]], * Val accuracy / confusion: 59.04% / [[168, 44, 18], [62, 94, 19], [21, 49, 45]] ------------------------------ Epoch 1377 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.030585 - Iter 024 / 025, Loss: 0.050987 * Train accuracy / confusion: 97.50% / [[354, 4, 3], [6, 258, 1], [2, 4, 168]], * Val accuracy / confusion: 59.42% / [[168, 43, 19], [57, 97, 21], [23, 48, 44]] ------------------------------ Epoch 1378 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.076522 - Iter 024 / 025, Loss: 0.061638 * Train accuracy / confusion: 96.75% / [[345, 6, 3], [9, 257, 1], [2, 5, 172]], * Val accuracy / confusion: 56.73% / [[159, 47, 24], [52, 92, 31], [29, 42, 44]] ------------------------------ Epoch 1379 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.104361 - Iter 024 / 025, Loss: 0.088691 * Train accuracy / confusion: 97.25% / [[355, 2, 3], [10, 259, 1], [0, 6, 164]], * Val accuracy / confusion: 60.96% / [[168, 40, 22], [59, 98, 18], [21, 43, 51]] ------------------------------ Epoch 1380 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.265029 - Iter 024 / 025, Loss: 0.030821 * Train accuracy / confusion: 97.75% / [[345, 5, 1], [8, 263, 1], [2, 1, 174]], * Val accuracy / confusion: 58.65% / [[163, 42, 25], [60, 96, 19], [24, 45, 46]] ------------------------------ Epoch 1381 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.048223 - Iter 024 / 025, Loss: 0.009327 * Train accuracy / confusion: 96.12% / [[344, 12, 0], [6, 253, 6], [3, 4, 172]], * Val accuracy / confusion: 58.85% / [[157, 50, 23], [49, 103, 23], [18, 51, 46]] ------------------------------ Epoch 1382 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.284227 - Iter 024 / 025, Loss: 0.089374 * Train accuracy / confusion: 96.12% / [[347, 10, 1], [10, 254, 2], [2, 6, 168]], * Val accuracy / confusion: 57.88% / [[158, 48, 24], [55, 100, 20], [19, 53, 43]] ------------------------------ Epoch 1383 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.087521 - Iter 024 / 025, Loss: 0.022416 * Train accuracy / confusion: 97.25% / [[349, 8, 1], [9, 257, 4], [0, 0, 172]], * Val accuracy / confusion: 58.27% / [[161, 43, 26], [62, 93, 20], [19, 47, 49]] ------------------------------ Epoch 1384 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.060511 - Iter 024 / 025, Loss: 0.053763 * Train accuracy / confusion: 97.12% / [[347, 9, 2], [8, 254, 1], [1, 2, 176]], * Val accuracy / confusion: 58.85% / [[165, 33, 32], [50, 95, 30], [23, 46, 46]] ------------------------------ Epoch 1385 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016185 - Iter 024 / 025, Loss: 0.106234 * Train accuracy / confusion: 96.75% / [[344, 3, 7], [8, 257, 2], [2, 4, 173]], * Val accuracy / confusion: 58.08% / [[158, 43, 29], [54, 94, 27], [23, 42, 50]] ------------------------------ Epoch 1386 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.128715 - Iter 024 / 025, Loss: 0.267567 * Train accuracy / confusion: 96.25% / [[344, 10, 4], [10, 255, 1], [1, 4, 171]], * Val accuracy / confusion: 59.23% / [[165, 45, 20], [57, 101, 17], [25, 48, 42]] ------------------------------ Epoch 1387 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.038709 - Iter 024 / 025, Loss: 0.066934 * Train accuracy / confusion: 98.25% / [[349, 4, 1], [6, 259, 2], [0, 1, 178]], * Val accuracy / confusion: 58.08% / [[164, 43, 23], [56, 93, 26], [22, 48, 45]] ------------------------------ Epoch 1388 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.023879 - Iter 024 / 025, Loss: 0.046023 * Train accuracy / confusion: 97.38% / [[351, 5, 1], [8, 256, 5], [0, 2, 172]], * Val accuracy / confusion: 57.31% / [[163, 41, 26], [64, 93, 18], [28, 45, 42]] ------------------------------ Epoch 1389 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.035516 - Iter 024 / 025, Loss: 0.158062 * Train accuracy / confusion: 97.75% / [[347, 7, 2], [4, 263, 1], [2, 2, 172]], * Val accuracy / confusion: 55.96% / [[155, 51, 24], [55, 96, 24], [21, 54, 40]] ------------------------------ Epoch 1390 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.156555 - Iter 024 / 025, Loss: 0.070718 * Train accuracy / confusion: 97.62% / [[357, 3, 0], [8, 262, 1], [4, 3, 162]], * Val accuracy / confusion: 60.38% / [[160, 42, 28], [43, 104, 28], [23, 42, 50]] ------------------------------ Epoch 1391 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.034838 - Iter 024 / 025, Loss: 0.042478 * Train accuracy / confusion: 97.25% / [[351, 5, 0], [8, 258, 3], [4, 2, 169]], * Val accuracy / confusion: 58.46% / [[162, 39, 29], [56, 92, 27], [21, 44, 50]] ------------------------------ Epoch 1392 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.156328 - Iter 024 / 025, Loss: 0.084354 * Train accuracy / confusion: 97.62% / [[348, 3, 3], [8, 258, 2], [2, 1, 175]], * Val accuracy / confusion: 58.85% / [[162, 48, 20], [57, 94, 24], [20, 45, 50]] ------------------------------ Epoch 1393 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.032870 - Iter 024 / 025, Loss: 0.244804 * Train accuracy / confusion: 96.12% / [[348, 11, 1], [10, 248, 3], [2, 4, 173]], * Val accuracy / confusion: 58.27% / [[157, 48, 25], [62, 98, 15], [20, 47, 48]] ------------------------------ Epoch 1394 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.037935 - Iter 024 / 025, Loss: 0.023158 * Train accuracy / confusion: 96.62% / [[351, 7, 2], [13, 249, 2], [2, 1, 173]], * Val accuracy / confusion: 58.46% / [[164, 40, 26], [53, 99, 23], [28, 46, 41]] ------------------------------ Epoch 1395 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.035998 - Iter 024 / 025, Loss: 0.060039 * Train accuracy / confusion: 97.38% / [[351, 3, 2], [7, 261, 4], [3, 2, 167]], * Val accuracy / confusion: 58.65% / [[166, 45, 19], [56, 95, 24], [22, 49, 44]] ------------------------------ Epoch 1396 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.054564 - Iter 024 / 025, Loss: 0.055249 * Train accuracy / confusion: 97.12% / [[351, 2, 1], [12, 249, 5], [0, 3, 177]], * Val accuracy / confusion: 58.27% / [[157, 44, 29], [49, 103, 23], [29, 43, 43]] ------------------------------ Epoch 1397 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.046710 - Iter 024 / 025, Loss: 0.022649 * Train accuracy / confusion: 96.75% / [[354, 3, 5], [11, 251, 3], [1, 3, 169]], * Val accuracy / confusion: 60.96% / [[166, 45, 19], [52, 102, 21], [25, 41, 49]] ------------------------------ Epoch 1398 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.188113 - Iter 024 / 025, Loss: 0.022007 * Train accuracy / confusion: 98.12% / [[347, 6, 0], [4, 267, 0], [2, 3, 171]], * Val accuracy / confusion: 58.85% / [[162, 41, 27], [56, 96, 23], [22, 45, 48]] ------------------------------ Epoch 1399 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.132745 - Iter 024 / 025, Loss: 0.069047 * Train accuracy / confusion: 97.38% / [[345, 9, 1], [9, 258, 1], [1, 0, 176]], * Val accuracy / confusion: 61.15% / [[166, 42, 22], [59, 103, 13], [21, 45, 49]] ------------------------------ Epoch 1400 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.036589 - Iter 024 / 025, Loss: 0.154291 * Train accuracy / confusion: 98.00% / [[349, 3, 2], [6, 265, 1], [3, 1, 170]], * Val accuracy / confusion: 55.19% / [[156, 47, 27], [53, 86, 36], [20, 50, 45]] ------------------------------ Epoch 1401 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.035038 - Iter 024 / 025, Loss: 0.122147 * Train accuracy / confusion: 97.00% / [[350, 9, 2], [9, 256, 1], [1, 2, 170]], * Val accuracy / confusion: 60.77% / [[170, 35, 25], [60, 92, 23], [22, 39, 54]] ------------------------------ Epoch 1402 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011535 - Iter 024 / 025, Loss: 0.025376 * Train accuracy / confusion: 97.62% / [[350, 5, 1], [9, 254, 1], [1, 2, 177]], * Val accuracy / confusion: 59.81% / [[163, 45, 22], [49, 109, 17], [21, 55, 39]] ------------------------------ Epoch 1403 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.052888 - Iter 024 / 025, Loss: 0.091362 * Train accuracy / confusion: 96.62% / [[346, 7, 2], [5, 258, 7], [4, 2, 169]], * Val accuracy / confusion: 56.15% / [[165, 46, 19], [69, 86, 20], [26, 48, 41]] ------------------------------ Epoch 1404 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.104019 - Iter 024 / 025, Loss: 0.026401 * Train accuracy / confusion: 97.88% / [[349, 5, 1], [9, 258, 1], [1, 0, 176]], * Val accuracy / confusion: 61.73% / [[173, 38, 19], [59, 100, 16], [24, 43, 48]] ------------------------------ Epoch 1405 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.049423 - Iter 024 / 025, Loss: 0.146686 * Train accuracy / confusion: 98.00% / [[349, 4, 0], [8, 260, 1], [0, 3, 175]], * Val accuracy / confusion: 56.73% / [[155, 58, 17], [55, 101, 19], [26, 50, 39]] ------------------------------ Epoch 1406 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.042798 - Iter 024 / 025, Loss: 0.052765 * Train accuracy / confusion: 97.62% / [[353, 6, 3], [6, 257, 3], [1, 0, 171]], * Val accuracy / confusion: 55.77% / [[157, 53, 20], [53, 91, 31], [21, 52, 42]] ------------------------------ Epoch 1407 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.092649 - Iter 024 / 025, Loss: 0.046217 * Train accuracy / confusion: 95.75% / [[339, 8, 3], [9, 256, 6], [4, 4, 171]], * Val accuracy / confusion: 60.38% / [[164, 45, 21], [51, 98, 26], [28, 35, 52]] ------------------------------ Epoch 1408 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.022150 - Iter 024 / 025, Loss: 0.016528 * Train accuracy / confusion: 98.12% / [[356, 4, 0], [6, 257, 1], [3, 1, 172]], * Val accuracy / confusion: 58.46% / [[173, 40, 17], [55, 88, 32], [28, 44, 43]] ------------------------------ Epoch 1409 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.051328 - Iter 024 / 025, Loss: 0.019842 * Train accuracy / confusion: 97.50% / [[355, 3, 3], [5, 252, 4], [2, 3, 173]], * Val accuracy / confusion: 57.69% / [[154, 51, 25], [47, 104, 24], [24, 49, 42]] ------------------------------ Epoch 1410 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.106846 - Iter 024 / 025, Loss: 0.024185 * Train accuracy / confusion: 97.25% / [[347, 9, 0], [4, 258, 3], [4, 2, 173]], * Val accuracy / confusion: 58.27% / [[160, 41, 29], [51, 96, 28], [23, 45, 47]] ------------------------------ Epoch 1411 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.021821 - Iter 024 / 025, Loss: 0.086159 * Train accuracy / confusion: 97.62% / [[349, 3, 3], [7, 261, 1], [2, 3, 171]], * Val accuracy / confusion: 61.54% / [[170, 45, 15], [52, 103, 20], [20, 48, 47]] ------------------------------ Epoch 1412 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.056830 - Iter 024 / 025, Loss: 0.039422 * Train accuracy / confusion: 96.88% / [[349, 8, 0], [10, 252, 4], [1, 2, 174]], * Val accuracy / confusion: 59.04% / [[157, 45, 28], [45, 107, 23], [24, 48, 43]] ------------------------------ Epoch 1413 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.017908 - Iter 024 / 025, Loss: 0.056410 * Train accuracy / confusion: 97.25% / [[346, 5, 1], [8, 258, 3], [1, 4, 174]], * Val accuracy / confusion: 57.69% / [[163, 42, 25], [48, 96, 31], [22, 52, 41]] ------------------------------ Epoch 1414 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.176719 - Iter 024 / 025, Loss: 0.096046 * Train accuracy / confusion: 97.00% / [[352, 5, 2], [7, 258, 3], [1, 6, 166]], * Val accuracy / confusion: 57.50% / [[160, 43, 27], [61, 92, 22], [26, 42, 47]] ------------------------------ Epoch 1415 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.090231 - Iter 024 / 025, Loss: 0.173278 * Train accuracy / confusion: 96.50% / [[350, 3, 3], [12, 253, 3], [4, 3, 169]], * Val accuracy / confusion: 57.88% / [[168, 36, 26], [59, 95, 21], [28, 49, 38]] ------------------------------ Epoch 1416 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.094622 - Iter 024 / 025, Loss: 0.048159 * Train accuracy / confusion: 97.62% / [[348, 6, 1], [9, 256, 1], [0, 2, 177]], * Val accuracy / confusion: 61.35% / [[170, 41, 19], [47, 105, 23], [21, 50, 44]] ------------------------------ Epoch 1417 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.058953 - Iter 024 / 025, Loss: 0.018716 * Train accuracy / confusion: 97.38% / [[350, 6, 2], [6, 261, 2], [1, 4, 168]], * Val accuracy / confusion: 59.81% / [[166, 42, 22], [58, 101, 16], [22, 49, 44]] ------------------------------ Epoch 1418 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.113341 - Iter 024 / 025, Loss: 0.008558 * Train accuracy / confusion: 97.25% / [[353, 3, 0], [10, 256, 2], [3, 4, 169]], * Val accuracy / confusion: 60.19% / [[161, 45, 24], [47, 108, 20], [27, 44, 44]] ------------------------------ Epoch 1419 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.142579 - Iter 024 / 025, Loss: 0.117594 * Train accuracy / confusion: 96.38% / [[344, 13, 2], [9, 255, 3], [1, 1, 172]], * Val accuracy / confusion: 58.27% / [[163, 41, 26], [54, 97, 24], [22, 50, 43]] ------------------------------ Epoch 1420 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.063492 - Iter 024 / 025, Loss: 0.262156 * Train accuracy / confusion: 96.38% / [[346, 12, 1], [5, 256, 6], [1, 4, 169]], * Val accuracy / confusion: 59.81% / [[161, 47, 22], [50, 104, 21], [22, 47, 46]] ------------------------------ Epoch 1421 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.067394 - Iter 024 / 025, Loss: 0.217397 * Train accuracy / confusion: 97.88% / [[356, 1, 1], [11, 257, 1], [1, 2, 170]], * Val accuracy / confusion: 59.62% / [[165, 43, 22], [52, 101, 22], [21, 50, 44]] ------------------------------ Epoch 1422 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.166987 - Iter 024 / 025, Loss: 0.045529 * Train accuracy / confusion: 96.88% / [[347, 7, 3], [13, 257, 1], [0, 1, 171]], * Val accuracy / confusion: 57.88% / [[162, 47, 21], [52, 96, 27], [27, 45, 43]] ------------------------------ Epoch 1423 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.042435 - Iter 024 / 025, Loss: 0.053282 * Train accuracy / confusion: 97.25% / [[352, 1, 6], [8, 255, 3], [1, 3, 171]], * Val accuracy / confusion: 59.62% / [[163, 40, 27], [50, 98, 27], [19, 47, 49]] ------------------------------ Epoch 1424 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.028312 - Iter 024 / 025, Loss: 0.011578 * Train accuracy / confusion: 97.75% / [[346, 8, 2], [6, 264, 0], [2, 0, 172]], * Val accuracy / confusion: 54.42% / [[165, 40, 25], [61, 82, 32], [32, 47, 36]] ------------------------------ Epoch 1425 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.183457 - Iter 024 / 025, Loss: 0.036955 * Train accuracy / confusion: 96.75% / [[348, 5, 2], [11, 253, 3], [2, 3, 173]], * Val accuracy / confusion: 57.12% / [[161, 42, 27], [60, 97, 18], [27, 49, 39]] ------------------------------ Epoch 1426 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.079832 - Iter 024 / 025, Loss: 0.072673 * Train accuracy / confusion: 96.88% / [[354, 5, 3], [14, 248, 2], [0, 1, 173]], * Val accuracy / confusion: 59.42% / [[164, 45, 21], [58, 97, 20], [29, 38, 48]] ------------------------------ Epoch 1427 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020710 - Iter 024 / 025, Loss: 0.066136 * Train accuracy / confusion: 97.38% / [[351, 2, 3], [7, 254, 2], [4, 3, 174]], * Val accuracy / confusion: 56.92% / [[157, 48, 25], [52, 100, 23], [22, 54, 39]] ------------------------------ Epoch 1428 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.075484 - Iter 024 / 025, Loss: 0.213311 * Train accuracy / confusion: 97.25% / [[351, 2, 2], [11, 254, 3], [4, 0, 173]], * Val accuracy / confusion: 59.04% / [[165, 42, 23], [56, 96, 23], [23, 46, 46]] ------------------------------ Epoch 1429 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.268724 - Iter 024 / 025, Loss: 0.031379 * Train accuracy / confusion: 96.62% / [[351, 3, 2], [11, 253, 2], [4, 5, 169]], * Val accuracy / confusion: 57.69% / [[170, 41, 19], [61, 87, 27], [26, 46, 43]] ------------------------------ Epoch 1430 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.092413 - Iter 024 / 025, Loss: 0.038633 * Train accuracy / confusion: 96.50% / [[345, 11, 2], [11, 254, 1], [2, 1, 173]], * Val accuracy / confusion: 58.85% / [[158, 50, 22], [45, 107, 23], [19, 55, 41]] ------------------------------ Epoch 1431 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.046535 - Iter 024 / 025, Loss: 0.049017 * Train accuracy / confusion: 96.62% / [[352, 7, 1], [11, 250, 3], [4, 1, 171]], * Val accuracy / confusion: 56.54% / [[164, 42, 24], [52, 95, 28], [24, 56, 35]] ------------------------------ Epoch 1432 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.120195 - Iter 024 / 025, Loss: 0.085588 * Train accuracy / confusion: 97.62% / [[347, 1, 2], [7, 266, 0], [3, 6, 168]], * Val accuracy / confusion: 59.23% / [[168, 40, 22], [50, 99, 26], [26, 48, 41]] ------------------------------ Epoch 1433 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.073400 - Iter 024 / 025, Loss: 0.126263 * Train accuracy / confusion: 97.12% / [[344, 9, 2], [8, 260, 1], [1, 2, 173]], * Val accuracy / confusion: 60.77% / [[167, 43, 20], [55, 102, 18], [19, 49, 47]] ------------------------------ Epoch 1434 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.019887 - Iter 024 / 025, Loss: 0.044241 * Train accuracy / confusion: 98.50% / [[351, 1, 1], [7, 260, 1], [1, 1, 177]], * Val accuracy / confusion: 61.35% / [[172, 38, 20], [58, 100, 17], [23, 45, 47]] ------------------------------ Epoch 1435 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020190 - Iter 024 / 025, Loss: 0.341522 * Train accuracy / confusion: 96.88% / [[348, 2, 4], [7, 260, 4], [2, 6, 167]], * Val accuracy / confusion: 57.31% / [[155, 51, 24], [60, 91, 24], [20, 43, 52]] ------------------------------ Epoch 1436 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.037681 - Iter 024 / 025, Loss: 0.087470 * Train accuracy / confusion: 97.50% / [[354, 4, 1], [8, 256, 2], [3, 2, 170]], * Val accuracy / confusion: 60.00% / [[164, 41, 25], [48, 103, 24], [21, 49, 45]] ------------------------------ Epoch 1437 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.085844 - Iter 024 / 025, Loss: 0.156256 * Train accuracy / confusion: 97.12% / [[349, 2, 3], [9, 260, 3], [1, 5, 168]], * Val accuracy / confusion: 58.65% / [[164, 45, 21], [58, 100, 17], [26, 48, 41]] ------------------------------ Epoch 1438 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.273642 - Iter 024 / 025, Loss: 0.023903 * Train accuracy / confusion: 97.38% / [[348, 4, 4], [8, 260, 1], [1, 3, 171]], * Val accuracy / confusion: 60.96% / [[173, 39, 18], [52, 102, 21], [24, 49, 42]] ------------------------------ Epoch 1439 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.079011 - Iter 024 / 025, Loss: 0.113873 * Train accuracy / confusion: 96.62% / [[348, 5, 3], [12, 255, 5], [2, 0, 170]], * Val accuracy / confusion: 60.58% / [[166, 38, 26], [52, 99, 24], [18, 47, 50]] ------------------------------ Epoch 1440 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.180254 - Iter 024 / 025, Loss: 0.108633 * Train accuracy / confusion: 97.25% / [[352, 6, 1], [7, 257, 4], [1, 3, 169]], * Val accuracy / confusion: 57.88% / [[165, 36, 29], [59, 87, 29], [25, 41, 49]] ------------------------------ Epoch 1441 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.019788 - Iter 024 / 025, Loss: 0.062240 * Train accuracy / confusion: 97.25% / [[349, 4, 2], [6, 261, 3], [2, 5, 168]], * Val accuracy / confusion: 60.96% / [[170, 31, 29], [56, 94, 25], [25, 37, 53]] ------------------------------ Epoch 1442 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.137607 - Iter 024 / 025, Loss: 0.047773 * Train accuracy / confusion: 97.50% / [[347, 4, 2], [10, 259, 0], [1, 3, 174]], * Val accuracy / confusion: 58.85% / [[167, 38, 25], [55, 96, 24], [24, 48, 43]] ------------------------------ Epoch 1443 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.115720 - Iter 024 / 025, Loss: 0.076311 * Train accuracy / confusion: 97.25% / [[348, 5, 3], [7, 259, 2], [1, 4, 171]], * Val accuracy / confusion: 62.12% / [[168, 45, 17], [50, 103, 22], [21, 42, 52]] ------------------------------ Epoch 1444 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018565 - Iter 024 / 025, Loss: 0.041975 * Train accuracy / confusion: 98.25% / [[355, 3, 1], [6, 255, 1], [2, 1, 176]], * Val accuracy / confusion: 61.54% / [[164, 41, 25], [51, 103, 21], [24, 38, 53]] ------------------------------ Epoch 1445 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.021804 - Iter 024 / 025, Loss: 0.117169 * Train accuracy / confusion: 96.75% / [[349, 7, 1], [10, 255, 2], [0, 6, 170]], * Val accuracy / confusion: 60.77% / [[168, 43, 19], [54, 97, 24], [22, 42, 51]] ------------------------------ Epoch 1446 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.066963 - Iter 024 / 025, Loss: 0.112059 * Train accuracy / confusion: 97.00% / [[345, 3, 1], [11, 260, 2], [2, 5, 171]], * Val accuracy / confusion: 58.65% / [[160, 45, 25], [56, 99, 20], [19, 50, 46]] ------------------------------ Epoch 1447 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.115555 - Iter 024 / 025, Loss: 0.138125 * Train accuracy / confusion: 96.88% / [[348, 6, 3], [8, 252, 3], [3, 2, 175]], * Val accuracy / confusion: 57.88% / [[166, 41, 23], [57, 92, 26], [30, 42, 43]] ------------------------------ Epoch 1448 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.137717 - Iter 024 / 025, Loss: 0.067823 * Train accuracy / confusion: 97.50% / [[350, 2, 0], [14, 253, 2], [2, 0, 177]], * Val accuracy / confusion: 59.23% / [[168, 39, 23], [60, 93, 22], [18, 50, 47]] ------------------------------ Epoch 1449 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.019635 - Iter 024 / 025, Loss: 0.041383 * Train accuracy / confusion: 96.50% / [[348, 7, 3], [10, 254, 4], [1, 3, 170]], * Val accuracy / confusion: 59.04% / [[164, 40, 26], [52, 100, 23], [24, 48, 43]] ------------------------------ Epoch 1450 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.319496 - Iter 024 / 025, Loss: 0.023803 * Train accuracy / confusion: 96.62% / [[347, 8, 1], [9, 259, 1], [2, 6, 167]], * Val accuracy / confusion: 57.69% / [[157, 46, 27], [50, 101, 24], [21, 52, 42]] ------------------------------ Epoch 1451 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.085787 - Iter 024 / 025, Loss: 0.045187 * Train accuracy / confusion: 98.00% / [[356, 1, 2], [6, 260, 3], [1, 3, 168]], * Val accuracy / confusion: 56.73% / [[161, 45, 24], [52, 89, 34], [22, 48, 45]] ------------------------------ Epoch 1452 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.039493 - Iter 024 / 025, Loss: 0.092177 * Train accuracy / confusion: 97.00% / [[349, 5, 0], [12, 254, 5], [1, 1, 173]], * Val accuracy / confusion: 58.46% / [[165, 40, 25], [59, 93, 23], [27, 42, 46]] ------------------------------ Epoch 1453 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.017377 - Iter 024 / 025, Loss: 0.207240 * Train accuracy / confusion: 96.88% / [[348, 9, 0], [9, 255, 3], [2, 2, 172]], * Val accuracy / confusion: 59.81% / [[161, 40, 29], [51, 104, 20], [18, 51, 46]] ------------------------------ Epoch 1454 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.155040 - Iter 024 / 025, Loss: 0.112181 * Train accuracy / confusion: 96.38% / [[347, 7, 3], [10, 255, 5], [3, 1, 169]], * Val accuracy / confusion: 58.08% / [[165, 43, 22], [53, 92, 30], [21, 49, 45]] ------------------------------ Epoch 1455 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.027732 - Iter 024 / 025, Loss: 0.023598 * Train accuracy / confusion: 97.00% / [[345, 8, 3], [8, 259, 1], [2, 2, 172]], * Val accuracy / confusion: 57.50% / [[165, 38, 27], [58, 92, 25], [27, 46, 42]] ------------------------------ Epoch 1456 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.143227 - Iter 024 / 025, Loss: 0.161211 * Train accuracy / confusion: 96.38% / [[346, 8, 2], [13, 256, 2], [3, 1, 169]], * Val accuracy / confusion: 61.15% / [[170, 35, 25], [52, 100, 23], [23, 44, 48]] ------------------------------ Epoch 1457 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012553 - Iter 024 / 025, Loss: 0.119355 * Train accuracy / confusion: 98.12% / [[356, 1, 1], [8, 260, 1], [1, 3, 169]], * Val accuracy / confusion: 59.23% / [[169, 44, 17], [59, 92, 24], [24, 44, 47]] ------------------------------ Epoch 1458 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.095423 - Iter 024 / 025, Loss: 0.064846 * Train accuracy / confusion: 97.38% / [[346, 8, 1], [8, 258, 2], [1, 1, 175]], * Val accuracy / confusion: 60.19% / [[171, 39, 20], [51, 102, 22], [21, 54, 40]] ------------------------------ Epoch 1459 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.065148 - Iter 024 / 025, Loss: 0.043549 * Train accuracy / confusion: 97.75% / [[344, 5, 2], [5, 266, 1], [2, 3, 172]], * Val accuracy / confusion: 59.23% / [[147, 60, 23], [43, 111, 21], [21, 44, 50]] ------------------------------ Epoch 1460 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.089995 - Iter 024 / 025, Loss: 0.015662 * Train accuracy / confusion: 97.88% / [[350, 3, 3], [6, 260, 0], [2, 3, 173]], * Val accuracy / confusion: 59.62% / [[166, 44, 20], [53, 99, 23], [20, 50, 45]] ------------------------------ Epoch 1461 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.025546 - Iter 024 / 025, Loss: 0.116506 * Train accuracy / confusion: 96.75% / [[352, 6, 1], [12, 252, 2], [1, 4, 170]], * Val accuracy / confusion: 59.42% / [[170, 36, 24], [53, 92, 30], [21, 47, 47]] ------------------------------ Epoch 1462 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.095101 - Iter 024 / 025, Loss: 0.008426 * Train accuracy / confusion: 97.25% / [[349, 9, 1], [6, 262, 1], [2, 3, 167]], * Val accuracy / confusion: 60.38% / [[159, 51, 20], [42, 107, 26], [20, 47, 48]] ------------------------------ Epoch 1463 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.067586 - Iter 024 / 025, Loss: 0.012498 * Train accuracy / confusion: 97.50% / [[353, 2, 2], [8, 258, 1], [5, 2, 169]], * Val accuracy / confusion: 58.65% / [[156, 47, 27], [45, 104, 26], [23, 47, 45]] ------------------------------ Epoch 1464 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.170535 - Iter 024 / 025, Loss: 0.149127 * Train accuracy / confusion: 97.25% / [[349, 4, 1], [10, 260, 1], [4, 2, 169]], * Val accuracy / confusion: 60.19% / [[161, 48, 21], [56, 103, 16], [23, 43, 49]] ------------------------------ Epoch 1465 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.054377 - Iter 024 / 025, Loss: 0.033666 * Train accuracy / confusion: 96.88% / [[351, 6, 1], [13, 254, 4], [1, 0, 170]], * Val accuracy / confusion: 58.85% / [[163, 41, 26], [51, 95, 29], [22, 45, 48]] ------------------------------ Epoch 1466 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.107899 - Iter 024 / 025, Loss: 0.085296 * Train accuracy / confusion: 95.62% / [[344, 11, 4], [13, 248, 4], [0, 3, 173]], * Val accuracy / confusion: 60.00% / [[163, 45, 22], [45, 102, 28], [24, 44, 47]] ------------------------------ Epoch 1467 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.030327 - Iter 024 / 025, Loss: 0.032858 * Train accuracy / confusion: 97.25% / [[355, 3, 1], [9, 254, 6], [1, 2, 169]], * Val accuracy / confusion: 58.46% / [[160, 47, 23], [51, 98, 26], [21, 48, 46]] ------------------------------ Epoch 1468 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.031850 - Iter 024 / 025, Loss: 0.089919 * Train accuracy / confusion: 97.62% / [[351, 3, 0], [9, 255, 2], [3, 2, 175]], * Val accuracy / confusion: 57.88% / [[159, 44, 27], [55, 93, 27], [18, 48, 49]] ------------------------------ Epoch 1469 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.325398 - Iter 024 / 025, Loss: 0.057925 * Train accuracy / confusion: 97.00% / [[351, 4, 3], [8, 252, 7], [1, 1, 173]], * Val accuracy / confusion: 58.08% / [[161, 41, 28], [50, 96, 29], [22, 48, 45]] ------------------------------ Epoch 1470 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.206533 - Iter 024 / 025, Loss: 0.256252 * Train accuracy / confusion: 95.88% / [[340, 13, 2], [8, 261, 2], [7, 1, 166]], * Val accuracy / confusion: 58.08% / [[166, 43, 21], [54, 93, 28], [23, 49, 43]] ------------------------------ Epoch 1471 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.055383 - Iter 024 / 025, Loss: 0.011792 * Train accuracy / confusion: 97.62% / [[353, 5, 1], [8, 257, 1], [2, 2, 171]], * Val accuracy / confusion: 58.27% / [[162, 49, 19], [49, 97, 29], [19, 52, 44]] ------------------------------ Epoch 1472 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.092075 - Iter 024 / 025, Loss: 0.154117 * Train accuracy / confusion: 96.62% / [[348, 6, 2], [11, 260, 1], [3, 4, 165]], * Val accuracy / confusion: 59.81% / [[167, 35, 28], [59, 92, 24], [20, 43, 52]] ------------------------------ Epoch 1473 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.039385 - Iter 024 / 025, Loss: 0.033114 * Train accuracy / confusion: 96.62% / [[357, 5, 0], [9, 248, 6], [3, 4, 168]], * Val accuracy / confusion: 58.85% / [[163, 44, 23], [61, 93, 21], [22, 43, 50]] ------------------------------ Epoch 1474 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.028222 - Iter 024 / 025, Loss: 0.033677 * Train accuracy / confusion: 96.88% / [[350, 7, 0], [9, 253, 3], [3, 3, 172]], * Val accuracy / confusion: 55.58% / [[159, 46, 25], [61, 83, 31], [29, 39, 47]] ------------------------------ Epoch 1475 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011016 - Iter 024 / 025, Loss: 0.037083 * Train accuracy / confusion: 95.88% / [[343, 5, 4], [13, 256, 4], [5, 2, 168]], * Val accuracy / confusion: 58.27% / [[164, 42, 24], [55, 89, 31], [21, 44, 50]] ------------------------------ Epoch 1476 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.106070 - Iter 024 / 025, Loss: 0.017380 * Train accuracy / confusion: 96.25% / [[348, 5, 2], [11, 253, 3], [4, 5, 169]], * Val accuracy / confusion: 62.50% / [[161, 47, 22], [40, 111, 24], [20, 42, 53]] ------------------------------ Epoch 1477 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.022557 - Iter 024 / 025, Loss: 0.048419 * Train accuracy / confusion: 97.50% / [[350, 4, 2], [8, 255, 2], [1, 3, 175]], * Val accuracy / confusion: 57.88% / [[158, 44, 28], [52, 96, 27], [22, 46, 47]] ------------------------------ Epoch 1478 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012339 - Iter 024 / 025, Loss: 0.033779 * Train accuracy / confusion: 96.88% / [[345, 7, 1], [10, 258, 0], [5, 2, 172]], * Val accuracy / confusion: 56.15% / [[161, 48, 21], [59, 87, 29], [22, 49, 44]] ------------------------------ Epoch 1479 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.066837 - Iter 024 / 025, Loss: 0.034977 * Train accuracy / confusion: 97.62% / [[343, 7, 3], [6, 266, 2], [1, 0, 172]], * Val accuracy / confusion: 59.04% / [[168, 33, 29], [58, 89, 28], [23, 42, 50]] ------------------------------ Epoch 1480 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.037033 - Iter 024 / 025, Loss: 0.116771 * Train accuracy / confusion: 96.88% / [[347, 4, 1], [9, 257, 5], [3, 3, 171]], * Val accuracy / confusion: 56.92% / [[154, 46, 30], [65, 92, 18], [25, 40, 50]] ------------------------------ Epoch 1481 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024906 - Iter 024 / 025, Loss: 0.019316 * Train accuracy / confusion: 96.75% / [[350, 4, 2], [10, 254, 5], [2, 3, 170]], * Val accuracy / confusion: 59.04% / [[171, 32, 27], [57, 90, 28], [24, 45, 46]] ------------------------------ Epoch 1482 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.425646 - Iter 024 / 025, Loss: 0.055101 * Train accuracy / confusion: 97.75% / [[354, 4, 3], [6, 258, 3], [0, 2, 170]], * Val accuracy / confusion: 60.00% / [[169, 38, 23], [53, 95, 27], [19, 48, 48]] ------------------------------ Epoch 1483 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.067838 - Iter 024 / 025, Loss: 0.095457 * Train accuracy / confusion: 97.62% / [[352, 4, 2], [8, 256, 2], [0, 3, 173]], * Val accuracy / confusion: 57.12% / [[155, 48, 27], [49, 100, 26], [22, 51, 42]] ------------------------------ Epoch 1484 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.073333 - Iter 024 / 025, Loss: 0.293017 * Train accuracy / confusion: 97.25% / [[348, 5, 5], [7, 258, 1], [3, 1, 172]], * Val accuracy / confusion: 58.46% / [[156, 49, 25], [44, 96, 35], [20, 43, 52]] ------------------------------ Epoch 1485 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.019766 - Iter 024 / 025, Loss: 0.042678 * Train accuracy / confusion: 96.50% / [[347, 6, 2], [11, 254, 2], [4, 3, 171]], * Val accuracy / confusion: 57.88% / [[167, 39, 24], [52, 87, 36], [24, 44, 47]] ------------------------------ Epoch 1486 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.037880 - Iter 024 / 025, Loss: 0.021526 * Train accuracy / confusion: 97.12% / [[346, 5, 1], [6, 259, 4], [3, 4, 172]], * Val accuracy / confusion: 59.04% / [[170, 38, 22], [58, 92, 25], [20, 50, 45]] ------------------------------ Epoch 1487 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.039172 - Iter 024 / 025, Loss: 0.068869 * Train accuracy / confusion: 97.25% / [[351, 3, 0], [8, 258, 4], [6, 1, 169]], * Val accuracy / confusion: 60.19% / [[163, 39, 28], [47, 107, 21], [20, 52, 43]] ------------------------------ Epoch 1488 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.108033 - Iter 024 / 025, Loss: 0.036469 * Train accuracy / confusion: 97.38% / [[350, 4, 2], [8, 256, 4], [1, 2, 173]], * Val accuracy / confusion: 60.77% / [[164, 43, 23], [51, 102, 22], [20, 45, 50]] ------------------------------ Epoch 1489 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.045823 - Iter 024 / 025, Loss: 0.119210 * Train accuracy / confusion: 96.88% / [[351, 8, 2], [8, 249, 6], [1, 0, 175]], * Val accuracy / confusion: 59.23% / [[157, 47, 26], [50, 103, 22], [20, 47, 48]] ------------------------------ Epoch 1490 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.052795 - Iter 024 / 025, Loss: 0.149293 * Train accuracy / confusion: 97.38% / [[349, 6, 0], [9, 256, 3], [0, 3, 174]], * Val accuracy / confusion: 58.85% / [[166, 41, 23], [55, 96, 24], [23, 48, 44]] ------------------------------ Epoch 1491 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.159548 - Iter 024 / 025, Loss: 0.024644 * Train accuracy / confusion: 97.75% / [[349, 5, 0], [8, 259, 3], [1, 1, 174]], * Val accuracy / confusion: 61.54% / [[172, 37, 21], [51, 101, 23], [20, 48, 47]] ------------------------------ Epoch 1492 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.144214 - Iter 024 / 025, Loss: 0.011156 * Train accuracy / confusion: 97.38% / [[345, 5, 3], [9, 262, 1], [1, 2, 172]], * Val accuracy / confusion: 59.62% / [[166, 37, 27], [49, 95, 31], [22, 44, 49]] ------------------------------ Epoch 1493 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.030344 - Iter 024 / 025, Loss: 0.019566 * Train accuracy / confusion: 96.62% / [[351, 3, 1], [10, 257, 1], [5, 7, 165]], * Val accuracy / confusion: 58.65% / [[161, 38, 31], [59, 92, 24], [22, 41, 52]] ------------------------------ Epoch 1494 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.017538 - Iter 024 / 025, Loss: 0.049201 * Train accuracy / confusion: 96.62% / [[343, 11, 3], [9, 252, 1], [2, 1, 178]], * Val accuracy / confusion: 58.27% / [[158, 50, 22], [48, 100, 27], [22, 48, 45]] ------------------------------ Epoch 1495 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020117 - Iter 024 / 025, Loss: 0.017635 * Train accuracy / confusion: 97.25% / [[351, 3, 2], [8, 255, 4], [2, 3, 172]], * Val accuracy / confusion: 58.08% / [[158, 38, 34], [51, 100, 24], [23, 48, 44]] ------------------------------ Epoch 1496 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.137203 - Iter 024 / 025, Loss: 0.048703 * Train accuracy / confusion: 97.62% / [[351, 7, 1], [7, 259, 2], [0, 2, 171]], * Val accuracy / confusion: 57.88% / [[159, 45, 26], [56, 89, 30], [24, 38, 53]] ------------------------------ Epoch 1497 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.336121 - Iter 024 / 025, Loss: 0.027539 * Train accuracy / confusion: 97.00% / [[348, 7, 5], [7, 256, 3], [1, 1, 172]], * Val accuracy / confusion: 55.96% / [[153, 54, 23], [63, 89, 23], [23, 43, 49]] ------------------------------ Epoch 1498 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.165141 - Iter 024 / 025, Loss: 0.075477 * Train accuracy / confusion: 96.75% / [[344, 6, 4], [8, 259, 2], [2, 4, 171]], * Val accuracy / confusion: 60.96% / [[165, 41, 24], [59, 94, 22], [18, 39, 58]] ------------------------------ Epoch 1499 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.065707 - Iter 024 / 025, Loss: 0.031649 * Train accuracy / confusion: 97.62% / [[352, 5, 1], [9, 255, 3], [1, 0, 174]], * Val accuracy / confusion: 60.58% / [[158, 53, 19], [53, 102, 20], [24, 36, 55]] ------------------------------ Epoch 1500 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.054325 - Iter 024 / 025, Loss: 0.037405 * Train accuracy / confusion: 97.62% / [[348, 8, 0], [6, 261, 2], [0, 3, 172]], * Val accuracy / confusion: 59.04% / [[162, 43, 25], [56, 99, 20], [24, 45, 46]] ------------------------------ Epoch 1501 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.140099 - Iter 024 / 025, Loss: 0.154701 * Train accuracy / confusion: 97.50% / [[351, 2, 0], [15, 252, 1], [1, 1, 177]], * Val accuracy / confusion: 58.65% / [[167, 36, 27], [59, 93, 23], [23, 47, 45]] ------------------------------ Epoch 1502 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.083181 - Iter 024 / 025, Loss: 0.125372 * Train accuracy / confusion: 95.50% / [[340, 8, 5], [12, 255, 4], [3, 4, 169]], * Val accuracy / confusion: 61.35% / [[167, 38, 25], [49, 100, 26], [22, 41, 52]] ------------------------------ Epoch 1503 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.032703 - Iter 024 / 025, Loss: 0.202630 * Train accuracy / confusion: 96.25% / [[352, 7, 1], [18, 247, 1], [2, 1, 171]], * Val accuracy / confusion: 58.46% / [[158, 49, 23], [50, 101, 24], [17, 53, 45]] ------------------------------ Epoch 1504 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.092946 - Iter 024 / 025, Loss: 0.020482 * Train accuracy / confusion: 97.38% / [[347, 4, 3], [9, 257, 4], [0, 1, 175]], * Val accuracy / confusion: 59.81% / [[161, 48, 21], [49, 105, 21], [24, 46, 45]] ------------------------------ Epoch 1505 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.023134 - Iter 024 / 025, Loss: 0.017411 * Train accuracy / confusion: 97.25% / [[352, 5, 1], [6, 254, 2], [5, 3, 172]], * Val accuracy / confusion: 58.08% / [[153, 49, 28], [53, 97, 25], [22, 41, 52]] ------------------------------ Epoch 1506 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.026455 - Iter 024 / 025, Loss: 0.079497 * Train accuracy / confusion: 96.38% / [[347, 8, 3], [9, 253, 2], [2, 5, 171]], * Val accuracy / confusion: 56.92% / [[156, 51, 23], [51, 102, 22], [18, 59, 38]] ------------------------------ Epoch 1507 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.026403 - Iter 024 / 025, Loss: 0.353107 * Train accuracy / confusion: 96.88% / [[348, 6, 4], [9, 258, 1], [4, 1, 169]], * Val accuracy / confusion: 60.38% / [[160, 53, 17], [44, 104, 27], [21, 44, 50]] ------------------------------ Epoch 1508 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.023736 - Iter 024 / 025, Loss: 0.064671 * Train accuracy / confusion: 96.75% / [[353, 4, 2], [12, 253, 3], [3, 2, 168]], * Val accuracy / confusion: 57.69% / [[162, 38, 30], [54, 95, 26], [21, 51, 43]] ------------------------------ Epoch 1509 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.090319 - Iter 024 / 025, Loss: 0.037752 * Train accuracy / confusion: 97.50% / [[342, 7, 6], [3, 265, 0], [3, 1, 173]], * Val accuracy / confusion: 60.38% / [[175, 35, 20], [54, 93, 28], [23, 46, 46]] ------------------------------ Epoch 1510 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.062161 - Iter 024 / 025, Loss: 0.041857 * Train accuracy / confusion: 97.88% / [[353, 3, 2], [6, 255, 5], [1, 0, 175]], * Val accuracy / confusion: 59.04% / [[159, 48, 23], [54, 100, 21], [20, 47, 48]] ------------------------------ Epoch 1511 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.034722 - Iter 024 / 025, Loss: 0.125498 * Train accuracy / confusion: 98.50% / [[351, 3, 0], [6, 259, 2], [0, 1, 178]], * Val accuracy / confusion: 59.42% / [[153, 50, 27], [45, 109, 21], [22, 46, 47]] ------------------------------ Epoch 1512 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.096992 - Iter 024 / 025, Loss: 0.020469 * Train accuracy / confusion: 96.38% / [[350, 3, 2], [15, 250, 4], [2, 3, 171]], * Val accuracy / confusion: 57.12% / [[157, 46, 27], [54, 93, 28], [22, 46, 47]] ------------------------------ Epoch 1513 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.057551 - Iter 024 / 025, Loss: 0.094268 * Train accuracy / confusion: 97.75% / [[350, 5, 1], [8, 259, 4], [0, 0, 173]], * Val accuracy / confusion: 58.85% / [[158, 43, 29], [53, 99, 23], [22, 44, 49]] ------------------------------ Epoch 1514 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.077714 - Iter 024 / 025, Loss: 0.108597 * Train accuracy / confusion: 96.62% / [[347, 5, 2], [12, 255, 1], [5, 2, 171]], * Val accuracy / confusion: 58.65% / [[158, 45, 27], [54, 98, 23], [26, 40, 49]] ------------------------------ Epoch 1515 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.141767 - Iter 024 / 025, Loss: 0.061768 * Train accuracy / confusion: 97.50% / [[344, 6, 3], [8, 258, 3], [0, 0, 178]], * Val accuracy / confusion: 56.73% / [[161, 46, 23], [63, 91, 21], [25, 47, 43]] ------------------------------ Epoch 1516 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.280471 - Iter 024 / 025, Loss: 0.108736 * Train accuracy / confusion: 96.62% / [[347, 7, 4], [7, 256, 4], [1, 4, 170]], * Val accuracy / confusion: 56.54% / [[157, 46, 27], [48, 96, 31], [20, 54, 41]] ------------------------------ Epoch 1517 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.083343 - Iter 024 / 025, Loss: 0.058495 * Train accuracy / confusion: 97.38% / [[347, 5, 0], [7, 260, 3], [2, 4, 172]], * Val accuracy / confusion: 60.96% / [[165, 41, 24], [55, 98, 22], [21, 40, 54]] ------------------------------ Epoch 1518 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.028651 - Iter 024 / 025, Loss: 0.110028 * Train accuracy / confusion: 96.62% / [[352, 5, 2], [8, 254, 6], [3, 3, 167]], * Val accuracy / confusion: 60.38% / [[164, 49, 17], [49, 101, 25], [24, 42, 49]] ------------------------------ Epoch 1519 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.088255 - Iter 024 / 025, Loss: 0.033413 * Train accuracy / confusion: 96.75% / [[349, 6, 3], [8, 253, 2], [3, 4, 172]], * Val accuracy / confusion: 58.65% / [[162, 45, 23], [58, 102, 15], [24, 50, 41]] ------------------------------ Epoch 1520 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.183062 - Iter 024 / 025, Loss: 0.086207 * Train accuracy / confusion: 96.88% / [[351, 4, 2], [7, 254, 4], [3, 5, 170]], * Val accuracy / confusion: 57.50% / [[157, 53, 20], [50, 96, 29], [23, 46, 46]] ------------------------------ Epoch 1521 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.030965 - Iter 024 / 025, Loss: 0.154722 * Train accuracy / confusion: 96.88% / [[344, 8, 2], [10, 260, 0], [0, 5, 171]], * Val accuracy / confusion: 59.62% / [[166, 40, 24], [54, 101, 20], [21, 51, 43]] ------------------------------ Epoch 1522 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.008399 - Iter 024 / 025, Loss: 0.039895 * Train accuracy / confusion: 97.12% / [[345, 7, 2], [8, 258, 4], [1, 1, 174]], * Val accuracy / confusion: 56.73% / [[153, 44, 33], [50, 92, 33], [21, 44, 50]] ------------------------------ Epoch 1523 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.192778 - Iter 024 / 025, Loss: 0.061192 * Train accuracy / confusion: 97.12% / [[347, 8, 1], [6, 259, 1], [3, 4, 171]], * Val accuracy / confusion: 60.58% / [[167, 41, 22], [55, 102, 18], [23, 46, 46]] ------------------------------ Epoch 1524 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.038746 - Iter 024 / 025, Loss: 0.237427 * Train accuracy / confusion: 97.88% / [[351, 5, 1], [8, 259, 2], [0, 1, 173]], * Val accuracy / confusion: 59.23% / [[167, 43, 20], [49, 97, 29], [22, 49, 44]] ------------------------------ Epoch 1525 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.023116 - Iter 024 / 025, Loss: 0.011465 * Train accuracy / confusion: 97.25% / [[353, 3, 4], [5, 256, 3], [4, 3, 169]], * Val accuracy / confusion: 60.19% / [[166, 41, 23], [52, 97, 26], [21, 44, 50]] ------------------------------ Epoch 1526 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.076785 - Iter 024 / 025, Loss: 0.077073 * Train accuracy / confusion: 97.25% / [[345, 10, 1], [5, 260, 3], [2, 1, 173]], * Val accuracy / confusion: 60.19% / [[170, 38, 22], [56, 101, 18], [23, 50, 42]] ------------------------------ Epoch 1527 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.169132 - Iter 024 / 025, Loss: 0.014865 * Train accuracy / confusion: 96.88% / [[348, 7, 0], [10, 256, 3], [3, 2, 171]], * Val accuracy / confusion: 58.85% / [[157, 54, 19], [56, 99, 20], [20, 45, 50]] ------------------------------ Epoch 1528 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.105434 - Iter 024 / 025, Loss: 0.118903 * Train accuracy / confusion: 97.25% / [[347, 5, 1], [3, 264, 4], [4, 5, 167]], * Val accuracy / confusion: 57.88% / [[165, 35, 30], [62, 92, 21], [26, 45, 44]] ------------------------------ Epoch 1529 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.030253 - Iter 024 / 025, Loss: 0.018897 * Train accuracy / confusion: 96.62% / [[349, 9, 2], [10, 256, 0], [5, 1, 168]], * Val accuracy / confusion: 59.04% / [[164, 41, 25], [53, 99, 23], [22, 49, 44]] ------------------------------ Epoch 1530 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.134392 - Iter 024 / 025, Loss: 0.059414 * Train accuracy / confusion: 98.00% / [[344, 2, 2], [8, 264, 3], [0, 1, 176]], * Val accuracy / confusion: 60.77% / [[161, 42, 27], [52, 108, 15], [20, 48, 47]] ------------------------------ Epoch 1531 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.076090 - Iter 024 / 025, Loss: 0.116273 * Train accuracy / confusion: 97.38% / [[351, 7, 2], [7, 257, 3], [1, 1, 171]], * Val accuracy / confusion: 57.88% / [[160, 38, 32], [55, 99, 21], [22, 51, 42]] ------------------------------ Epoch 1532 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.168493 - Iter 024 / 025, Loss: 0.023640 * Train accuracy / confusion: 96.88% / [[344, 5, 2], [11, 256, 4], [1, 2, 175]], * Val accuracy / confusion: 61.54% / [[172, 36, 22], [50, 94, 31], [22, 39, 54]] ------------------------------ Epoch 1533 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.147123 - Iter 024 / 025, Loss: 0.119730 * Train accuracy / confusion: 97.62% / [[350, 4, 1], [4, 259, 4], [3, 3, 172]], * Val accuracy / confusion: 57.88% / [[166, 44, 20], [58, 90, 27], [29, 41, 45]] ------------------------------ Epoch 1534 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.209104 - Iter 024 / 025, Loss: 0.028196 * Train accuracy / confusion: 97.75% / [[349, 10, 0], [4, 261, 2], [2, 0, 172]], * Val accuracy / confusion: 58.27% / [[159, 45, 26], [54, 96, 25], [24, 43, 48]] ------------------------------ Epoch 1535 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020378 - Iter 024 / 025, Loss: 0.028941 * Train accuracy / confusion: 97.62% / [[351, 1, 2], [11, 258, 0], [2, 3, 172]], * Val accuracy / confusion: 57.88% / [[159, 50, 21], [53, 98, 24], [27, 44, 44]] ------------------------------ Epoch 1536 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.027425 - Iter 024 / 025, Loss: 0.054742 * Train accuracy / confusion: 98.25% / [[353, 2, 0], [7, 258, 1], [3, 1, 175]], * Val accuracy / confusion: 57.31% / [[164, 42, 24], [61, 91, 23], [22, 50, 43]] ------------------------------ Epoch 1537 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.022751 - Iter 024 / 025, Loss: 0.110375 * Train accuracy / confusion: 97.88% / [[349, 5, 2], [6, 259, 3], [0, 1, 175]], * Val accuracy / confusion: 58.65% / [[158, 46, 26], [53, 97, 25], [19, 46, 50]] ------------------------------ Epoch 1538 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.170037 - Iter 024 / 025, Loss: 0.051130 * Train accuracy / confusion: 95.75% / [[346, 10, 2], [9, 254, 3], [4, 6, 166]], * Val accuracy / confusion: 59.42% / [[162, 43, 25], [57, 100, 18], [20, 48, 47]] ------------------------------ Epoch 1539 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007815 - Iter 024 / 025, Loss: 0.162789 * Train accuracy / confusion: 97.00% / [[350, 7, 2], [8, 256, 2], [3, 2, 170]], * Val accuracy / confusion: 56.92% / [[156, 49, 25], [52, 94, 29], [23, 46, 46]] ------------------------------ Epoch 1540 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.058400 - Iter 024 / 025, Loss: 0.033359 * Train accuracy / confusion: 97.38% / [[348, 6, 3], [7, 262, 1], [3, 1, 169]], * Val accuracy / confusion: 59.42% / [[166, 36, 28], [56, 96, 23], [17, 51, 47]] ------------------------------ Epoch 1541 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012990 - Iter 024 / 025, Loss: 0.011162 * Train accuracy / confusion: 97.38% / [[353, 7, 0], [10, 251, 1], [1, 2, 175]], * Val accuracy / confusion: 58.08% / [[150, 47, 33], [45, 105, 25], [19, 49, 47]] ------------------------------ Epoch 1542 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.033735 - Iter 024 / 025, Loss: 0.073385 * Train accuracy / confusion: 96.62% / [[346, 7, 4], [9, 255, 4], [1, 2, 172]], * Val accuracy / confusion: 59.62% / [[160, 52, 18], [44, 101, 30], [18, 48, 49]] ------------------------------ Epoch 1543 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.102276 - Iter 024 / 025, Loss: 0.020291 * Train accuracy / confusion: 96.62% / [[351, 3, 4], [11, 254, 3], [3, 3, 168]], * Val accuracy / confusion: 58.08% / [[165, 46, 19], [61, 96, 18], [27, 47, 41]] ------------------------------ Epoch 1544 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.033288 - Iter 024 / 025, Loss: 0.057853 * Train accuracy / confusion: 98.00% / [[353, 3, 2], [8, 259, 2], [0, 1, 172]], * Val accuracy / confusion: 59.23% / [[166, 41, 23], [52, 100, 23], [26, 47, 42]] ------------------------------ Epoch 1545 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.030197 - Iter 024 / 025, Loss: 0.031585 * Train accuracy / confusion: 96.75% / [[337, 8, 8], [7, 263, 0], [1, 2, 174]], * Val accuracy / confusion: 56.92% / [[152, 47, 31], [48, 107, 20], [25, 53, 37]] ------------------------------ Epoch 1546 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.043522 - Iter 024 / 025, Loss: 0.103484 * Train accuracy / confusion: 96.88% / [[346, 8, 1], [12, 254, 0], [3, 1, 175]], * Val accuracy / confusion: 60.38% / [[165, 39, 26], [48, 103, 24], [20, 49, 46]] ------------------------------ Epoch 1547 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005661 - Iter 024 / 025, Loss: 0.170074 * Train accuracy / confusion: 97.88% / [[354, 5, 2], [6, 256, 0], [4, 0, 173]], * Val accuracy / confusion: 59.42% / [[166, 44, 20], [53, 98, 24], [23, 47, 45]] ------------------------------ Epoch 1548 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.089703 - Iter 024 / 025, Loss: 0.088907 * Train accuracy / confusion: 97.62% / [[356, 3, 1], [9, 253, 4], [0, 2, 172]], * Val accuracy / confusion: 58.27% / [[158, 45, 27], [46, 98, 31], [22, 46, 47]] ------------------------------ Epoch 1549 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.036198 - Iter 024 / 025, Loss: 0.054721 * Train accuracy / confusion: 95.62% / [[342, 8, 1], [14, 256, 2], [4, 6, 167]], * Val accuracy / confusion: 58.65% / [[157, 47, 26], [51, 100, 24], [21, 46, 48]] ------------------------------ Epoch 1550 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.025121 - Iter 024 / 025, Loss: 0.021307 * Train accuracy / confusion: 98.12% / [[357, 5, 0], [6, 254, 3], [1, 0, 174]], * Val accuracy / confusion: 58.85% / [[165, 43, 22], [49, 101, 25], [24, 51, 40]] ------------------------------ Epoch 1551 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.153539 - Iter 024 / 025, Loss: 0.115659 * Train accuracy / confusion: 96.88% / [[342, 6, 4], [9, 256, 5], [1, 0, 177]], * Val accuracy / confusion: 59.62% / [[168, 39, 23], [58, 90, 27], [22, 41, 52]] ------------------------------ Epoch 1552 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.103690 - Iter 024 / 025, Loss: 0.042293 * Train accuracy / confusion: 96.38% / [[343, 8, 1], [10, 256, 5], [3, 2, 172]], * Val accuracy / confusion: 56.73% / [[159, 41, 30], [55, 89, 31], [20, 48, 47]] ------------------------------ Epoch 1553 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.140215 - Iter 024 / 025, Loss: 0.064790 * Train accuracy / confusion: 97.12% / [[342, 9, 3], [6, 261, 2], [2, 1, 174]], * Val accuracy / confusion: 59.04% / [[156, 51, 23], [47, 106, 22], [19, 51, 45]] ------------------------------ Epoch 1554 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.036641 - Iter 024 / 025, Loss: 0.084148 * Train accuracy / confusion: 97.50% / [[349, 4, 1], [9, 255, 3], [0, 3, 176]], * Val accuracy / confusion: 59.42% / [[161, 46, 23], [46, 103, 26], [25, 45, 45]] ------------------------------ Epoch 1555 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.061831 - Iter 024 / 025, Loss: 0.027024 * Train accuracy / confusion: 98.38% / [[348, 8, 0], [4, 262, 1], [0, 0, 177]], * Val accuracy / confusion: 60.58% / [[166, 40, 24], [55, 103, 17], [22, 47, 46]] ------------------------------ Epoch 1556 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.131389 - Iter 024 / 025, Loss: 0.128442 * Train accuracy / confusion: 97.25% / [[353, 4, 3], [12, 251, 0], [2, 1, 174]], * Val accuracy / confusion: 58.08% / [[156, 52, 22], [51, 102, 22], [24, 47, 44]] ------------------------------ Epoch 1557 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.079430 - Iter 024 / 025, Loss: 0.014459 * Train accuracy / confusion: 96.88% / [[344, 13, 0], [9, 252, 1], [0, 2, 179]], * Val accuracy / confusion: 59.42% / [[164, 38, 28], [55, 98, 22], [18, 50, 47]] ------------------------------ Epoch 1558 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011682 - Iter 024 / 025, Loss: 0.066053 * Train accuracy / confusion: 97.25% / [[352, 3, 3], [8, 254, 3], [1, 4, 172]], * Val accuracy / confusion: 59.04% / [[165, 41, 24], [54, 95, 26], [24, 44, 47]] ------------------------------ Epoch 1559 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.102970 - Iter 024 / 025, Loss: 0.036474 * Train accuracy / confusion: 97.75% / [[347, 3, 2], [4, 262, 5], [3, 1, 173]], * Val accuracy / confusion: 59.04% / [[161, 42, 27], [53, 96, 26], [23, 42, 50]] ------------------------------ Epoch 1560 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.226220 - Iter 024 / 025, Loss: 0.091508 * Train accuracy / confusion: 97.38% / [[352, 1, 2], [7, 255, 5], [4, 2, 172]], * Val accuracy / confusion: 59.04% / [[169, 37, 24], [55, 100, 20], [28, 49, 38]] ------------------------------ Epoch 1561 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.057424 - Iter 024 / 025, Loss: 0.169936 * Train accuracy / confusion: 96.62% / [[352, 4, 3], [8, 254, 3], [2, 7, 167]], * Val accuracy / confusion: 57.50% / [[162, 51, 17], [55, 95, 25], [28, 45, 42]] ------------------------------ Epoch 1562 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.047123 - Iter 024 / 025, Loss: 0.032631 * Train accuracy / confusion: 96.38% / [[346, 5, 2], [11, 257, 2], [4, 5, 168]], * Val accuracy / confusion: 58.65% / [[168, 39, 23], [61, 92, 22], [26, 44, 45]] ------------------------------ Epoch 1563 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.247679 - Iter 024 / 025, Loss: 0.080988 * Train accuracy / confusion: 96.75% / [[350, 6, 2], [8, 256, 3], [4, 3, 168]], * Val accuracy / confusion: 57.31% / [[166, 41, 23], [55, 95, 25], [26, 52, 37]] ------------------------------ Epoch 1564 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.093159 - Iter 024 / 025, Loss: 0.069615 * Train accuracy / confusion: 96.75% / [[343, 5, 3], [15, 258, 0], [1, 2, 173]], * Val accuracy / confusion: 58.27% / [[164, 43, 23], [53, 94, 28], [23, 47, 45]] ------------------------------ Epoch 1565 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.084919 - Iter 024 / 025, Loss: 0.127137 * Train accuracy / confusion: 97.62% / [[351, 4, 1], [7, 257, 3], [2, 2, 173]], * Val accuracy / confusion: 59.42% / [[162, 45, 23], [48, 101, 26], [20, 49, 46]] ------------------------------ Epoch 1566 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.042299 - Iter 024 / 025, Loss: 0.026568 * Train accuracy / confusion: 98.25% / [[354, 4, 0], [6, 261, 1], [1, 2, 171]], * Val accuracy / confusion: 57.88% / [[160, 48, 22], [61, 95, 19], [25, 44, 46]] ------------------------------ Epoch 1567 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.121260 - Iter 024 / 025, Loss: 0.016251 * Train accuracy / confusion: 96.88% / [[353, 7, 2], [9, 251, 2], [4, 1, 171]], * Val accuracy / confusion: 56.54% / [[151, 55, 24], [43, 96, 36], [22, 46, 47]] ------------------------------ Epoch 1568 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.090709 - Iter 024 / 025, Loss: 0.067031 * Train accuracy / confusion: 97.12% / [[344, 6, 2], [10, 261, 0], [3, 2, 172]], * Val accuracy / confusion: 56.92% / [[155, 53, 22], [48, 103, 24], [23, 54, 38]] ------------------------------ Epoch 1569 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.150321 - Iter 024 / 025, Loss: 0.049896 * Train accuracy / confusion: 97.50% / [[347, 8, 0], [10, 260, 0], [0, 2, 173]], * Val accuracy / confusion: 57.31% / [[156, 50, 24], [52, 96, 27], [23, 46, 46]] ------------------------------ Epoch 1570 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.097094 - Iter 024 / 025, Loss: 0.013574 * Train accuracy / confusion: 96.88% / [[344, 12, 2], [6, 261, 1], [2, 2, 170]], * Val accuracy / confusion: 57.12% / [[166, 42, 22], [56, 87, 32], [23, 48, 44]] ------------------------------ Epoch 1571 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.025675 - Iter 024 / 025, Loss: 0.092554 * Train accuracy / confusion: 97.62% / [[348, 4, 2], [7, 261, 2], [1, 3, 172]], * Val accuracy / confusion: 60.38% / [[163, 44, 23], [45, 107, 23], [21, 50, 44]] ------------------------------ Epoch 1572 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.114121 - Iter 024 / 025, Loss: 0.046538 * Train accuracy / confusion: 97.12% / [[352, 4, 4], [10, 255, 2], [3, 0, 170]], * Val accuracy / confusion: 59.23% / [[158, 49, 23], [54, 104, 17], [17, 52, 46]] ------------------------------ Epoch 1573 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011929 - Iter 024 / 025, Loss: 0.204240 * Train accuracy / confusion: 96.62% / [[349, 5, 3], [12, 254, 4], [1, 2, 170]], * Val accuracy / confusion: 59.81% / [[164, 40, 26], [46, 102, 27], [21, 49, 45]] ------------------------------ Epoch 1574 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.138003 - Iter 024 / 025, Loss: 0.019265 * Train accuracy / confusion: 98.00% / [[346, 10, 1], [3, 262, 0], [1, 1, 176]], * Val accuracy / confusion: 57.50% / [[160, 51, 19], [52, 100, 23], [23, 53, 39]] ------------------------------ Epoch 1575 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.036502 - Iter 024 / 025, Loss: 0.035590 * Train accuracy / confusion: 97.12% / [[351, 6, 1], [8, 255, 3], [5, 0, 171]], * Val accuracy / confusion: 60.96% / [[172, 38, 20], [53, 97, 25], [23, 44, 48]] ------------------------------ Epoch 1576 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020752 - Iter 024 / 025, Loss: 0.078717 * Train accuracy / confusion: 97.38% / [[348, 7, 0], [8, 259, 2], [3, 1, 172]], * Val accuracy / confusion: 58.08% / [[165, 39, 26], [55, 93, 27], [20, 51, 44]] ------------------------------ Epoch 1577 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007925 - Iter 024 / 025, Loss: 0.021888 * Train accuracy / confusion: 97.38% / [[345, 5, 1], [9, 259, 3], [1, 2, 175]], * Val accuracy / confusion: 60.19% / [[171, 39, 20], [58, 98, 19], [21, 50, 44]] ------------------------------ Epoch 1578 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.160861 - Iter 024 / 025, Loss: 0.191088 * Train accuracy / confusion: 97.38% / [[356, 1, 3], [9, 251, 2], [0, 6, 172]], * Val accuracy / confusion: 59.42% / [[163, 43, 24], [50, 96, 29], [18, 47, 50]] ------------------------------ Epoch 1579 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007682 - Iter 024 / 025, Loss: 0.144791 * Train accuracy / confusion: 97.38% / [[354, 3, 2], [11, 253, 2], [1, 2, 172]], * Val accuracy / confusion: 59.62% / [[167, 43, 20], [65, 94, 16], [23, 43, 49]] ------------------------------ Epoch 1580 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.034103 - Iter 024 / 025, Loss: 0.267226 * Train accuracy / confusion: 96.25% / [[349, 7, 4], [11, 254, 2], [3, 3, 167]], * Val accuracy / confusion: 58.65% / [[162, 40, 28], [51, 98, 26], [23, 47, 45]] ------------------------------ Epoch 1581 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.095723 - Iter 024 / 025, Loss: 0.023661 * Train accuracy / confusion: 96.88% / [[348, 5, 3], [8, 255, 4], [3, 2, 172]], * Val accuracy / confusion: 57.12% / [[160, 45, 25], [65, 89, 21], [20, 47, 48]] ------------------------------ Epoch 1582 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.027094 - Iter 024 / 025, Loss: 0.063746 * Train accuracy / confusion: 97.38% / [[344, 8, 3], [5, 263, 2], [2, 1, 172]], * Val accuracy / confusion: 59.04% / [[158, 46, 26], [55, 98, 22], [24, 40, 51]] ------------------------------ Epoch 1583 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.108485 - Iter 024 / 025, Loss: 0.057979 * Train accuracy / confusion: 96.50% / [[345, 10, 3], [6, 257, 4], [4, 1, 170]], * Val accuracy / confusion: 59.04% / [[157, 53, 20], [47, 105, 23], [22, 48, 45]] ------------------------------ Epoch 1584 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.133790 - Iter 024 / 025, Loss: 0.053503 * Train accuracy / confusion: 96.88% / [[352, 2, 1], [9, 255, 4], [1, 8, 168]], * Val accuracy / confusion: 57.12% / [[161, 43, 26], [63, 87, 25], [23, 43, 49]] ------------------------------ Epoch 1585 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.114576 - Iter 024 / 025, Loss: 0.034253 * Train accuracy / confusion: 97.25% / [[351, 7, 2], [7, 259, 2], [0, 4, 168]], * Val accuracy / confusion: 57.31% / [[162, 45, 23], [58, 96, 21], [24, 51, 40]] ------------------------------ Epoch 1586 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.021437 - Iter 024 / 025, Loss: 0.058240 * Train accuracy / confusion: 97.25% / [[349, 2, 1], [10, 257, 5], [3, 1, 172]], * Val accuracy / confusion: 58.85% / [[165, 45, 20], [48, 97, 30], [19, 52, 44]] ------------------------------ Epoch 1587 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.072091 - Iter 024 / 025, Loss: 0.047453 * Train accuracy / confusion: 98.00% / [[357, 2, 1], [7, 255, 2], [1, 3, 172]], * Val accuracy / confusion: 56.73% / [[145, 57, 28], [47, 101, 27], [22, 44, 49]] ------------------------------ Epoch 1588 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.071765 - Iter 024 / 025, Loss: 0.159843 * Train accuracy / confusion: 97.62% / [[350, 5, 1], [5, 258, 5], [3, 0, 173]], * Val accuracy / confusion: 58.85% / [[166, 45, 19], [58, 95, 22], [23, 47, 45]] ------------------------------ Epoch 1589 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.078356 - Iter 024 / 025, Loss: 0.103800 * Train accuracy / confusion: 96.88% / [[345, 8, 2], [4, 264, 2], [5, 4, 166]], * Val accuracy / confusion: 59.62% / [[161, 47, 22], [53, 101, 21], [25, 42, 48]] ------------------------------ Epoch 1590 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.088201 - Iter 024 / 025, Loss: 0.038593 * Train accuracy / confusion: 97.12% / [[342, 9, 0], [8, 259, 3], [1, 2, 176]], * Val accuracy / confusion: 61.73% / [[170, 39, 21], [53, 105, 17], [25, 44, 46]] ------------------------------ Epoch 1591 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.054898 - Iter 024 / 025, Loss: 0.039877 * Train accuracy / confusion: 98.25% / [[352, 0, 0], [8, 257, 4], [1, 1, 177]], * Val accuracy / confusion: 55.00% / [[144, 52, 34], [57, 93, 25], [23, 43, 49]] ------------------------------ Epoch 1592 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.032162 - Iter 024 / 025, Loss: 0.101482 * Train accuracy / confusion: 97.50% / [[359, 3, 0], [8, 254, 4], [2, 3, 167]], * Val accuracy / confusion: 57.69% / [[158, 46, 26], [53, 95, 27], [28, 40, 47]] ------------------------------ Epoch 1593 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.094020 - Iter 024 / 025, Loss: 0.056179 * Train accuracy / confusion: 95.75% / [[344, 10, 3], [8, 256, 5], [2, 6, 166]], * Val accuracy / confusion: 58.27% / [[165, 42, 23], [55, 88, 32], [22, 43, 50]] ------------------------------ Epoch 1594 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012519 - Iter 024 / 025, Loss: 0.015441 * Train accuracy / confusion: 97.38% / [[347, 7, 4], [5, 258, 2], [2, 1, 174]], * Val accuracy / confusion: 57.88% / [[158, 39, 33], [55, 93, 27], [22, 43, 50]] ------------------------------ Epoch 1595 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.143781 - Iter 024 / 025, Loss: 0.040441 * Train accuracy / confusion: 96.75% / [[342, 5, 3], [7, 264, 2], [5, 4, 168]], * Val accuracy / confusion: 59.42% / [[165, 39, 26], [52, 99, 24], [26, 44, 45]] ------------------------------ Epoch 1596 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.075404 - Iter 024 / 025, Loss: 0.062376 * Train accuracy / confusion: 97.12% / [[344, 10, 0], [4, 264, 3], [3, 3, 169]], * Val accuracy / confusion: 57.88% / [[159, 47, 24], [61, 100, 14], [26, 47, 42]] ------------------------------ Epoch 1597 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024471 - Iter 024 / 025, Loss: 0.062001 * Train accuracy / confusion: 96.88% / [[346, 5, 4], [10, 258, 3], [1, 2, 171]], * Val accuracy / confusion: 57.50% / [[161, 48, 21], [61, 94, 20], [24, 47, 44]] ------------------------------ Epoch 1598 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.017466 - Iter 024 / 025, Loss: 0.209001 * Train accuracy / confusion: 97.25% / [[350, 5, 0], [7, 255, 5], [3, 2, 173]], * Val accuracy / confusion: 60.38% / [[165, 42, 23], [55, 98, 22], [21, 43, 51]] ------------------------------ Epoch 1599 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.056523 - Iter 024 / 025, Loss: 0.048290 * Train accuracy / confusion: 97.50% / [[346, 7, 1], [9, 262, 0], [2, 1, 172]], * Val accuracy / confusion: 57.88% / [[166, 37, 27], [58, 91, 26], [20, 51, 44]] ------------------------------ Epoch 1600 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.034380 - Iter 024 / 025, Loss: 0.091318 * Train accuracy / confusion: 97.38% / [[351, 6, 2], [6, 254, 3], [1, 3, 174]], * Val accuracy / confusion: 58.46% / [[160, 49, 21], [51, 98, 26], [22, 47, 46]] ------------------------------ Epoch 1601 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010023 - Iter 024 / 025, Loss: 0.123893 * Train accuracy / confusion: 97.00% / [[348, 5, 3], [10, 252, 4], [1, 1, 176]], * Val accuracy / confusion: 60.00% / [[168, 41, 21], [60, 94, 21], [24, 41, 50]] ------------------------------ Epoch 1602 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.182291 - Iter 024 / 025, Loss: 0.173006 * Train accuracy / confusion: 97.62% / [[348, 3, 4], [8, 257, 1], [2, 1, 176]], * Val accuracy / confusion: 59.42% / [[167, 45, 18], [54, 97, 24], [24, 46, 45]] ------------------------------ Epoch 1603 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.221139 - Iter 024 / 025, Loss: 0.024544 * Train accuracy / confusion: 97.38% / [[349, 5, 2], [10, 255, 2], [0, 2, 175]], * Val accuracy / confusion: 57.50% / [[158, 51, 21], [54, 99, 22], [22, 51, 42]] ------------------------------ Epoch 1604 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.047600 - Iter 024 / 025, Loss: 0.010995 * Train accuracy / confusion: 96.62% / [[344, 3, 4], [9, 256, 2], [4, 5, 173]], * Val accuracy / confusion: 59.04% / [[167, 44, 19], [51, 97, 27], [18, 54, 43]] ------------------------------ Epoch 1605 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.027116 - Iter 024 / 025, Loss: 0.074620 * Train accuracy / confusion: 97.50% / [[349, 5, 4], [3, 261, 2], [4, 2, 170]], * Val accuracy / confusion: 58.85% / [[163, 49, 18], [54, 103, 18], [23, 52, 40]] ------------------------------ Epoch 1606 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.069259 - Iter 024 / 025, Loss: 0.045172 * Train accuracy / confusion: 96.88% / [[348, 3, 2], [13, 248, 5], [0, 2, 179]], * Val accuracy / confusion: 59.62% / [[163, 44, 23], [54, 98, 23], [19, 47, 49]] ------------------------------ Epoch 1607 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024501 - Iter 024 / 025, Loss: 0.054986 * Train accuracy / confusion: 97.00% / [[352, 7, 2], [10, 252, 2], [0, 3, 172]], * Val accuracy / confusion: 58.46% / [[160, 43, 27], [52, 97, 26], [19, 49, 47]] ------------------------------ Epoch 1608 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.025895 - Iter 024 / 025, Loss: 0.245236 * Train accuracy / confusion: 97.00% / [[350, 4, 1], [13, 258, 1], [1, 4, 168]], * Val accuracy / confusion: 57.88% / [[160, 47, 23], [51, 101, 23], [25, 50, 40]] ------------------------------ Epoch 1609 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.103060 - Iter 024 / 025, Loss: 0.131556 * Train accuracy / confusion: 97.25% / [[349, 6, 1], [8, 257, 2], [3, 2, 172]], * Val accuracy / confusion: 55.58% / [[158, 46, 26], [58, 88, 29], [26, 46, 43]] ------------------------------ Epoch 1610 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.026801 - Iter 024 / 025, Loss: 0.009309 * Train accuracy / confusion: 96.75% / [[346, 7, 3], [8, 254, 5], [2, 1, 174]], * Val accuracy / confusion: 59.23% / [[169, 40, 21], [59, 93, 23], [19, 50, 46]] ------------------------------ Epoch 1611 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.111925 - Iter 024 / 025, Loss: 0.054962 * Train accuracy / confusion: 97.50% / [[354, 2, 1], [10, 254, 2], [2, 3, 172]], * Val accuracy / confusion: 55.96% / [[156, 48, 26], [62, 92, 21], [20, 52, 43]] ------------------------------ Epoch 1612 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012047 - Iter 024 / 025, Loss: 0.008227 * Train accuracy / confusion: 97.62% / [[349, 4, 0], [9, 257, 1], [3, 2, 175]], * Val accuracy / confusion: 58.85% / [[164, 43, 23], [55, 94, 26], [21, 46, 48]] ------------------------------ Epoch 1613 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.038574 - Iter 024 / 025, Loss: 0.044705 * Train accuracy / confusion: 97.12% / [[351, 3, 4], [9, 254, 3], [2, 2, 172]], * Val accuracy / confusion: 59.62% / [[162, 49, 19], [42, 105, 28], [21, 51, 43]] ------------------------------ Epoch 1614 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.095726 - Iter 024 / 025, Loss: 0.046364 * Train accuracy / confusion: 97.62% / [[346, 6, 3], [5, 259, 0], [2, 3, 176]], * Val accuracy / confusion: 59.04% / [[163, 43, 24], [58, 98, 19], [24, 45, 46]] ------------------------------ Epoch 1615 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006864 - Iter 024 / 025, Loss: 0.089627 * Train accuracy / confusion: 98.38% / [[352, 1, 2], [6, 262, 3], [0, 1, 173]], * Val accuracy / confusion: 58.08% / [[164, 41, 25], [54, 98, 23], [23, 52, 40]] ------------------------------ Epoch 1616 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.019085 - Iter 024 / 025, Loss: 0.042111 * Train accuracy / confusion: 97.62% / [[357, 5, 1], [7, 253, 2], [0, 4, 171]], * Val accuracy / confusion: 55.96% / [[163, 45, 22], [54, 88, 33], [23, 52, 40]] ------------------------------ Epoch 1617 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.068749 - Iter 024 / 025, Loss: 0.085928 * Train accuracy / confusion: 97.25% / [[351, 6, 1], [9, 253, 3], [3, 0, 174]], * Val accuracy / confusion: 59.62% / [[160, 46, 24], [60, 94, 21], [19, 40, 56]] ------------------------------ Epoch 1618 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.021101 - Iter 024 / 025, Loss: 0.075267 * Train accuracy / confusion: 98.00% / [[349, 3, 0], [10, 256, 2], [0, 1, 179]], * Val accuracy / confusion: 59.42% / [[165, 39, 26], [54, 99, 22], [25, 45, 45]] ------------------------------ Epoch 1619 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.110229 - Iter 024 / 025, Loss: 0.033200 * Train accuracy / confusion: 98.12% / [[353, 3, 1], [5, 257, 3], [1, 2, 175]], * Val accuracy / confusion: 59.81% / [[164, 44, 22], [47, 100, 28], [22, 46, 47]] ------------------------------ Epoch 1620 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.116273 - Iter 024 / 025, Loss: 0.091669 * Train accuracy / confusion: 96.12% / [[348, 6, 4], [12, 253, 3], [4, 2, 168]], * Val accuracy / confusion: 58.27% / [[162, 45, 23], [57, 99, 19], [24, 49, 42]] ------------------------------ Epoch 1621 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.060899 - Iter 024 / 025, Loss: 0.091436 * Train accuracy / confusion: 98.00% / [[348, 5, 1], [4, 264, 0], [3, 3, 172]], * Val accuracy / confusion: 57.12% / [[161, 43, 26], [63, 89, 23], [22, 46, 47]] ------------------------------ Epoch 1622 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.081745 - Iter 024 / 025, Loss: 0.062954 * Train accuracy / confusion: 97.75% / [[350, 5, 1], [6, 255, 3], [2, 1, 177]], * Val accuracy / confusion: 58.65% / [[161, 47, 22], [54, 99, 22], [19, 51, 45]] ------------------------------ Epoch 1623 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.073148 - Iter 024 / 025, Loss: 0.060955 * Train accuracy / confusion: 97.00% / [[350, 7, 2], [10, 254, 1], [4, 0, 172]], * Val accuracy / confusion: 61.54% / [[160, 46, 24], [42, 107, 26], [17, 45, 53]] ------------------------------ Epoch 1624 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013875 - Iter 024 / 025, Loss: 0.124936 * Train accuracy / confusion: 97.12% / [[346, 7, 3], [5, 262, 5], [2, 1, 169]], * Val accuracy / confusion: 57.88% / [[157, 47, 26], [50, 96, 29], [22, 45, 48]] ------------------------------ Epoch 1625 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013768 - Iter 024 / 025, Loss: 0.029838 * Train accuracy / confusion: 97.62% / [[345, 7, 2], [6, 262, 3], [0, 1, 174]], * Val accuracy / confusion: 60.19% / [[168, 36, 26], [49, 98, 28], [23, 45, 47]] ------------------------------ Epoch 1626 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.042986 - Iter 024 / 025, Loss: 0.021637 * Train accuracy / confusion: 96.12% / [[351, 10, 0], [10, 253, 3], [3, 5, 165]], * Val accuracy / confusion: 57.50% / [[161, 43, 26], [60, 91, 24], [20, 48, 47]] ------------------------------ Epoch 1627 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010514 - Iter 024 / 025, Loss: 0.223371 * Train accuracy / confusion: 98.12% / [[347, 3, 1], [7, 259, 3], [1, 0, 179]], * Val accuracy / confusion: 58.46% / [[163, 45, 22], [59, 95, 21], [20, 49, 46]] ------------------------------ Epoch 1628 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.355418 - Iter 024 / 025, Loss: 0.070083 * Train accuracy / confusion: 96.00% / [[350, 4, 4], [16, 249, 3], [3, 2, 169]], * Val accuracy / confusion: 56.92% / [[154, 48, 28], [48, 98, 29], [21, 50, 44]] ------------------------------ Epoch 1629 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.069456 - Iter 024 / 025, Loss: 0.054296 * Train accuracy / confusion: 96.38% / [[348, 4, 2], [11, 253, 4], [3, 5, 170]], * Val accuracy / confusion: 57.12% / [[156, 48, 26], [47, 99, 29], [24, 49, 42]] ------------------------------ Epoch 1630 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.223010 - Iter 024 / 025, Loss: 0.082867 * Train accuracy / confusion: 96.12% / [[346, 7, 5], [8, 256, 2], [4, 5, 167]], * Val accuracy / confusion: 60.38% / [[158, 48, 24], [51, 103, 21], [19, 43, 53]] ------------------------------ Epoch 1631 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.045479 - Iter 024 / 025, Loss: 0.105536 * Train accuracy / confusion: 97.38% / [[350, 9, 1], [5, 257, 3], [2, 1, 172]], * Val accuracy / confusion: 56.73% / [[155, 45, 30], [55, 91, 29], [19, 47, 49]] ------------------------------ Epoch 1632 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.106846 - Iter 024 / 025, Loss: 0.237901 * Train accuracy / confusion: 96.38% / [[346, 8, 1], [16, 252, 0], [4, 0, 173]], * Val accuracy / confusion: 58.08% / [[161, 42, 27], [54, 99, 22], [23, 50, 42]] ------------------------------ Epoch 1633 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.059868 - Iter 024 / 025, Loss: 0.061913 * Train accuracy / confusion: 98.00% / [[355, 3, 2], [3, 264, 0], [4, 4, 165]], * Val accuracy / confusion: 60.00% / [[158, 46, 26], [45, 107, 23], [30, 38, 47]] ------------------------------ Epoch 1634 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016210 - Iter 024 / 025, Loss: 0.187669 * Train accuracy / confusion: 97.25% / [[347, 6, 2], [5, 257, 5], [1, 3, 174]], * Val accuracy / confusion: 59.62% / [[163, 41, 26], [52, 102, 21], [23, 47, 45]] ------------------------------ Epoch 1635 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.082561 - Iter 024 / 025, Loss: 0.048216 * Train accuracy / confusion: 97.12% / [[348, 6, 3], [12, 258, 1], [0, 1, 171]], * Val accuracy / confusion: 56.35% / [[153, 50, 27], [52, 92, 31], [21, 46, 48]] ------------------------------ Epoch 1636 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.112280 - Iter 024 / 025, Loss: 0.026931 * Train accuracy / confusion: 97.50% / [[352, 3, 4], [7, 257, 2], [2, 2, 171]], * Val accuracy / confusion: 59.23% / [[163, 46, 21], [59, 98, 18], [21, 47, 47]] ------------------------------ Epoch 1637 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.076042 - Iter 024 / 025, Loss: 0.126401 * Train accuracy / confusion: 97.88% / [[348, 5, 2], [7, 259, 1], [1, 1, 176]], * Val accuracy / confusion: 57.88% / [[162, 47, 21], [54, 99, 22], [19, 56, 40]] ------------------------------ Epoch 1638 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.062945 - Iter 024 / 025, Loss: 0.005885 * Train accuracy / confusion: 98.00% / [[353, 4, 1], [6, 259, 3], [1, 1, 172]], * Val accuracy / confusion: 57.88% / [[156, 49, 25], [52, 98, 25], [22, 46, 47]] ------------------------------ Epoch 1639 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.036718 - Iter 024 / 025, Loss: 0.044897 * Train accuracy / confusion: 98.88% / [[348, 0, 2], [4, 266, 1], [2, 0, 177]], * Val accuracy / confusion: 59.62% / [[158, 51, 21], [55, 102, 18], [20, 45, 50]] ------------------------------ Epoch 1640 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.026363 - Iter 024 / 025, Loss: 0.043112 * Train accuracy / confusion: 97.25% / [[349, 4, 0], [10, 258, 3], [4, 1, 171]], * Val accuracy / confusion: 60.96% / [[173, 38, 19], [55, 89, 31], [23, 37, 55]] ------------------------------ Epoch 1641 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.078528 - Iter 024 / 025, Loss: 0.157396 * Train accuracy / confusion: 97.25% / [[356, 3, 1], [10, 252, 2], [1, 5, 170]], * Val accuracy / confusion: 56.92% / [[156, 49, 25], [44, 94, 37], [20, 49, 46]] ------------------------------ Epoch 1642 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.045490 - Iter 024 / 025, Loss: 0.024778 * Train accuracy / confusion: 97.88% / [[351, 5, 1], [3, 258, 4], [1, 3, 174]], * Val accuracy / confusion: 58.08% / [[157, 49, 24], [55, 98, 22], [21, 47, 47]] ------------------------------ Epoch 1643 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.045876 - Iter 024 / 025, Loss: 0.141078 * Train accuracy / confusion: 97.00% / [[348, 7, 3], [7, 254, 4], [1, 2, 174]], * Val accuracy / confusion: 58.08% / [[167, 36, 27], [59, 82, 34], [20, 42, 53]] ------------------------------ Epoch 1644 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.088412 - Iter 024 / 025, Loss: 0.028144 * Train accuracy / confusion: 97.12% / [[344, 7, 2], [8, 261, 1], [2, 3, 172]], * Val accuracy / confusion: 57.31% / [[163, 44, 23], [56, 93, 26], [20, 53, 42]] ------------------------------ Epoch 1645 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.082496 - Iter 024 / 025, Loss: 0.094329 * Train accuracy / confusion: 96.88% / [[348, 6, 3], [7, 253, 4], [3, 2, 174]], * Val accuracy / confusion: 59.04% / [[165, 50, 15], [59, 93, 23], [22, 44, 49]] ------------------------------ Epoch 1646 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.034839 - Iter 024 / 025, Loss: 0.016924 * Train accuracy / confusion: 98.25% / [[354, 3, 0], [4, 261, 1], [2, 4, 171]], * Val accuracy / confusion: 60.19% / [[165, 47, 18], [53, 102, 20], [20, 49, 46]] ------------------------------ Epoch 1647 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.038272 - Iter 024 / 025, Loss: 0.036064 * Train accuracy / confusion: 97.75% / [[349, 5, 2], [7, 264, 2], [2, 0, 169]], * Val accuracy / confusion: 58.46% / [[162, 47, 21], [46, 95, 34], [22, 46, 47]] ------------------------------ Epoch 1648 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.066169 - Iter 024 / 025, Loss: 0.146005 * Train accuracy / confusion: 98.38% / [[350, 3, 1], [8, 259, 1], [0, 0, 178]], * Val accuracy / confusion: 59.81% / [[171, 32, 27], [67, 91, 17], [22, 44, 49]] ------------------------------ Epoch 1649 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.052543 - Iter 024 / 025, Loss: 0.048771 * Train accuracy / confusion: 96.75% / [[349, 5, 3], [10, 259, 1], [2, 5, 166]], * Val accuracy / confusion: 56.92% / [[164, 45, 21], [58, 94, 23], [24, 53, 38]] ------------------------------ Epoch 1650 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.094907 - Iter 024 / 025, Loss: 0.015110 * Train accuracy / confusion: 97.38% / [[347, 7, 2], [7, 259, 2], [1, 2, 173]], * Val accuracy / confusion: 55.77% / [[155, 46, 29], [57, 93, 25], [26, 47, 42]] ------------------------------ Epoch 1651 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.199368 - Iter 024 / 025, Loss: 0.089156 * Train accuracy / confusion: 97.12% / [[345, 7, 0], [10, 256, 0], [2, 4, 176]], * Val accuracy / confusion: 58.65% / [[161, 47, 22], [58, 97, 20], [28, 40, 47]] ------------------------------ Epoch 1652 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.026777 - Iter 024 / 025, Loss: 0.028587 * Train accuracy / confusion: 97.50% / [[349, 5, 2], [9, 258, 1], [1, 2, 173]], * Val accuracy / confusion: 58.65% / [[158, 48, 24], [50, 99, 26], [22, 45, 48]] ------------------------------ Epoch 1653 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.046599 - Iter 024 / 025, Loss: 0.120756 * Train accuracy / confusion: 97.38% / [[352, 4, 1], [11, 252, 2], [2, 1, 175]], * Val accuracy / confusion: 59.23% / [[169, 41, 20], [61, 92, 22], [25, 43, 47]] ------------------------------ Epoch 1654 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.117134 - Iter 024 / 025, Loss: 0.117267 * Train accuracy / confusion: 98.00% / [[352, 1, 3], [7, 258, 2], [2, 1, 174]], * Val accuracy / confusion: 58.27% / [[159, 41, 30], [55, 98, 22], [22, 47, 46]] ------------------------------ Epoch 1655 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.043184 - Iter 024 / 025, Loss: 0.142797 * Train accuracy / confusion: 95.88% / [[347, 5, 3], [14, 250, 4], [3, 4, 170]], * Val accuracy / confusion: 58.65% / [[162, 39, 29], [54, 95, 26], [20, 47, 48]] ------------------------------ Epoch 1656 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.047209 - Iter 024 / 025, Loss: 0.009322 * Train accuracy / confusion: 97.88% / [[355, 3, 2], [6, 253, 2], [2, 2, 175]], * Val accuracy / confusion: 60.58% / [[166, 43, 21], [49, 102, 24], [18, 50, 47]] ------------------------------ Epoch 1657 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.032299 - Iter 024 / 025, Loss: 0.071322 * Train accuracy / confusion: 97.75% / [[352, 2, 1], [9, 256, 2], [2, 2, 174]], * Val accuracy / confusion: 59.62% / [[166, 38, 26], [47, 98, 30], [22, 47, 46]] ------------------------------ Epoch 1658 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.062435 - Iter 024 / 025, Loss: 0.039505 * Train accuracy / confusion: 96.38% / [[342, 8, 2], [12, 260, 0], [4, 3, 169]], * Val accuracy / confusion: 58.65% / [[161, 41, 28], [56, 93, 26], [21, 43, 51]] ------------------------------ Epoch 1659 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006839 - Iter 024 / 025, Loss: 0.085370 * Train accuracy / confusion: 97.12% / [[346, 7, 3], [7, 255, 4], [1, 1, 176]], * Val accuracy / confusion: 58.85% / [[156, 49, 25], [54, 101, 20], [21, 45, 49]] ------------------------------ Epoch 1660 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.094404 - Iter 024 / 025, Loss: 0.056687 * Train accuracy / confusion: 98.12% / [[348, 4, 0], [6, 264, 1], [2, 2, 173]], * Val accuracy / confusion: 55.96% / [[153, 54, 23], [51, 95, 29], [25, 47, 43]] ------------------------------ Epoch 1661 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015079 - Iter 024 / 025, Loss: 0.322866 * Train accuracy / confusion: 96.75% / [[347, 7, 2], [10, 255, 1], [2, 4, 172]], * Val accuracy / confusion: 58.85% / [[156, 50, 24], [44, 103, 28], [19, 49, 47]] ------------------------------ Epoch 1662 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.069552 - Iter 024 / 025, Loss: 0.060586 * Train accuracy / confusion: 96.88% / [[348, 7, 3], [11, 255, 0], [1, 3, 172]], * Val accuracy / confusion: 59.62% / [[160, 45, 25], [42, 104, 29], [23, 46, 46]] ------------------------------ Epoch 1663 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.033427 - Iter 024 / 025, Loss: 0.033407 * Train accuracy / confusion: 98.25% / [[349, 4, 2], [3, 265, 0], [1, 4, 172]], * Val accuracy / confusion: 59.81% / [[160, 49, 21], [46, 105, 24], [24, 45, 46]] ------------------------------ Epoch 1664 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.106812 - Iter 024 / 025, Loss: 0.033422 * Train accuracy / confusion: 97.00% / [[345, 7, 2], [7, 258, 3], [3, 2, 173]], * Val accuracy / confusion: 57.50% / [[159, 48, 23], [56, 96, 23], [22, 49, 44]] ------------------------------ Epoch 1665 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.031833 - Iter 024 / 025, Loss: 0.095191 * Train accuracy / confusion: 97.38% / [[346, 6, 1], [8, 262, 2], [2, 2, 171]], * Val accuracy / confusion: 58.08% / [[164, 38, 28], [58, 93, 24], [25, 45, 45]] ------------------------------ Epoch 1666 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.023168 - Iter 024 / 025, Loss: 0.156433 * Train accuracy / confusion: 97.00% / [[347, 5, 1], [5, 258, 5], [2, 6, 171]], * Val accuracy / confusion: 58.65% / [[157, 45, 28], [42, 108, 25], [22, 53, 40]] ------------------------------ Epoch 1667 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.210465 - Iter 024 / 025, Loss: 0.109515 * Train accuracy / confusion: 96.75% / [[350, 7, 2], [11, 253, 2], [3, 1, 171]], * Val accuracy / confusion: 57.50% / [[164, 43, 23], [56, 93, 26], [22, 51, 42]] ------------------------------ Epoch 1668 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006027 - Iter 024 / 025, Loss: 0.021313 * Train accuracy / confusion: 98.12% / [[351, 2, 2], [7, 258, 1], [1, 2, 176]], * Val accuracy / confusion: 59.42% / [[168, 40, 22], [59, 92, 24], [20, 46, 49]] ------------------------------ Epoch 1669 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010882 - Iter 024 / 025, Loss: 0.065223 * Train accuracy / confusion: 97.75% / [[349, 8, 0], [5, 260, 2], [1, 2, 173]], * Val accuracy / confusion: 59.04% / [[166, 38, 26], [53, 94, 28], [24, 44, 47]] ------------------------------ Epoch 1670 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.061884 - Iter 024 / 025, Loss: 0.024270 * Train accuracy / confusion: 98.00% / [[352, 5, 0], [9, 258, 1], [0, 1, 174]], * Val accuracy / confusion: 58.65% / [[166, 40, 24], [57, 100, 18], [21, 55, 39]] ------------------------------ Epoch 1671 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.073295 - Iter 024 / 025, Loss: 0.091679 * Train accuracy / confusion: 96.88% / [[354, 4, 0], [12, 252, 5], [1, 3, 169]], * Val accuracy / confusion: 57.50% / [[158, 51, 21], [53, 97, 25], [30, 41, 44]] ------------------------------ Epoch 1672 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003999 - Iter 024 / 025, Loss: 0.075949 * Train accuracy / confusion: 97.50% / [[346, 7, 0], [6, 263, 2], [1, 4, 171]], * Val accuracy / confusion: 57.69% / [[156, 51, 23], [41, 98, 36], [18, 51, 46]] ------------------------------ Epoch 1673 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.079721 - Iter 024 / 025, Loss: 0.009648 * Train accuracy / confusion: 96.88% / [[348, 10, 1], [9, 255, 2], [1, 2, 172]], * Val accuracy / confusion: 59.04% / [[167, 43, 20], [53, 95, 27], [26, 44, 45]] ------------------------------ Epoch 1674 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013091 - Iter 024 / 025, Loss: 0.074414 * Train accuracy / confusion: 98.12% / [[354, 2, 1], [7, 257, 0], [1, 4, 174]], * Val accuracy / confusion: 58.46% / [[166, 41, 23], [53, 95, 27], [19, 53, 43]] ------------------------------ Epoch 1675 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010703 - Iter 024 / 025, Loss: 0.045114 * Train accuracy / confusion: 97.62% / [[347, 5, 1], [6, 259, 6], [1, 0, 175]], * Val accuracy / confusion: 59.42% / [[158, 46, 26], [48, 103, 24], [24, 43, 48]] ------------------------------ Epoch 1676 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.036417 - Iter 024 / 025, Loss: 0.139637 * Train accuracy / confusion: 97.62% / [[351, 3, 0], [7, 258, 2], [2, 5, 172]], * Val accuracy / confusion: 57.31% / [[164, 45, 21], [69, 92, 14], [23, 50, 42]] ------------------------------ Epoch 1677 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.122231 - Iter 024 / 025, Loss: 0.029925 * Train accuracy / confusion: 96.75% / [[347, 8, 2], [9, 261, 2], [1, 4, 166]], * Val accuracy / confusion: 57.12% / [[166, 40, 24], [59, 91, 25], [27, 48, 40]] ------------------------------ Epoch 1678 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.106983 - Iter 024 / 025, Loss: 0.074417 * Train accuracy / confusion: 96.25% / [[342, 7, 3], [6, 258, 5], [4, 5, 170]], * Val accuracy / confusion: 59.81% / [[162, 40, 28], [55, 94, 26], [23, 37, 55]] ------------------------------ Epoch 1679 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.065267 - Iter 024 / 025, Loss: 0.065825 * Train accuracy / confusion: 97.50% / [[350, 6, 1], [5, 257, 6], [2, 0, 173]], * Val accuracy / confusion: 59.42% / [[163, 45, 22], [56, 100, 19], [23, 46, 46]] ------------------------------ Epoch 1680 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.220251 - Iter 024 / 025, Loss: 0.070221 * Train accuracy / confusion: 97.38% / [[348, 2, 2], [8, 258, 3], [3, 3, 173]], * Val accuracy / confusion: 60.77% / [[172, 40, 18], [55, 90, 30], [27, 34, 54]] ------------------------------ Epoch 1681 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.176137 - Iter 024 / 025, Loss: 0.111560 * Train accuracy / confusion: 96.38% / [[353, 6, 1], [13, 246, 8], [0, 1, 172]], * Val accuracy / confusion: 56.73% / [[156, 46, 28], [58, 92, 25], [30, 38, 47]] ------------------------------ Epoch 1682 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.089896 - Iter 024 / 025, Loss: 0.040064 * Train accuracy / confusion: 97.62% / [[345, 6, 2], [7, 261, 1], [1, 2, 175]], * Val accuracy / confusion: 58.27% / [[160, 49, 21], [57, 99, 19], [23, 48, 44]] ------------------------------ Epoch 1683 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.218302 - Iter 024 / 025, Loss: 0.151244 * Train accuracy / confusion: 97.88% / [[355, 0, 3], [7, 253, 4], [1, 2, 175]], * Val accuracy / confusion: 56.15% / [[156, 44, 30], [62, 90, 23], [22, 47, 46]] ------------------------------ Epoch 1684 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.028286 - Iter 024 / 025, Loss: 0.017942 * Train accuracy / confusion: 97.38% / [[353, 8, 2], [6, 257, 3], [1, 1, 169]], * Val accuracy / confusion: 60.38% / [[165, 45, 20], [52, 97, 26], [22, 41, 52]] ------------------------------ Epoch 1685 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.054872 - Iter 024 / 025, Loss: 0.117149 * Train accuracy / confusion: 96.88% / [[339, 7, 2], [9, 261, 1], [0, 6, 175]], * Val accuracy / confusion: 60.00% / [[162, 43, 25], [53, 98, 24], [23, 40, 52]] ------------------------------ Epoch 1686 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016487 - Iter 024 / 025, Loss: 0.112520 * Train accuracy / confusion: 98.38% / [[349, 4, 2], [3, 267, 0], [4, 0, 171]], * Val accuracy / confusion: 57.31% / [[160, 48, 22], [58, 93, 24], [20, 50, 45]] ------------------------------ Epoch 1687 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.205035 - Iter 024 / 025, Loss: 0.074144 * Train accuracy / confusion: 96.50% / [[343, 8, 3], [10, 256, 3], [1, 3, 173]], * Val accuracy / confusion: 58.08% / [[161, 43, 26], [61, 96, 18], [27, 43, 45]] ------------------------------ Epoch 1688 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013379 - Iter 024 / 025, Loss: 0.025245 * Train accuracy / confusion: 98.38% / [[349, 3, 2], [6, 263, 1], [1, 0, 175]], * Val accuracy / confusion: 59.23% / [[169, 39, 22], [58, 89, 28], [21, 44, 50]] ------------------------------ Epoch 1689 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.109025 - Iter 024 / 025, Loss: 0.009929 * Train accuracy / confusion: 97.00% / [[351, 6, 1], [8, 256, 3], [5, 1, 169]], * Val accuracy / confusion: 60.38% / [[164, 46, 20], [45, 98, 32], [25, 38, 52]] ------------------------------ Epoch 1690 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.029515 - Iter 024 / 025, Loss: 0.018157 * Train accuracy / confusion: 97.62% / [[347, 5, 1], [11, 256, 0], [0, 2, 178]], * Val accuracy / confusion: 58.65% / [[160, 49, 21], [52, 101, 22], [27, 44, 44]] ------------------------------ Epoch 1691 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.080008 - Iter 024 / 025, Loss: 0.020869 * Train accuracy / confusion: 97.00% / [[345, 7, 2], [10, 258, 2], [1, 2, 173]], * Val accuracy / confusion: 57.69% / [[163, 43, 24], [55, 92, 28], [19, 51, 45]] ------------------------------ Epoch 1692 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.042419 - Iter 024 / 025, Loss: 0.142395 * Train accuracy / confusion: 96.12% / [[344, 5, 2], [7, 256, 7], [6, 4, 169]], * Val accuracy / confusion: 60.19% / [[163, 45, 22], [57, 98, 20], [21, 42, 52]] ------------------------------ Epoch 1693 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.039595 - Iter 024 / 025, Loss: 0.048507 * Train accuracy / confusion: 97.75% / [[355, 4, 1], [8, 258, 2], [0, 3, 169]], * Val accuracy / confusion: 57.69% / [[157, 41, 32], [55, 94, 26], [24, 42, 49]] ------------------------------ Epoch 1694 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.049621 - Iter 024 / 025, Loss: 0.004379 * Train accuracy / confusion: 97.25% / [[350, 6, 1], [4, 257, 6], [2, 3, 171]], * Val accuracy / confusion: 59.62% / [[164, 48, 18], [53, 101, 21], [23, 47, 45]] ------------------------------ Epoch 1695 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.021061 - Iter 024 / 025, Loss: 0.216477 * Train accuracy / confusion: 97.12% / [[344, 7, 0], [13, 259, 0], [2, 1, 174]], * Val accuracy / confusion: 59.04% / [[159, 41, 30], [44, 105, 26], [26, 46, 43]] ------------------------------ Epoch 1696 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.085472 - Iter 024 / 025, Loss: 0.077323 * Train accuracy / confusion: 97.88% / [[346, 7, 0], [7, 259, 2], [1, 0, 178]], * Val accuracy / confusion: 58.27% / [[157, 44, 29], [62, 96, 17], [21, 44, 50]] ------------------------------ Epoch 1697 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.108528 - Iter 024 / 025, Loss: 0.036909 * Train accuracy / confusion: 97.50% / [[346, 8, 0], [4, 263, 3], [3, 2, 171]], * Val accuracy / confusion: 60.58% / [[169, 39, 22], [46, 102, 27], [24, 47, 44]] ------------------------------ Epoch 1698 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.253064 - Iter 024 / 025, Loss: 0.151266 * Train accuracy / confusion: 97.00% / [[348, 5, 3], [9, 256, 3], [1, 3, 172]], * Val accuracy / confusion: 59.62% / [[151, 55, 24], [35, 108, 32], [22, 42, 51]] ------------------------------ Epoch 1699 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.178436 - Iter 024 / 025, Loss: 0.037482 * Train accuracy / confusion: 97.25% / [[354, 6, 2], [8, 257, 3], [0, 3, 167]], * Val accuracy / confusion: 59.81% / [[164, 41, 25], [45, 95, 35], [21, 42, 52]] ------------------------------ Epoch 1700 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.048405 - Iter 024 / 025, Loss: 0.043496 * Train accuracy / confusion: 97.00% / [[348, 5, 1], [9, 255, 4], [4, 1, 173]], * Val accuracy / confusion: 59.62% / [[171, 39, 20], [57, 97, 21], [22, 51, 42]] ------------------------------ Epoch 1701 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.064945 - Iter 024 / 025, Loss: 0.020348 * Train accuracy / confusion: 97.62% / [[348, 4, 3], [5, 261, 1], [3, 3, 172]], * Val accuracy / confusion: 60.58% / [[161, 50, 19], [51, 108, 16], [22, 47, 46]] ------------------------------ Epoch 1702 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.079160 - Iter 024 / 025, Loss: 0.120556 * Train accuracy / confusion: 97.25% / [[351, 2, 5], [6, 256, 3], [3, 3, 171]], * Val accuracy / confusion: 60.77% / [[172, 33, 25], [55, 99, 21], [27, 43, 45]] ------------------------------ Epoch 1703 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.057967 - Iter 024 / 025, Loss: 0.122475 * Train accuracy / confusion: 97.25% / [[352, 5, 2], [5, 255, 4], [5, 1, 171]], * Val accuracy / confusion: 59.23% / [[167, 44, 19], [51, 97, 27], [22, 49, 44]] ------------------------------ Epoch 1704 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.028378 - Iter 024 / 025, Loss: 0.088100 * Train accuracy / confusion: 97.00% / [[351, 0, 5], [13, 252, 2], [1, 3, 173]], * Val accuracy / confusion: 58.65% / [[158, 46, 26], [50, 101, 24], [21, 48, 46]] ------------------------------ Epoch 1705 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.081341 - Iter 024 / 025, Loss: 0.008088 * Train accuracy / confusion: 96.62% / [[344, 7, 3], [9, 259, 2], [2, 4, 170]], * Val accuracy / confusion: 58.85% / [[165, 49, 16], [53, 100, 22], [21, 53, 41]] ------------------------------ Epoch 1706 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.137533 - Iter 024 / 025, Loss: 0.126239 * Train accuracy / confusion: 97.25% / [[350, 11, 1], [3, 259, 2], [3, 2, 169]], * Val accuracy / confusion: 60.77% / [[170, 42, 18], [52, 104, 19], [24, 49, 42]] ------------------------------ Epoch 1707 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.435558 - Iter 024 / 025, Loss: 0.009392 * Train accuracy / confusion: 96.75% / [[348, 3, 4], [12, 256, 1], [3, 3, 170]], * Val accuracy / confusion: 59.81% / [[162, 38, 30], [52, 102, 21], [23, 45, 47]] ------------------------------ Epoch 1708 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.053490 - Iter 024 / 025, Loss: 0.106570 * Train accuracy / confusion: 97.00% / [[344, 9, 2], [7, 259, 2], [2, 2, 173]], * Val accuracy / confusion: 56.54% / [[162, 40, 28], [53, 87, 35], [25, 45, 45]] ------------------------------ Epoch 1709 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.039610 - Iter 024 / 025, Loss: 0.076993 * Train accuracy / confusion: 97.75% / [[349, 5, 0], [7, 258, 1], [1, 4, 175]], * Val accuracy / confusion: 57.12% / [[155, 48, 27], [53, 98, 24], [21, 50, 44]] ------------------------------ Epoch 1710 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.019343 - Iter 024 / 025, Loss: 0.105028 * Train accuracy / confusion: 97.12% / [[351, 4, 3], [9, 255, 2], [3, 2, 171]], * Val accuracy / confusion: 58.65% / [[159, 50, 21], [52, 99, 24], [22, 46, 47]] ------------------------------ Epoch 1711 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006908 - Iter 024 / 025, Loss: 0.027270 * Train accuracy / confusion: 98.00% / [[352, 4, 1], [5, 261, 3], [0, 3, 171]], * Val accuracy / confusion: 56.54% / [[154, 58, 18], [50, 94, 31], [23, 46, 46]] ------------------------------ Epoch 1712 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011576 - Iter 024 / 025, Loss: 0.260711 * Train accuracy / confusion: 97.50% / [[351, 5, 1], [8, 259, 1], [2, 3, 170]], * Val accuracy / confusion: 60.96% / [[167, 41, 22], [48, 103, 24], [28, 40, 47]] ------------------------------ Epoch 1713 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.028136 - Iter 024 / 025, Loss: 0.151386 * Train accuracy / confusion: 97.38% / [[348, 9, 0], [7, 260, 1], [2, 2, 171]], * Val accuracy / confusion: 61.35% / [[165, 43, 22], [46, 106, 23], [26, 41, 48]] ------------------------------ Epoch 1714 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.053506 - Iter 024 / 025, Loss: 0.149074 * Train accuracy / confusion: 97.12% / [[349, 5, 2], [7, 262, 3], [5, 1, 166]], * Val accuracy / confusion: 59.04% / [[159, 48, 23], [46, 104, 25], [19, 52, 44]] ------------------------------ Epoch 1715 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.265262 - Iter 024 / 025, Loss: 0.083143 * Train accuracy / confusion: 97.12% / [[349, 6, 1], [8, 257, 2], [5, 1, 171]], * Val accuracy / confusion: 59.23% / [[161, 45, 24], [53, 101, 21], [25, 44, 46]] ------------------------------ Epoch 1716 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.047095 - Iter 024 / 025, Loss: 0.046499 * Train accuracy / confusion: 97.50% / [[349, 4, 0], [9, 256, 4], [0, 3, 175]], * Val accuracy / confusion: 59.62% / [[159, 48, 23], [54, 98, 23], [24, 38, 53]] ------------------------------ Epoch 1717 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015239 - Iter 024 / 025, Loss: 0.051586 * Train accuracy / confusion: 98.00% / [[349, 2, 1], [5, 265, 1], [4, 3, 170]], * Val accuracy / confusion: 61.15% / [[161, 47, 22], [49, 111, 15], [20, 49, 46]] ------------------------------ Epoch 1718 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020024 - Iter 024 / 025, Loss: 0.140661 * Train accuracy / confusion: 97.12% / [[346, 8, 4], [8, 258, 3], [0, 0, 173]], * Val accuracy / confusion: 58.65% / [[167, 38, 25], [57, 90, 28], [19, 48, 48]] ------------------------------ Epoch 1719 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.067963 - Iter 024 / 025, Loss: 0.100991 * Train accuracy / confusion: 97.62% / [[354, 6, 0], [8, 258, 2], [1, 2, 169]], * Val accuracy / confusion: 57.12% / [[154, 49, 27], [47, 100, 28], [22, 50, 43]] ------------------------------ Epoch 1720 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.075187 - Iter 024 / 025, Loss: 0.011375 * Train accuracy / confusion: 97.12% / [[355, 4, 1], [5, 254, 4], [5, 4, 168]], * Val accuracy / confusion: 59.04% / [[164, 41, 25], [63, 99, 13], [25, 46, 44]] ------------------------------ Epoch 1721 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.047913 - Iter 024 / 025, Loss: 0.101627 * Train accuracy / confusion: 97.50% / [[346, 7, 2], [6, 260, 2], [1, 2, 174]], * Val accuracy / confusion: 58.27% / [[164, 40, 26], [55, 96, 24], [23, 49, 43]] ------------------------------ Epoch 1722 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.132191 - Iter 024 / 025, Loss: 0.041926 * Train accuracy / confusion: 98.62% / [[354, 3, 1], [5, 260, 1], [1, 0, 175]], * Val accuracy / confusion: 61.92% / [[163, 42, 25], [43, 104, 28], [20, 40, 55]] ------------------------------ Epoch 1723 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.070344 - Iter 024 / 025, Loss: 0.138085 * Train accuracy / confusion: 96.50% / [[347, 11, 4], [6, 262, 0], [5, 2, 163]], * Val accuracy / confusion: 59.23% / [[168, 38, 24], [59, 92, 24], [30, 37, 48]] ------------------------------ Epoch 1724 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.042326 - Iter 024 / 025, Loss: 0.004369 * Train accuracy / confusion: 97.50% / [[343, 6, 1], [7, 264, 1], [1, 4, 173]], * Val accuracy / confusion: 55.77% / [[158, 41, 31], [49, 89, 37], [22, 50, 43]] ------------------------------ Epoch 1725 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.118060 - Iter 024 / 025, Loss: 0.019888 * Train accuracy / confusion: 97.38% / [[346, 9, 1], [9, 259, 1], [1, 0, 174]], * Val accuracy / confusion: 60.00% / [[170, 42, 18], [49, 96, 30], [23, 46, 46]] ------------------------------ Epoch 1726 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.131804 - Iter 024 / 025, Loss: 0.007051 * Train accuracy / confusion: 97.25% / [[344, 8, 3], [4, 262, 2], [2, 3, 172]], * Val accuracy / confusion: 58.65% / [[164, 46, 20], [50, 100, 25], [30, 44, 41]] ------------------------------ Epoch 1727 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.192799 - Iter 024 / 025, Loss: 0.049740 * Train accuracy / confusion: 97.62% / [[349, 4, 1], [5, 262, 2], [1, 6, 170]], * Val accuracy / confusion: 57.50% / [[160, 41, 29], [56, 94, 25], [23, 47, 45]] ------------------------------ Epoch 1728 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007105 - Iter 024 / 025, Loss: 0.053197 * Train accuracy / confusion: 96.88% / [[350, 6, 3], [9, 255, 5], [0, 2, 170]], * Val accuracy / confusion: 58.46% / [[162, 48, 20], [54, 97, 24], [17, 53, 45]] ------------------------------ Epoch 1729 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015507 - Iter 024 / 025, Loss: 0.023328 * Train accuracy / confusion: 97.75% / [[347, 5, 2], [10, 257, 0], [0, 1, 178]], * Val accuracy / confusion: 57.12% / [[160, 49, 21], [63, 94, 18], [25, 47, 43]] ------------------------------ Epoch 1730 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.036916 - Iter 024 / 025, Loss: 0.032713 * Train accuracy / confusion: 98.00% / [[352, 3, 3], [5, 259, 3], [1, 1, 173]], * Val accuracy / confusion: 55.38% / [[160, 47, 23], [62, 91, 22], [26, 52, 37]] ------------------------------ Epoch 1731 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015957 - Iter 024 / 025, Loss: 0.173399 * Train accuracy / confusion: 97.38% / [[351, 2, 2], [6, 259, 4], [2, 5, 169]], * Val accuracy / confusion: 57.50% / [[159, 50, 21], [44, 98, 33], [21, 52, 42]] ------------------------------ Epoch 1732 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012523 - Iter 024 / 025, Loss: 0.008324 * Train accuracy / confusion: 97.25% / [[347, 7, 3], [5, 259, 2], [1, 4, 172]], * Val accuracy / confusion: 58.85% / [[164, 42, 24], [54, 91, 30], [23, 41, 51]] ------------------------------ Epoch 1733 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.056284 - Iter 024 / 025, Loss: 0.070230 * Train accuracy / confusion: 97.00% / [[343, 9, 3], [5, 261, 2], [2, 3, 172]], * Val accuracy / confusion: 55.96% / [[163, 44, 23], [55, 86, 34], [26, 47, 42]] ------------------------------ Epoch 1734 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.045569 - Iter 024 / 025, Loss: 0.035921 * Train accuracy / confusion: 97.62% / [[346, 6, 0], [5, 263, 4], [3, 1, 172]], * Val accuracy / confusion: 56.73% / [[159, 47, 24], [58, 88, 29], [22, 45, 48]] ------------------------------ Epoch 1735 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.042675 - Iter 024 / 025, Loss: 0.011033 * Train accuracy / confusion: 97.12% / [[351, 3, 2], [9, 256, 1], [4, 4, 170]], * Val accuracy / confusion: 57.31% / [[164, 46, 20], [59, 93, 23], [31, 43, 41]] ------------------------------ Epoch 1736 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.047713 - Iter 024 / 025, Loss: 0.092672 * Train accuracy / confusion: 96.75% / [[346, 7, 4], [5, 257, 5], [3, 2, 171]], * Val accuracy / confusion: 57.50% / [[158, 40, 32], [56, 98, 21], [22, 50, 43]] ------------------------------ Epoch 1737 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.082671 - Iter 024 / 025, Loss: 0.016106 * Train accuracy / confusion: 98.00% / [[353, 6, 0], [3, 261, 0], [4, 3, 170]], * Val accuracy / confusion: 59.04% / [[161, 49, 20], [51, 98, 26], [19, 48, 48]] ------------------------------ Epoch 1738 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.019704 - Iter 024 / 025, Loss: 0.083466 * Train accuracy / confusion: 96.62% / [[343, 6, 3], [8, 262, 3], [4, 3, 168]], * Val accuracy / confusion: 57.50% / [[167, 39, 24], [60, 85, 30], [26, 42, 47]] ------------------------------ Epoch 1739 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.027713 - Iter 024 / 025, Loss: 0.014559 * Train accuracy / confusion: 97.62% / [[350, 6, 0], [8, 261, 0], [4, 1, 170]], * Val accuracy / confusion: 57.31% / [[161, 46, 23], [55, 92, 28], [19, 51, 45]] ------------------------------ Epoch 1740 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.022680 - Iter 024 / 025, Loss: 0.061130 * Train accuracy / confusion: 96.38% / [[341, 10, 2], [10, 258, 0], [4, 3, 172]], * Val accuracy / confusion: 57.50% / [[160, 45, 25], [60, 94, 21], [24, 46, 45]] ------------------------------ Epoch 1741 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.048429 - Iter 024 / 025, Loss: 0.035601 * Train accuracy / confusion: 97.62% / [[348, 4, 1], [7, 262, 3], [3, 1, 171]], * Val accuracy / confusion: 60.58% / [[163, 40, 27], [54, 98, 23], [22, 39, 54]] ------------------------------ Epoch 1742 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.137227 - Iter 024 / 025, Loss: 0.035435 * Train accuracy / confusion: 96.62% / [[338, 4, 4], [12, 258, 3], [4, 0, 177]], * Val accuracy / confusion: 62.12% / [[162, 49, 19], [48, 109, 18], [18, 45, 52]] ------------------------------ Epoch 1743 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.200253 - Iter 024 / 025, Loss: 0.077840 * Train accuracy / confusion: 97.25% / [[349, 5, 2], [5, 256, 5], [3, 2, 173]], * Val accuracy / confusion: 60.58% / [[160, 46, 24], [49, 99, 27], [18, 41, 56]] ------------------------------ Epoch 1744 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.105276 - Iter 024 / 025, Loss: 0.109910 * Train accuracy / confusion: 98.00% / [[350, 5, 2], [3, 261, 2], [4, 0, 173]], * Val accuracy / confusion: 58.46% / [[159, 49, 22], [50, 92, 33], [19, 43, 53]] ------------------------------ Epoch 1745 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.033390 - Iter 024 / 025, Loss: 0.007381 * Train accuracy / confusion: 98.00% / [[352, 4, 1], [6, 260, 0], [3, 2, 172]], * Val accuracy / confusion: 57.69% / [[160, 46, 24], [54, 92, 29], [20, 47, 48]] ------------------------------ Epoch 1746 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.026390 - Iter 024 / 025, Loss: 0.003415 * Train accuracy / confusion: 98.00% / [[348, 3, 1], [8, 261, 1], [1, 2, 175]], * Val accuracy / confusion: 58.46% / [[161, 42, 27], [51, 96, 28], [26, 42, 47]] ------------------------------ Epoch 1747 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.028522 - Iter 024 / 025, Loss: 0.015115 * Train accuracy / confusion: 96.88% / [[348, 5, 2], [7, 256, 3], [1, 7, 171]], * Val accuracy / confusion: 58.27% / [[158, 47, 25], [47, 95, 33], [21, 44, 50]] ------------------------------ Epoch 1748 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.095721 - Iter 024 / 025, Loss: 0.044540 * Train accuracy / confusion: 98.25% / [[346, 1, 5], [3, 266, 1], [2, 2, 174]], * Val accuracy / confusion: 57.31% / [[158, 47, 25], [51, 98, 26], [29, 44, 42]] ------------------------------ Epoch 1749 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013364 - Iter 024 / 025, Loss: 0.107269 * Train accuracy / confusion: 98.38% / [[352, 4, 0], [9, 259, 0], [0, 0, 176]], * Val accuracy / confusion: 56.92% / [[153, 55, 22], [56, 98, 21], [25, 45, 45]] ------------------------------ Epoch 1750 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020141 - Iter 024 / 025, Loss: 0.049612 * Train accuracy / confusion: 97.75% / [[354, 5, 1], [6, 260, 4], [0, 2, 168]], * Val accuracy / confusion: 58.46% / [[167, 40, 23], [60, 94, 21], [22, 50, 43]] ------------------------------ Epoch 1751 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.029967 - Iter 024 / 025, Loss: 0.008054 * Train accuracy / confusion: 98.00% / [[350, 2, 1], [7, 258, 2], [3, 1, 176]], * Val accuracy / confusion: 57.88% / [[154, 55, 21], [49, 104, 22], [16, 56, 43]] ------------------------------ Epoch 1752 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.056694 - Iter 024 / 025, Loss: 0.196201 * Train accuracy / confusion: 97.88% / [[350, 3, 0], [8, 257, 3], [3, 0, 176]], * Val accuracy / confusion: 58.46% / [[159, 46, 25], [53, 101, 21], [25, 46, 44]] ------------------------------ Epoch 1753 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.062154 - Iter 024 / 025, Loss: 0.021873 * Train accuracy / confusion: 97.00% / [[344, 6, 1], [11, 261, 0], [4, 2, 171]], * Val accuracy / confusion: 56.92% / [[162, 47, 21], [59, 88, 28], [27, 42, 46]] ------------------------------ Epoch 1754 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.383436 - Iter 024 / 025, Loss: 0.034927 * Train accuracy / confusion: 96.12% / [[341, 12, 4], [8, 259, 4], [1, 2, 169]], * Val accuracy / confusion: 58.46% / [[159, 49, 22], [53, 101, 21], [20, 51, 44]] ------------------------------ Epoch 1755 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.186884 - Iter 024 / 025, Loss: 0.042015 * Train accuracy / confusion: 97.62% / [[348, 5, 0], [6, 260, 2], [3, 3, 173]], * Val accuracy / confusion: 58.08% / [[169, 36, 25], [63, 88, 24], [24, 46, 45]] ------------------------------ Epoch 1756 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.107600 - Iter 024 / 025, Loss: 0.182772 * Train accuracy / confusion: 98.00% / [[350, 4, 2], [5, 263, 2], [1, 2, 171]], * Val accuracy / confusion: 59.81% / [[165, 38, 27], [47, 98, 30], [22, 45, 48]] ------------------------------ Epoch 1757 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010884 - Iter 024 / 025, Loss: 0.062962 * Train accuracy / confusion: 97.88% / [[353, 4, 0], [8, 257, 3], [0, 2, 173]], * Val accuracy / confusion: 57.50% / [[157, 48, 25], [62, 97, 16], [25, 45, 45]] ------------------------------ Epoch 1758 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.049208 - Iter 024 / 025, Loss: 0.080536 * Train accuracy / confusion: 97.25% / [[348, 7, 1], [7, 259, 4], [1, 2, 171]], * Val accuracy / confusion: 61.35% / [[167, 48, 15], [53, 99, 23], [22, 40, 53]] ------------------------------ Epoch 1759 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.034675 - Iter 024 / 025, Loss: 0.169429 * Train accuracy / confusion: 96.88% / [[349, 5, 2], [11, 253, 2], [2, 3, 173]], * Val accuracy / confusion: 56.54% / [[162, 48, 20], [53, 93, 29], [24, 52, 39]] ------------------------------ Epoch 1760 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.103465 - Iter 024 / 025, Loss: 0.038347 * Train accuracy / confusion: 97.00% / [[354, 4, 0], [11, 253, 4], [2, 3, 169]], * Val accuracy / confusion: 59.81% / [[165, 42, 23], [57, 96, 22], [18, 47, 50]] ------------------------------ Epoch 1761 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.067498 - Iter 024 / 025, Loss: 0.044456 * Train accuracy / confusion: 97.50% / [[352, 3, 2], [9, 254, 2], [1, 3, 174]], * Val accuracy / confusion: 59.81% / [[166, 39, 25], [45, 103, 27], [23, 50, 42]] ------------------------------ Epoch 1762 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.389890 - Iter 024 / 025, Loss: 0.034590 * Train accuracy / confusion: 96.50% / [[346, 6, 2], [14, 256, 1], [3, 2, 170]], * Val accuracy / confusion: 58.27% / [[160, 44, 26], [52, 99, 24], [27, 44, 44]] ------------------------------ Epoch 1763 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.100185 - Iter 024 / 025, Loss: 0.018597 * Train accuracy / confusion: 97.12% / [[346, 7, 0], [8, 256, 5], [2, 1, 175]], * Val accuracy / confusion: 55.58% / [[158, 45, 27], [61, 84, 30], [23, 45, 47]] ------------------------------ Epoch 1764 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.017615 - Iter 024 / 025, Loss: 0.035629 * Train accuracy / confusion: 96.62% / [[345, 9, 3], [8, 258, 1], [3, 3, 170]], * Val accuracy / confusion: 59.04% / [[162, 42, 26], [50, 99, 26], [20, 49, 46]] ------------------------------ Epoch 1765 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007253 - Iter 024 / 025, Loss: 0.027968 * Train accuracy / confusion: 98.00% / [[346, 3, 1], [4, 260, 6], [1, 1, 178]], * Val accuracy / confusion: 58.27% / [[163, 44, 23], [53, 91, 31], [24, 42, 49]] ------------------------------ Epoch 1766 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.090633 - Iter 024 / 025, Loss: 0.089501 * Train accuracy / confusion: 98.25% / [[355, 1, 1], [5, 258, 5], [2, 0, 173]], * Val accuracy / confusion: 57.69% / [[155, 45, 30], [50, 98, 27], [19, 49, 47]] ------------------------------ Epoch 1767 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.008480 - Iter 024 / 025, Loss: 0.032230 * Train accuracy / confusion: 97.50% / [[356, 4, 1], [6, 256, 5], [2, 2, 168]], * Val accuracy / confusion: 57.31% / [[157, 48, 25], [56, 97, 22], [27, 44, 44]] ------------------------------ Epoch 1768 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.106346 - Iter 024 / 025, Loss: 0.012544 * Train accuracy / confusion: 96.62% / [[344, 8, 2], [10, 258, 3], [2, 2, 171]], * Val accuracy / confusion: 61.15% / [[166, 43, 21], [56, 101, 18], [19, 45, 51]] ------------------------------ Epoch 1769 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013877 - Iter 024 / 025, Loss: 0.056160 * Train accuracy / confusion: 97.12% / [[351, 7, 0], [9, 253, 3], [4, 0, 173]], * Val accuracy / confusion: 58.46% / [[162, 44, 24], [50, 96, 29], [23, 46, 46]] ------------------------------ Epoch 1770 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.043284 - Iter 024 / 025, Loss: 0.039475 * Train accuracy / confusion: 95.88% / [[341, 15, 2], [5, 261, 2], [2, 7, 165]], * Val accuracy / confusion: 56.92% / [[163, 41, 26], [55, 87, 33], [22, 47, 46]] ------------------------------ Epoch 1771 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.071495 - Iter 024 / 025, Loss: 0.445076 * Train accuracy / confusion: 97.12% / [[351, 5, 1], [13, 255, 0], [2, 2, 171]], * Val accuracy / confusion: 57.88% / [[156, 41, 33], [53, 103, 19], [24, 49, 42]] ------------------------------ Epoch 1772 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.036059 - Iter 024 / 025, Loss: 0.170074 * Train accuracy / confusion: 96.88% / [[347, 7, 3], [9, 259, 2], [2, 2, 169]], * Val accuracy / confusion: 57.50% / [[168, 37, 25], [67, 87, 21], [27, 44, 44]] ------------------------------ Epoch 1773 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.017677 - Iter 024 / 025, Loss: 0.051288 * Train accuracy / confusion: 97.12% / [[345, 9, 2], [4, 263, 1], [3, 4, 169]], * Val accuracy / confusion: 60.96% / [[167, 42, 21], [60, 100, 15], [22, 43, 50]] ------------------------------ Epoch 1774 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.228443 - Iter 024 / 025, Loss: 0.200894 * Train accuracy / confusion: 96.62% / [[349, 8, 2], [12, 251, 4], [1, 0, 173]], * Val accuracy / confusion: 58.46% / [[156, 47, 27], [54, 98, 23], [19, 46, 50]] ------------------------------ Epoch 1775 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.115018 - Iter 024 / 025, Loss: 0.086062 * Train accuracy / confusion: 97.12% / [[347, 5, 2], [7, 258, 3], [4, 2, 172]], * Val accuracy / confusion: 60.77% / [[163, 42, 25], [48, 104, 23], [20, 46, 49]] ------------------------------ Epoch 1776 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.031286 - Iter 024 / 025, Loss: 0.300621 * Train accuracy / confusion: 96.75% / [[350, 8, 1], [11, 253, 1], [2, 3, 171]], * Val accuracy / confusion: 58.65% / [[162, 41, 27], [55, 92, 28], [26, 38, 51]] ------------------------------ Epoch 1777 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.129180 - Iter 024 / 025, Loss: 0.075230 * Train accuracy / confusion: 97.50% / [[351, 5, 2], [7, 254, 4], [1, 1, 175]], * Val accuracy / confusion: 57.50% / [[155, 49, 26], [53, 103, 19], [23, 51, 41]] ------------------------------ Epoch 1778 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018769 - Iter 024 / 025, Loss: 0.028486 * Train accuracy / confusion: 96.75% / [[345, 7, 4], [11, 252, 2], [1, 1, 177]], * Val accuracy / confusion: 58.65% / [[167, 40, 23], [62, 90, 23], [20, 47, 48]] ------------------------------ Epoch 1779 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.191427 - Iter 024 / 025, Loss: 0.053725 * Train accuracy / confusion: 97.38% / [[353, 2, 1], [11, 257, 1], [4, 2, 169]], * Val accuracy / confusion: 57.88% / [[158, 47, 25], [55, 97, 23], [24, 45, 46]] ------------------------------ Epoch 1780 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.038266 - Iter 024 / 025, Loss: 0.054199 * Train accuracy / confusion: 97.25% / [[352, 5, 2], [9, 260, 3], [0, 3, 166]], * Val accuracy / confusion: 58.85% / [[165, 42, 23], [59, 99, 17], [24, 49, 42]] ------------------------------ Epoch 1781 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.022303 - Iter 024 / 025, Loss: 0.186336 * Train accuracy / confusion: 98.88% / [[352, 4, 0], [5, 262, 0], [0, 0, 177]], * Val accuracy / confusion: 59.23% / [[159, 49, 22], [50, 101, 24], [26, 41, 48]] ------------------------------ Epoch 1782 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.040995 - Iter 024 / 025, Loss: 0.185629 * Train accuracy / confusion: 98.12% / [[348, 2, 1], [5, 264, 2], [1, 4, 173]], * Val accuracy / confusion: 58.46% / [[168, 42, 20], [61, 92, 22], [18, 53, 44]] ------------------------------ Epoch 1783 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.035773 - Iter 024 / 025, Loss: 0.012113 * Train accuracy / confusion: 97.75% / [[352, 5, 1], [7, 257, 1], [2, 2, 173]], * Val accuracy / confusion: 59.04% / [[159, 44, 27], [55, 100, 20], [20, 47, 48]] ------------------------------ Epoch 1784 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.030136 - Iter 024 / 025, Loss: 0.012768 * Train accuracy / confusion: 98.00% / [[350, 2, 1], [8, 263, 0], [4, 1, 171]], * Val accuracy / confusion: 59.23% / [[163, 46, 21], [55, 97, 23], [26, 41, 48]] ------------------------------ Epoch 1785 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.216987 - Iter 024 / 025, Loss: 0.010325 * Train accuracy / confusion: 97.62% / [[347, 7, 1], [3, 264, 2], [1, 5, 170]], * Val accuracy / confusion: 58.08% / [[156, 50, 24], [50, 96, 29], [23, 42, 50]] ------------------------------ Epoch 1786 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.112143 - Iter 024 / 025, Loss: 0.059743 * Train accuracy / confusion: 97.38% / [[353, 2, 2], [10, 261, 1], [2, 4, 165]], * Val accuracy / confusion: 58.85% / [[157, 39, 34], [53, 101, 21], [25, 42, 48]] ------------------------------ Epoch 1787 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.019816 - Iter 024 / 025, Loss: 0.017568 * Train accuracy / confusion: 97.25% / [[349, 7, 1], [6, 257, 4], [3, 1, 172]], * Val accuracy / confusion: 58.27% / [[152, 46, 32], [45, 105, 25], [28, 41, 46]] ------------------------------ Epoch 1788 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018837 - Iter 024 / 025, Loss: 0.155948 * Train accuracy / confusion: 97.62% / [[344, 7, 0], [6, 265, 2], [2, 2, 172]], * Val accuracy / confusion: 59.42% / [[166, 37, 27], [56, 97, 22], [25, 44, 46]] ------------------------------ Epoch 1789 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015060 - Iter 024 / 025, Loss: 0.279757 * Train accuracy / confusion: 96.12% / [[348, 6, 2], [10, 251, 5], [4, 4, 170]], * Val accuracy / confusion: 58.85% / [[166, 40, 24], [56, 98, 21], [23, 50, 42]] ------------------------------ Epoch 1790 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.021236 - Iter 024 / 025, Loss: 0.147668 * Train accuracy / confusion: 96.62% / [[342, 11, 0], [5, 260, 5], [1, 5, 171]], * Val accuracy / confusion: 57.31% / [[157, 44, 29], [56, 93, 26], [22, 45, 48]] ------------------------------ Epoch 1791 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.078615 - Iter 024 / 025, Loss: 0.160729 * Train accuracy / confusion: 97.00% / [[347, 3, 3], [12, 255, 1], [3, 2, 174]], * Val accuracy / confusion: 58.27% / [[163, 41, 26], [48, 100, 27], [24, 51, 40]] ------------------------------ Epoch 1792 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.035677 - Iter 024 / 025, Loss: 0.089362 * Train accuracy / confusion: 97.88% / [[351, 2, 1], [7, 260, 2], [2, 3, 172]], * Val accuracy / confusion: 58.65% / [[163, 40, 27], [54, 95, 26], [21, 47, 47]] ------------------------------ Epoch 1793 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.030415 - Iter 024 / 025, Loss: 0.068465 * Train accuracy / confusion: 97.75% / [[356, 4, 2], [8, 249, 3], [0, 1, 177]], * Val accuracy / confusion: 55.96% / [[150, 48, 32], [49, 97, 29], [23, 48, 44]] ------------------------------ Epoch 1794 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010646 - Iter 024 / 025, Loss: 0.009676 * Train accuracy / confusion: 97.75% / [[352, 5, 0], [7, 258, 3], [2, 1, 172]], * Val accuracy / confusion: 58.65% / [[165, 50, 15], [58, 95, 22], [22, 48, 45]] ------------------------------ Epoch 1795 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.069735 - Iter 024 / 025, Loss: 0.011758 * Train accuracy / confusion: 97.50% / [[345, 4, 1], [9, 264, 2], [2, 2, 171]], * Val accuracy / confusion: 59.62% / [[165, 42, 23], [53, 99, 23], [27, 42, 46]] ------------------------------ Epoch 1796 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.042931 - Iter 024 / 025, Loss: 0.024032 * Train accuracy / confusion: 97.75% / [[352, 4, 1], [8, 254, 3], [1, 1, 176]], * Val accuracy / confusion: 59.62% / [[159, 49, 22], [47, 105, 23], [20, 49, 46]] ------------------------------ Epoch 1797 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.104562 - Iter 024 / 025, Loss: 0.023862 * Train accuracy / confusion: 97.38% / [[354, 4, 0], [11, 256, 2], [3, 1, 169]], * Val accuracy / confusion: 57.50% / [[157, 47, 26], [52, 101, 22], [25, 49, 41]] ------------------------------ Epoch 1798 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.014083 - Iter 024 / 025, Loss: 0.582105 * Train accuracy / confusion: 96.12% / [[346, 5, 6], [7, 252, 4], [4, 5, 171]], * Val accuracy / confusion: 59.04% / [[158, 48, 24], [51, 101, 23], [23, 44, 48]] ------------------------------ Epoch 1799 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.104178 - Iter 024 / 025, Loss: 0.023402 * Train accuracy / confusion: 97.38% / [[351, 2, 3], [10, 257, 1], [3, 2, 171]], * Val accuracy / confusion: 57.88% / [[160, 50, 20], [58, 91, 26], [21, 44, 50]] ------------------------------ Epoch 1800 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.023788 - Iter 024 / 025, Loss: 0.070607 * Train accuracy / confusion: 96.62% / [[351, 2, 2], [12, 253, 3], [5, 3, 169]], * Val accuracy / confusion: 59.62% / [[164, 40, 26], [53, 99, 23], [21, 47, 47]] ------------------------------ Epoch 1801 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.054956 - Iter 024 / 025, Loss: 0.038513 * Train accuracy / confusion: 97.62% / [[351, 7, 1], [3, 261, 2], [1, 5, 169]], * Val accuracy / confusion: 58.08% / [[159, 39, 32], [49, 93, 33], [23, 42, 50]] ------------------------------ Epoch 1802 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.153243 - Iter 024 / 025, Loss: 0.007087 * Train accuracy / confusion: 97.88% / [[348, 6, 2], [4, 262, 2], [1, 2, 173]], * Val accuracy / confusion: 57.88% / [[160, 47, 23], [58, 94, 23], [24, 44, 47]] ------------------------------ Epoch 1803 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.031239 - Iter 024 / 025, Loss: 0.031242 * Train accuracy / confusion: 98.00% / [[348, 3, 0], [8, 259, 3], [1, 1, 177]], * Val accuracy / confusion: 57.50% / [[159, 43, 28], [54, 94, 27], [23, 46, 46]] ------------------------------ Epoch 1804 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.030139 - Iter 024 / 025, Loss: 0.028032 * Train accuracy / confusion: 98.38% / [[351, 3, 1], [5, 263, 1], [2, 1, 173]], * Val accuracy / confusion: 59.04% / [[164, 46, 20], [59, 95, 21], [20, 47, 48]] ------------------------------ Epoch 1805 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.112656 - Iter 024 / 025, Loss: 0.132099 * Train accuracy / confusion: 97.00% / [[347, 6, 2], [7, 261, 2], [2, 5, 168]], * Val accuracy / confusion: 60.96% / [[162, 41, 27], [53, 104, 18], [22, 42, 51]] ------------------------------ Epoch 1806 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.022152 - Iter 024 / 025, Loss: 0.052201 * Train accuracy / confusion: 97.50% / [[348, 3, 4], [7, 258, 0], [2, 4, 174]], * Val accuracy / confusion: 60.58% / [[164, 46, 20], [47, 108, 20], [26, 46, 43]] ------------------------------ Epoch 1807 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.008259 - Iter 024 / 025, Loss: 0.062989 * Train accuracy / confusion: 97.38% / [[353, 4, 2], [5, 258, 4], [2, 4, 168]], * Val accuracy / confusion: 59.42% / [[164, 49, 17], [50, 101, 24], [25, 46, 44]] ------------------------------ Epoch 1808 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.096462 - Iter 024 / 025, Loss: 0.057199 * Train accuracy / confusion: 97.75% / [[349, 6, 1], [7, 256, 2], [1, 1, 177]], * Val accuracy / confusion: 60.00% / [[163, 45, 22], [49, 100, 26], [25, 41, 49]] ------------------------------ Epoch 1809 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.122005 - Iter 024 / 025, Loss: 0.032866 * Train accuracy / confusion: 97.62% / [[349, 6, 1], [5, 260, 2], [1, 4, 172]], * Val accuracy / confusion: 58.65% / [[161, 42, 27], [54, 96, 25], [27, 40, 48]] ------------------------------ Epoch 1810 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.025476 - Iter 024 / 025, Loss: 0.155356 * Train accuracy / confusion: 97.62% / [[353, 4, 2], [7, 256, 4], [1, 1, 172]], * Val accuracy / confusion: 59.23% / [[166, 38, 26], [61, 93, 21], [22, 44, 49]] ------------------------------ Epoch 1811 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.114262 - Iter 024 / 025, Loss: 0.067329 * Train accuracy / confusion: 97.50% / [[349, 8, 0], [6, 262, 2], [1, 3, 169]], * Val accuracy / confusion: 58.27% / [[155, 47, 28], [49, 100, 26], [18, 49, 48]] ------------------------------ Epoch 1812 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.137738 - Iter 024 / 025, Loss: 0.154598 * Train accuracy / confusion: 96.12% / [[343, 9, 2], [10, 255, 6], [1, 3, 171]], * Val accuracy / confusion: 57.88% / [[164, 43, 23], [50, 94, 31], [24, 48, 43]] ------------------------------ Epoch 1813 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.012268 - Iter 024 / 025, Loss: 0.062708 * Train accuracy / confusion: 97.00% / [[350, 4, 4], [6, 255, 3], [2, 5, 171]], * Val accuracy / confusion: 58.27% / [[159, 50, 21], [49, 99, 27], [21, 49, 45]] ------------------------------ Epoch 1814 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.121826 - Iter 024 / 025, Loss: 0.019354 * Train accuracy / confusion: 96.62% / [[350, 6, 2], [10, 255, 3], [1, 5, 168]], * Val accuracy / confusion: 59.42% / [[156, 46, 28], [51, 104, 20], [20, 46, 49]] ------------------------------ Epoch 1815 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.085759 - Iter 024 / 025, Loss: 0.059071 * Train accuracy / confusion: 98.12% / [[347, 5, 0], [4, 262, 2], [3, 1, 176]], * Val accuracy / confusion: 55.58% / [[148, 52, 30], [57, 99, 19], [20, 53, 42]] ------------------------------ Epoch 1816 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.059168 - Iter 024 / 025, Loss: 0.098693 * Train accuracy / confusion: 97.50% / [[353, 3, 3], [9, 252, 3], [1, 1, 175]], * Val accuracy / confusion: 57.88% / [[162, 48, 20], [60, 93, 22], [27, 42, 46]] ------------------------------ Epoch 1817 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.073435 - Iter 024 / 025, Loss: 0.011930 * Train accuracy / confusion: 97.88% / [[346, 7, 1], [6, 258, 1], [0, 2, 179]], * Val accuracy / confusion: 59.42% / [[164, 44, 22], [52, 95, 28], [29, 36, 50]] ------------------------------ Epoch 1818 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.070016 - Iter 024 / 025, Loss: 0.175672 * Train accuracy / confusion: 97.88% / [[349, 4, 1], [6, 264, 0], [3, 3, 170]], * Val accuracy / confusion: 60.19% / [[168, 39, 23], [44, 98, 33], [21, 47, 47]] ------------------------------ Epoch 1819 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.169592 - Iter 024 / 025, Loss: 0.089768 * Train accuracy / confusion: 96.88% / [[350, 6, 2], [9, 249, 6], [0, 2, 176]], * Val accuracy / confusion: 61.92% / [[168, 42, 20], [50, 108, 17], [25, 44, 46]] ------------------------------ Epoch 1820 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.088789 - Iter 024 / 025, Loss: 0.058745 * Train accuracy / confusion: 97.50% / [[348, 6, 1], [10, 257, 0], [0, 3, 175]], * Val accuracy / confusion: 59.81% / [[160, 51, 19], [48, 107, 20], [24, 47, 44]] ------------------------------ Epoch 1821 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.026533 - Iter 024 / 025, Loss: 0.032587 * Train accuracy / confusion: 98.25% / [[349, 3, 2], [4, 261, 2], [0, 3, 176]], * Val accuracy / confusion: 56.92% / [[153, 53, 24], [51, 97, 27], [21, 48, 46]] ------------------------------ Epoch 1822 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.023525 - Iter 024 / 025, Loss: 0.120207 * Train accuracy / confusion: 98.00% / [[347, 5, 0], [6, 264, 1], [2, 2, 173]], * Val accuracy / confusion: 58.85% / [[164, 42, 24], [58, 92, 25], [28, 37, 50]] ------------------------------ Epoch 1823 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.051068 - Iter 024 / 025, Loss: 0.106884 * Train accuracy / confusion: 97.25% / [[347, 8, 1], [7, 256, 1], [2, 3, 175]], * Val accuracy / confusion: 58.65% / [[163, 47, 20], [54, 97, 24], [27, 43, 45]] ------------------------------ Epoch 1824 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.091692 - Iter 024 / 025, Loss: 0.057618 * Train accuracy / confusion: 97.25% / [[345, 6, 1], [6, 264, 2], [5, 2, 169]], * Val accuracy / confusion: 60.96% / [[165, 39, 26], [56, 96, 23], [20, 39, 56]] ------------------------------ Epoch 1825 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.016924 - Iter 024 / 025, Loss: 0.032326 * Train accuracy / confusion: 97.62% / [[350, 5, 4], [4, 258, 3], [2, 1, 173]], * Val accuracy / confusion: 59.62% / [[159, 50, 21], [49, 100, 26], [18, 46, 51]] ------------------------------ Epoch 1826 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.217356 - Iter 024 / 025, Loss: 0.088477 * Train accuracy / confusion: 97.25% / [[345, 6, 1], [8, 256, 4], [1, 2, 177]], * Val accuracy / confusion: 57.12% / [[160, 44, 26], [55, 93, 27], [27, 44, 44]] ------------------------------ Epoch 1827 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.038081 - Iter 024 / 025, Loss: 0.019671 * Train accuracy / confusion: 97.00% / [[348, 4, 3], [9, 254, 3], [2, 3, 174]], * Val accuracy / confusion: 59.62% / [[157, 50, 23], [52, 104, 19], [22, 44, 49]] ------------------------------ Epoch 1828 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.033197 - Iter 024 / 025, Loss: 0.054383 * Train accuracy / confusion: 96.50% / [[348, 6, 2], [10, 254, 3], [4, 3, 170]], * Val accuracy / confusion: 55.77% / [[154, 53, 23], [47, 87, 41], [19, 47, 49]] ------------------------------ Epoch 1829 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.368859 - Iter 024 / 025, Loss: 0.179216 * Train accuracy / confusion: 97.12% / [[347, 9, 0], [8, 257, 3], [2, 1, 173]], * Val accuracy / confusion: 58.85% / [[154, 49, 27], [49, 96, 30], [19, 40, 56]] ------------------------------ Epoch 1830 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.014734 - Iter 024 / 025, Loss: 0.015636 * Train accuracy / confusion: 97.50% / [[349, 5, 1], [8, 260, 1], [1, 4, 171]], * Val accuracy / confusion: 59.81% / [[163, 42, 25], [59, 102, 14], [28, 41, 46]] ------------------------------ Epoch 1831 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.032915 - Iter 024 / 025, Loss: 0.131552 * Train accuracy / confusion: 97.00% / [[348, 6, 1], [7, 259, 4], [1, 5, 169]], * Val accuracy / confusion: 58.08% / [[158, 43, 29], [48, 102, 25], [23, 50, 42]] ------------------------------ Epoch 1832 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.180518 - Iter 024 / 025, Loss: 0.016107 * Train accuracy / confusion: 97.25% / [[351, 8, 0], [10, 250, 1], [1, 2, 177]], * Val accuracy / confusion: 58.08% / [[158, 50, 22], [51, 103, 21], [25, 49, 41]] ------------------------------ Epoch 1833 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.080787 - Iter 024 / 025, Loss: 0.030970 * Train accuracy / confusion: 97.50% / [[346, 8, 3], [7, 263, 0], [1, 1, 171]], * Val accuracy / confusion: 59.42% / [[168, 45, 17], [56, 98, 21], [24, 48, 43]] ------------------------------ Epoch 1834 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.030015 - Iter 024 / 025, Loss: 0.063891 * Train accuracy / confusion: 97.75% / [[352, 2, 1], [4, 261, 6], [3, 2, 169]], * Val accuracy / confusion: 57.88% / [[159, 48, 23], [59, 94, 22], [23, 44, 48]] ------------------------------ Epoch 1835 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.146328 - Iter 024 / 025, Loss: 0.018906 * Train accuracy / confusion: 98.12% / [[351, 4, 0], [7, 260, 1], [2, 1, 174]], * Val accuracy / confusion: 57.50% / [[163, 42, 25], [52, 93, 30], [21, 51, 43]] ------------------------------ Epoch 1836 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.101665 - Iter 024 / 025, Loss: 0.020714 * Train accuracy / confusion: 97.62% / [[350, 6, 2], [5, 260, 1], [1, 4, 171]], * Val accuracy / confusion: 58.08% / [[163, 48, 19], [59, 94, 22], [23, 47, 45]] ------------------------------ Epoch 1837 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.021849 - Iter 024 / 025, Loss: 0.080960 * Train accuracy / confusion: 96.88% / [[351, 4, 1], [7, 256, 6], [3, 4, 168]], * Val accuracy / confusion: 57.50% / [[156, 50, 24], [56, 98, 21], [21, 49, 45]] ------------------------------ Epoch 1838 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.054875 - Iter 024 / 025, Loss: 0.062844 * Train accuracy / confusion: 97.88% / [[353, 4, 0], [6, 260, 3], [0, 4, 170]], * Val accuracy / confusion: 61.15% / [[168, 36, 26], [46, 101, 28], [22, 44, 49]] ------------------------------ Epoch 1839 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.112237 - Iter 024 / 025, Loss: 0.021757 * Train accuracy / confusion: 97.12% / [[349, 5, 3], [6, 257, 5], [1, 3, 171]], * Val accuracy / confusion: 58.65% / [[157, 49, 24], [53, 104, 18], [22, 49, 44]] ------------------------------ Epoch 1840 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.200902 - Iter 024 / 025, Loss: 0.007767 * Train accuracy / confusion: 97.12% / [[346, 4, 4], [10, 255, 4], [0, 1, 176]], * Val accuracy / confusion: 58.65% / [[163, 49, 18], [45, 96, 34], [27, 42, 46]] ------------------------------ Epoch 1841 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.031118 - Iter 024 / 025, Loss: 0.091010 * Train accuracy / confusion: 97.88% / [[346, 8, 1], [5, 263, 2], [1, 0, 174]], * Val accuracy / confusion: 58.65% / [[166, 42, 22], [56, 93, 26], [26, 43, 46]] ------------------------------ Epoch 1842 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.032494 - Iter 024 / 025, Loss: 0.021540 * Train accuracy / confusion: 97.50% / [[347, 7, 0], [7, 258, 2], [1, 3, 175]], * Val accuracy / confusion: 59.04% / [[160, 47, 23], [47, 99, 29], [24, 43, 48]] ------------------------------ Epoch 1843 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.112266 - Iter 024 / 025, Loss: 0.027811 * Train accuracy / confusion: 97.25% / [[341, 5, 4], [8, 259, 3], [1, 1, 178]], * Val accuracy / confusion: 58.65% / [[162, 40, 28], [61, 95, 19], [17, 50, 48]] ------------------------------ Epoch 1844 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.032700 - Iter 024 / 025, Loss: 0.139029 * Train accuracy / confusion: 97.50% / [[351, 4, 2], [5, 261, 3], [3, 3, 168]], * Val accuracy / confusion: 59.62% / [[163, 45, 22], [58, 93, 24], [17, 44, 54]] ------------------------------ Epoch 1845 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.207450 - Iter 024 / 025, Loss: 0.062374 * Train accuracy / confusion: 95.75% / [[340, 11, 2], [8, 259, 6], [3, 4, 167]], * Val accuracy / confusion: 57.12% / [[157, 53, 20], [53, 93, 29], [21, 47, 47]] ------------------------------ Epoch 1846 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.036571 - Iter 024 / 025, Loss: 0.061372 * Train accuracy / confusion: 98.12% / [[357, 2, 0], [6, 260, 3], [2, 2, 168]], * Val accuracy / confusion: 59.62% / [[164, 43, 23], [46, 99, 30], [23, 45, 47]] ------------------------------ Epoch 1847 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.035880 - Iter 024 / 025, Loss: 0.166148 * Train accuracy / confusion: 96.75% / [[342, 7, 1], [9, 258, 5], [0, 4, 174]], * Val accuracy / confusion: 58.27% / [[163, 41, 26], [58, 96, 21], [30, 41, 44]] ------------------------------ Epoch 1848 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.136877 - Iter 024 / 025, Loss: 0.022053 * Train accuracy / confusion: 97.25% / [[353, 6, 2], [9, 253, 0], [3, 2, 172]], * Val accuracy / confusion: 59.81% / [[159, 50, 21], [44, 105, 26], [25, 43, 47]] ------------------------------ Epoch 1849 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.045952 - Iter 024 / 025, Loss: 0.051661 * Train accuracy / confusion: 97.38% / [[351, 5, 5], [9, 257, 1], [0, 1, 171]], * Val accuracy / confusion: 57.88% / [[153, 48, 29], [48, 100, 27], [22, 45, 48]] ------------------------------ Epoch 1850 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.055763 - Iter 024 / 025, Loss: 0.200644 * Train accuracy / confusion: 97.25% / [[349, 4, 3], [6, 258, 2], [4, 3, 171]], * Val accuracy / confusion: 59.04% / [[156, 52, 22], [48, 104, 23], [20, 48, 47]] ------------------------------ Epoch 1851 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.063583 - Iter 024 / 025, Loss: 0.102513 * Train accuracy / confusion: 97.00% / [[350, 9, 2], [10, 256, 0], [1, 2, 170]], * Val accuracy / confusion: 58.27% / [[157, 42, 31], [51, 99, 25], [19, 49, 47]] ------------------------------ Epoch 1852 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.079248 - Iter 024 / 025, Loss: 0.050792 * Train accuracy / confusion: 96.75% / [[344, 6, 3], [12, 253, 3], [1, 1, 177]], * Val accuracy / confusion: 60.96% / [[163, 40, 27], [48, 106, 21], [19, 48, 48]] ------------------------------ Epoch 1853 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.050076 - Iter 024 / 025, Loss: 0.102709 * Train accuracy / confusion: 97.12% / [[344, 7, 1], [8, 262, 2], [2, 3, 171]], * Val accuracy / confusion: 57.12% / [[155, 47, 28], [58, 91, 26], [21, 43, 51]] ------------------------------ Epoch 1854 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.018614 - Iter 024 / 025, Loss: 0.102900 * Train accuracy / confusion: 98.00% / [[351, 3, 1], [7, 262, 1], [1, 3, 171]], * Val accuracy / confusion: 56.92% / [[155, 52, 23], [55, 99, 21], [25, 48, 42]] ------------------------------ Epoch 1855 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.024130 - Iter 024 / 025, Loss: 0.084696 * Train accuracy / confusion: 97.12% / [[352, 6, 0], [7, 253, 6], [1, 3, 172]], * Val accuracy / confusion: 59.62% / [[160, 42, 28], [48, 105, 22], [21, 49, 45]] ------------------------------ Epoch 1856 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.159135 - Iter 024 / 025, Loss: 0.054104 * Train accuracy / confusion: 96.75% / [[349, 10, 1], [8, 259, 2], [2, 3, 166]], * Val accuracy / confusion: 56.92% / [[156, 45, 29], [52, 99, 24], [23, 51, 41]] ------------------------------ Epoch 1857 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.018804 - Iter 024 / 025, Loss: 0.068583 * Train accuracy / confusion: 98.25% / [[349, 5, 1], [4, 262, 1], [1, 2, 175]], * Val accuracy / confusion: 56.92% / [[156, 48, 26], [53, 97, 25], [20, 52, 43]] ------------------------------ Epoch 1858 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.026868 - Iter 024 / 025, Loss: 0.300102 * Train accuracy / confusion: 96.38% / [[344, 10, 2], [7, 254, 5], [2, 3, 173]], * Val accuracy / confusion: 59.42% / [[163, 46, 21], [61, 99, 15], [24, 44, 47]] ------------------------------ Epoch 1859 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.015946 - Iter 024 / 025, Loss: 0.204515 * Train accuracy / confusion: 97.12% / [[354, 5, 2], [6, 257, 5], [2, 3, 166]], * Val accuracy / confusion: 60.38% / [[166, 40, 24], [57, 98, 20], [22, 43, 50]] ------------------------------ Epoch 1860 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.117976 - Iter 024 / 025, Loss: 0.034441 * Train accuracy / confusion: 97.00% / [[354, 4, 0], [14, 248, 3], [0, 3, 174]], * Val accuracy / confusion: 60.77% / [[171, 38, 21], [58, 96, 21], [21, 45, 49]] ------------------------------ Epoch 1861 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.268062 - Iter 024 / 025, Loss: 0.221452 * Train accuracy / confusion: 97.50% / [[346, 4, 0], [11, 257, 3], [1, 1, 177]], * Val accuracy / confusion: 56.54% / [[159, 46, 25], [63, 90, 22], [24, 46, 45]] ------------------------------ Epoch 1862 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.018463 - Iter 024 / 025, Loss: 0.042231 * Train accuracy / confusion: 97.88% / [[355, 3, 2], [3, 260, 2], [1, 6, 168]], * Val accuracy / confusion: 57.88% / [[161, 45, 24], [44, 97, 34], [24, 48, 43]] ------------------------------ Epoch 1863 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.024238 - Iter 024 / 025, Loss: 0.020467 * Train accuracy / confusion: 98.00% / [[352, 2, 0], [7, 260, 4], [1, 2, 172]], * Val accuracy / confusion: 60.58% / [[166, 42, 22], [51, 103, 21], [21, 48, 46]] ------------------------------ Epoch 1864 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.122026 - Iter 024 / 025, Loss: 0.046681 * Train accuracy / confusion: 97.75% / [[348, 3, 1], [8, 263, 2], [2, 2, 171]], * Val accuracy / confusion: 58.27% / [[167, 46, 17], [59, 89, 27], [25, 43, 47]] ------------------------------ Epoch 1865 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.153624 - Iter 024 / 025, Loss: 0.075835 * Train accuracy / confusion: 97.88% / [[352, 3, 3], [4, 261, 1], [3, 3, 170]], * Val accuracy / confusion: 59.42% / [[162, 49, 19], [44, 100, 31], [20, 48, 47]] ------------------------------ Epoch 1866 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.031269 - Iter 024 / 025, Loss: 0.099577 * Train accuracy / confusion: 97.12% / [[355, 3, 1], [10, 253, 4], [1, 4, 169]], * Val accuracy / confusion: 60.77% / [[170, 37, 23], [50, 96, 29], [23, 42, 50]] ------------------------------ Epoch 1867 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.041566 - Iter 024 / 025, Loss: 0.044558 * Train accuracy / confusion: 96.75% / [[350, 6, 1], [12, 255, 4], [2, 1, 169]], * Val accuracy / confusion: 58.46% / [[169, 41, 20], [61, 89, 25], [21, 48, 46]] ------------------------------ Epoch 1868 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.034621 - Iter 024 / 025, Loss: 0.055394 * Train accuracy / confusion: 97.00% / [[350, 6, 2], [8, 257, 2], [1, 5, 169]], * Val accuracy / confusion: 59.42% / [[161, 42, 27], [51, 98, 26], [22, 43, 50]] ------------------------------ Epoch 1869 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.058798 - Iter 024 / 025, Loss: 0.311744 * Train accuracy / confusion: 97.00% / [[346, 8, 0], [8, 257, 4], [3, 1, 173]], * Val accuracy / confusion: 57.69% / [[156, 51, 23], [57, 96, 22], [22, 45, 48]] ------------------------------ Epoch 1870 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.025119 - Iter 024 / 025, Loss: 0.043647 * Train accuracy / confusion: 97.75% / [[345, 6, 1], [6, 262, 2], [2, 1, 175]], * Val accuracy / confusion: 57.50% / [[162, 41, 27], [59, 90, 26], [22, 46, 47]] ------------------------------ Epoch 1871 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.046638 - Iter 024 / 025, Loss: 0.118313 * Train accuracy / confusion: 97.62% / [[347, 5, 1], [7, 264, 1], [2, 3, 170]], * Val accuracy / confusion: 55.96% / [[166, 45, 19], [64, 81, 30], [22, 49, 44]] ------------------------------ Epoch 1872 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.087830 - Iter 024 / 025, Loss: 0.047186 * Train accuracy / confusion: 97.25% / [[346, 5, 4], [1, 259, 4], [2, 6, 173]], * Val accuracy / confusion: 61.73% / [[165, 37, 28], [46, 102, 27], [21, 40, 54]] ------------------------------ Epoch 1873 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.192014 - Iter 024 / 025, Loss: 0.127003 * Train accuracy / confusion: 96.75% / [[343, 7, 2], [9, 257, 2], [4, 2, 174]], * Val accuracy / confusion: 58.08% / [[161, 48, 21], [63, 93, 19], [25, 42, 48]] ------------------------------ Epoch 1874 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.129713 - Iter 024 / 025, Loss: 0.021766 * Train accuracy / confusion: 97.25% / [[350, 3, 1], [10, 259, 1], [3, 4, 169]], * Val accuracy / confusion: 56.54% / [[157, 49, 24], [49, 97, 29], [21, 54, 40]] ------------------------------ Epoch 1875 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.011676 - Iter 024 / 025, Loss: 0.055707 * Train accuracy / confusion: 98.50% / [[354, 5, 2], [3, 258, 1], [1, 0, 176]], * Val accuracy / confusion: 58.65% / [[156, 49, 25], [41, 103, 31], [22, 47, 46]] ------------------------------ Epoch 1876 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.071912 - Iter 024 / 025, Loss: 0.067771 * Train accuracy / confusion: 97.88% / [[353, 4, 1], [7, 259, 1], [2, 2, 171]], * Val accuracy / confusion: 57.88% / [[156, 48, 26], [49, 101, 25], [25, 46, 44]] ------------------------------ Epoch 1877 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.219102 - Iter 024 / 025, Loss: 0.058409 * Train accuracy / confusion: 97.25% / [[348, 7, 1], [6, 253, 6], [1, 1, 177]], * Val accuracy / confusion: 59.42% / [[162, 45, 23], [48, 104, 23], [19, 53, 43]] ------------------------------ Epoch 1878 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.118899 - Iter 024 / 025, Loss: 0.116309 * Train accuracy / confusion: 96.75% / [[347, 6, 4], [8, 255, 3], [3, 2, 172]], * Val accuracy / confusion: 59.62% / [[163, 43, 24], [59, 100, 16], [28, 40, 47]] ------------------------------ Epoch 1879 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.021691 - Iter 024 / 025, Loss: 0.028990 * Train accuracy / confusion: 97.25% / [[341, 8, 1], [9, 261, 1], [2, 1, 176]], * Val accuracy / confusion: 59.62% / [[168, 43, 19], [57, 96, 22], [26, 43, 46]] ------------------------------ Epoch 1880 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.065968 - Iter 024 / 025, Loss: 0.011712 * Train accuracy / confusion: 96.62% / [[348, 4, 4], [8, 254, 4], [5, 2, 171]], * Val accuracy / confusion: 58.65% / [[166, 41, 23], [49, 93, 33], [23, 46, 46]] ------------------------------ Epoch 1881 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.027608 - Iter 024 / 025, Loss: 0.046716 * Train accuracy / confusion: 98.00% / [[356, 2, 1], [8, 256, 1], [1, 3, 172]], * Val accuracy / confusion: 58.65% / [[163, 43, 24], [55, 97, 23], [23, 47, 45]] ------------------------------ Epoch 1882 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.029070 - Iter 024 / 025, Loss: 0.395949 * Train accuracy / confusion: 96.50% / [[343, 8, 7], [6, 260, 2], [1, 4, 169]], * Val accuracy / confusion: 58.27% / [[165, 43, 22], [62, 93, 20], [23, 47, 45]] ------------------------------ Epoch 1883 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.043091 - Iter 024 / 025, Loss: 0.092471 * Train accuracy / confusion: 96.88% / [[349, 6, 3], [8, 255, 1], [4, 3, 171]], * Val accuracy / confusion: 59.23% / [[167, 32, 31], [52, 98, 25], [25, 47, 43]] ------------------------------ Epoch 1884 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.111029 - Iter 024 / 025, Loss: 0.021664 * Train accuracy / confusion: 97.75% / [[344, 7, 2], [2, 264, 2], [2, 3, 174]], * Val accuracy / confusion: 58.08% / [[159, 50, 21], [44, 102, 29], [18, 56, 41]] ------------------------------ Epoch 1885 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.057325 - Iter 024 / 025, Loss: 0.021420 * Train accuracy / confusion: 97.75% / [[349, 2, 2], [10, 261, 0], [2, 2, 172]], * Val accuracy / confusion: 58.08% / [[169, 34, 27], [67, 83, 25], [25, 40, 50]] ------------------------------ Epoch 1886 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.343784 - Iter 024 / 025, Loss: 0.041788 * Train accuracy / confusion: 96.62% / [[350, 7, 0], [10, 255, 4], [3, 3, 168]], * Val accuracy / confusion: 58.65% / [[157, 47, 26], [57, 101, 17], [24, 44, 47]] ------------------------------ Epoch 1887 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.061460 - Iter 024 / 025, Loss: 0.022880 * Train accuracy / confusion: 98.00% / [[353, 3, 1], [6, 260, 1], [0, 5, 171]], * Val accuracy / confusion: 58.85% / [[168, 37, 25], [55, 92, 28], [24, 45, 46]] ------------------------------ Epoch 1888 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.052886 - Iter 024 / 025, Loss: 0.072351 * Train accuracy / confusion: 96.75% / [[347, 7, 1], [11, 253, 3], [0, 4, 174]], * Val accuracy / confusion: 58.27% / [[162, 43, 25], [53, 91, 31], [25, 40, 50]] ------------------------------ Epoch 1889 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.113942 - Iter 024 / 025, Loss: 0.058251 * Train accuracy / confusion: 97.50% / [[351, 3, 4], [9, 258, 1], [0, 3, 171]], * Val accuracy / confusion: 59.23% / [[166, 38, 26], [47, 98, 30], [24, 47, 44]] ------------------------------ Epoch 1890 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.056161 - Iter 024 / 025, Loss: 0.024607 * Train accuracy / confusion: 96.88% / [[352, 5, 0], [15, 251, 1], [1, 3, 172]], * Val accuracy / confusion: 56.35% / [[162, 45, 23], [54, 83, 38], [20, 47, 48]] ------------------------------ Epoch 1891 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.047665 - Iter 024 / 025, Loss: 0.044495 * Train accuracy / confusion: 97.62% / [[352, 4, 2], [6, 260, 5], [0, 2, 169]], * Val accuracy / confusion: 59.42% / [[163, 48, 19], [51, 101, 23], [24, 46, 45]] ------------------------------ Epoch 1892 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.137968 - Iter 024 / 025, Loss: 0.024059 * Train accuracy / confusion: 97.38% / [[347, 4, 1], [8, 262, 2], [2, 4, 170]], * Val accuracy / confusion: 59.42% / [[163, 49, 18], [59, 98, 18], [17, 50, 48]] ------------------------------ Epoch 1893 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.059355 - Iter 024 / 025, Loss: 0.012530 * Train accuracy / confusion: 97.38% / [[349, 3, 1], [10, 259, 1], [2, 4, 171]], * Val accuracy / confusion: 59.62% / [[163, 43, 24], [54, 101, 20], [24, 45, 46]] ------------------------------ Epoch 1894 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.059374 - Iter 024 / 025, Loss: 0.122180 * Train accuracy / confusion: 97.50% / [[351, 3, 1], [9, 256, 3], [2, 2, 173]], * Val accuracy / confusion: 59.04% / [[166, 35, 29], [52, 97, 26], [31, 40, 44]] ------------------------------ Epoch 1895 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.070938 - Iter 024 / 025, Loss: 0.015347 * Train accuracy / confusion: 96.62% / [[343, 8, 4], [10, 256, 1], [0, 4, 174]], * Val accuracy / confusion: 58.65% / [[157, 50, 23], [52, 106, 17], [25, 48, 42]] ------------------------------ Epoch 1896 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.051157 - Iter 024 / 025, Loss: 0.042198 * Train accuracy / confusion: 97.50% / [[348, 5, 4], [5, 259, 3], [2, 1, 173]], * Val accuracy / confusion: 55.77% / [[151, 52, 27], [58, 94, 23], [20, 50, 45]] ------------------------------ Epoch 1897 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.056842 - Iter 024 / 025, Loss: 0.086341 * Train accuracy / confusion: 97.50% / [[347, 3, 3], [7, 260, 1], [2, 4, 173]], * Val accuracy / confusion: 61.35% / [[170, 41, 19], [55, 101, 19], [26, 41, 48]] ------------------------------ Epoch 1898 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.133936 - Iter 024 / 025, Loss: 0.020555 * Train accuracy / confusion: 98.00% / [[347, 5, 2], [6, 264, 0], [2, 1, 173]], * Val accuracy / confusion: 60.58% / [[173, 39, 18], [55, 95, 25], [26, 42, 47]] ------------------------------ Epoch 1899 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.046928 - Iter 024 / 025, Loss: 0.088376 * Train accuracy / confusion: 98.25% / [[354, 5, 0], [7, 256, 1], [0, 1, 176]], * Val accuracy / confusion: 57.88% / [[158, 45, 27], [53, 92, 30], [20, 44, 51]] ------------------------------ Epoch 1900 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.015699 - Iter 024 / 025, Loss: 0.035644 * Train accuracy / confusion: 96.88% / [[341, 7, 1], [11, 260, 2], [2, 2, 174]], * Val accuracy / confusion: 58.85% / [[159, 50, 21], [60, 95, 20], [22, 41, 52]] ------------------------------ Epoch 1901 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.005904 - Iter 024 / 025, Loss: 0.110782 * Train accuracy / confusion: 97.50% / [[351, 6, 1], [7, 258, 2], [2, 2, 171]], * Val accuracy / confusion: 57.50% / [[160, 51, 19], [57, 96, 22], [24, 48, 43]] ------------------------------ Epoch 1902 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.010486 - Iter 024 / 025, Loss: 0.305004 * Train accuracy / confusion: 97.00% / [[349, 6, 2], [11, 257, 1], [2, 2, 170]], * Val accuracy / confusion: 59.62% / [[164, 41, 25], [45, 95, 35], [16, 48, 51]] ------------------------------ Epoch 1903 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.170555 - Iter 024 / 025, Loss: 0.021096 * Train accuracy / confusion: 97.88% / [[349, 6, 0], [6, 259, 1], [1, 3, 175]], * Val accuracy / confusion: 56.35% / [[156, 47, 27], [61, 92, 22], [22, 48, 45]] ------------------------------ Epoch 1904 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.005781 - Iter 024 / 025, Loss: 0.044603 * Train accuracy / confusion: 97.25% / [[353, 8, 1], [5, 257, 2], [4, 2, 168]], * Val accuracy / confusion: 59.42% / [[163, 39, 28], [58, 94, 23], [24, 39, 52]] ------------------------------ Epoch 1905 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.019512 - Iter 024 / 025, Loss: 0.022235 * Train accuracy / confusion: 97.50% / [[353, 1, 1], [10, 253, 2], [2, 4, 174]], * Val accuracy / confusion: 59.04% / [[165, 45, 20], [58, 97, 20], [20, 50, 45]] ------------------------------ Epoch 1906 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.196277 - Iter 024 / 025, Loss: 0.020123 * Train accuracy / confusion: 97.38% / [[350, 4, 3], [8, 254, 2], [1, 3, 175]], * Val accuracy / confusion: 60.58% / [[168, 40, 22], [53, 101, 21], [23, 46, 46]] ------------------------------ Epoch 1907 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.110189 - Iter 024 / 025, Loss: 0.053539 * Train accuracy / confusion: 97.38% / [[351, 3, 4], [6, 260, 3], [2, 3, 168]], * Val accuracy / confusion: 58.65% / [[160, 49, 21], [51, 98, 26], [23, 45, 47]] ------------------------------ Epoch 1908 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.033987 - Iter 024 / 025, Loss: 0.007824 * Train accuracy / confusion: 98.50% / [[356, 3, 0], [4, 262, 3], [0, 2, 170]], * Val accuracy / confusion: 59.42% / [[165, 39, 26], [49, 100, 26], [21, 50, 44]] ------------------------------ Epoch 1909 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.102240 - Iter 024 / 025, Loss: 0.004390 * Train accuracy / confusion: 97.38% / [[342, 6, 1], [8, 261, 3], [2, 1, 176]], * Val accuracy / confusion: 61.15% / [[164, 45, 21], [54, 101, 20], [20, 42, 53]] ------------------------------ Epoch 1910 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.097249 - Iter 024 / 025, Loss: 0.034787 * Train accuracy / confusion: 97.75% / [[352, 3, 1], [5, 263, 3], [4, 2, 167]], * Val accuracy / confusion: 56.73% / [[158, 40, 32], [52, 93, 30], [18, 53, 44]] ------------------------------ Epoch 1911 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.030551 - Iter 024 / 025, Loss: 0.092751 * Train accuracy / confusion: 97.12% / [[343, 4, 3], [4, 265, 3], [6, 3, 169]], * Val accuracy / confusion: 59.81% / [[169, 36, 25], [51, 94, 30], [24, 43, 48]] ------------------------------ Epoch 1912 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.095995 - Iter 024 / 025, Loss: 0.020756 * Train accuracy / confusion: 97.75% / [[350, 1, 2], [11, 251, 3], [0, 1, 181]], * Val accuracy / confusion: 58.08% / [[157, 48, 25], [54, 99, 22], [23, 46, 46]] ------------------------------ Epoch 1913 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.150643 - Iter 024 / 025, Loss: 0.042491 * Train accuracy / confusion: 97.38% / [[357, 0, 3], [7, 255, 2], [5, 4, 167]], * Val accuracy / confusion: 62.31% / [[169, 41, 20], [43, 107, 25], [21, 46, 48]] ------------------------------ Epoch 1914 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.092883 - Iter 024 / 025, Loss: 0.077959 * Train accuracy / confusion: 97.38% / [[350, 7, 3], [3, 259, 2], [2, 4, 170]], * Val accuracy / confusion: 57.88% / [[162, 47, 21], [60, 94, 21], [26, 44, 45]] ------------------------------ Epoch 1915 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.103893 - Iter 024 / 025, Loss: 0.029454 * Train accuracy / confusion: 97.38% / [[347, 7, 1], [8, 254, 4], [1, 0, 178]], * Val accuracy / confusion: 59.04% / [[164, 38, 28], [59, 96, 20], [27, 41, 47]] ------------------------------ Epoch 1916 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.131742 - Iter 024 / 025, Loss: 0.078488 * Train accuracy / confusion: 97.38% / [[345, 7, 3], [6, 261, 2], [2, 1, 173]], * Val accuracy / confusion: 60.00% / [[160, 44, 26], [51, 102, 22], [16, 49, 50]] ------------------------------ Epoch 1917 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.084587 - Iter 024 / 025, Loss: 0.116719 * Train accuracy / confusion: 97.38% / [[349, 7, 1], [7, 259, 3], [0, 3, 171]], * Val accuracy / confusion: 56.73% / [[159, 48, 23], [62, 88, 25], [20, 47, 48]] ------------------------------ Epoch 1918 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.083159 - Iter 024 / 025, Loss: 0.221095 * Train accuracy / confusion: 97.25% / [[349, 6, 1], [5, 261, 4], [2, 4, 168]], * Val accuracy / confusion: 56.73% / [[156, 46, 28], [53, 99, 23], [24, 51, 40]] ------------------------------ Epoch 1919 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.023786 - Iter 024 / 025, Loss: 0.016625 * Train accuracy / confusion: 97.75% / [[346, 5, 4], [7, 260, 0], [1, 1, 176]], * Val accuracy / confusion: 59.23% / [[165, 43, 22], [50, 96, 29], [23, 45, 47]] ------------------------------ Epoch 1920 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.017146 - Iter 024 / 025, Loss: 0.092558 * Train accuracy / confusion: 97.88% / [[348, 6, 3], [5, 259, 2], [0, 1, 176]], * Val accuracy / confusion: 60.77% / [[169, 37, 24], [60, 100, 15], [21, 47, 47]] ------------------------------ Epoch 1921 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.076225 - Iter 024 / 025, Loss: 0.083486 * Train accuracy / confusion: 97.62% / [[352, 6, 1], [6, 263, 3], [0, 3, 166]], * Val accuracy / confusion: 58.85% / [[162, 41, 27], [54, 93, 28], [23, 41, 51]] ------------------------------ Epoch 1922 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.033367 - Iter 024 / 025, Loss: 0.071154 * Train accuracy / confusion: 97.25% / [[343, 7, 4], [6, 257, 4], [0, 1, 178]], * Val accuracy / confusion: 60.00% / [[168, 42, 20], [52, 94, 29], [20, 45, 50]] ------------------------------ Epoch 1923 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.053724 - Iter 024 / 025, Loss: 0.023008 * Train accuracy / confusion: 96.75% / [[351, 4, 4], [9, 250, 5], [3, 1, 173]], * Val accuracy / confusion: 58.08% / [[160, 53, 17], [51, 98, 26], [21, 50, 44]] ------------------------------ Epoch 1924 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.042689 - Iter 024 / 025, Loss: 0.206234 * Train accuracy / confusion: 96.88% / [[353, 3, 2], [11, 249, 4], [1, 4, 173]], * Val accuracy / confusion: 59.04% / [[162, 39, 29], [51, 99, 25], [20, 49, 46]] ------------------------------ Epoch 1925 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.110637 - Iter 024 / 025, Loss: 0.010930 * Train accuracy / confusion: 97.38% / [[347, 9, 1], [7, 258, 2], [0, 2, 174]], * Val accuracy / confusion: 58.85% / [[166, 42, 22], [54, 90, 31], [24, 41, 50]] ------------------------------ Epoch 1926 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.188352 - Iter 024 / 025, Loss: 0.070208 * Train accuracy / confusion: 97.25% / [[349, 5, 1], [13, 257, 1], [0, 2, 172]], * Val accuracy / confusion: 59.23% / [[164, 38, 28], [54, 95, 26], [20, 46, 49]] ------------------------------ Epoch 1927 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.051491 - Iter 024 / 025, Loss: 0.021318 * Train accuracy / confusion: 97.38% / [[358, 3, 2], [10, 250, 4], [1, 1, 171]], * Val accuracy / confusion: 58.85% / [[163, 45, 22], [48, 96, 31], [19, 49, 47]] ------------------------------ Epoch 1928 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.147083 - Iter 024 / 025, Loss: 0.062303 * Train accuracy / confusion: 97.25% / [[351, 4, 2], [7, 257, 4], [3, 2, 170]], * Val accuracy / confusion: 60.96% / [[166, 43, 21], [44, 104, 27], [19, 49, 47]] ------------------------------ Epoch 1929 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.022519 - Iter 024 / 025, Loss: 0.036816 * Train accuracy / confusion: 97.25% / [[346, 8, 3], [8, 255, 2], [1, 0, 177]], * Val accuracy / confusion: 55.96% / [[152, 51, 27], [52, 95, 28], [24, 47, 44]] ------------------------------ Epoch 1930 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.013582 - Iter 024 / 025, Loss: 0.188944 * Train accuracy / confusion: 97.00% / [[351, 6, 1], [12, 258, 0], [2, 3, 167]], * Val accuracy / confusion: 59.42% / [[167, 42, 21], [61, 94, 20], [24, 43, 48]] ------------------------------ Epoch 1931 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.093799 - Iter 024 / 025, Loss: 0.047732 * Train accuracy / confusion: 97.25% / [[347, 6, 0], [6, 260, 4], [3, 3, 171]], * Val accuracy / confusion: 60.77% / [[167, 46, 17], [56, 101, 18], [21, 46, 48]] ------------------------------ Epoch 1932 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.075092 - Iter 024 / 025, Loss: 0.041211 * Train accuracy / confusion: 96.62% / [[353, 4, 2], [7, 248, 9], [4, 1, 172]], * Val accuracy / confusion: 58.46% / [[165, 41, 24], [51, 96, 28], [19, 53, 43]] ------------------------------ Epoch 1933 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.111582 - Iter 024 / 025, Loss: 0.117802 * Train accuracy / confusion: 97.75% / [[352, 3, 3], [7, 260, 0], [2, 3, 170]], * Val accuracy / confusion: 57.88% / [[155, 48, 27], [41, 102, 32], [21, 50, 44]] ------------------------------ Epoch 1934 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.049195 - Iter 024 / 025, Loss: 0.334000 * Train accuracy / confusion: 97.12% / [[350, 6, 1], [6, 255, 6], [0, 4, 172]], * Val accuracy / confusion: 58.65% / [[155, 48, 27], [46, 102, 27], [22, 45, 48]] ------------------------------ Epoch 1935 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.015106 - Iter 024 / 025, Loss: 0.021516 * Train accuracy / confusion: 98.88% / [[356, 2, 0], [6, 262, 0], [1, 0, 173]], * Val accuracy / confusion: 57.88% / [[162, 46, 22], [52, 96, 27], [20, 52, 43]] ------------------------------ Epoch 1936 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.081074 - Iter 024 / 025, Loss: 0.035771 * Train accuracy / confusion: 97.38% / [[349, 7, 1], [9, 257, 1], [1, 2, 173]], * Val accuracy / confusion: 58.85% / [[163, 45, 22], [50, 98, 27], [19, 51, 45]] ------------------------------ Epoch 1937 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.078337 - Iter 024 / 025, Loss: 0.383422 * Train accuracy / confusion: 96.88% / [[343, 6, 1], [11, 261, 2], [3, 2, 171]], * Val accuracy / confusion: 60.96% / [[166, 44, 20], [45, 106, 24], [21, 49, 45]] ------------------------------ Epoch 1938 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.016733 - Iter 024 / 025, Loss: 0.165138 * Train accuracy / confusion: 97.62% / [[354, 4, 2], [4, 259, 4], [2, 3, 168]], * Val accuracy / confusion: 58.27% / [[159, 42, 29], [55, 94, 26], [22, 43, 50]] ------------------------------ Epoch 1939 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.110500 - Iter 024 / 025, Loss: 0.148473 * Train accuracy / confusion: 97.62% / [[347, 5, 2], [7, 260, 0], [2, 3, 174]], * Val accuracy / confusion: 59.04% / [[164, 47, 19], [58, 93, 24], [26, 39, 50]] ------------------------------ Epoch 1940 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.032396 - Iter 024 / 025, Loss: 0.033965 * Train accuracy / confusion: 97.50% / [[352, 4, 2], [7, 260, 1], [3, 3, 168]], * Val accuracy / confusion: 60.96% / [[161, 47, 22], [39, 109, 27], [19, 49, 47]] ------------------------------ Epoch 1941 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.060411 - Iter 024 / 025, Loss: 0.030989 * Train accuracy / confusion: 97.38% / [[350, 4, 2], [5, 260, 4], [0, 6, 169]], * Val accuracy / confusion: 58.85% / [[160, 42, 28], [51, 97, 27], [24, 42, 49]] ------------------------------ Epoch 1942 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.058926 - Iter 024 / 025, Loss: 0.198155 * Train accuracy / confusion: 97.38% / [[354, 5, 1], [7, 253, 5], [0, 3, 172]], * Val accuracy / confusion: 58.65% / [[155, 44, 31], [49, 97, 29], [20, 42, 53]] ------------------------------ Epoch 1943 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.019295 - Iter 024 / 025, Loss: 0.022382 * Train accuracy / confusion: 98.50% / [[350, 3, 3], [5, 264, 0], [1, 0, 174]], * Val accuracy / confusion: 59.23% / [[170, 43, 17], [55, 94, 26], [17, 54, 44]] ------------------------------ Epoch 1944 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.113874 - Iter 024 / 025, Loss: 0.045454 * Train accuracy / confusion: 96.62% / [[347, 9, 3], [8, 252, 5], [0, 2, 174]], * Val accuracy / confusion: 58.08% / [[157, 49, 24], [56, 98, 21], [20, 48, 47]] ------------------------------ Epoch 1945 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.102877 - Iter 024 / 025, Loss: 0.045330 * Train accuracy / confusion: 96.88% / [[348, 9, 1], [10, 255, 1], [2, 2, 172]], * Val accuracy / confusion: 60.96% / [[163, 41, 26], [50, 105, 20], [21, 45, 49]] ------------------------------ Epoch 1946 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.071267 - Iter 024 / 025, Loss: 0.125482 * Train accuracy / confusion: 97.25% / [[352, 5, 3], [8, 255, 4], [2, 0, 171]], * Val accuracy / confusion: 58.27% / [[162, 44, 24], [50, 95, 30], [25, 44, 46]] ------------------------------ Epoch 1947 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.006688 - Iter 024 / 025, Loss: 0.036017 * Train accuracy / confusion: 98.25% / [[354, 0, 0], [8, 257, 2], [3, 1, 175]], * Val accuracy / confusion: 60.19% / [[160, 43, 27], [50, 100, 25], [18, 44, 53]] ------------------------------ Epoch 1948 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.032642 - Iter 024 / 025, Loss: 0.007928 * Train accuracy / confusion: 96.62% / [[346, 7, 1], [9, 257, 2], [6, 2, 170]], * Val accuracy / confusion: 56.92% / [[159, 45, 26], [56, 98, 21], [27, 49, 39]] ------------------------------ Epoch 1949 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.069043 - Iter 024 / 025, Loss: 0.034878 * Train accuracy / confusion: 96.75% / [[351, 5, 1], [9, 255, 6], [2, 3, 168]], * Val accuracy / confusion: 56.73% / [[160, 38, 32], [54, 89, 32], [23, 46, 46]] ------------------------------ Epoch 1950 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.071406 - Iter 024 / 025, Loss: 0.099914 * Train accuracy / confusion: 97.38% / [[348, 5, 0], [8, 260, 5], [2, 1, 171]], * Val accuracy / confusion: 55.77% / [[153, 54, 23], [56, 96, 23], [23, 51, 41]] ------------------------------ Epoch 1951 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.042703 - Iter 024 / 025, Loss: 0.156333 * Train accuracy / confusion: 97.12% / [[347, 5, 1], [9, 263, 3], [1, 4, 167]], * Val accuracy / confusion: 60.58% / [[173, 32, 25], [57, 92, 26], [22, 43, 50]] ------------------------------ Epoch 1952 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.011250 - Iter 024 / 025, Loss: 0.098776 * Train accuracy / confusion: 97.75% / [[347, 7, 1], [8, 263, 2], [0, 0, 172]], * Val accuracy / confusion: 57.88% / [[160, 39, 31], [57, 97, 21], [25, 46, 44]] ------------------------------ Epoch 1953 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.009805 - Iter 024 / 025, Loss: 0.078458 * Train accuracy / confusion: 97.50% / [[350, 3, 1], [10, 256, 4], [0, 2, 174]], * Val accuracy / confusion: 59.42% / [[167, 40, 23], [54, 99, 22], [22, 50, 43]] ------------------------------ Epoch 1954 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.173172 - Iter 024 / 025, Loss: 0.004357 * Train accuracy / confusion: 96.88% / [[345, 6, 2], [6, 256, 5], [4, 2, 174]], * Val accuracy / confusion: 60.58% / [[164, 48, 18], [52, 106, 17], [21, 49, 45]] ------------------------------ Epoch 1955 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.213711 - Iter 024 / 025, Loss: 0.015170 * Train accuracy / confusion: 96.62% / [[346, 5, 4], [11, 254, 4], [1, 2, 173]], * Val accuracy / confusion: 57.69% / [[162, 42, 26], [54, 94, 27], [21, 50, 44]] ------------------------------ Epoch 1956 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.092402 - Iter 024 / 025, Loss: 0.016700 * Train accuracy / confusion: 97.50% / [[349, 5, 2], [6, 260, 2], [2, 3, 171]], * Val accuracy / confusion: 58.65% / [[161, 48, 21], [48, 99, 28], [24, 46, 45]] ------------------------------ Epoch 1957 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.056027 - Iter 024 / 025, Loss: 0.028753 * Train accuracy / confusion: 97.50% / [[346, 9, 1], [5, 260, 2], [1, 2, 174]], * Val accuracy / confusion: 58.85% / [[161, 39, 30], [47, 95, 33], [21, 44, 50]] ------------------------------ Epoch 1958 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.074959 - Iter 024 / 025, Loss: 0.007227 * Train accuracy / confusion: 97.62% / [[348, 4, 2], [7, 257, 2], [0, 4, 176]], * Val accuracy / confusion: 59.04% / [[162, 43, 25], [52, 94, 29], [23, 41, 51]] ------------------------------ Epoch 1959 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.143717 - Iter 024 / 025, Loss: 0.027164 * Train accuracy / confusion: 98.12% / [[351, 1, 2], [7, 262, 0], [1, 4, 172]], * Val accuracy / confusion: 59.62% / [[167, 38, 25], [46, 101, 28], [24, 49, 42]] ------------------------------ Epoch 1960 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.014453 - Iter 024 / 025, Loss: 0.094134 * Train accuracy / confusion: 97.50% / [[352, 5, 1], [7, 253, 3], [0, 4, 175]], * Val accuracy / confusion: 61.92% / [[166, 44, 20], [51, 100, 24], [20, 39, 56]] ------------------------------ Epoch 1961 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.027171 - Iter 024 / 025, Loss: 0.043865 * Train accuracy / confusion: 97.62% / [[347, 4, 1], [9, 254, 3], [0, 2, 180]], * Val accuracy / confusion: 57.69% / [[158, 48, 24], [52, 99, 24], [28, 44, 43]] ------------------------------ Epoch 1962 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.049739 - Iter 024 / 025, Loss: 0.056648 * Train accuracy / confusion: 97.75% / [[348, 10, 0], [4, 264, 2], [0, 2, 170]], * Val accuracy / confusion: 57.31% / [[155, 51, 24], [50, 96, 29], [23, 45, 47]] ------------------------------ Epoch 1963 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.020022 - Iter 024 / 025, Loss: 0.041021 * Train accuracy / confusion: 96.62% / [[349, 8, 0], [8, 251, 7], [0, 4, 173]], * Val accuracy / confusion: 59.42% / [[164, 45, 21], [51, 97, 27], [20, 47, 48]] ------------------------------ Epoch 1964 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.108167 - Iter 024 / 025, Loss: 0.013858 * Train accuracy / confusion: 98.25% / [[355, 1, 1], [9, 255, 3], [0, 0, 176]], * Val accuracy / confusion: 59.04% / [[169, 38, 23], [58, 92, 25], [22, 47, 46]] ------------------------------ Epoch 1965 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.067666 - Iter 024 / 025, Loss: 0.038483 * Train accuracy / confusion: 98.38% / [[352, 3, 4], [5, 259, 0], [0, 1, 176]], * Val accuracy / confusion: 58.08% / [[164, 47, 19], [53, 93, 29], [22, 48, 45]] ------------------------------ Epoch 1966 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.136468 - Iter 024 / 025, Loss: 0.099822 * Train accuracy / confusion: 97.12% / [[346, 8, 1], [7, 257, 5], [1, 1, 174]], * Val accuracy / confusion: 59.81% / [[168, 41, 21], [51, 99, 25], [21, 50, 44]] ------------------------------ Epoch 1967 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.105547 - Iter 024 / 025, Loss: 0.054393 * Train accuracy / confusion: 97.50% / [[353, 5, 1], [4, 261, 5], [3, 2, 166]], * Val accuracy / confusion: 59.04% / [[162, 48, 20], [46, 102, 27], [22, 50, 43]] ------------------------------ Epoch 1968 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.027037 - Iter 024 / 025, Loss: 0.192290 * Train accuracy / confusion: 97.50% / [[351, 4, 1], [9, 255, 3], [2, 1, 174]], * Val accuracy / confusion: 56.92% / [[161, 45, 24], [58, 90, 27], [25, 45, 45]] ------------------------------ Epoch 1969 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.242478 - Iter 024 / 025, Loss: 0.059575 * Train accuracy / confusion: 98.50% / [[349, 2, 0], [6, 265, 2], [1, 1, 174]], * Val accuracy / confusion: 58.46% / [[163, 45, 22], [59, 97, 19], [24, 47, 44]] ------------------------------ Epoch 1970 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.032105 - Iter 024 / 025, Loss: 0.021003 * Train accuracy / confusion: 97.62% / [[349, 7, 0], [9, 258, 1], [1, 1, 174]], * Val accuracy / confusion: 55.58% / [[154, 51, 25], [56, 92, 27], [23, 49, 43]] ------------------------------ Epoch 1971 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.031811 - Iter 024 / 025, Loss: 0.052357 * Train accuracy / confusion: 96.75% / [[353, 3, 0], [13, 252, 3], [5, 2, 169]], * Val accuracy / confusion: 60.00% / [[168, 42, 20], [56, 98, 21], [22, 47, 46]] ------------------------------ Epoch 1972 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.007174 - Iter 024 / 025, Loss: 0.016788 * Train accuracy / confusion: 97.75% / [[351, 6, 2], [7, 260, 0], [1, 2, 171]], * Val accuracy / confusion: 59.04% / [[163, 42, 25], [52, 97, 26], [24, 44, 47]] ------------------------------ Epoch 1973 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.051650 - Iter 024 / 025, Loss: 0.020223 * Train accuracy / confusion: 97.88% / [[352, 4, 0], [8, 259, 0], [2, 3, 172]], * Val accuracy / confusion: 57.69% / [[158, 52, 20], [56, 93, 26], [18, 48, 49]] ------------------------------ Epoch 1974 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.154399 - Iter 024 / 025, Loss: 0.018121 * Train accuracy / confusion: 96.88% / [[354, 2, 2], [12, 253, 2], [3, 4, 168]], * Val accuracy / confusion: 58.65% / [[162, 41, 27], [60, 88, 27], [25, 35, 55]] ------------------------------ Epoch 1975 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.127268 - Iter 024 / 025, Loss: 0.020070 * Train accuracy / confusion: 98.25% / [[351, 3, 0], [5, 263, 2], [1, 3, 172]], * Val accuracy / confusion: 59.81% / [[161, 43, 26], [51, 101, 23], [23, 43, 49]] ------------------------------ Epoch 1976 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.059115 - Iter 024 / 025, Loss: 0.041167 * Train accuracy / confusion: 96.88% / [[352, 5, 1], [7, 252, 8], [3, 1, 171]], * Val accuracy / confusion: 59.04% / [[160, 45, 25], [47, 97, 31], [25, 40, 50]] ------------------------------ Epoch 1977 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.165858 - Iter 024 / 025, Loss: 0.014818 * Train accuracy / confusion: 98.38% / [[351, 2, 1], [5, 260, 2], [2, 1, 176]], * Val accuracy / confusion: 59.23% / [[170, 41, 19], [53, 96, 26], [25, 48, 42]] ------------------------------ Epoch 1978 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.134320 - Iter 024 / 025, Loss: 0.014516 * Train accuracy / confusion: 97.25% / [[356, 4, 5], [10, 254, 1], [1, 1, 168]], * Val accuracy / confusion: 58.08% / [[163, 43, 24], [52, 93, 30], [26, 43, 46]] ------------------------------ Epoch 1979 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.038855 - Iter 024 / 025, Loss: 0.053272 * Train accuracy / confusion: 95.88% / [[343, 8, 4], [9, 255, 3], [1, 8, 169]], * Val accuracy / confusion: 59.04% / [[162, 49, 19], [54, 98, 23], [23, 45, 47]] ------------------------------ Epoch 1980 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.009677 - Iter 024 / 025, Loss: 0.148440 * Train accuracy / confusion: 97.00% / [[345, 7, 3], [9, 257, 2], [2, 1, 174]], * Val accuracy / confusion: 58.85% / [[167, 33, 30], [62, 92, 21], [27, 41, 47]] ------------------------------ Epoch 1981 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.099258 - Iter 024 / 025, Loss: 0.014430 * Train accuracy / confusion: 97.38% / [[350, 6, 1], [8, 255, 3], [1, 2, 174]], * Val accuracy / confusion: 57.69% / [[154, 50, 26], [58, 95, 22], [24, 40, 51]] ------------------------------ Epoch 1982 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.042174 - Iter 024 / 025, Loss: 0.014511 * Train accuracy / confusion: 96.88% / [[345, 6, 2], [14, 254, 1], [2, 0, 176]], * Val accuracy / confusion: 56.73% / [[157, 47, 26], [58, 92, 25], [25, 44, 46]] ------------------------------ Epoch 1983 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.038083 - Iter 024 / 025, Loss: 0.038288 * Train accuracy / confusion: 98.00% / [[350, 6, 1], [4, 263, 2], [3, 0, 171]], * Val accuracy / confusion: 61.35% / [[164, 45, 21], [51, 102, 22], [21, 41, 53]] ------------------------------ Epoch 1984 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.078420 - Iter 024 / 025, Loss: 0.049665 * Train accuracy / confusion: 97.38% / [[354, 6, 0], [12, 252, 0], [2, 1, 173]], * Val accuracy / confusion: 59.04% / [[156, 48, 26], [53, 102, 20], [20, 46, 49]] ------------------------------ Epoch 1985 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.035399 - Iter 024 / 025, Loss: 0.050492 * Train accuracy / confusion: 97.38% / [[346, 10, 0], [7, 259, 0], [4, 0, 174]], * Val accuracy / confusion: 57.69% / [[157, 42, 31], [54, 97, 24], [22, 47, 46]] ------------------------------ Epoch 1986 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.052146 - Iter 024 / 025, Loss: 0.023424 * Train accuracy / confusion: 98.00% / [[350, 5, 3], [4, 261, 2], [1, 1, 173]], * Val accuracy / confusion: 59.04% / [[160, 45, 25], [53, 97, 25], [20, 45, 50]] ------------------------------ Epoch 1987 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.014127 - Iter 024 / 025, Loss: 0.009451 * Train accuracy / confusion: 98.00% / [[352, 3, 1], [6, 258, 4], [0, 2, 174]], * Val accuracy / confusion: 58.27% / [[155, 46, 29], [50, 104, 21], [22, 49, 44]] ------------------------------ Epoch 1988 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.040237 - Iter 024 / 025, Loss: 0.033726 * Train accuracy / confusion: 97.38% / [[346, 4, 3], [8, 260, 3], [2, 1, 173]], * Val accuracy / confusion: 60.58% / [[168, 40, 22], [49, 98, 28], [22, 44, 49]] ------------------------------ Epoch 1989 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.080571 - Iter 024 / 025, Loss: 0.022602 * Train accuracy / confusion: 97.25% / [[352, 2, 2], [11, 253, 4], [0, 3, 173]], * Val accuracy / confusion: 60.19% / [[166, 42, 22], [47, 98, 30], [24, 42, 49]] ------------------------------ Epoch 1990 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.025306 - Iter 024 / 025, Loss: 0.298270 * Train accuracy / confusion: 97.12% / [[349, 7, 0], [6, 257, 3], [4, 3, 171]], * Val accuracy / confusion: 57.50% / [[156, 38, 36], [51, 98, 26], [22, 48, 45]] ------------------------------ Epoch 1991 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.217130 - Iter 024 / 025, Loss: 0.094833 * Train accuracy / confusion: 97.00% / [[346, 5, 1], [11, 259, 1], [4, 2, 171]], * Val accuracy / confusion: 57.12% / [[156, 48, 26], [56, 89, 30], [22, 41, 52]] ------------------------------ Epoch 1992 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.035293 - Iter 024 / 025, Loss: 0.036631 * Train accuracy / confusion: 97.88% / [[350, 7, 2], [5, 260, 1], [1, 1, 173]], * Val accuracy / confusion: 59.81% / [[159, 47, 24], [49, 103, 23], [19, 47, 49]] ------------------------------ Epoch 1993 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.020318 - Iter 024 / 025, Loss: 0.024286 * Train accuracy / confusion: 98.88% / [[356, 2, 0], [2, 266, 2], [2, 1, 169]], * Val accuracy / confusion: 58.46% / [[157, 44, 29], [54, 95, 26], [23, 40, 52]] ------------------------------ Epoch 1994 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.008709 - Iter 024 / 025, Loss: 0.053018 * Train accuracy / confusion: 97.12% / [[350, 6, 2], [9, 256, 2], [1, 3, 171]], * Val accuracy / confusion: 56.92% / [[155, 47, 28], [55, 99, 21], [26, 47, 42]] ------------------------------ Epoch 1995 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.024813 - Iter 024 / 025, Loss: 0.086714 * Train accuracy / confusion: 97.62% / [[347, 4, 0], [9, 261, 3], [1, 2, 173]], * Val accuracy / confusion: 59.62% / [[168, 35, 27], [57, 95, 23], [23, 45, 47]] ------------------------------ Epoch 1996 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.034565 - Iter 024 / 025, Loss: 0.045228 * Train accuracy / confusion: 97.25% / [[350, 4, 1], [12, 254, 1], [0, 4, 174]], * Val accuracy / confusion: 59.62% / [[158, 46, 26], [50, 101, 24], [21, 43, 51]] ------------------------------ Epoch 1997 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.017803 - Iter 024 / 025, Loss: 0.009277 * Train accuracy / confusion: 97.50% / [[353, 2, 2], [10, 256, 0], [1, 5, 171]], * Val accuracy / confusion: 56.73% / [[146, 56, 28], [46, 98, 31], [18, 46, 51]] ------------------------------ Epoch 1998 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.026900 - Iter 024 / 025, Loss: 0.053473 * Train accuracy / confusion: 98.00% / [[353, 5, 0], [7, 254, 2], [1, 1, 177]], * Val accuracy / confusion: 59.23% / [[160, 46, 24], [55, 103, 17], [25, 45, 45]] ------------------------------ Epoch 1999 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.030129 - Iter 024 / 025, Loss: 0.154644 * Train accuracy / confusion: 96.25% / [[344, 9, 3], [8, 260, 3], [6, 1, 166]], * Val accuracy / confusion: 58.65% / [[162, 43, 25], [58, 96, 21], [17, 51, 47]] ------------------------------ Epoch 2000 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.069880 - Iter 024 / 025, Loss: 0.010213 * Train accuracy / confusion: 97.12% / [[349, 6, 2], [10, 253, 2], [1, 2, 175]], * Val accuracy / confusion: 57.88% / [[156, 46, 28], [50, 100, 25], [27, 43, 45]] **************************************** Training Ends ****************************************
- Test accuracy (last model): 57.79% - Confusion matrix (last model): [[1002 349 59] [ 260 414 346] [ 116 187 387]]
- Test accuracy (best model): 58.72% - Confusion matrix (best model): [[1136 209 65] [ 401 403 216] [ 150 247 293]]
# checkpoint save path
if save_checkpoint:
os.makedirs('checkpoint/', exist_ok=True)
today = datetime.date.today()
torch.save(best_model_state, f'checkpoint/{today.year % 100}{today.month:02d}{today.day}_{nb_fname}_ResNet_best')
torch.save(last_model_state, f'checkpoint/{today.year % 100}{today.month:02d}{today.day}_{nb_fname}_ResNet_last')
print('- Debug table:')
pprint.pp(last_test_debug, indent=2, width=100)
- Debug table:
{ '00299': {'GT': 0, 'Acc': ' 66.67%', 'Pred': [20, 4, 6], 'edfname': '00671212_160819'},
'00854': {'GT': 0, 'Acc': ' 86.67%', 'Pred': [26, 4, 0], 'edfname': '01138301_230114'},
'01026': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01225123_050815'},
'00176': {'GT': 0, 'Acc': ' 86.67%', 'Pred': [26, 2, 2], 'edfname': '00602435_270217'},
'00591': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '00896386_240914'},
'01069': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01243158_301115'},
'00414': {'GT': 2, 'Acc': ' 0.00%', 'Pred': [27, 3, 0], 'edfname': '00743464_220316'},
'01184': {'GT': 2, 'Acc': ' 16.67%', 'Pred': [22, 3, 5], 'edfname': '01303263_281116'},
'01250': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [27, 0, 3], 'edfname': '01342444_141118'},
'00516': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '00823206_130514'},
'01039': {'GT': 1, 'Acc': ' 96.67%', 'Pred': [1, 29, 0], 'edfname': '01235034_290120'},
'01071': {'GT': 2, 'Acc': ' 93.33%', 'Pred': [2, 0, 28], 'edfname': '01246499_301115'},
'00022': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [4, 0, 26], 'edfname': '00158517_110116'},
'00913': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01151967_160414'},
'00820': {'GT': 1, 'Acc': ' 6.67%', 'Pred': [17, 2, 11], 'edfname': '01127836_221116'},
'00122': {'GT': 0, 'Acc': ' 46.67%', 'Pred': [14, 16, 0], 'edfname': '00416942_190516'},
'00439': {'GT': 0, 'Acc': ' 83.33%', 'Pred': [25, 5, 0], 'edfname': '00760780_141118'},
'00860': {'GT': 2, 'Acc': '100.00%', 'Pred': [0, 0, 30], 'edfname': '01139924_140717'},
'01180': {'GT': 2, 'Acc': ' 96.67%', 'Pred': [0, 1, 29], 'edfname': '01301982_230118'},
'01349': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [3, 0, 27], 'edfname': '01408549_031218'},
'01105': {'GT': 0, 'Acc': ' 13.33%', 'Pred': [4, 26, 0], 'edfname': '01266696_110516'},
'00671': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '00958455_200917'},
'00531': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '00840844_250119'},
'00192': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 1, 0], 'edfname': '00608961_131118'},
'00680': {'GT': 1, 'Acc': '100.00%', 'Pred': [0, 30, 0], 'edfname': '00963680_280519'},
'01156': {'GT': 1, 'Acc': ' 96.67%', 'Pred': [1, 29, 0], 'edfname': '01293646_120719'},
'00417': {'GT': 2, 'Acc': ' 90.00%', 'Pred': [1, 2, 27], 'edfname': '00745209_041018'},
'00736': {'GT': 2, 'Acc': '100.00%', 'Pred': [0, 0, 30], 'edfname': '01019016_241115'},
'00949': {'GT': 1, 'Acc': ' 6.67%', 'Pred': [5, 2, 23], 'edfname': '01174162_090817'},
'01172': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [0, 0, 30], 'edfname': '01298381_281016'},
'01307': {'GT': 0, 'Acc': ' 86.67%', 'Pred': [26, 4, 0], 'edfname': '01376302_060718'},
'00058': {'GT': 0, 'Acc': ' 86.67%', 'Pred': [26, 4, 0], 'edfname': '00285244_020414'},
'00124': {'GT': 0, 'Acc': ' 93.33%', 'Pred': [28, 2, 0], 'edfname': '00418981_060116'},
'00508': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '00817022_010415'},
'00415': {'GT': 1, 'Acc': ' 6.67%', 'Pred': [20, 2, 8], 'edfname': '00744497_260517'},
'00408': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 0, 1], 'edfname': '00740750_110315'},
'00385': {'GT': 0, 'Acc': ' 30.00%', 'Pred': [9, 21, 0], 'edfname': '00723232_270318'},
'01125': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01276737_300616'},
'01330': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01392885_240718'},
'00329': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 1, 0], 'edfname': '00685248_150414'},
'00649': {'GT': 2, 'Acc': ' 0.00%', 'Pred': [2, 28, 0], 'edfname': '00951066_131217'},
'00900': {'GT': 0, 'Acc': ' 43.33%', 'Pred': [13, 4, 13], 'edfname': '01147100'},
'00062': {'GT': 1, 'Acc': ' 23.33%', 'Pred': [3, 7, 20], 'edfname': '00287432_110518'},
'00405': {'GT': 2, 'Acc': ' 96.67%', 'Pred': [1, 0, 29], 'edfname': '00739864_070717'},
'01066': {'GT': 0, 'Acc': ' 3.33%', 'Pred': [1, 29, 0], 'edfname': '01242983_071215'},
'00938': {'GT': 0, 'Acc': ' 0.00%', 'Pred': [0, 28, 2], 'edfname': '01161826_050916'},
'00881': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 1, 0], 'edfname': '01141790_190214'},
'00096': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '00369252_131216'},
'01165': {'GT': 0, 'Acc': ' 6.67%', 'Pred': [2, 28, 0], 'edfname': '01296533_281116'},
'00697': {'GT': 0, 'Acc': ' 0.00%', 'Pred': [0, 5, 25], 'edfname': '00983533_290618'},
'01037': {'GT': 1, 'Acc': '100.00%', 'Pred': [0, 30, 0], 'edfname': '01235034_120220'},
'00599': {'GT': 1, 'Acc': ' 93.33%', 'Pred': [0, 28, 2], 'edfname': '00901507_051018'},
'00798': {'GT': 2, 'Acc': '100.00%', 'Pred': [0, 0, 30], 'edfname': '01094597_300318'},
'00917': {'GT': 0, 'Acc': ' 66.67%', 'Pred': [20, 7, 3], 'edfname': '01154159_230414'},
'00828': {'GT': 2, 'Acc': ' 66.67%', 'Pred': [8, 2, 20], 'edfname': '01131959_310118'},
'00226': {'GT': 2, 'Acc': ' 83.33%', 'Pred': [0, 5, 25], 'edfname': '00626957_040417'},
'00280': {'GT': 2, 'Acc': ' 13.33%', 'Pred': [2, 24, 4], 'edfname': '00658017_180917'},
'00623': {'GT': 2, 'Acc': ' 36.67%', 'Pred': [2, 17, 11], 'edfname': '00926040_121219'},
'01203': {'GT': 2, 'Acc': ' 10.00%', 'Pred': [27, 0, 3], 'edfname': '01312293_120417'},
'00793': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 1, 0], 'edfname': '01086373_020615'},
'00447': {'GT': 1, 'Acc': ' 23.33%', 'Pred': [2, 7, 21], 'edfname': '00764842_070514'},
'00125': {'GT': 0, 'Acc': ' 16.67%', 'Pred': [5, 25, 0], 'edfname': '00418981_090316'},
'00698': {'GT': 1, 'Acc': ' 93.33%', 'Pred': [0, 28, 2], 'edfname': '00984999_021117'},
'00756': {'GT': 1, 'Acc': ' 46.67%', 'Pred': [16, 14, 0], 'edfname': '01035162_180119'},
'00498': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [30, 0, 0], 'edfname': '00809366_050116'},
'00243': {'GT': 1, 'Acc': '100.00%', 'Pred': [0, 30, 0], 'edfname': '00635487_161019'},
'00004': {'GT': 2, 'Acc': ' 86.67%', 'Pred': [4, 0, 26], 'edfname': '00048377_070819'},
'01364': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [0, 0, 30], 'edfname': '01418070_200819'},
'00603': {'GT': 2, 'Acc': ' 83.33%', 'Pred': [0, 5, 25], 'edfname': '00906868_071216'},
'00174': {'GT': 2, 'Acc': ' 0.00%', 'Pred': [5, 25, 0], 'edfname': '00601765_231118'},
'00301': {'GT': 1, 'Acc': ' 30.00%', 'Pred': [0, 9, 21], 'edfname': '00671744_060418'},
'00885': {'GT': 0, 'Acc': ' 73.33%', 'Pred': [22, 5, 3], 'edfname': '01142810_180214'},
'00289': {'GT': 2, 'Acc': ' 20.00%', 'Pred': [0, 24, 6], 'edfname': '00665084_280219'},
'01138': {'GT': 0, 'Acc': ' 93.33%', 'Pred': [28, 2, 0], 'edfname': '01281605_070716'},
'00821': {'GT': 0, 'Acc': ' 0.00%', 'Pred': [0, 30, 0], 'edfname': '01128393_300715'},
'00870': {'GT': 0, 'Acc': ' 60.00%', 'Pred': [18, 12, 0], 'edfname': '01139947_120214'},
'01215': {'GT': 0, 'Acc': ' 63.33%', 'Pred': [19, 11, 0], 'edfname': '01321744_130417'},
'00389': {'GT': 1, 'Acc': ' 93.33%', 'Pred': [2, 28, 0], 'edfname': '00727364_231118'},
'00635': {'GT': 2, 'Acc': ' 40.00%', 'Pred': [3, 15, 12], 'edfname': '00939852_140214'},
'00923': {'GT': 0, 'Acc': ' 0.00%', 'Pred': [0, 30, 0], 'edfname': '01155730_070514'},
'00815': {'GT': 0, 'Acc': ' 90.00%', 'Pred': [27, 2, 1], 'edfname': '01125477_030918'},
'00302': {'GT': 1, 'Acc': ' 60.00%', 'Pred': [0, 18, 12], 'edfname': '00671744_060718'},
'01148': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [0, 0, 30], 'edfname': '01286604_220218'},
'01295': {'GT': 2, 'Acc': ' 3.33%', 'Pred': [10, 19, 1], 'edfname': '01367495_310118'},
'00220': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [26, 0, 4], 'edfname': '00621729_020616'},
'01240': {'GT': 1, 'Acc': ' 26.67%', 'Pred': [22, 8, 0], 'edfname': '01338642_081119'},
'00005': {'GT': 2, 'Acc': ' 73.33%', 'Pred': [0, 8, 22], 'edfname': '00048377_070916'},
'00504': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '00813343_041218'},
'01045': {'GT': 0, 'Acc': ' 93.33%', 'Pred': [28, 2, 0], 'edfname': '01235281_191015'},
'01038': {'GT': 1, 'Acc': ' 46.67%', 'Pred': [0, 14, 16], 'edfname': '01235034_260220'},
'01014': {'GT': 1, 'Acc': ' 40.00%', 'Pred': [18, 12, 0], 'edfname': '01215115_270715'},
'00741': {'GT': 0, 'Acc': ' 90.00%', 'Pred': [27, 1, 2], 'edfname': '01025734_280715'},
'00767': {'GT': 1, 'Acc': ' 83.33%', 'Pred': [0, 25, 5], 'edfname': '01055291_230517'},
'00305': {'GT': 1, 'Acc': ' 40.00%', 'Pred': [1, 12, 17], 'edfname': '00673505_020419'},
'00851': {'GT': 0, 'Acc': ' 30.00%', 'Pred': [9, 21, 0], 'edfname': '01138297_230114'},
'00730': {'GT': 0, 'Acc': ' 80.00%', 'Pred': [24, 6, 0], 'edfname': '01011922_270815'},
'00407': {'GT': 1, 'Acc': ' 3.33%', 'Pred': [28, 1, 1], 'edfname': '00740694_110315'},
'01305': {'GT': 1, 'Acc': ' 70.00%', 'Pred': [4, 21, 5], 'edfname': '01372947_240518'},
'01080': {'GT': 2, 'Acc': ' 80.00%', 'Pred': [0, 6, 24], 'edfname': '01252335_211016'},
'01007': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 0, 1], 'edfname': '01211467_070415'},
'00455': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [0, 0, 30], 'edfname': '00771910_121016'},
'00588': {'GT': 0, 'Acc': ' 70.00%', 'Pred': [21, 9, 0], 'edfname': '00895530_090616'},
'01268': {'GT': 1, 'Acc': ' 93.33%', 'Pred': [0, 28, 2], 'edfname': '01351393_231019'},
'01079': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [30, 0, 0], 'edfname': '01251650_191219'}}
model = ResNet(block=BasicResBlock, conv_layers=[1, 1, 1, 1], n_fc=3,
n_input=train_dataset[0]['signal'].shape[0], n_output=3, n_start=64,
kernel_size=9, use_age=False)
model = model.to(device, dtype=torch.float32)
print(model)
print()
n = count_parameters(model)
print(f'The Number of parameters of the model: {n:,}')
ResNet(
(input_stage): Sequential(
(0): Conv1d(20, 64, kernel_size=(27,), stride=(2,), padding=(13,), bias=False)
(1): BatchNorm1d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
)
(conv_stage1): Sequential(
(0): BasicResBlock(
(conv1): Conv1d(64, 64, kernel_size=(9,), stride=(1,), padding=(4,), bias=False)
(bn1): BatchNorm1d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv1d(64, 64, kernel_size=(9,), stride=(1,), padding=(4,), bias=False)
(bn2): BatchNorm1d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
)
(1): MaxPool1d(kernel_size=3, stride=3, padding=0, dilation=1, ceil_mode=False)
)
(conv_stage2): Sequential(
(0): BasicResBlock(
(conv1): Conv1d(64, 128, kernel_size=(9,), stride=(1,), padding=(4,), bias=False)
(bn1): BatchNorm1d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv1d(128, 128, kernel_size=(9,), stride=(1,), padding=(4,), bias=False)
(bn2): BatchNorm1d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
(downsample): Sequential(
(0): Conv1d(64, 128, kernel_size=(1,), stride=(1,), bias=False)
(1): BatchNorm1d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
)
(1): MaxPool1d(kernel_size=3, stride=3, padding=0, dilation=1, ceil_mode=False)
)
(conv_stage3): Sequential(
(0): BasicResBlock(
(conv1): Conv1d(128, 256, kernel_size=(9,), stride=(1,), padding=(4,), bias=False)
(bn1): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv1d(256, 256, kernel_size=(9,), stride=(1,), padding=(4,), bias=False)
(bn2): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
(downsample): Sequential(
(0): Conv1d(128, 256, kernel_size=(1,), stride=(1,), bias=False)
(1): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
)
(1): MaxPool1d(kernel_size=3, stride=3, padding=0, dilation=1, ceil_mode=False)
)
(conv_stage4): Sequential(
(0): BasicResBlock(
(conv1): Conv1d(256, 512, kernel_size=(9,), stride=(1,), padding=(4,), bias=False)
(bn1): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(conv2): Conv1d(512, 512, kernel_size=(9,), stride=(1,), padding=(4,), bias=False)
(bn2): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(relu): ReLU(inplace=True)
(downsample): Sequential(
(0): Conv1d(256, 512, kernel_size=(1,), stride=(1,), bias=False)
(1): BatchNorm1d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
)
)
(1): MaxPool1d(kernel_size=3, stride=3, padding=0, dilation=1, ceil_mode=False)
)
(final_pool): AdaptiveAvgPool1d(output_size=1)
(fc_stage): Sequential(
(0): Sequential(
(0): Linear(in_features=512, out_features=256, bias=False)
(1): Dropout(p=0.1, inplace=False)
(2): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(3): ReLU()
)
(1): Sequential(
(0): Linear(in_features=256, out_features=128, bias=False)
(1): Dropout(p=0.1, inplace=False)
(2): BatchNorm1d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(3): ReLU()
)
(2): Sequential(
(0): Linear(in_features=128, out_features=64, bias=False)
(1): Dropout(p=0.1, inplace=False)
(2): BatchNorm1d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(3): ReLU()
)
(3): Linear(in_features=64, out_features=3, bias=True)
)
)
The Number of parameters of the model: 5,104,067
# record = learning_rate_search(model,
# min_log_lr=-4.5,
# max_log_lr=-1.4,
# trials=300,
# epochs=1)
# draw_learning_rate_record(record)
# best_log_lr = record[np.argmax(np.array([v for lr, v in record]))][0]
best_log_lr = -3.0
print('best_log_lr:', best_log_lr)
best_log_lr: -3.0
# reduce the learning after [lr_schedule_step] epochs by a factor of 10
n_epoch = 2000
lr_schedule_step = 600
log_interval = len(train_loader) // 2
loss_history = []
train_acc_history = []
val_acc_history = []
best_val_acc = 0
model.reset_weights()
optimizer = optim.AdamW(model.parameters(), lr=10 ** best_log_lr, weight_decay=0.0001)
scheduler = optim.lr_scheduler.StepLR(optimizer, step_size=lr_schedule_step, gamma=0.1)
print(f'{"*"*40} Training Starts {"*"*40}')
for epoch in tqdm(range(1, n_epoch + 1)):
print(f'{"-"*30} Epoch {epoch:03d} / {n_epoch:03d}, Learning rate: {optimizer.param_groups[-1]["lr"]:.2e} {"-"*30}')
# train
loss, train_accuracy, train_confusion = train_one_epoch(model, optimizer, log_interval)
loss_history.extend(loss)
train_acc_history.append(train_accuracy)
# validation
val_accuracy, val_confusion = check_val_accuracy(model, repeat=5)
val_acc_history.append(val_accuracy)
if best_val_acc < val_accuracy:
best_val_acc = val_accuracy
best_model_state = deepcopy(model.state_dict())
# learning rate schedule
scheduler.step()
print()
print(f'* Train accuracy / confusion: {train_accuracy:.2f}% / {train_confusion.tolist()}, ')
print(f'* Val accuracy / confusion: {val_accuracy:.2f}% / {val_confusion.tolist()}')
print()
print(f'{"*"*40} Training Ends {"*"*40}')
# draw the training loss plot
draw_loss_plot(loss_history)
draw_accuracy_history(train_acc_history, val_acc_history)
# test the last model
last_model_state = deepcopy(model.state_dict())
last_test_accuracy, last_test_confusion, last_test_debug = check_test_accuracy(model, repeat=30)
print(f'- Test accuracy (last model): {last_test_accuracy:.2f}%')
print('- Confusion matrix (last model):\n', last_test_confusion)
print()
draw_confusion(last_test_confusion)
# test the best model
model.load_state_dict(best_model_state)
best_test_accuracy, best_test_confusion, best_test_debug = check_test_accuracy(model, repeat=30)
print(f'- Test accuracy (best model): {best_test_accuracy:.2f}%')
print('- Confusion matrix (best model):\n', best_test_confusion)
print()
draw_confusion(best_test_confusion)
**************************************** Training Starts ****************************************
------------------------------ Epoch 001 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.249465 - Iter 024 / 025, Loss: 1.230810 * Train accuracy / confusion: 37.50% / [[160, 99, 99], [106, 66, 91], [76, 29, 74]], * Val accuracy / confusion: 42.88% / [[214, 15, 1], [166, 9, 0], [109, 6, 0]] ------------------------------ Epoch 002 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.172986 - Iter 024 / 025, Loss: 1.032839 * Train accuracy / confusion: 41.75% / [[260, 63, 34], [191, 55, 23], [113, 42, 19]], * Val accuracy / confusion: 44.42% / [[209, 20, 1], [153, 22, 0], [99, 16, 0]] ------------------------------ Epoch 003 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.115111 - Iter 024 / 025, Loss: 1.023363 * Train accuracy / confusion: 45.75% / [[300, 44, 11], [199, 60, 7], [138, 35, 6]], * Val accuracy / confusion: 45.58% / [[197, 25, 8], [132, 30, 13], [73, 32, 10]] ------------------------------ Epoch 004 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.036914 - Iter 024 / 025, Loss: 0.967012 * Train accuracy / confusion: 46.75% / [[294, 58, 3], [185, 72, 8], [114, 58, 8]], * Val accuracy / confusion: 48.08% / [[135, 95, 0], [60, 115, 0], [40, 75, 0]] ------------------------------ Epoch 005 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.091038 - Iter 024 / 025, Loss: 0.950062 * Train accuracy / confusion: 45.88% / [[267, 77, 9], [184, 79, 9], [102, 52, 21]], * Val accuracy / confusion: 39.04% / [[87, 96, 47], [34, 72, 69], [19, 52, 44]] ------------------------------ Epoch 006 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.082096 - Iter 024 / 025, Loss: 1.054386 * Train accuracy / confusion: 45.75% / [[272, 68, 15], [167, 74, 27], [98, 59, 20]], * Val accuracy / confusion: 47.88% / [[183, 34, 13], [115, 31, 29], [55, 25, 35]] ------------------------------ Epoch 007 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.097221 - Iter 024 / 025, Loss: 1.036091 * Train accuracy / confusion: 51.12% / [[294, 55, 12], [157, 76, 30], [78, 59, 39]], * Val accuracy / confusion: 47.69% / [[207, 19, 4], [137, 24, 14], [68, 30, 17]] ------------------------------ Epoch 008 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.924799 - Iter 024 / 025, Loss: 1.012276 * Train accuracy / confusion: 49.88% / [[284, 46, 25], [151, 68, 51], [80, 48, 47]], * Val accuracy / confusion: 32.31% / [[54, 44, 132], [27, 16, 132], [8, 9, 98]] ------------------------------ Epoch 009 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.996575 - Iter 024 / 025, Loss: 1.223481 * Train accuracy / confusion: 48.12% / [[292, 57, 6], [168, 62, 37], [83, 64, 31]], * Val accuracy / confusion: 44.62% / [[104, 126, 0], [47, 128, 0], [12, 103, 0]] ------------------------------ Epoch 010 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.892239 - Iter 024 / 025, Loss: 1.084948 * Train accuracy / confusion: 50.62% / [[270, 73, 8], [146, 90, 37], [69, 62, 45]], * Val accuracy / confusion: 45.19% / [[141, 76, 13], [89, 48, 38], [31, 38, 46]] ------------------------------ Epoch 011 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.006531 - Iter 024 / 025, Loss: 1.048880 * Train accuracy / confusion: 52.12% / [[285, 56, 17], [142, 97, 32], [63, 73, 35]], * Val accuracy / confusion: 47.31% / [[150, 74, 6], [88, 69, 18], [34, 54, 27]] ------------------------------ Epoch 012 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.869229 - Iter 024 / 025, Loss: 0.849946 * Train accuracy / confusion: 50.88% / [[277, 65, 17], [133, 92, 44], [65, 69, 38]], * Val accuracy / confusion: 50.77% / [[154, 55, 21], [78, 49, 48], [28, 26, 61]] ------------------------------ Epoch 013 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.076852 - Iter 024 / 025, Loss: 1.041556 * Train accuracy / confusion: 53.25% / [[294, 56, 7], [140, 97, 33], [69, 69, 35]], * Val accuracy / confusion: 48.85% / [[209, 20, 1], [129, 45, 1], [62, 53, 0]] ------------------------------ Epoch 014 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.960557 - Iter 024 / 025, Loss: 0.995815 * Train accuracy / confusion: 49.62% / [[280, 71, 4], [152, 101, 14], [66, 96, 16]], * Val accuracy / confusion: 42.12% / [[126, 82, 22], [67, 80, 28], [18, 84, 13]] ------------------------------ Epoch 015 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.029485 - Iter 024 / 025, Loss: 0.928824 * Train accuracy / confusion: 51.50% / [[305, 29, 17], [160, 60, 51], [80, 51, 47]], * Val accuracy / confusion: 51.73% / [[207, 18, 5], [120, 37, 18], [55, 35, 25]] ------------------------------ Epoch 016 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.924314 - Iter 024 / 025, Loss: 0.904154 * Train accuracy / confusion: 53.88% / [[300, 50, 7], [134, 117, 15], [71, 92, 14]], * Val accuracy / confusion: 50.58% / [[209, 18, 3], [121, 33, 21], [52, 42, 21]] ------------------------------ Epoch 017 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.051052 - Iter 024 / 025, Loss: 1.040575 * Train accuracy / confusion: 53.25% / [[295, 50, 15], [138, 86, 40], [63, 68, 45]], * Val accuracy / confusion: 49.42% / [[179, 45, 6], [97, 50, 28], [37, 50, 28]] ------------------------------ Epoch 018 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.938979 - Iter 024 / 025, Loss: 0.795534 * Train accuracy / confusion: 54.38% / [[301, 49, 4], [145, 102, 22], [64, 81, 32]], * Val accuracy / confusion: 49.81% / [[179, 51, 0], [97, 69, 9], [35, 69, 11]] ------------------------------ Epoch 019 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.944710 - Iter 024 / 025, Loss: 1.119693 * Train accuracy / confusion: 54.50% / [[280, 53, 22], [140, 74, 54], [51, 44, 82]], * Val accuracy / confusion: 49.04% / [[178, 39, 13], [98, 40, 37], [38, 40, 37]] ------------------------------ Epoch 020 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.949626 - Iter 024 / 025, Loss: 0.992419 * Train accuracy / confusion: 54.88% / [[279, 55, 21], [125, 82, 63], [42, 55, 78]], * Val accuracy / confusion: 47.69% / [[126, 90, 14], [61, 86, 28], [19, 60, 36]] ------------------------------ Epoch 021 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.092584 - Iter 024 / 025, Loss: 0.957448 * Train accuracy / confusion: 56.88% / [[294, 41, 23], [124, 85, 61], [52, 44, 76]], * Val accuracy / confusion: 50.19% / [[166, 36, 28], [97, 26, 52], [32, 14, 69]] ------------------------------ Epoch 022 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.937172 - Iter 024 / 025, Loss: 0.841996 * Train accuracy / confusion: 57.00% / [[290, 46, 17], [127, 94, 47], [60, 47, 72]], * Val accuracy / confusion: 48.65% / [[136, 72, 22], [74, 81, 20], [22, 57, 36]] ------------------------------ Epoch 023 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.823992 - Iter 024 / 025, Loss: 0.966842 * Train accuracy / confusion: 56.00% / [[297, 45, 19], [138, 82, 45], [40, 65, 69]], * Val accuracy / confusion: 50.00% / [[199, 14, 17], [119, 18, 38], [53, 19, 43]] ------------------------------ Epoch 024 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.863175 - Iter 024 / 025, Loss: 0.926099 * Train accuracy / confusion: 55.88% / [[286, 43, 26], [122, 74, 71], [43, 48, 87]], * Val accuracy / confusion: 52.12% / [[193, 35, 2], [112, 47, 16], [44, 40, 31]] ------------------------------ Epoch 025 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.827999 - Iter 024 / 025, Loss: 0.756724 * Train accuracy / confusion: 54.25% / [[281, 52, 23], [134, 77, 56], [51, 50, 76]], * Val accuracy / confusion: 51.92% / [[208, 15, 7], [121, 25, 29], [51, 27, 37]] ------------------------------ Epoch 026 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.829036 - Iter 024 / 025, Loss: 0.937993 * Train accuracy / confusion: 54.25% / [[284, 48, 25], [136, 70, 61], [60, 36, 80]], * Val accuracy / confusion: 54.04% / [[202, 23, 5], [111, 34, 30], [56, 14, 45]] ------------------------------ Epoch 027 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.921422 - Iter 024 / 025, Loss: 0.869173 * Train accuracy / confusion: 56.12% / [[290, 41, 25], [127, 82, 59], [54, 45, 77]], * Val accuracy / confusion: 54.23% / [[182, 41, 7], [86, 60, 29], [40, 35, 40]] ------------------------------ Epoch 028 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.002506 - Iter 024 / 025, Loss: 0.918849 * Train accuracy / confusion: 56.75% / [[301, 41, 19], [139, 72, 55], [54, 38, 81]], * Val accuracy / confusion: 50.38% / [[220, 8, 2], [147, 6, 22], [75, 4, 36]] ------------------------------ Epoch 029 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.934014 - Iter 024 / 025, Loss: 0.855361 * Train accuracy / confusion: 55.38% / [[293, 46, 20], [131, 81, 54], [57, 49, 69]], * Val accuracy / confusion: 39.42% / [[57, 169, 4], [34, 137, 4], [8, 96, 11]] ------------------------------ Epoch 030 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.917833 - Iter 024 / 025, Loss: 0.923815 * Train accuracy / confusion: 56.25% / [[288, 53, 14], [126, 98, 46], [51, 60, 64]], * Val accuracy / confusion: 49.62% / [[134, 71, 25], [69, 56, 50], [22, 25, 68]] ------------------------------ Epoch 031 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.960479 - Iter 024 / 025, Loss: 0.957677 * Train accuracy / confusion: 55.38% / [[275, 55, 26], [118, 89, 58], [52, 48, 79]], * Val accuracy / confusion: 39.62% / [[76, 55, 99], [29, 32, 114], [6, 11, 98]] ------------------------------ Epoch 032 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.855450 - Iter 024 / 025, Loss: 0.928861 * Train accuracy / confusion: 58.00% / [[287, 47, 28], [126, 84, 49], [38, 48, 93]], * Val accuracy / confusion: 50.58% / [[154, 58, 18], [80, 58, 37], [27, 37, 51]] ------------------------------ Epoch 033 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.905430 - Iter 024 / 025, Loss: 0.647815 * Train accuracy / confusion: 58.62% / [[271, 59, 25], [99, 119, 52], [42, 54, 79]], * Val accuracy / confusion: 49.42% / [[138, 84, 8], [71, 80, 24], [18, 58, 39]] ------------------------------ Epoch 034 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.867546 - Iter 024 / 025, Loss: 1.003696 * Train accuracy / confusion: 57.12% / [[283, 65, 9], [119, 108, 43], [52, 55, 66]], * Val accuracy / confusion: 54.81% / [[204, 9, 17], [122, 11, 42], [43, 2, 70]] ------------------------------ Epoch 035 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.756049 - Iter 024 / 025, Loss: 0.955435 * Train accuracy / confusion: 56.75% / [[276, 55, 21], [100, 118, 54], [48, 68, 60]], * Val accuracy / confusion: 48.46% / [[224, 3, 3], [162, 1, 12], [81, 7, 27]] ------------------------------ Epoch 036 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.940011 - Iter 024 / 025, Loss: 0.816904 * Train accuracy / confusion: 54.25% / [[275, 69, 14], [121, 98, 48], [43, 71, 61]], * Val accuracy / confusion: 47.69% / [[146, 79, 5], [84, 80, 11], [23, 70, 22]] ------------------------------ Epoch 037 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.927428 - Iter 024 / 025, Loss: 0.912124 * Train accuracy / confusion: 60.88% / [[298, 47, 15], [122, 113, 35], [51, 43, 76]], * Val accuracy / confusion: 52.12% / [[189, 31, 10], [107, 32, 36], [51, 14, 50]] ------------------------------ Epoch 038 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.850374 - Iter 024 / 025, Loss: 0.727408 * Train accuracy / confusion: 59.12% / [[271, 67, 19], [100, 104, 66], [41, 34, 98]], * Val accuracy / confusion: 47.31% / [[118, 110, 2], [55, 109, 11], [13, 83, 19]] ------------------------------ Epoch 039 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.700049 - Iter 024 / 025, Loss: 0.899653 * Train accuracy / confusion: 59.75% / [[282, 48, 24], [99, 116, 54], [45, 52, 80]], * Val accuracy / confusion: 51.35% / [[141, 65, 24], [61, 67, 47], [16, 40, 59]] ------------------------------ Epoch 040 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.836456 - Iter 024 / 025, Loss: 0.978173 * Train accuracy / confusion: 59.00% / [[291, 52, 15], [113, 98, 57], [39, 52, 83]], * Val accuracy / confusion: 51.73% / [[189, 21, 20], [112, 23, 40], [42, 16, 57]] ------------------------------ Epoch 041 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.823372 - Iter 024 / 025, Loss: 0.965771 * Train accuracy / confusion: 59.00% / [[277, 49, 23], [107, 113, 51], [48, 50, 82]], * Val accuracy / confusion: 46.54% / [[106, 95, 29], [59, 78, 38], [15, 42, 58]] ------------------------------ Epoch 042 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.860552 - Iter 024 / 025, Loss: 0.729258 * Train accuracy / confusion: 57.25% / [[283, 47, 21], [128, 85, 59], [40, 47, 90]], * Val accuracy / confusion: 50.96% / [[176, 11, 43], [82, 5, 88], [31, 0, 84]] ------------------------------ Epoch 043 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.991124 - Iter 024 / 025, Loss: 0.831281 * Train accuracy / confusion: 59.12% / [[275, 59, 21], [108, 115, 49], [40, 50, 83]], * Val accuracy / confusion: 40.96% / [[62, 156, 12], [25, 119, 31], [7, 76, 32]] ------------------------------ Epoch 044 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.771866 - Iter 024 / 025, Loss: 0.870784 * Train accuracy / confusion: 58.00% / [[291, 57, 11], [113, 103, 49], [39, 67, 70]], * Val accuracy / confusion: 48.65% / [[158, 8, 64], [83, 8, 84], [25, 3, 87]] ------------------------------ Epoch 045 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.871247 - Iter 024 / 025, Loss: 0.998139 * Train accuracy / confusion: 58.50% / [[288, 40, 26], [118, 92, 59], [41, 48, 88]], * Val accuracy / confusion: 49.42% / [[217, 11, 2], [143, 19, 13], [72, 22, 21]] ------------------------------ Epoch 046 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.754725 - Iter 024 / 025, Loss: 0.751199 * Train accuracy / confusion: 60.88% / [[284, 48, 25], [104, 109, 52], [33, 51, 94]], * Val accuracy / confusion: 53.46% / [[207, 12, 11], [120, 9, 46], [45, 8, 62]] ------------------------------ Epoch 047 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.991185 - Iter 024 / 025, Loss: 0.777091 * Train accuracy / confusion: 56.25% / [[274, 66, 13], [124, 94, 51], [40, 56, 82]], * Val accuracy / confusion: 46.35% / [[115, 73, 42], [56, 53, 66], [11, 31, 73]] ------------------------------ Epoch 048 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.862262 - Iter 024 / 025, Loss: 0.857507 * Train accuracy / confusion: 60.62% / [[269, 55, 28], [98, 122, 51], [33, 50, 94]], * Val accuracy / confusion: 48.85% / [[150, 77, 3], [80, 87, 8], [21, 77, 17]] ------------------------------ Epoch 049 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.818090 - Iter 024 / 025, Loss: 0.674907 * Train accuracy / confusion: 58.12% / [[288, 51, 16], [118, 91, 59], [45, 46, 86]], * Val accuracy / confusion: 47.31% / [[101, 97, 32], [39, 81, 55], [11, 40, 64]] ------------------------------ Epoch 050 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.851439 - Iter 024 / 025, Loss: 0.897441 * Train accuracy / confusion: 59.50% / [[285, 54, 13], [120, 107, 42], [31, 64, 84]], * Val accuracy / confusion: 42.50% / [[78, 151, 1], [39, 124, 12], [8, 88, 19]] ------------------------------ Epoch 051 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.790862 - Iter 024 / 025, Loss: 0.819224 * Train accuracy / confusion: 57.62% / [[273, 58, 24], [116, 102, 47], [42, 52, 86]], * Val accuracy / confusion: 51.92% / [[162, 23, 45], [82, 39, 54], [25, 21, 69]] ------------------------------ Epoch 052 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.951083 - Iter 024 / 025, Loss: 0.792383 * Train accuracy / confusion: 60.25% / [[286, 53, 18], [108, 115, 42], [38, 59, 81]], * Val accuracy / confusion: 50.77% / [[172, 1, 57], [92, 2, 81], [24, 1, 90]] ------------------------------ Epoch 053 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.852961 - Iter 024 / 025, Loss: 0.906086 * Train accuracy / confusion: 58.12% / [[278, 58, 20], [114, 101, 53], [44, 46, 86]], * Val accuracy / confusion: 55.00% / [[179, 43, 8], [89, 58, 28], [32, 34, 49]] ------------------------------ Epoch 054 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.728810 - Iter 024 / 025, Loss: 0.857747 * Train accuracy / confusion: 59.00% / [[278, 58, 18], [102, 116, 49], [35, 66, 78]], * Val accuracy / confusion: 53.46% / [[194, 35, 1], [101, 63, 11], [35, 59, 21]] ------------------------------ Epoch 055 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.753288 - Iter 024 / 025, Loss: 0.940749 * Train accuracy / confusion: 61.25% / [[281, 55, 19], [107, 126, 38], [30, 61, 83]], * Val accuracy / confusion: 54.81% / [[163, 53, 14], [71, 61, 43], [22, 32, 61]] ------------------------------ Epoch 056 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.830792 - Iter 024 / 025, Loss: 0.900731 * Train accuracy / confusion: 59.38% / [[253, 82, 21], [93, 116, 58], [25, 46, 106]], * Val accuracy / confusion: 50.58% / [[141, 74, 15], [64, 71, 40], [22, 42, 51]] ------------------------------ Epoch 057 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.961959 - Iter 024 / 025, Loss: 0.748105 * Train accuracy / confusion: 60.12% / [[269, 67, 17], [92, 120, 59], [32, 52, 92]], * Val accuracy / confusion: 42.69% / [[61, 159, 10], [35, 115, 25], [7, 62, 46]] ------------------------------ Epoch 058 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.968222 - Iter 024 / 025, Loss: 0.832633 * Train accuracy / confusion: 58.75% / [[286, 53, 18], [125, 98, 45], [34, 55, 86]], * Val accuracy / confusion: 50.96% / [[166, 23, 41], [85, 24, 66], [24, 16, 75]] ------------------------------ Epoch 059 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.727210 - Iter 024 / 025, Loss: 0.738274 * Train accuracy / confusion: 60.50% / [[285, 54, 16], [115, 112, 42], [35, 54, 87]], * Val accuracy / confusion: 53.08% / [[170, 46, 14], [85, 52, 38], [24, 37, 54]] ------------------------------ Epoch 060 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.884007 - Iter 024 / 025, Loss: 0.863246 * Train accuracy / confusion: 60.25% / [[297, 49, 15], [118, 95, 52], [45, 39, 90]], * Val accuracy / confusion: 51.92% / [[139, 35, 56], [62, 41, 72], [16, 9, 90]] ------------------------------ Epoch 061 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.751297 - Iter 024 / 025, Loss: 0.896720 * Train accuracy / confusion: 61.88% / [[298, 49, 14], [113, 119, 33], [39, 57, 78]], * Val accuracy / confusion: 51.73% / [[216, 13, 1], [135, 27, 13], [61, 28, 26]] ------------------------------ Epoch 062 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.741350 - Iter 024 / 025, Loss: 0.801011 * Train accuracy / confusion: 61.25% / [[283, 55, 17], [102, 124, 45], [32, 59, 83]], * Val accuracy / confusion: 42.31% / [[71, 157, 2], [38, 131, 6], [9, 88, 18]] ------------------------------ Epoch 063 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.758555 - Iter 024 / 025, Loss: 0.882616 * Train accuracy / confusion: 62.12% / [[274, 57, 25], [91, 129, 42], [35, 53, 94]], * Val accuracy / confusion: 51.54% / [[168, 55, 7], [96, 52, 27], [25, 42, 48]] ------------------------------ Epoch 064 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.720469 - Iter 024 / 025, Loss: 0.952476 * Train accuracy / confusion: 62.25% / [[279, 58, 14], [92, 126, 49], [37, 52, 93]], * Val accuracy / confusion: 37.69% / [[35, 112, 83], [21, 91, 63], [2, 43, 70]] ------------------------------ Epoch 065 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.027053 - Iter 024 / 025, Loss: 0.971525 * Train accuracy / confusion: 62.62% / [[273, 63, 18], [84, 132, 52], [26, 56, 96]], * Val accuracy / confusion: 52.50% / [[150, 53, 27], [73, 43, 59], [16, 19, 80]] ------------------------------ Epoch 066 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.676589 - Iter 024 / 025, Loss: 0.779581 * Train accuracy / confusion: 60.12% / [[273, 60, 22], [103, 118, 46], [34, 54, 90]], * Val accuracy / confusion: 51.73% / [[152, 78, 0], [72, 94, 9], [23, 69, 23]] ------------------------------ Epoch 067 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.728990 - Iter 024 / 025, Loss: 0.995388 * Train accuracy / confusion: 60.38% / [[276, 62, 16], [103, 121, 45], [35, 56, 86]], * Val accuracy / confusion: 50.38% / [[139, 86, 5], [64, 102, 9], [11, 83, 21]] ------------------------------ Epoch 068 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.956822 - Iter 024 / 025, Loss: 0.832081 * Train accuracy / confusion: 59.75% / [[260, 77, 16], [97, 127, 45], [33, 54, 91]], * Val accuracy / confusion: 54.62% / [[174, 28, 28], [79, 25, 71], [23, 7, 85]] ------------------------------ Epoch 069 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.019109 - Iter 024 / 025, Loss: 0.917291 * Train accuracy / confusion: 60.62% / [[272, 67, 21], [96, 126, 46], [33, 52, 87]], * Val accuracy / confusion: 55.58% / [[166, 39, 25], [79, 54, 42], [18, 28, 69]] ------------------------------ Epoch 070 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.871496 - Iter 024 / 025, Loss: 1.118826 * Train accuracy / confusion: 62.88% / [[277, 63, 13], [98, 129, 43], [26, 54, 97]], * Val accuracy / confusion: 50.19% / [[113, 105, 12], [52, 93, 30], [5, 55, 55]] ------------------------------ Epoch 071 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.909804 - Iter 024 / 025, Loss: 0.920955 * Train accuracy / confusion: 61.12% / [[280, 60, 19], [96, 123, 47], [37, 52, 86]], * Val accuracy / confusion: 53.65% / [[216, 13, 1], [136, 14, 25], [54, 12, 49]] ------------------------------ Epoch 072 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.701298 - Iter 024 / 025, Loss: 0.957742 * Train accuracy / confusion: 62.50% / [[294, 47, 16], [93, 118, 53], [38, 53, 88]], * Val accuracy / confusion: 50.96% / [[130, 67, 33], [59, 57, 59], [8, 29, 78]] ------------------------------ Epoch 073 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.940042 - Iter 024 / 025, Loss: 0.788019 * Train accuracy / confusion: 62.62% / [[266, 67, 25], [80, 136, 51], [29, 47, 99]], * Val accuracy / confusion: 50.96% / [[123, 103, 4], [62, 99, 14], [16, 56, 43]] ------------------------------ Epoch 074 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.037567 - Iter 024 / 025, Loss: 0.941701 * Train accuracy / confusion: 61.75% / [[269, 67, 20], [82, 130, 58], [25, 54, 95]], * Val accuracy / confusion: 51.15% / [[220, 0, 10], [149, 0, 26], [69, 0, 46]] ------------------------------ Epoch 075 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.900867 - Iter 024 / 025, Loss: 0.663928 * Train accuracy / confusion: 60.50% / [[280, 57, 16], [104, 102, 59], [33, 47, 102]], * Val accuracy / confusion: 49.81% / [[184, 46, 0], [102, 69, 4], [36, 73, 6]] ------------------------------ Epoch 076 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.899720 - Iter 024 / 025, Loss: 0.864669 * Train accuracy / confusion: 59.50% / [[274, 55, 27], [107, 108, 54], [29, 52, 94]], * Val accuracy / confusion: 47.69% / [[125, 46, 59], [65, 40, 70], [14, 18, 83]] ------------------------------ Epoch 077 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.790321 - Iter 024 / 025, Loss: 0.807480 * Train accuracy / confusion: 62.75% / [[282, 66, 10], [92, 128, 48], [30, 52, 92]], * Val accuracy / confusion: 42.88% / [[60, 167, 3], [25, 135, 15], [0, 87, 28]] ------------------------------ Epoch 078 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.808149 - Iter 024 / 025, Loss: 0.998337 * Train accuracy / confusion: 61.38% / [[271, 56, 24], [87, 128, 58], [40, 44, 92]], * Val accuracy / confusion: 39.62% / [[93, 6, 131], [41, 12, 122], [11, 3, 101]] ------------------------------ Epoch 079 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.109873 - Iter 024 / 025, Loss: 0.903985 * Train accuracy / confusion: 61.50% / [[259, 78, 22], [79, 149, 42], [34, 53, 84]], * Val accuracy / confusion: 51.92% / [[208, 21, 1], [120, 50, 5], [56, 47, 12]] ------------------------------ Epoch 080 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.792028 - Iter 024 / 025, Loss: 0.667380 * Train accuracy / confusion: 62.88% / [[277, 65, 11], [77, 149, 41], [30, 73, 77]], * Val accuracy / confusion: 50.96% / [[99, 117, 14], [38, 112, 25], [6, 55, 54]] ------------------------------ Epoch 081 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.857992 - Iter 024 / 025, Loss: 0.821113 * Train accuracy / confusion: 64.50% / [[283, 53, 16], [85, 140, 44], [38, 48, 93]], * Val accuracy / confusion: 52.69% / [[160, 46, 24], [84, 48, 43], [25, 24, 66]] ------------------------------ Epoch 082 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.855110 - Iter 024 / 025, Loss: 0.758197 * Train accuracy / confusion: 63.62% / [[275, 66, 17], [75, 143, 46], [26, 61, 91]], * Val accuracy / confusion: 52.50% / [[139, 80, 11], [53, 103, 19], [15, 69, 31]] ------------------------------ Epoch 083 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.769996 - Iter 024 / 025, Loss: 0.817527 * Train accuracy / confusion: 62.25% / [[282, 54, 18], [102, 123, 44], [28, 56, 93]], * Val accuracy / confusion: 47.12% / [[98, 101, 31], [47, 96, 32], [7, 57, 51]] ------------------------------ Epoch 084 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.839616 - Iter 024 / 025, Loss: 0.723801 * Train accuracy / confusion: 62.25% / [[271, 69, 16], [80, 139, 49], [30, 58, 88]], * Val accuracy / confusion: 54.04% / [[145, 80, 5], [69, 79, 27], [19, 39, 57]] ------------------------------ Epoch 085 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.864774 - Iter 024 / 025, Loss: 0.775590 * Train accuracy / confusion: 62.50% / [[285, 56, 17], [87, 133, 50], [30, 60, 82]], * Val accuracy / confusion: 53.27% / [[210, 15, 5], [131, 24, 20], [53, 19, 43]] ------------------------------ Epoch 086 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.686615 - Iter 024 / 025, Loss: 0.775965 * Train accuracy / confusion: 65.12% / [[289, 57, 15], [90, 137, 36], [27, 54, 95]], * Val accuracy / confusion: 55.38% / [[169, 58, 3], [77, 80, 18], [25, 51, 39]] ------------------------------ Epoch 087 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.668868 - Iter 024 / 025, Loss: 0.833023 * Train accuracy / confusion: 63.62% / [[278, 62, 16], [86, 133, 48], [26, 53, 98]], * Val accuracy / confusion: 50.38% / [[148, 76, 6], [75, 87, 13], [22, 66, 27]] ------------------------------ Epoch 088 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.786424 - Iter 024 / 025, Loss: 0.632348 * Train accuracy / confusion: 62.12% / [[269, 69, 16], [81, 144, 45], [32, 60, 84]], * Val accuracy / confusion: 50.19% / [[136, 87, 7], [69, 80, 26], [11, 59, 45]] ------------------------------ Epoch 089 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.843992 - Iter 024 / 025, Loss: 0.921154 * Train accuracy / confusion: 63.25% / [[282, 60, 17], [92, 129, 46], [26, 53, 95]], * Val accuracy / confusion: 55.00% / [[211, 7, 12], [122, 7, 46], [43, 4, 68]] ------------------------------ Epoch 090 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.757848 - Iter 024 / 025, Loss: 0.980814 * Train accuracy / confusion: 62.75% / [[290, 50, 16], [99, 125, 46], [36, 51, 87]], * Val accuracy / confusion: 51.73% / [[159, 64, 7], [67, 79, 29], [20, 64, 31]] ------------------------------ Epoch 091 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.920701 - Iter 024 / 025, Loss: 0.938866 * Train accuracy / confusion: 61.62% / [[280, 67, 12], [83, 138, 48], [31, 66, 75]], * Val accuracy / confusion: 50.58% / [[196, 27, 7], [125, 24, 26], [49, 23, 43]] ------------------------------ Epoch 092 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.603272 - Iter 024 / 025, Loss: 0.723055 * Train accuracy / confusion: 62.50% / [[269, 77, 12], [85, 140, 43], [20, 63, 91]], * Val accuracy / confusion: 47.88% / [[118, 94, 18], [64, 79, 32], [12, 51, 52]] ------------------------------ Epoch 093 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.856117 - Iter 024 / 025, Loss: 0.714298 * Train accuracy / confusion: 62.38% / [[276, 59, 19], [82, 139, 46], [27, 68, 84]], * Val accuracy / confusion: 50.38% / [[176, 26, 28], [101, 13, 61], [29, 13, 73]] ------------------------------ Epoch 094 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.838297 - Iter 024 / 025, Loss: 0.959560 * Train accuracy / confusion: 63.38% / [[286, 59, 11], [89, 129, 52], [26, 56, 92]], * Val accuracy / confusion: 47.12% / [[139, 89, 2], [69, 96, 10], [15, 90, 10]] ------------------------------ Epoch 095 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.616352 - Iter 024 / 025, Loss: 0.870089 * Train accuracy / confusion: 63.62% / [[277, 54, 27], [79, 141, 44], [33, 54, 91]], * Val accuracy / confusion: 53.85% / [[174, 47, 9], [89, 60, 26], [27, 42, 46]] ------------------------------ Epoch 096 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.787795 - Iter 024 / 025, Loss: 0.784973 * Train accuracy / confusion: 63.75% / [[279, 59, 17], [85, 137, 48], [27, 54, 94]], * Val accuracy / confusion: 43.08% / [[89, 86, 55], [43, 63, 69], [4, 39, 72]] ------------------------------ Epoch 097 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.683472 - Iter 024 / 025, Loss: 0.892438 * Train accuracy / confusion: 64.50% / [[289, 54, 11], [85, 139, 48], [30, 56, 88]], * Val accuracy / confusion: 52.50% / [[174, 21, 35], [92, 21, 62], [26, 11, 78]] ------------------------------ Epoch 098 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.719750 - Iter 024 / 025, Loss: 0.852798 * Train accuracy / confusion: 62.50% / [[289, 58, 10], [100, 122, 48], [28, 56, 89]], * Val accuracy / confusion: 51.35% / [[158, 67, 5], [78, 88, 9], [20, 74, 21]] ------------------------------ Epoch 099 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.760571 - Iter 024 / 025, Loss: 1.033910 * Train accuracy / confusion: 65.38% / [[291, 52, 18], [85, 136, 45], [25, 52, 96]], * Val accuracy / confusion: 49.81% / [[117, 91, 22], [58, 80, 37], [12, 41, 62]] ------------------------------ Epoch 100 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.796749 - Iter 024 / 025, Loss: 0.800880 * Train accuracy / confusion: 63.62% / [[278, 56, 22], [87, 137, 42], [29, 55, 94]], * Val accuracy / confusion: 44.23% / [[88, 60, 82], [40, 50, 85], [5, 18, 92]] ------------------------------ Epoch 101 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.862858 - Iter 024 / 025, Loss: 0.709506 * Train accuracy / confusion: 63.62% / [[268, 67, 16], [82, 141, 51], [29, 46, 100]], * Val accuracy / confusion: 50.58% / [[175, 52, 3], [98, 72, 5], [30, 69, 16]] ------------------------------ Epoch 102 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.873779 - Iter 024 / 025, Loss: 0.646447 * Train accuracy / confusion: 63.88% / [[289, 52, 19], [96, 127, 44], [29, 49, 95]], * Val accuracy / confusion: 46.35% / [[132, 23, 75], [66, 18, 91], [19, 5, 91]] ------------------------------ Epoch 103 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.768094 - Iter 024 / 025, Loss: 0.620442 * Train accuracy / confusion: 62.50% / [[284, 57, 20], [91, 133, 40], [45, 47, 83]], * Val accuracy / confusion: 52.50% / [[210, 15, 5], [131, 10, 34], [54, 8, 53]] ------------------------------ Epoch 104 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.763981 - Iter 024 / 025, Loss: 0.637067 * Train accuracy / confusion: 65.88% / [[290, 56, 14], [82, 139, 43], [32, 46, 98]], * Val accuracy / confusion: 48.85% / [[160, 69, 1], [93, 77, 5], [25, 73, 17]] ------------------------------ Epoch 105 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.681115 - Iter 024 / 025, Loss: 0.849344 * Train accuracy / confusion: 64.25% / [[293, 52, 13], [111, 113, 41], [27, 42, 108]], * Val accuracy / confusion: 47.31% / [[106, 120, 4], [55, 105, 15], [12, 68, 35]] ------------------------------ Epoch 106 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.712346 - Iter 024 / 025, Loss: 0.691809 * Train accuracy / confusion: 64.38% / [[277, 61, 14], [77, 138, 56], [27, 50, 100]], * Val accuracy / confusion: 51.35% / [[110, 106, 14], [46, 95, 34], [11, 42, 62]] ------------------------------ Epoch 107 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.655111 - Iter 024 / 025, Loss: 0.762387 * Train accuracy / confusion: 65.38% / [[278, 62, 17], [79, 147, 44], [23, 52, 98]], * Val accuracy / confusion: 37.88% / [[28, 202, 0], [6, 165, 4], [0, 111, 4]] ------------------------------ Epoch 108 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.647225 - Iter 024 / 025, Loss: 0.881700 * Train accuracy / confusion: 62.38% / [[280, 60, 16], [97, 130, 43], [41, 44, 89]], * Val accuracy / confusion: 56.92% / [[204, 17, 9], [110, 40, 25], [44, 19, 52]] ------------------------------ Epoch 109 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.804466 - Iter 024 / 025, Loss: 0.907613 * Train accuracy / confusion: 63.50% / [[293, 52, 14], [96, 126, 44], [30, 56, 89]], * Val accuracy / confusion: 53.27% / [[177, 22, 31], [91, 20, 64], [28, 7, 80]] ------------------------------ Epoch 110 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.799005 - Iter 024 / 025, Loss: 0.650135 * Train accuracy / confusion: 65.00% / [[278, 64, 16], [87, 129, 52], [26, 35, 113]], * Val accuracy / confusion: 54.62% / [[207, 11, 12], [121, 11, 43], [42, 7, 66]] ------------------------------ Epoch 111 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.750713 - Iter 024 / 025, Loss: 0.702111 * Train accuracy / confusion: 63.00% / [[289, 55, 15], [92, 119, 53], [26, 55, 96]], * Val accuracy / confusion: 52.69% / [[189, 37, 4], [107, 55, 13], [41, 44, 30]] ------------------------------ Epoch 112 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.818720 - Iter 024 / 025, Loss: 0.778770 * Train accuracy / confusion: 64.25% / [[287, 51, 18], [98, 122, 47], [26, 46, 105]], * Val accuracy / confusion: 53.65% / [[165, 60, 5], [84, 76, 15], [28, 49, 38]] ------------------------------ Epoch 113 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.758857 - Iter 024 / 025, Loss: 0.822957 * Train accuracy / confusion: 64.25% / [[283, 53, 19], [91, 132, 43], [32, 48, 99]], * Val accuracy / confusion: 49.04% / [[132, 75, 23], [65, 69, 41], [18, 43, 54]] ------------------------------ Epoch 114 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.819590 - Iter 024 / 025, Loss: 0.769235 * Train accuracy / confusion: 64.38% / [[283, 54, 22], [92, 134, 45], [31, 41, 98]], * Val accuracy / confusion: 45.77% / [[135, 91, 4], [75, 89, 11], [17, 84, 14]] ------------------------------ Epoch 115 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.669926 - Iter 024 / 025, Loss: 0.851820 * Train accuracy / confusion: 64.25% / [[287, 51, 17], [94, 121, 53], [23, 48, 106]], * Val accuracy / confusion: 50.38% / [[210, 16, 4], [144, 13, 18], [69, 7, 39]] ------------------------------ Epoch 116 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.763499 - Iter 024 / 025, Loss: 0.950689 * Train accuracy / confusion: 63.25% / [[271, 70, 10], [87, 135, 46], [25, 56, 100]], * Val accuracy / confusion: 44.04% / [[101, 127, 2], [57, 111, 7], [11, 87, 17]] ------------------------------ Epoch 117 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.924519 - Iter 024 / 025, Loss: 0.708015 * Train accuracy / confusion: 66.25% / [[282, 63, 15], [80, 137, 48], [21, 43, 111]], * Val accuracy / confusion: 50.19% / [[148, 73, 9], [80, 68, 27], [28, 42, 45]] ------------------------------ Epoch 118 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.914574 - Iter 024 / 025, Loss: 0.653330 * Train accuracy / confusion: 64.75% / [[277, 56, 21], [85, 141, 45], [26, 49, 100]], * Val accuracy / confusion: 46.92% / [[116, 113, 1], [66, 88, 21], [17, 58, 40]] ------------------------------ Epoch 119 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.706373 - Iter 024 / 025, Loss: 0.808117 * Train accuracy / confusion: 63.88% / [[278, 66, 13], [88, 144, 38], [23, 61, 89]], * Val accuracy / confusion: 51.35% / [[144, 72, 14], [71, 79, 25], [21, 50, 44]] ------------------------------ Epoch 120 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.778327 - Iter 024 / 025, Loss: 0.707460 * Train accuracy / confusion: 65.75% / [[283, 60, 16], [90, 137, 41], [23, 44, 106]], * Val accuracy / confusion: 50.58% / [[134, 60, 36], [63, 58, 54], [11, 33, 71]] ------------------------------ Epoch 121 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.685960 - Iter 024 / 025, Loss: 1.078067 * Train accuracy / confusion: 62.00% / [[268, 72, 12], [85, 129, 57], [28, 50, 99]], * Val accuracy / confusion: 52.31% / [[179, 49, 2], [98, 66, 11], [32, 56, 27]] ------------------------------ Epoch 122 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.963645 - Iter 024 / 025, Loss: 1.030442 * Train accuracy / confusion: 63.88% / [[266, 63, 21], [77, 141, 54], [26, 48, 104]], * Val accuracy / confusion: 45.38% / [[106, 59, 65], [44, 36, 95], [12, 9, 94]] ------------------------------ Epoch 123 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.740946 - Iter 024 / 025, Loss: 0.720206 * Train accuracy / confusion: 64.38% / [[280, 66, 12], [85, 143, 40], [26, 56, 92]], * Val accuracy / confusion: 53.08% / [[168, 50, 12], [83, 58, 34], [29, 36, 50]] ------------------------------ Epoch 124 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.970448 - Iter 024 / 025, Loss: 0.732557 * Train accuracy / confusion: 62.12% / [[274, 65, 16], [88, 133, 45], [31, 58, 90]], * Val accuracy / confusion: 49.04% / [[137, 91, 2], [77, 82, 16], [15, 64, 36]] ------------------------------ Epoch 125 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.812476 - Iter 024 / 025, Loss: 0.766324 * Train accuracy / confusion: 66.62% / [[282, 65, 12], [80, 153, 36], [23, 51, 98]], * Val accuracy / confusion: 48.27% / [[96, 109, 25], [45, 86, 44], [5, 41, 69]] ------------------------------ Epoch 126 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.652130 - Iter 024 / 025, Loss: 0.941788 * Train accuracy / confusion: 64.88% / [[293, 49, 17], [91, 135, 42], [22, 60, 91]], * Val accuracy / confusion: 45.38% / [[102, 72, 56], [52, 71, 52], [7, 45, 63]] ------------------------------ Epoch 127 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.635694 - Iter 024 / 025, Loss: 0.601911 * Train accuracy / confusion: 69.00% / [[299, 49, 11], [79, 156, 33], [24, 52, 97]], * Val accuracy / confusion: 53.46% / [[161, 67, 2], [79, 83, 13], [25, 56, 34]] ------------------------------ Epoch 128 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.829413 - Iter 024 / 025, Loss: 0.872731 * Train accuracy / confusion: 66.25% / [[279, 63, 17], [85, 146, 35], [20, 50, 105]], * Val accuracy / confusion: 50.77% / [[182, 29, 19], [117, 23, 35], [38, 18, 59]] ------------------------------ Epoch 129 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.776910 - Iter 024 / 025, Loss: 0.663863 * Train accuracy / confusion: 65.62% / [[303, 42, 15], [93, 120, 51], [22, 52, 102]], * Val accuracy / confusion: 51.73% / [[154, 41, 35], [90, 44, 41], [27, 17, 71]] ------------------------------ Epoch 130 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.741905 - Iter 024 / 025, Loss: 0.780120 * Train accuracy / confusion: 66.12% / [[293, 49, 15], [93, 134, 40], [31, 43, 102]], * Val accuracy / confusion: 50.00% / [[133, 56, 41], [60, 46, 69], [11, 23, 81]] ------------------------------ Epoch 131 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.814206 - Iter 024 / 025, Loss: 0.819613 * Train accuracy / confusion: 65.75% / [[277, 67, 14], [86, 138, 43], [26, 38, 111]], * Val accuracy / confusion: 53.65% / [[148, 61, 21], [70, 62, 43], [16, 30, 69]] ------------------------------ Epoch 132 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.536193 - Iter 024 / 025, Loss: 0.716078 * Train accuracy / confusion: 68.75% / [[296, 51, 15], [72, 147, 45], [22, 45, 107]], * Val accuracy / confusion: 53.08% / [[149, 76, 5], [75, 84, 16], [23, 49, 43]] ------------------------------ Epoch 133 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.973261 - Iter 024 / 025, Loss: 0.839676 * Train accuracy / confusion: 66.62% / [[275, 64, 16], [74, 159, 39], [26, 48, 99]], * Val accuracy / confusion: 51.35% / [[160, 54, 16], [88, 52, 35], [26, 34, 55]] ------------------------------ Epoch 134 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.738900 - Iter 024 / 025, Loss: 0.749756 * Train accuracy / confusion: 65.50% / [[266, 71, 16], [68, 160, 41], [22, 58, 98]], * Val accuracy / confusion: 47.88% / [[138, 57, 35], [72, 45, 58], [27, 22, 66]] ------------------------------ Epoch 135 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.621392 - Iter 024 / 025, Loss: 0.722800 * Train accuracy / confusion: 64.38% / [[275, 58, 21], [87, 142, 41], [25, 53, 98]], * Val accuracy / confusion: 45.38% / [[124, 79, 27], [68, 43, 64], [21, 25, 69]] ------------------------------ Epoch 136 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.712657 - Iter 024 / 025, Loss: 0.783228 * Train accuracy / confusion: 67.25% / [[287, 52, 20], [75, 151, 43], [22, 50, 100]], * Val accuracy / confusion: 53.08% / [[177, 49, 4], [93, 77, 5], [32, 61, 22]] ------------------------------ Epoch 137 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.779616 - Iter 024 / 025, Loss: 0.652179 * Train accuracy / confusion: 68.00% / [[289, 49, 18], [75, 158, 34], [26, 54, 97]], * Val accuracy / confusion: 50.96% / [[142, 66, 22], [74, 58, 43], [20, 30, 65]] ------------------------------ Epoch 138 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.832165 - Iter 024 / 025, Loss: 0.680949 * Train accuracy / confusion: 65.88% / [[274, 67, 18], [74, 147, 43], [27, 44, 106]], * Val accuracy / confusion: 50.19% / [[139, 75, 16], [65, 75, 35], [16, 52, 47]] ------------------------------ Epoch 139 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.896948 - Iter 024 / 025, Loss: 0.641408 * Train accuracy / confusion: 69.88% / [[285, 55, 17], [70, 166, 33], [18, 48, 108]], * Val accuracy / confusion: 52.31% / [[151, 79, 0], [70, 98, 7], [21, 71, 23]] ------------------------------ Epoch 140 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.760692 - Iter 024 / 025, Loss: 0.755194 * Train accuracy / confusion: 65.50% / [[276, 62, 20], [70, 156, 41], [28, 55, 92]], * Val accuracy / confusion: 54.62% / [[152, 63, 15], [62, 74, 39], [17, 40, 58]] ------------------------------ Epoch 141 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.712419 - Iter 024 / 025, Loss: 0.771653 * Train accuracy / confusion: 65.50% / [[291, 53, 11], [94, 143, 32], [24, 62, 90]], * Val accuracy / confusion: 49.62% / [[143, 83, 4], [67, 103, 5], [21, 82, 12]] ------------------------------ Epoch 142 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.720064 - Iter 024 / 025, Loss: 0.808334 * Train accuracy / confusion: 64.38% / [[272, 64, 20], [71, 146, 49], [18, 63, 97]], * Val accuracy / confusion: 43.08% / [[77, 144, 9], [42, 104, 29], [5, 67, 43]] ------------------------------ Epoch 143 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.923817 - Iter 024 / 025, Loss: 0.628511 * Train accuracy / confusion: 64.75% / [[274, 75, 14], [78, 148, 40], [26, 49, 96]], * Val accuracy / confusion: 47.50% / [[125, 45, 60], [63, 33, 79], [12, 14, 89]] ------------------------------ Epoch 144 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.604240 - Iter 024 / 025, Loss: 0.753146 * Train accuracy / confusion: 65.88% / [[286, 58, 14], [88, 136, 41], [27, 45, 105]], * Val accuracy / confusion: 50.00% / [[156, 52, 22], [81, 45, 49], [21, 35, 59]] ------------------------------ Epoch 145 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.842145 - Iter 024 / 025, Loss: 0.778483 * Train accuracy / confusion: 66.38% / [[283, 55, 19], [81, 144, 44], [25, 45, 104]], * Val accuracy / confusion: 51.73% / [[149, 77, 4], [83, 80, 12], [18, 57, 40]] ------------------------------ Epoch 146 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.917755 - Iter 024 / 025, Loss: 0.623740 * Train accuracy / confusion: 67.25% / [[285, 56, 17], [75, 150, 41], [24, 49, 103]], * Val accuracy / confusion: 50.77% / [[145, 83, 2], [71, 90, 14], [18, 68, 29]] ------------------------------ Epoch 147 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.612377 - Iter 024 / 025, Loss: 0.840948 * Train accuracy / confusion: 67.88% / [[288, 52, 17], [83, 150, 35], [25, 45, 105]], * Val accuracy / confusion: 52.31% / [[172, 37, 21], [91, 36, 48], [32, 19, 64]] ------------------------------ Epoch 148 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.735046 - Iter 024 / 025, Loss: 0.857029 * Train accuracy / confusion: 66.25% / [[283, 66, 12], [68, 152, 44], [26, 54, 95]], * Val accuracy / confusion: 51.92% / [[179, 47, 4], [106, 58, 11], [36, 46, 33]] ------------------------------ Epoch 149 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.659669 - Iter 024 / 025, Loss: 0.567184 * Train accuracy / confusion: 64.00% / [[270, 67, 21], [78, 152, 40], [26, 56, 90]], * Val accuracy / confusion: 52.31% / [[169, 35, 26], [93, 44, 38], [27, 29, 59]] ------------------------------ Epoch 150 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.644634 - Iter 024 / 025, Loss: 0.709239 * Train accuracy / confusion: 65.75% / [[281, 58, 18], [84, 155, 29], [26, 59, 90]], * Val accuracy / confusion: 47.69% / [[92, 132, 6], [40, 106, 29], [7, 58, 50]] ------------------------------ Epoch 151 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.628426 - Iter 024 / 025, Loss: 0.809132 * Train accuracy / confusion: 65.50% / [[282, 66, 12], [82, 137, 46], [24, 46, 105]], * Val accuracy / confusion: 54.23% / [[173, 36, 21], [95, 43, 37], [30, 19, 66]] ------------------------------ Epoch 152 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.570742 - Iter 024 / 025, Loss: 0.783327 * Train accuracy / confusion: 65.88% / [[282, 55, 16], [85, 147, 42], [25, 50, 98]], * Val accuracy / confusion: 52.50% / [[201, 12, 17], [121, 9, 45], [46, 6, 63]] ------------------------------ Epoch 153 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.869784 - Iter 024 / 025, Loss: 0.702113 * Train accuracy / confusion: 67.62% / [[301, 38, 15], [93, 134, 42], [21, 50, 106]], * Val accuracy / confusion: 48.65% / [[113, 114, 3], [56, 111, 8], [11, 75, 29]] ------------------------------ Epoch 154 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.799790 - Iter 024 / 025, Loss: 0.670913 * Train accuracy / confusion: 69.12% / [[294, 44, 19], [80, 157, 35], [23, 46, 102]], * Val accuracy / confusion: 45.58% / [[110, 45, 75], [51, 29, 95], [8, 9, 98]] ------------------------------ Epoch 155 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.809877 - Iter 024 / 025, Loss: 0.533347 * Train accuracy / confusion: 66.00% / [[290, 50, 17], [92, 139, 38], [27, 48, 99]], * Val accuracy / confusion: 51.73% / [[159, 38, 33], [88, 36, 51], [26, 15, 74]] ------------------------------ Epoch 156 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.666966 - Iter 024 / 025, Loss: 0.791982 * Train accuracy / confusion: 69.25% / [[287, 52, 17], [76, 148, 46], [21, 34, 119]], * Val accuracy / confusion: 51.92% / [[146, 56, 28], [69, 50, 56], [19, 22, 74]] ------------------------------ Epoch 157 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.587480 - Iter 024 / 025, Loss: 0.682013 * Train accuracy / confusion: 69.25% / [[294, 48, 16], [74, 155, 37], [23, 48, 105]], * Val accuracy / confusion: 53.85% / [[163, 38, 29], [75, 59, 41], [21, 36, 58]] ------------------------------ Epoch 158 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.603898 - Iter 024 / 025, Loss: 0.958875 * Train accuracy / confusion: 66.25% / [[285, 54, 16], [81, 147, 41], [26, 52, 98]], * Val accuracy / confusion: 45.96% / [[80, 145, 5], [37, 109, 29], [3, 62, 50]] ------------------------------ Epoch 159 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.870271 - Iter 024 / 025, Loss: 0.969853 * Train accuracy / confusion: 67.25% / [[274, 55, 24], [92, 152, 25], [30, 36, 112]], * Val accuracy / confusion: 53.65% / [[210, 16, 4], [131, 29, 15], [54, 21, 40]] ------------------------------ Epoch 160 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.572966 - Iter 024 / 025, Loss: 0.713659 * Train accuracy / confusion: 65.88% / [[281, 57, 16], [80, 139, 49], [25, 46, 107]], * Val accuracy / confusion: 51.73% / [[142, 75, 13], [68, 70, 37], [16, 42, 57]] ------------------------------ Epoch 161 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.667907 - Iter 024 / 025, Loss: 0.797050 * Train accuracy / confusion: 67.00% / [[291, 45, 16], [79, 128, 61], [22, 41, 117]], * Val accuracy / confusion: 47.12% / [[131, 45, 54], [68, 42, 65], [17, 26, 72]] ------------------------------ Epoch 162 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.732759 - Iter 024 / 025, Loss: 0.707660 * Train accuracy / confusion: 70.12% / [[293, 46, 16], [81, 150, 37], [27, 32, 118]], * Val accuracy / confusion: 54.62% / [[187, 39, 4], [107, 55, 13], [31, 42, 42]] ------------------------------ Epoch 163 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.813331 - Iter 024 / 025, Loss: 0.779459 * Train accuracy / confusion: 65.50% / [[280, 50, 24], [94, 140, 36], [26, 46, 104]], * Val accuracy / confusion: 52.31% / [[140, 61, 29], [73, 57, 45], [16, 24, 75]] ------------------------------ Epoch 164 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.623750 - Iter 024 / 025, Loss: 0.686786 * Train accuracy / confusion: 67.50% / [[285, 49, 23], [71, 147, 46], [29, 42, 108]], * Val accuracy / confusion: 50.00% / [[123, 97, 10], [67, 88, 20], [23, 43, 49]] ------------------------------ Epoch 165 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.659935 - Iter 024 / 025, Loss: 0.914128 * Train accuracy / confusion: 67.75% / [[285, 52, 21], [85, 147, 34], [19, 47, 110]], * Val accuracy / confusion: 53.65% / [[203, 21, 6], [117, 20, 38], [45, 14, 56]] ------------------------------ Epoch 166 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.828035 - Iter 024 / 025, Loss: 0.684695 * Train accuracy / confusion: 67.50% / [[280, 57, 19], [85, 144, 43], [18, 38, 116]], * Val accuracy / confusion: 47.88% / [[138, 50, 42], [75, 47, 53], [16, 35, 64]] ------------------------------ Epoch 167 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.825925 - Iter 024 / 025, Loss: 0.847824 * Train accuracy / confusion: 65.88% / [[289, 51, 15], [88, 141, 40], [31, 48, 97]], * Val accuracy / confusion: 52.69% / [[180, 34, 16], [108, 39, 28], [25, 35, 55]] ------------------------------ Epoch 168 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.625237 - Iter 024 / 025, Loss: 0.582420 * Train accuracy / confusion: 67.38% / [[279, 60, 16], [80, 156, 33], [22, 50, 104]], * Val accuracy / confusion: 50.00% / [[154, 38, 38], [83, 28, 64], [21, 16, 78]] ------------------------------ Epoch 169 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.818588 - Iter 024 / 025, Loss: 0.878731 * Train accuracy / confusion: 66.75% / [[282, 55, 19], [78, 155, 38], [19, 57, 97]], * Val accuracy / confusion: 51.35% / [[119, 110, 1], [50, 116, 9], [12, 71, 32]] ------------------------------ Epoch 170 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.882006 - Iter 024 / 025, Loss: 0.898378 * Train accuracy / confusion: 67.62% / [[299, 46, 14], [96, 129, 37], [30, 36, 113]], * Val accuracy / confusion: 49.04% / [[146, 33, 51], [73, 29, 73], [20, 15, 80]] ------------------------------ Epoch 171 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.897877 - Iter 024 / 025, Loss: 0.892108 * Train accuracy / confusion: 68.12% / [[283, 51, 19], [77, 156, 39], [24, 45, 106]], * Val accuracy / confusion: 47.12% / [[98, 104, 28], [49, 70, 56], [7, 31, 77]] ------------------------------ Epoch 172 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.868046 - Iter 024 / 025, Loss: 0.613624 * Train accuracy / confusion: 68.00% / [[290, 47, 16], [80, 133, 55], [22, 36, 121]], * Val accuracy / confusion: 52.88% / [[189, 33, 8], [109, 40, 26], [31, 38, 46]] ------------------------------ Epoch 173 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.602227 - Iter 024 / 025, Loss: 0.705707 * Train accuracy / confusion: 68.12% / [[290, 47, 17], [86, 137, 44], [14, 47, 118]], * Val accuracy / confusion: 44.23% / [[97, 84, 49], [53, 73, 49], [10, 45, 60]] ------------------------------ Epoch 174 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.829842 - Iter 024 / 025, Loss: 0.705116 * Train accuracy / confusion: 68.25% / [[269, 63, 18], [65, 163, 41], [19, 48, 114]], * Val accuracy / confusion: 51.54% / [[189, 25, 16], [117, 16, 42], [36, 16, 63]] ------------------------------ Epoch 175 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.752525 - Iter 024 / 025, Loss: 0.456847 * Train accuracy / confusion: 66.75% / [[286, 53, 18], [83, 134, 48], [25, 39, 114]], * Val accuracy / confusion: 47.50% / [[126, 56, 48], [67, 58, 50], [16, 36, 63]] ------------------------------ Epoch 176 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.750232 - Iter 024 / 025, Loss: 0.711752 * Train accuracy / confusion: 68.62% / [[276, 54, 24], [61, 164, 44], [22, 46, 109]], * Val accuracy / confusion: 50.77% / [[137, 89, 4], [73, 85, 17], [17, 56, 42]] ------------------------------ Epoch 177 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.743545 - Iter 024 / 025, Loss: 0.771993 * Train accuracy / confusion: 67.25% / [[286, 52, 20], [75, 152, 39], [26, 50, 100]], * Val accuracy / confusion: 42.31% / [[94, 129, 7], [58, 112, 5], [5, 96, 14]] ------------------------------ Epoch 178 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.788577 - Iter 024 / 025, Loss: 0.576101 * Train accuracy / confusion: 69.00% / [[293, 44, 15], [90, 143, 36], [20, 43, 116]], * Val accuracy / confusion: 52.69% / [[156, 64, 10], [85, 67, 23], [20, 44, 51]] ------------------------------ Epoch 179 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.649683 - Iter 024 / 025, Loss: 0.859967 * Train accuracy / confusion: 67.12% / [[291, 44, 21], [86, 142, 39], [20, 53, 104]], * Val accuracy / confusion: 54.04% / [[175, 52, 3], [88, 80, 7], [26, 63, 26]] ------------------------------ Epoch 180 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.598118 - Iter 024 / 025, Loss: 0.586404 * Train accuracy / confusion: 68.88% / [[283, 58, 15], [78, 157, 32], [18, 48, 111]], * Val accuracy / confusion: 48.65% / [[183, 34, 13], [117, 16, 42], [48, 13, 54]] ------------------------------ Epoch 181 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.662905 - Iter 024 / 025, Loss: 0.887465 * Train accuracy / confusion: 68.12% / [[300, 42, 14], [83, 144, 41], [28, 47, 101]], * Val accuracy / confusion: 51.15% / [[141, 78, 11], [71, 73, 31], [20, 43, 52]] ------------------------------ Epoch 182 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.570314 - Iter 024 / 025, Loss: 0.669036 * Train accuracy / confusion: 69.75% / [[298, 38, 18], [82, 154, 32], [26, 46, 106]], * Val accuracy / confusion: 53.27% / [[165, 43, 22], [83, 44, 48], [25, 22, 68]] ------------------------------ Epoch 183 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.690446 - Iter 024 / 025, Loss: 0.649594 * Train accuracy / confusion: 69.88% / [[294, 43, 16], [78, 146, 44], [26, 34, 119]], * Val accuracy / confusion: 55.38% / [[191, 30, 9], [110, 38, 27], [35, 21, 59]] ------------------------------ Epoch 184 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.642641 - Iter 024 / 025, Loss: 0.708716 * Train accuracy / confusion: 68.75% / [[284, 56, 14], [76, 162, 32], [26, 46, 104]], * Val accuracy / confusion: 53.27% / [[154, 73, 3], [83, 78, 14], [23, 47, 45]] ------------------------------ Epoch 185 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.779080 - Iter 024 / 025, Loss: 0.599472 * Train accuracy / confusion: 69.62% / [[293, 55, 12], [80, 156, 26], [27, 43, 108]], * Val accuracy / confusion: 50.77% / [[161, 39, 30], [88, 32, 55], [20, 24, 71]] ------------------------------ Epoch 186 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.747990 - Iter 024 / 025, Loss: 0.550023 * Train accuracy / confusion: 68.38% / [[290, 48, 15], [85, 151, 34], [23, 48, 106]], * Val accuracy / confusion: 48.08% / [[122, 100, 8], [63, 99, 13], [8, 78, 29]] ------------------------------ Epoch 187 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.702478 - Iter 024 / 025, Loss: 0.674462 * Train accuracy / confusion: 70.75% / [[304, 36, 14], [83, 152, 34], [26, 41, 110]], * Val accuracy / confusion: 52.31% / [[186, 14, 30], [106, 32, 37], [33, 28, 54]] ------------------------------ Epoch 188 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 1.088861 - Iter 024 / 025, Loss: 0.671204 * Train accuracy / confusion: 69.50% / [[293, 44, 16], [87, 155, 28], [25, 44, 108]], * Val accuracy / confusion: 53.27% / [[212, 15, 3], [133, 24, 18], [55, 19, 41]] ------------------------------ Epoch 189 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.694834 - Iter 024 / 025, Loss: 0.902374 * Train accuracy / confusion: 68.38% / [[295, 51, 11], [85, 148, 31], [22, 53, 104]], * Val accuracy / confusion: 48.27% / [[122, 102, 6], [61, 108, 6], [8, 86, 21]] ------------------------------ Epoch 190 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.606558 - Iter 024 / 025, Loss: 0.588796 * Train accuracy / confusion: 70.50% / [[291, 44, 19], [82, 161, 28], [22, 41, 112]], * Val accuracy / confusion: 52.69% / [[191, 20, 19], [111, 23, 41], [39, 16, 60]] ------------------------------ Epoch 191 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.940632 - Iter 024 / 025, Loss: 0.790669 * Train accuracy / confusion: 69.62% / [[298, 41, 21], [87, 156, 24], [32, 38, 103]], * Val accuracy / confusion: 49.81% / [[170, 42, 18], [104, 32, 39], [32, 26, 57]] ------------------------------ Epoch 192 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.575947 - Iter 024 / 025, Loss: 0.596179 * Train accuracy / confusion: 70.12% / [[293, 47, 20], [79, 161, 26], [22, 45, 107]], * Val accuracy / confusion: 46.15% / [[108, 84, 38], [56, 72, 47], [12, 43, 60]] ------------------------------ Epoch 193 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.755141 - Iter 024 / 025, Loss: 0.692422 * Train accuracy / confusion: 68.12% / [[290, 46, 19], [85, 155, 30], [32, 43, 100]], * Val accuracy / confusion: 52.69% / [[186, 40, 4], [112, 43, 20], [46, 24, 45]] ------------------------------ Epoch 194 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.546169 - Iter 024 / 025, Loss: 0.463690 * Train accuracy / confusion: 72.75% / [[302, 37, 14], [74, 165, 31], [21, 41, 115]], * Val accuracy / confusion: 48.65% / [[124, 91, 15], [68, 82, 25], [18, 50, 47]] ------------------------------ Epoch 195 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.533834 - Iter 024 / 025, Loss: 0.877312 * Train accuracy / confusion: 70.00% / [[299, 41, 15], [83, 150, 36], [27, 38, 111]], * Val accuracy / confusion: 52.12% / [[147, 78, 5], [70, 99, 6], [19, 71, 25]] ------------------------------ Epoch 196 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.764213 - Iter 024 / 025, Loss: 0.532388 * Train accuracy / confusion: 71.88% / [[295, 49, 14], [74, 168, 25], [19, 44, 112]], * Val accuracy / confusion: 55.00% / [[192, 35, 3], [105, 53, 17], [45, 29, 41]] ------------------------------ Epoch 197 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.646031 - Iter 024 / 025, Loss: 0.524213 * Train accuracy / confusion: 71.12% / [[289, 53, 13], [73, 164, 35], [12, 45, 116]], * Val accuracy / confusion: 52.88% / [[145, 75, 10], [77, 80, 18], [27, 38, 50]] ------------------------------ Epoch 198 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.743041 - Iter 024 / 025, Loss: 0.671525 * Train accuracy / confusion: 70.38% / [[293, 47, 16], [69, 162, 35], [25, 45, 108]], * Val accuracy / confusion: 50.96% / [[151, 54, 25], [93, 54, 28], [19, 36, 60]] ------------------------------ Epoch 199 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.785852 - Iter 024 / 025, Loss: 0.804276 * Train accuracy / confusion: 67.12% / [[279, 58, 18], [76, 162, 33], [22, 56, 96]], * Val accuracy / confusion: 53.08% / [[152, 76, 2], [76, 87, 12], [21, 57, 37]] ------------------------------ Epoch 200 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.545865 - Iter 024 / 025, Loss: 0.627454 * Train accuracy / confusion: 70.25% / [[300, 46, 12], [77, 161, 29], [29, 45, 101]], * Val accuracy / confusion: 53.46% / [[181, 40, 9], [108, 41, 26], [34, 25, 56]] ------------------------------ Epoch 201 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.607584 - Iter 024 / 025, Loss: 0.901202 * Train accuracy / confusion: 72.12% / [[301, 40, 17], [81, 156, 31], [15, 39, 120]], * Val accuracy / confusion: 49.62% / [[153, 60, 17], [92, 62, 21], [23, 49, 43]] ------------------------------ Epoch 202 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.697056 - Iter 024 / 025, Loss: 0.557292 * Train accuracy / confusion: 71.38% / [[291, 46, 17], [75, 168, 25], [21, 45, 112]], * Val accuracy / confusion: 53.46% / [[124, 90, 16], [51, 87, 37], [13, 35, 67]] ------------------------------ Epoch 203 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.603200 - Iter 024 / 025, Loss: 0.602980 * Train accuracy / confusion: 67.75% / [[277, 65, 18], [67, 162, 36], [24, 48, 103]], * Val accuracy / confusion: 54.04% / [[166, 51, 13], [94, 70, 11], [26, 44, 45]] ------------------------------ Epoch 204 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.691006 - Iter 024 / 025, Loss: 0.454054 * Train accuracy / confusion: 68.50% / [[284, 60, 14], [89, 148, 28], [21, 40, 116]], * Val accuracy / confusion: 53.46% / [[190, 26, 14], [115, 26, 34], [34, 19, 62]] ------------------------------ Epoch 205 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.527538 - Iter 024 / 025, Loss: 0.608107 * Train accuracy / confusion: 69.62% / [[299, 39, 16], [79, 146, 42], [20, 47, 112]], * Val accuracy / confusion: 50.96% / [[147, 79, 4], [78, 89, 8], [19, 67, 29]] ------------------------------ Epoch 206 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.664695 - Iter 024 / 025, Loss: 0.673698 * Train accuracy / confusion: 72.62% / [[300, 39, 15], [75, 166, 27], [23, 40, 115]], * Val accuracy / confusion: 55.19% / [[128, 94, 8], [56, 112, 7], [14, 54, 47]] ------------------------------ Epoch 207 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.630357 - Iter 024 / 025, Loss: 0.739745 * Train accuracy / confusion: 70.00% / [[275, 58, 19], [72, 158, 38], [19, 34, 127]], * Val accuracy / confusion: 55.19% / [[162, 64, 4], [82, 76, 17], [22, 44, 49]] ------------------------------ Epoch 208 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.685223 - Iter 024 / 025, Loss: 0.682231 * Train accuracy / confusion: 69.25% / [[283, 50, 22], [81, 160, 26], [28, 39, 111]], * Val accuracy / confusion: 54.23% / [[191, 31, 8], [113, 40, 22], [39, 25, 51]] ------------------------------ Epoch 209 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.861908 - Iter 024 / 025, Loss: 0.784773 * Train accuracy / confusion: 69.38% / [[281, 58, 18], [75, 155, 35], [22, 37, 119]], * Val accuracy / confusion: 50.38% / [[154, 46, 30], [88, 42, 45], [18, 31, 66]] ------------------------------ Epoch 210 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.658410 - Iter 024 / 025, Loss: 0.569326 * Train accuracy / confusion: 71.00% / [[280, 53, 24], [70, 171, 28], [21, 36, 117]], * Val accuracy / confusion: 51.73% / [[142, 55, 33], [62, 55, 58], [14, 29, 72]] ------------------------------ Epoch 211 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.634601 - Iter 024 / 025, Loss: 0.695007 * Train accuracy / confusion: 70.75% / [[303, 50, 10], [77, 159, 28], [23, 46, 104]], * Val accuracy / confusion: 56.54% / [[187, 38, 5], [99, 57, 19], [37, 28, 50]] ------------------------------ Epoch 212 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.633111 - Iter 024 / 025, Loss: 0.566688 * Train accuracy / confusion: 73.50% / [[300, 38, 17], [79, 166, 23], [22, 33, 122]], * Val accuracy / confusion: 49.81% / [[122, 97, 11], [58, 99, 18], [15, 62, 38]] ------------------------------ Epoch 213 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.563707 - Iter 024 / 025, Loss: 0.808532 * Train accuracy / confusion: 68.75% / [[297, 43, 17], [82, 157, 30], [30, 48, 96]], * Val accuracy / confusion: 52.50% / [[211, 18, 1], [142, 22, 11], [56, 19, 40]] ------------------------------ Epoch 214 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.626891 - Iter 024 / 025, Loss: 0.686507 * Train accuracy / confusion: 73.12% / [[305, 38, 10], [77, 164, 27], [23, 40, 116]], * Val accuracy / confusion: 52.12% / [[151, 63, 16], [81, 60, 34], [19, 36, 60]] ------------------------------ Epoch 215 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.567987 - Iter 024 / 025, Loss: 0.486773 * Train accuracy / confusion: 72.00% / [[307, 33, 16], [75, 165, 31], [28, 41, 104]], * Val accuracy / confusion: 54.81% / [[187, 25, 18], [104, 36, 35], [33, 20, 62]] ------------------------------ Epoch 216 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.604980 - Iter 024 / 025, Loss: 0.691449 * Train accuracy / confusion: 71.12% / [[290, 54, 14], [63, 172, 30], [24, 46, 107]], * Val accuracy / confusion: 48.46% / [[95, 101, 34], [32, 100, 43], [13, 45, 57]] ------------------------------ Epoch 217 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.530182 - Iter 024 / 025, Loss: 0.610949 * Train accuracy / confusion: 69.75% / [[300, 44, 14], [77, 146, 43], [26, 38, 112]], * Val accuracy / confusion: 48.08% / [[94, 87, 49], [37, 86, 52], [8, 37, 70]] ------------------------------ Epoch 218 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.630457 - Iter 024 / 025, Loss: 0.583987 * Train accuracy / confusion: 73.50% / [[301, 42, 13], [80, 164, 28], [21, 28, 123]], * Val accuracy / confusion: 54.62% / [[200, 18, 12], [117, 43, 15], [37, 37, 41]] ------------------------------ Epoch 219 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.624834 - Iter 024 / 025, Loss: 0.621294 * Train accuracy / confusion: 73.75% / [[300, 40, 15], [74, 159, 33], [14, 34, 131]], * Val accuracy / confusion: 48.27% / [[119, 108, 3], [59, 110, 6], [12, 81, 22]] ------------------------------ Epoch 220 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.624193 - Iter 024 / 025, Loss: 0.710506 * Train accuracy / confusion: 73.38% / [[309, 33, 17], [71, 163, 34], [18, 40, 115]], * Val accuracy / confusion: 52.88% / [[186, 20, 24], [113, 18, 44], [35, 9, 71]] ------------------------------ Epoch 221 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.785242 - Iter 024 / 025, Loss: 0.786124 * Train accuracy / confusion: 73.12% / [[292, 45, 17], [63, 176, 28], [26, 36, 117]], * Val accuracy / confusion: 52.31% / [[174, 45, 11], [108, 48, 19], [36, 29, 50]] ------------------------------ Epoch 222 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.545271 - Iter 024 / 025, Loss: 0.483494 * Train accuracy / confusion: 72.38% / [[298, 44, 13], [83, 160, 27], [17, 37, 121]], * Val accuracy / confusion: 52.88% / [[124, 91, 15], [48, 104, 23], [10, 58, 47]] ------------------------------ Epoch 223 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.415777 - Iter 024 / 025, Loss: 0.546306 * Train accuracy / confusion: 72.62% / [[296, 44, 15], [72, 171, 25], [29, 34, 114]], * Val accuracy / confusion: 53.27% / [[161, 57, 12], [81, 65, 29], [28, 36, 51]] ------------------------------ Epoch 224 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.587734 - Iter 024 / 025, Loss: 0.480464 * Train accuracy / confusion: 73.25% / [[290, 57, 12], [68, 179, 20], [16, 41, 117]], * Val accuracy / confusion: 51.35% / [[193, 28, 9], [119, 26, 30], [49, 18, 48]] ------------------------------ Epoch 225 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.771858 - Iter 024 / 025, Loss: 0.786911 * Train accuracy / confusion: 74.00% / [[304, 39, 16], [73, 163, 30], [17, 33, 125]], * Val accuracy / confusion: 51.15% / [[164, 60, 6], [102, 56, 17], [32, 37, 46]] ------------------------------ Epoch 226 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.672097 - Iter 024 / 025, Loss: 0.779314 * Train accuracy / confusion: 74.75% / [[309, 36, 11], [80, 158, 32], [12, 31, 131]], * Val accuracy / confusion: 55.77% / [[182, 38, 10], [102, 38, 35], [20, 25, 70]] ------------------------------ Epoch 227 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.536698 - Iter 024 / 025, Loss: 0.410208 * Train accuracy / confusion: 75.38% / [[308, 37, 12], [64, 178, 24], [22, 38, 117]], * Val accuracy / confusion: 38.27% / [[93, 4, 133], [53, 0, 122], [9, 0, 106]] ------------------------------ Epoch 228 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.835589 - Iter 024 / 025, Loss: 0.479178 * Train accuracy / confusion: 73.50% / [[294, 43, 16], [63, 176, 29], [22, 39, 118]], * Val accuracy / confusion: 49.23% / [[98, 107, 25], [42, 116, 17], [12, 61, 42]] ------------------------------ Epoch 229 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.521237 - Iter 024 / 025, Loss: 0.591126 * Train accuracy / confusion: 71.38% / [[288, 54, 15], [57, 170, 39], [22, 42, 113]], * Val accuracy / confusion: 49.81% / [[157, 70, 3], [94, 63, 18], [31, 45, 39]] ------------------------------ Epoch 230 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.780786 - Iter 024 / 025, Loss: 0.550506 * Train accuracy / confusion: 76.38% / [[305, 34, 14], [74, 176, 19], [13, 35, 130]], * Val accuracy / confusion: 50.77% / [[106, 99, 25], [54, 88, 33], [13, 32, 70]] ------------------------------ Epoch 231 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.866932 - Iter 024 / 025, Loss: 0.647018 * Train accuracy / confusion: 74.50% / [[303, 46, 10], [63, 179, 26], [21, 38, 114]], * Val accuracy / confusion: 55.77% / [[152, 66, 12], [80, 75, 20], [13, 39, 63]] ------------------------------ Epoch 232 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.658707 - Iter 024 / 025, Loss: 0.626498 * Train accuracy / confusion: 73.88% / [[303, 43, 12], [66, 167, 33], [16, 39, 121]], * Val accuracy / confusion: 53.46% / [[151, 73, 6], [72, 80, 23], [20, 48, 47]] ------------------------------ Epoch 233 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.527330 - Iter 024 / 025, Loss: 0.597212 * Train accuracy / confusion: 70.12% / [[291, 49, 14], [77, 161, 29], [27, 43, 109]], * Val accuracy / confusion: 53.85% / [[157, 56, 17], [82, 71, 22], [22, 41, 52]] ------------------------------ Epoch 234 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.496641 - Iter 024 / 025, Loss: 0.583143 * Train accuracy / confusion: 73.50% / [[293, 48, 15], [58, 175, 33], [15, 43, 120]], * Val accuracy / confusion: 54.81% / [[190, 36, 4], [112, 50, 13], [33, 37, 45]] ------------------------------ Epoch 235 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.734914 - Iter 024 / 025, Loss: 0.652641 * Train accuracy / confusion: 73.88% / [[295, 49, 14], [67, 176, 22], [20, 37, 120]], * Val accuracy / confusion: 54.23% / [[158, 66, 6], [77, 87, 11], [17, 61, 37]] ------------------------------ Epoch 236 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.488872 - Iter 024 / 025, Loss: 0.688547 * Train accuracy / confusion: 74.25% / [[307, 40, 12], [69, 166, 31], [18, 36, 121]], * Val accuracy / confusion: 55.00% / [[179, 38, 13], [97, 53, 25], [29, 32, 54]] ------------------------------ Epoch 237 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.364706 - Iter 024 / 025, Loss: 0.837130 * Train accuracy / confusion: 76.00% / [[291, 44, 14], [66, 181, 22], [17, 29, 136]], * Val accuracy / confusion: 53.85% / [[171, 34, 25], [98, 40, 37], [21, 25, 69]] ------------------------------ Epoch 238 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.534744 - Iter 024 / 025, Loss: 0.796624 * Train accuracy / confusion: 76.75% / [[308, 35, 11], [60, 177, 32], [13, 35, 129]], * Val accuracy / confusion: 51.92% / [[120, 88, 22], [56, 99, 20], [13, 51, 51]] ------------------------------ Epoch 239 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.592544 - Iter 024 / 025, Loss: 0.726678 * Train accuracy / confusion: 75.88% / [[297, 40, 16], [66, 173, 31], [10, 30, 137]], * Val accuracy / confusion: 55.77% / [[174, 47, 9], [90, 69, 16], [39, 29, 47]] ------------------------------ Epoch 240 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.874926 - Iter 024 / 025, Loss: 0.593200 * Train accuracy / confusion: 74.50% / [[299, 39, 18], [62, 181, 25], [19, 41, 116]], * Val accuracy / confusion: 55.19% / [[155, 59, 16], [70, 61, 44], [17, 27, 71]] ------------------------------ Epoch 241 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.589602 - Iter 024 / 025, Loss: 0.633239 * Train accuracy / confusion: 74.62% / [[308, 35, 14], [63, 175, 30], [19, 42, 114]], * Val accuracy / confusion: 45.19% / [[66, 141, 23], [23, 111, 41], [3, 54, 58]] ------------------------------ Epoch 242 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.425550 - Iter 024 / 025, Loss: 0.670952 * Train accuracy / confusion: 73.00% / [[296, 39, 18], [73, 165, 31], [22, 33, 123]], * Val accuracy / confusion: 56.35% / [[169, 49, 12], [88, 68, 19], [31, 28, 56]] ------------------------------ Epoch 243 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.517497 - Iter 024 / 025, Loss: 0.573754 * Train accuracy / confusion: 75.75% / [[293, 51, 9], [59, 191, 20], [20, 35, 122]], * Val accuracy / confusion: 49.04% / [[125, 63, 42], [54, 65, 56], [12, 38, 65]] ------------------------------ Epoch 244 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.659886 - Iter 024 / 025, Loss: 0.502022 * Train accuracy / confusion: 76.38% / [[299, 40, 13], [62, 187, 21], [20, 33, 125]], * Val accuracy / confusion: 55.19% / [[182, 41, 7], [99, 48, 28], [29, 29, 57]] ------------------------------ Epoch 245 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.704730 - Iter 024 / 025, Loss: 0.684649 * Train accuracy / confusion: 74.12% / [[295, 44, 15], [66, 172, 30], [18, 34, 126]], * Val accuracy / confusion: 47.50% / [[96, 125, 9], [30, 135, 10], [7, 92, 16]] ------------------------------ Epoch 246 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.663098 - Iter 024 / 025, Loss: 0.574440 * Train accuracy / confusion: 76.38% / [[312, 40, 11], [54, 182, 29], [18, 37, 117]], * Val accuracy / confusion: 55.19% / [[124, 100, 6], [53, 102, 20], [14, 40, 61]] ------------------------------ Epoch 247 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.633354 - Iter 024 / 025, Loss: 0.451492 * Train accuracy / confusion: 74.50% / [[291, 45, 19], [56, 181, 31], [24, 29, 124]], * Val accuracy / confusion: 52.50% / [[141, 68, 21], [65, 70, 40], [16, 37, 62]] ------------------------------ Epoch 248 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.790268 - Iter 024 / 025, Loss: 0.512361 * Train accuracy / confusion: 73.50% / [[298, 48, 14], [68, 164, 31], [18, 33, 126]], * Val accuracy / confusion: 56.35% / [[168, 42, 20], [82, 53, 40], [23, 20, 72]] ------------------------------ Epoch 249 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.467644 - Iter 024 / 025, Loss: 0.680258 * Train accuracy / confusion: 73.62% / [[303, 43, 14], [68, 167, 27], [24, 35, 119]], * Val accuracy / confusion: 56.15% / [[191, 21, 18], [105, 43, 27], [38, 19, 58]] ------------------------------ Epoch 250 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.518780 - Iter 024 / 025, Loss: 0.567323 * Train accuracy / confusion: 76.88% / [[300, 39, 19], [53, 184, 27], [13, 34, 131]], * Val accuracy / confusion: 52.12% / [[149, 77, 4], [74, 88, 13], [20, 61, 34]] ------------------------------ Epoch 251 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.400355 - Iter 024 / 025, Loss: 0.589749 * Train accuracy / confusion: 75.00% / [[299, 38, 19], [66, 178, 26], [19, 32, 123]], * Val accuracy / confusion: 53.65% / [[131, 87, 12], [48, 112, 15], [15, 64, 36]] ------------------------------ Epoch 252 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.599518 - Iter 024 / 025, Loss: 0.440813 * Train accuracy / confusion: 75.25% / [[304, 43, 11], [59, 176, 32], [21, 32, 122]], * Val accuracy / confusion: 51.15% / [[138, 64, 28], [70, 68, 37], [19, 36, 60]] ------------------------------ Epoch 253 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.628416 - Iter 024 / 025, Loss: 0.517885 * Train accuracy / confusion: 76.62% / [[310, 39, 5], [64, 182, 21], [17, 41, 121]], * Val accuracy / confusion: 51.92% / [[146, 82, 2], [71, 99, 5], [21, 69, 25]] ------------------------------ Epoch 254 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.526487 - Iter 024 / 025, Loss: 0.407136 * Train accuracy / confusion: 76.25% / [[298, 43, 16], [52, 176, 39], [12, 28, 136]], * Val accuracy / confusion: 52.69% / [[172, 36, 22], [98, 38, 39], [32, 19, 64]] ------------------------------ Epoch 255 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.561263 - Iter 024 / 025, Loss: 0.323823 * Train accuracy / confusion: 79.75% / [[320, 24, 13], [54, 183, 28], [11, 32, 135]], * Val accuracy / confusion: 51.54% / [[132, 70, 28], [64, 77, 34], [16, 40, 59]] ------------------------------ Epoch 256 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.777829 - Iter 024 / 025, Loss: 0.736063 * Train accuracy / confusion: 74.88% / [[290, 50, 14], [56, 175, 37], [17, 27, 134]], * Val accuracy / confusion: 56.54% / [[168, 54, 8], [85, 70, 20], [27, 32, 56]] ------------------------------ Epoch 257 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.502603 - Iter 024 / 025, Loss: 0.495774 * Train accuracy / confusion: 75.88% / [[300, 40, 17], [61, 178, 27], [15, 33, 129]], * Val accuracy / confusion: 52.31% / [[136, 40, 54], [61, 46, 68], [9, 16, 90]] ------------------------------ Epoch 258 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.415815 - Iter 024 / 025, Loss: 0.584204 * Train accuracy / confusion: 76.88% / [[306, 31, 21], [58, 184, 22], [12, 41, 125]], * Val accuracy / confusion: 55.00% / [[137, 46, 47], [66, 68, 41], [14, 20, 81]] ------------------------------ Epoch 259 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.626186 - Iter 024 / 025, Loss: 0.664591 * Train accuracy / confusion: 77.00% / [[299, 40, 13], [63, 179, 24], [15, 29, 138]], * Val accuracy / confusion: 52.31% / [[110, 95, 25], [39, 106, 30], [6, 53, 56]] ------------------------------ Epoch 260 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.355406 - Iter 024 / 025, Loss: 0.628521 * Train accuracy / confusion: 76.50% / [[311, 28, 16], [67, 179, 21], [20, 36, 122]], * Val accuracy / confusion: 55.96% / [[168, 47, 15], [83, 64, 28], [24, 32, 59]] ------------------------------ Epoch 261 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.618544 - Iter 024 / 025, Loss: 0.483970 * Train accuracy / confusion: 76.75% / [[305, 37, 13], [57, 183, 28], [18, 33, 126]], * Val accuracy / confusion: 50.38% / [[137, 51, 42], [75, 48, 52], [12, 26, 77]] ------------------------------ Epoch 262 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.573953 - Iter 024 / 025, Loss: 0.636216 * Train accuracy / confusion: 78.75% / [[316, 26, 15], [51, 188, 27], [18, 33, 126]], * Val accuracy / confusion: 49.23% / [[108, 109, 13], [49, 104, 22], [14, 57, 44]] ------------------------------ Epoch 263 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.545162 - Iter 024 / 025, Loss: 0.852700 * Train accuracy / confusion: 77.25% / [[312, 39, 9], [68, 170, 25], [18, 23, 136]], * Val accuracy / confusion: 51.54% / [[141, 36, 53], [74, 52, 49], [21, 19, 75]] ------------------------------ Epoch 264 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.688508 - Iter 024 / 025, Loss: 0.546844 * Train accuracy / confusion: 73.00% / [[286, 47, 17], [62, 175, 37], [17, 36, 123]], * Val accuracy / confusion: 53.65% / [[175, 54, 1], [91, 83, 1], [44, 50, 21]] ------------------------------ Epoch 265 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.547150 - Iter 024 / 025, Loss: 0.439893 * Train accuracy / confusion: 76.88% / [[322, 29, 9], [66, 173, 28], [20, 33, 120]], * Val accuracy / confusion: 56.73% / [[149, 46, 35], [66, 68, 41], [15, 22, 78]] ------------------------------ Epoch 266 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.494605 - Iter 024 / 025, Loss: 0.917336 * Train accuracy / confusion: 74.88% / [[292, 51, 15], [62, 180, 23], [22, 28, 127]], * Val accuracy / confusion: 52.69% / [[130, 53, 47], [56, 58, 61], [5, 24, 86]] ------------------------------ Epoch 267 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.583896 - Iter 024 / 025, Loss: 0.409391 * Train accuracy / confusion: 77.12% / [[315, 31, 12], [63, 175, 25], [24, 28, 127]], * Val accuracy / confusion: 51.15% / [[186, 15, 29], [110, 21, 44], [42, 14, 59]] ------------------------------ Epoch 268 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.609571 - Iter 024 / 025, Loss: 0.688648 * Train accuracy / confusion: 76.25% / [[305, 36, 16], [58, 183, 26], [25, 29, 122]], * Val accuracy / confusion: 56.15% / [[175, 37, 18], [94, 56, 25], [23, 31, 61]] ------------------------------ Epoch 269 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.734046 - Iter 024 / 025, Loss: 0.567472 * Train accuracy / confusion: 78.38% / [[312, 30, 12], [59, 181, 27], [20, 25, 134]], * Val accuracy / confusion: 53.27% / [[120, 88, 22], [53, 100, 22], [12, 46, 57]] ------------------------------ Epoch 270 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.519040 - Iter 024 / 025, Loss: 0.469562 * Train accuracy / confusion: 77.50% / [[310, 28, 17], [56, 190, 22], [20, 37, 120]], * Val accuracy / confusion: 54.04% / [[139, 65, 26], [60, 77, 38], [18, 32, 65]] ------------------------------ Epoch 271 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.589180 - Iter 024 / 025, Loss: 1.003063 * Train accuracy / confusion: 75.88% / [[304, 45, 13], [60, 177, 26], [17, 32, 126]], * Val accuracy / confusion: 48.65% / [[91, 113, 26], [42, 111, 22], [10, 54, 51]] ------------------------------ Epoch 272 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.502935 - Iter 024 / 025, Loss: 0.520390 * Train accuracy / confusion: 78.25% / [[297, 43, 12], [54, 191, 22], [15, 28, 138]], * Val accuracy / confusion: 53.85% / [[190, 15, 25], [102, 19, 54], [36, 8, 71]] ------------------------------ Epoch 273 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.486285 - Iter 024 / 025, Loss: 0.727259 * Train accuracy / confusion: 75.25% / [[314, 33, 13], [63, 163, 38], [21, 30, 125]], * Val accuracy / confusion: 54.23% / [[173, 47, 10], [94, 77, 4], [27, 56, 32]] ------------------------------ Epoch 274 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.616257 - Iter 024 / 025, Loss: 0.375360 * Train accuracy / confusion: 80.12% / [[316, 23, 21], [48, 193, 25], [15, 27, 132]], * Val accuracy / confusion: 50.96% / [[154, 45, 31], [87, 53, 35], [20, 37, 58]] ------------------------------ Epoch 275 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.444982 - Iter 024 / 025, Loss: 0.557310 * Train accuracy / confusion: 79.75% / [[318, 27, 14], [49, 195, 26], [19, 27, 125]], * Val accuracy / confusion: 54.42% / [[136, 85, 9], [53, 109, 13], [10, 67, 38]] ------------------------------ Epoch 276 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.601146 - Iter 024 / 025, Loss: 0.729947 * Train accuracy / confusion: 77.00% / [[302, 41, 16], [56, 184, 24], [17, 30, 130]], * Val accuracy / confusion: 56.92% / [[169, 40, 21], [75, 58, 42], [23, 23, 69]] ------------------------------ Epoch 277 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.460281 - Iter 024 / 025, Loss: 0.421204 * Train accuracy / confusion: 78.75% / [[311, 36, 10], [54, 186, 29], [19, 22, 133]], * Val accuracy / confusion: 54.81% / [[187, 18, 25], [106, 28, 41], [34, 11, 70]] ------------------------------ Epoch 278 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.568224 - Iter 024 / 025, Loss: 0.505422 * Train accuracy / confusion: 78.88% / [[312, 35, 12], [48, 189, 28], [12, 34, 130]], * Val accuracy / confusion: 56.15% / [[181, 45, 4], [88, 84, 3], [37, 51, 27]] ------------------------------ Epoch 279 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.270633 - Iter 024 / 025, Loss: 0.570120 * Train accuracy / confusion: 77.12% / [[310, 40, 7], [60, 185, 21], [21, 34, 122]], * Val accuracy / confusion: 48.46% / [[104, 108, 18], [42, 86, 47], [8, 45, 62]] ------------------------------ Epoch 280 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.340974 - Iter 024 / 025, Loss: 0.478006 * Train accuracy / confusion: 81.00% / [[321, 31, 10], [51, 190, 24], [6, 30, 137]], * Val accuracy / confusion: 53.08% / [[151, 29, 50], [71, 43, 61], [16, 17, 82]] ------------------------------ Epoch 281 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.495137 - Iter 024 / 025, Loss: 0.542041 * Train accuracy / confusion: 78.50% / [[312, 32, 10], [60, 183, 25], [20, 25, 133]], * Val accuracy / confusion: 57.31% / [[143, 70, 17], [61, 93, 21], [13, 40, 62]] ------------------------------ Epoch 282 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.516731 - Iter 024 / 025, Loss: 0.418579 * Train accuracy / confusion: 76.75% / [[296, 39, 18], [54, 194, 22], [23, 30, 124]], * Val accuracy / confusion: 54.42% / [[175, 33, 22], [92, 45, 38], [25, 27, 63]] ------------------------------ Epoch 283 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.687905 - Iter 024 / 025, Loss: 0.416198 * Train accuracy / confusion: 79.25% / [[309, 37, 9], [48, 201, 18], [15, 39, 124]], * Val accuracy / confusion: 52.88% / [[142, 52, 36], [70, 64, 41], [20, 26, 69]] ------------------------------ Epoch 284 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.367740 - Iter 024 / 025, Loss: 0.659934 * Train accuracy / confusion: 79.75% / [[314, 29, 14], [52, 186, 31], [14, 22, 138]], * Val accuracy / confusion: 51.92% / [[129, 99, 2], [54, 119, 2], [21, 72, 22]] ------------------------------ Epoch 285 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.283523 - Iter 024 / 025, Loss: 0.703644 * Train accuracy / confusion: 78.38% / [[303, 41, 12], [48, 199, 19], [16, 37, 125]], * Val accuracy / confusion: 53.46% / [[138, 72, 20], [59, 82, 34], [10, 47, 58]] ------------------------------ Epoch 286 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.445334 - Iter 024 / 025, Loss: 0.632797 * Train accuracy / confusion: 80.88% / [[317, 31, 12], [46, 197, 18], [14, 32, 133]], * Val accuracy / confusion: 54.81% / [[155, 46, 29], [68, 65, 42], [19, 31, 65]] ------------------------------ Epoch 287 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.336427 - Iter 024 / 025, Loss: 0.497984 * Train accuracy / confusion: 79.75% / [[312, 32, 9], [49, 190, 29], [13, 30, 136]], * Val accuracy / confusion: 54.23% / [[177, 18, 35], [97, 27, 51], [28, 9, 78]] ------------------------------ Epoch 288 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.431945 - Iter 024 / 025, Loss: 0.480657 * Train accuracy / confusion: 81.12% / [[305, 38, 12], [40, 208, 21], [15, 25, 136]], * Val accuracy / confusion: 52.31% / [[142, 50, 38], [61, 68, 46], [13, 40, 62]] ------------------------------ Epoch 289 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.621848 - Iter 024 / 025, Loss: 0.434343 * Train accuracy / confusion: 79.25% / [[308, 27, 20], [51, 197, 21], [14, 33, 129]], * Val accuracy / confusion: 55.38% / [[188, 42, 0], [94, 76, 5], [35, 56, 24]] ------------------------------ Epoch 290 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.381813 - Iter 024 / 025, Loss: 0.733416 * Train accuracy / confusion: 77.12% / [[296, 43, 16], [43, 196, 26], [17, 38, 125]], * Val accuracy / confusion: 55.77% / [[178, 24, 28], [84, 44, 47], [24, 23, 68]] ------------------------------ Epoch 291 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.610456 - Iter 024 / 025, Loss: 0.541993 * Train accuracy / confusion: 79.88% / [[311, 33, 11], [44, 201, 24], [16, 33, 127]], * Val accuracy / confusion: 53.08% / [[148, 41, 41], [75, 61, 39], [12, 36, 67]] ------------------------------ Epoch 292 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.400324 - Iter 024 / 025, Loss: 0.558181 * Train accuracy / confusion: 79.75% / [[312, 41, 5], [53, 196, 15], [13, 35, 130]], * Val accuracy / confusion: 54.81% / [[159, 37, 34], [74, 60, 41], [19, 30, 66]] ------------------------------ Epoch 293 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.489493 - Iter 024 / 025, Loss: 0.595174 * Train accuracy / confusion: 82.62% / [[326, 26, 7], [49, 193, 25], [11, 21, 142]], * Val accuracy / confusion: 55.38% / [[169, 57, 4], [75, 99, 1], [26, 69, 20]] ------------------------------ Epoch 294 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.672122 - Iter 024 / 025, Loss: 0.307352 * Train accuracy / confusion: 80.88% / [[314, 32, 13], [47, 200, 19], [13, 29, 133]], * Val accuracy / confusion: 55.19% / [[195, 12, 23], [111, 26, 38], [32, 17, 66]] ------------------------------ Epoch 295 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.390485 - Iter 024 / 025, Loss: 0.803121 * Train accuracy / confusion: 82.00% / [[321, 30, 9], [44, 204, 20], [16, 25, 131]], * Val accuracy / confusion: 60.38% / [[187, 37, 6], [95, 59, 21], [27, 20, 68]] ------------------------------ Epoch 296 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.494192 - Iter 024 / 025, Loss: 0.327231 * Train accuracy / confusion: 78.75% / [[305, 34, 19], [51, 192, 23], [14, 29, 133]], * Val accuracy / confusion: 54.23% / [[169, 35, 26], [89, 54, 32], [33, 23, 59]] ------------------------------ Epoch 297 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.666071 - Iter 024 / 025, Loss: 0.690406 * Train accuracy / confusion: 79.12% / [[317, 27, 12], [57, 185, 26], [14, 31, 131]], * Val accuracy / confusion: 55.00% / [[175, 33, 22], [91, 52, 32], [25, 31, 59]] ------------------------------ Epoch 298 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.605000 - Iter 024 / 025, Loss: 0.425394 * Train accuracy / confusion: 82.00% / [[299, 37, 15], [44, 217, 11], [14, 23, 140]], * Val accuracy / confusion: 51.35% / [[136, 65, 29], [58, 66, 51], [13, 37, 65]] ------------------------------ Epoch 299 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.333806 - Iter 024 / 025, Loss: 0.441122 * Train accuracy / confusion: 81.00% / [[303, 38, 17], [45, 200, 19], [15, 18, 145]], * Val accuracy / confusion: 49.42% / [[127, 68, 35], [63, 69, 43], [11, 43, 61]] ------------------------------ Epoch 300 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.420061 - Iter 024 / 025, Loss: 0.408157 * Train accuracy / confusion: 81.38% / [[328, 23, 9], [52, 193, 19], [16, 30, 130]], * Val accuracy / confusion: 54.23% / [[181, 33, 16], [92, 46, 37], [33, 27, 55]] ------------------------------ Epoch 301 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.411882 - Iter 024 / 025, Loss: 0.574191 * Train accuracy / confusion: 78.12% / [[310, 33, 13], [49, 184, 35], [17, 28, 131]], * Val accuracy / confusion: 55.77% / [[192, 31, 7], [98, 61, 16], [42, 36, 37]] ------------------------------ Epoch 302 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.471380 - Iter 024 / 025, Loss: 0.247070 * Train accuracy / confusion: 81.12% / [[306, 41, 6], [41, 207, 24], [14, 25, 136]], * Val accuracy / confusion: 49.04% / [[75, 111, 44], [29, 107, 39], [3, 39, 73]] ------------------------------ Epoch 303 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.861068 - Iter 024 / 025, Loss: 0.442153 * Train accuracy / confusion: 80.38% / [[316, 26, 14], [53, 196, 17], [20, 27, 131]], * Val accuracy / confusion: 54.42% / [[187, 10, 33], [103, 22, 50], [36, 5, 74]] ------------------------------ Epoch 304 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.323688 - Iter 024 / 025, Loss: 0.339132 * Train accuracy / confusion: 77.25% / [[298, 42, 16], [61, 177, 32], [11, 20, 143]], * Val accuracy / confusion: 60.00% / [[170, 41, 19], [72, 81, 22], [27, 27, 61]] ------------------------------ Epoch 305 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.786742 - Iter 024 / 025, Loss: 0.394520 * Train accuracy / confusion: 79.75% / [[308, 35, 13], [46, 199, 21], [21, 26, 131]], * Val accuracy / confusion: 53.08% / [[150, 30, 50], [64, 44, 67], [10, 23, 82]] ------------------------------ Epoch 306 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.396074 - Iter 024 / 025, Loss: 0.389755 * Train accuracy / confusion: 83.75% / [[321, 29, 8], [42, 200, 21], [12, 18, 149]], * Val accuracy / confusion: 55.77% / [[180, 42, 8], [91, 68, 16], [38, 35, 42]] ------------------------------ Epoch 307 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.384545 - Iter 024 / 025, Loss: 0.582502 * Train accuracy / confusion: 80.25% / [[315, 25, 12], [53, 190, 27], [20, 21, 137]], * Val accuracy / confusion: 54.04% / [[197, 20, 13], [107, 28, 40], [39, 20, 56]] ------------------------------ Epoch 308 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.311453 - Iter 024 / 025, Loss: 0.436871 * Train accuracy / confusion: 83.38% / [[313, 38, 8], [32, 214, 24], [9, 22, 140]], * Val accuracy / confusion: 53.65% / [[130, 63, 37], [58, 84, 33], [11, 39, 65]] ------------------------------ Epoch 309 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.427818 - Iter 024 / 025, Loss: 0.560428 * Train accuracy / confusion: 80.00% / [[314, 32, 12], [49, 196, 23], [14, 30, 130]], * Val accuracy / confusion: 55.96% / [[191, 28, 11], [96, 46, 33], [35, 26, 54]] ------------------------------ Epoch 310 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.655886 - Iter 024 / 025, Loss: 0.450732 * Train accuracy / confusion: 80.88% / [[319, 28, 13], [41, 195, 25], [16, 30, 133]], * Val accuracy / confusion: 56.15% / [[106, 99, 25], [26, 122, 27], [5, 46, 64]] ------------------------------ Epoch 311 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.639469 - Iter 024 / 025, Loss: 0.534233 * Train accuracy / confusion: 80.62% / [[313, 38, 11], [49, 196, 21], [14, 22, 136]], * Val accuracy / confusion: 56.92% / [[182, 27, 21], [101, 60, 14], [32, 29, 54]] ------------------------------ Epoch 312 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.304167 - Iter 024 / 025, Loss: 0.397663 * Train accuracy / confusion: 83.00% / [[320, 22, 12], [47, 203, 17], [9, 29, 141]], * Val accuracy / confusion: 55.58% / [[149, 58, 23], [57, 71, 47], [16, 30, 69]] ------------------------------ Epoch 313 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.383815 - Iter 024 / 025, Loss: 0.571544 * Train accuracy / confusion: 82.88% / [[319, 28, 7], [40, 210, 20], [12, 30, 134]], * Val accuracy / confusion: 55.19% / [[162, 39, 29], [75, 54, 46], [19, 25, 71]] ------------------------------ Epoch 314 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.574587 - Iter 024 / 025, Loss: 0.378982 * Train accuracy / confusion: 83.12% / [[324, 24, 10], [37, 201, 26], [18, 20, 140]], * Val accuracy / confusion: 56.54% / [[149, 63, 18], [52, 97, 26], [27, 40, 48]] ------------------------------ Epoch 315 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.412876 - Iter 024 / 025, Loss: 0.343014 * Train accuracy / confusion: 81.75% / [[317, 27, 12], [41, 199, 27], [12, 27, 138]], * Val accuracy / confusion: 58.27% / [[159, 59, 12], [67, 88, 20], [21, 38, 56]] ------------------------------ Epoch 316 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.274701 - Iter 024 / 025, Loss: 0.487363 * Train accuracy / confusion: 81.00% / [[313, 38, 11], [37, 205, 21], [17, 28, 130]], * Val accuracy / confusion: 56.54% / [[174, 39, 17], [77, 51, 47], [27, 19, 69]] ------------------------------ Epoch 317 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.575953 - Iter 024 / 025, Loss: 0.385851 * Train accuracy / confusion: 80.50% / [[300, 32, 19], [42, 198, 30], [12, 21, 146]], * Val accuracy / confusion: 54.04% / [[127, 88, 15], [44, 111, 20], [14, 58, 43]] ------------------------------ Epoch 318 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.356072 - Iter 024 / 025, Loss: 0.266139 * Train accuracy / confusion: 82.50% / [[313, 23, 14], [39, 210, 24], [17, 23, 137]], * Val accuracy / confusion: 47.88% / [[129, 39, 62], [61, 40, 74], [18, 17, 80]] ------------------------------ Epoch 319 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.396067 - Iter 024 / 025, Loss: 0.389210 * Train accuracy / confusion: 80.38% / [[310, 33, 10], [50, 197, 25], [17, 22, 136]], * Val accuracy / confusion: 57.88% / [[146, 77, 7], [53, 99, 23], [19, 40, 56]] ------------------------------ Epoch 320 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.437301 - Iter 024 / 025, Loss: 0.330747 * Train accuracy / confusion: 83.12% / [[319, 29, 11], [38, 206, 19], [13, 25, 140]], * Val accuracy / confusion: 51.73% / [[118, 75, 37], [57, 81, 37], [9, 36, 70]] ------------------------------ Epoch 321 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.338365 - Iter 024 / 025, Loss: 0.442378 * Train accuracy / confusion: 82.50% / [[312, 30, 14], [40, 209, 16], [20, 20, 139]], * Val accuracy / confusion: 57.12% / [[179, 43, 8], [72, 77, 26], [38, 36, 41]] ------------------------------ Epoch 322 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.312886 - Iter 024 / 025, Loss: 0.619501 * Train accuracy / confusion: 83.75% / [[315, 22, 16], [38, 209, 22], [18, 14, 146]], * Val accuracy / confusion: 49.23% / [[111, 54, 65], [47, 68, 60], [13, 25, 77]] ------------------------------ Epoch 323 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.467054 - Iter 024 / 025, Loss: 0.475620 * Train accuracy / confusion: 81.00% / [[303, 47, 8], [44, 209, 15], [14, 24, 136]], * Val accuracy / confusion: 57.50% / [[175, 40, 15], [83, 71, 21], [33, 29, 53]] ------------------------------ Epoch 324 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.414379 - Iter 024 / 025, Loss: 0.359731 * Train accuracy / confusion: 83.12% / [[317, 25, 11], [52, 196, 19], [14, 14, 152]], * Val accuracy / confusion: 50.38% / [[151, 27, 52], [70, 22, 83], [18, 8, 89]] ------------------------------ Epoch 325 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.438583 - Iter 024 / 025, Loss: 0.415851 * Train accuracy / confusion: 83.50% / [[316, 27, 13], [41, 211, 18], [9, 24, 141]], * Val accuracy / confusion: 53.46% / [[152, 39, 39], [61, 45, 69], [16, 18, 81]] ------------------------------ Epoch 326 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.412781 - Iter 024 / 025, Loss: 0.465149 * Train accuracy / confusion: 84.00% / [[323, 26, 7], [45, 205, 15], [9, 26, 144]], * Val accuracy / confusion: 56.35% / [[160, 64, 6], [67, 91, 17], [19, 54, 42]] ------------------------------ Epoch 327 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.536513 - Iter 024 / 025, Loss: 0.349687 * Train accuracy / confusion: 81.50% / [[311, 33, 11], [41, 210, 21], [13, 29, 131]], * Val accuracy / confusion: 49.42% / [[84, 130, 16], [30, 122, 23], [13, 51, 51]] ------------------------------ Epoch 328 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.520620 - Iter 024 / 025, Loss: 0.361479 * Train accuracy / confusion: 82.75% / [[314, 31, 8], [44, 204, 20], [11, 24, 144]], * Val accuracy / confusion: 53.65% / [[164, 51, 15], [80, 65, 30], [22, 43, 50]] ------------------------------ Epoch 329 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.250185 - Iter 024 / 025, Loss: 0.356277 * Train accuracy / confusion: 83.38% / [[316, 33, 7], [40, 206, 23], [11, 19, 145]], * Val accuracy / confusion: 57.31% / [[165, 59, 6], [71, 92, 12], [37, 37, 41]] ------------------------------ Epoch 330 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.467133 - Iter 024 / 025, Loss: 0.321671 * Train accuracy / confusion: 84.12% / [[314, 34, 8], [41, 205, 21], [7, 16, 154]], * Val accuracy / confusion: 52.50% / [[151, 48, 31], [79, 63, 33], [17, 39, 59]] ------------------------------ Epoch 331 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.199082 - Iter 024 / 025, Loss: 0.226709 * Train accuracy / confusion: 83.50% / [[319, 36, 3], [47, 203, 17], [8, 21, 146]], * Val accuracy / confusion: 51.54% / [[111, 81, 38], [42, 84, 49], [13, 29, 73]] ------------------------------ Epoch 332 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.532027 - Iter 024 / 025, Loss: 0.579640 * Train accuracy / confusion: 85.12% / [[321, 33, 8], [30, 206, 22], [10, 16, 154]], * Val accuracy / confusion: 57.31% / [[163, 52, 15], [64, 87, 24], [24, 43, 48]] ------------------------------ Epoch 333 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.313422 - Iter 024 / 025, Loss: 0.329702 * Train accuracy / confusion: 83.12% / [[316, 25, 16], [42, 210, 16], [16, 20, 139]], * Val accuracy / confusion: 48.27% / [[86, 107, 37], [24, 103, 48], [10, 43, 62]] ------------------------------ Epoch 334 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.473640 - Iter 024 / 025, Loss: 0.272667 * Train accuracy / confusion: 87.38% / [[326, 26, 7], [29, 216, 19], [4, 16, 157]], * Val accuracy / confusion: 49.23% / [[125, 83, 22], [52, 92, 31], [13, 63, 39]] ------------------------------ Epoch 335 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.556239 - Iter 024 / 025, Loss: 0.419381 * Train accuracy / confusion: 84.75% / [[324, 27, 8], [39, 213, 19], [8, 21, 141]], * Val accuracy / confusion: 56.73% / [[168, 52, 10], [78, 74, 23], [26, 36, 53]] ------------------------------ Epoch 336 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.361258 - Iter 024 / 025, Loss: 0.637263 * Train accuracy / confusion: 83.00% / [[310, 31, 13], [30, 214, 22], [17, 23, 140]], * Val accuracy / confusion: 58.85% / [[157, 49, 24], [57, 83, 35], [10, 39, 66]] ------------------------------ Epoch 337 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.369151 - Iter 024 / 025, Loss: 0.456090 * Train accuracy / confusion: 86.25% / [[330, 21, 7], [39, 206, 24], [7, 12, 154]], * Val accuracy / confusion: 54.62% / [[149, 44, 37], [63, 66, 46], [19, 27, 69]] ------------------------------ Epoch 338 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.399259 - Iter 024 / 025, Loss: 0.433383 * Train accuracy / confusion: 84.75% / [[322, 27, 9], [38, 213, 14], [13, 21, 143]], * Val accuracy / confusion: 54.62% / [[172, 23, 35], [83, 38, 54], [17, 24, 74]] ------------------------------ Epoch 339 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.307839 - Iter 024 / 025, Loss: 0.366238 * Train accuracy / confusion: 85.88% / [[327, 22, 6], [39, 207, 23], [7, 16, 153]], * Val accuracy / confusion: 55.38% / [[152, 34, 44], [61, 62, 52], [15, 26, 74]] ------------------------------ Epoch 340 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.419466 - Iter 024 / 025, Loss: 0.290682 * Train accuracy / confusion: 84.50% / [[322, 33, 7], [39, 206, 20], [6, 19, 148]], * Val accuracy / confusion: 55.19% / [[144, 83, 3], [56, 103, 16], [17, 58, 40]] ------------------------------ Epoch 341 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.359351 - Iter 024 / 025, Loss: 0.561930 * Train accuracy / confusion: 85.12% / [[325, 21, 12], [38, 210, 17], [11, 20, 146]], * Val accuracy / confusion: 56.73% / [[190, 15, 25], [98, 29, 48], [26, 13, 76]] ------------------------------ Epoch 342 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.414291 - Iter 024 / 025, Loss: 0.287447 * Train accuracy / confusion: 87.62% / [[327, 19, 9], [32, 220, 15], [7, 17, 154]], * Val accuracy / confusion: 58.85% / [[158, 48, 24], [57, 75, 43], [21, 21, 73]] ------------------------------ Epoch 343 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.216676 - Iter 024 / 025, Loss: 0.473875 * Train accuracy / confusion: 85.12% / [[321, 27, 8], [40, 209, 16], [13, 15, 151]], * Val accuracy / confusion: 54.42% / [[171, 34, 25], [89, 49, 37], [17, 35, 63]] ------------------------------ Epoch 344 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.642850 - Iter 024 / 025, Loss: 0.872216 * Train accuracy / confusion: 85.00% / [[317, 28, 12], [37, 212, 16], [7, 20, 151]], * Val accuracy / confusion: 53.85% / [[178, 28, 24], [85, 32, 58], [29, 16, 70]] ------------------------------ Epoch 345 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.447968 - Iter 024 / 025, Loss: 0.594059 * Train accuracy / confusion: 85.75% / [[312, 29, 13], [30, 222, 17], [9, 16, 152]], * Val accuracy / confusion: 53.46% / [[123, 91, 16], [40, 111, 24], [12, 59, 44]] ------------------------------ Epoch 346 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.450061 - Iter 024 / 025, Loss: 0.246133 * Train accuracy / confusion: 84.62% / [[321, 27, 10], [41, 213, 15], [12, 18, 143]], * Val accuracy / confusion: 58.08% / [[168, 42, 20], [64, 76, 35], [19, 38, 58]] ------------------------------ Epoch 347 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.285577 - Iter 024 / 025, Loss: 0.342611 * Train accuracy / confusion: 86.88% / [[327, 27, 6], [33, 221, 14], [10, 15, 147]], * Val accuracy / confusion: 53.08% / [[167, 45, 18], [93, 51, 31], [28, 29, 58]] ------------------------------ Epoch 348 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.267745 - Iter 024 / 025, Loss: 0.404653 * Train accuracy / confusion: 84.75% / [[317, 26, 10], [36, 217, 17], [18, 15, 144]], * Val accuracy / confusion: 45.38% / [[77, 120, 33], [46, 98, 31], [11, 43, 61]] ------------------------------ Epoch 349 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.266643 - Iter 024 / 025, Loss: 0.485145 * Train accuracy / confusion: 87.50% / [[322, 23, 11], [27, 225, 16], [5, 18, 153]], * Val accuracy / confusion: 55.19% / [[186, 38, 6], [106, 57, 12], [31, 40, 44]] ------------------------------ Epoch 350 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.312743 - Iter 024 / 025, Loss: 0.379486 * Train accuracy / confusion: 84.50% / [[312, 27, 13], [33, 221, 17], [18, 16, 143]], * Val accuracy / confusion: 56.15% / [[150, 58, 22], [50, 75, 50], [13, 35, 67]] ------------------------------ Epoch 351 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.203156 - Iter 024 / 025, Loss: 0.401050 * Train accuracy / confusion: 86.62% / [[320, 22, 13], [30, 223, 17], [10, 15, 150]], * Val accuracy / confusion: 59.42% / [[149, 60, 21], [50, 95, 30], [19, 31, 65]] ------------------------------ Epoch 352 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.200940 - Iter 024 / 025, Loss: 0.576736 * Train accuracy / confusion: 84.62% / [[309, 26, 14], [36, 217, 20], [11, 16, 151]], * Val accuracy / confusion: 51.15% / [[152, 36, 42], [79, 39, 57], [18, 22, 75]] ------------------------------ Epoch 353 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.487839 - Iter 024 / 025, Loss: 0.278548 * Train accuracy / confusion: 85.88% / [[318, 28, 10], [33, 213, 23], [8, 11, 156]], * Val accuracy / confusion: 53.65% / [[127, 56, 47], [42, 78, 55], [14, 27, 74]] ------------------------------ Epoch 354 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.300573 - Iter 024 / 025, Loss: 0.255885 * Train accuracy / confusion: 85.62% / [[317, 31, 9], [21, 226, 19], [15, 20, 142]], * Val accuracy / confusion: 55.58% / [[185, 36, 9], [95, 63, 17], [42, 32, 41]] ------------------------------ Epoch 355 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.343160 - Iter 024 / 025, Loss: 0.266498 * Train accuracy / confusion: 87.25% / [[325, 23, 8], [32, 220, 14], [10, 15, 153]], * Val accuracy / confusion: 55.38% / [[159, 37, 34], [75, 59, 41], [22, 23, 70]] ------------------------------ Epoch 356 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.413153 - Iter 024 / 025, Loss: 0.206223 * Train accuracy / confusion: 86.00% / [[322, 17, 13], [41, 211, 17], [15, 9, 155]], * Val accuracy / confusion: 53.85% / [[149, 49, 32], [73, 72, 30], [15, 41, 59]] ------------------------------ Epoch 357 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.355923 - Iter 024 / 025, Loss: 0.336577 * Train accuracy / confusion: 85.25% / [[319, 25, 12], [34, 218, 18], [7, 22, 145]], * Val accuracy / confusion: 53.65% / [[138, 38, 54], [53, 62, 60], [16, 20, 79]] ------------------------------ Epoch 358 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.254576 - Iter 024 / 025, Loss: 0.177950 * Train accuracy / confusion: 89.12% / [[329, 22, 4], [26, 228, 16], [9, 10, 156]], * Val accuracy / confusion: 56.73% / [[143, 55, 32], [46, 87, 42], [10, 40, 65]] ------------------------------ Epoch 359 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.420842 - Iter 024 / 025, Loss: 0.274859 * Train accuracy / confusion: 85.25% / [[324, 17, 15], [34, 218, 15], [17, 20, 140]], * Val accuracy / confusion: 54.81% / [[174, 33, 23], [95, 55, 25], [27, 32, 56]] ------------------------------ Epoch 360 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.393264 - Iter 024 / 025, Loss: 0.479205 * Train accuracy / confusion: 86.00% / [[318, 26, 9], [32, 218, 19], [10, 16, 152]], * Val accuracy / confusion: 57.69% / [[155, 64, 11], [55, 101, 19], [19, 52, 44]] ------------------------------ Epoch 361 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.342681 - Iter 024 / 025, Loss: 0.247299 * Train accuracy / confusion: 85.38% / [[326, 24, 9], [34, 212, 19], [10, 21, 145]], * Val accuracy / confusion: 56.15% / [[127, 66, 37], [36, 87, 52], [10, 27, 78]] ------------------------------ Epoch 362 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.485801 - Iter 024 / 025, Loss: 0.602164 * Train accuracy / confusion: 86.25% / [[324, 26, 6], [28, 216, 24], [10, 16, 150]], * Val accuracy / confusion: 55.38% / [[167, 37, 26], [71, 65, 39], [25, 34, 56]] ------------------------------ Epoch 363 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.254378 - Iter 024 / 025, Loss: 0.194064 * Train accuracy / confusion: 87.00% / [[324, 22, 10], [28, 228, 12], [12, 20, 144]], * Val accuracy / confusion: 57.12% / [[178, 35, 17], [80, 63, 32], [28, 31, 56]] ------------------------------ Epoch 364 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.265891 - Iter 024 / 025, Loss: 0.261595 * Train accuracy / confusion: 86.88% / [[325, 20, 11], [33, 220, 15], [7, 19, 150]], * Val accuracy / confusion: 56.54% / [[147, 71, 12], [60, 107, 8], [14, 61, 40]] ------------------------------ Epoch 365 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.276109 - Iter 024 / 025, Loss: 0.349057 * Train accuracy / confusion: 86.88% / [[322, 21, 8], [28, 224, 20], [14, 14, 149]], * Val accuracy / confusion: 55.38% / [[174, 38, 18], [82, 70, 23], [20, 51, 44]] ------------------------------ Epoch 366 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.374624 - Iter 024 / 025, Loss: 0.443134 * Train accuracy / confusion: 86.25% / [[317, 29, 9], [32, 219, 16], [8, 16, 154]], * Val accuracy / confusion: 55.58% / [[171, 12, 47], [82, 41, 52], [28, 10, 77]] ------------------------------ Epoch 367 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.271038 - Iter 024 / 025, Loss: 0.331875 * Train accuracy / confusion: 84.75% / [[308, 35, 14], [34, 217, 14], [6, 19, 153]], * Val accuracy / confusion: 59.42% / [[170, 38, 22], [72, 76, 27], [19, 33, 63]] ------------------------------ Epoch 368 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.284235 - Iter 024 / 025, Loss: 0.362018 * Train accuracy / confusion: 85.88% / [[326, 23, 8], [34, 212, 18], [14, 16, 149]], * Val accuracy / confusion: 59.81% / [[147, 56, 27], [44, 96, 35], [17, 30, 68]] ------------------------------ Epoch 369 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.245992 - Iter 024 / 025, Loss: 0.371047 * Train accuracy / confusion: 85.88% / [[315, 31, 11], [29, 221, 16], [9, 17, 151]], * Val accuracy / confusion: 57.69% / [[149, 50, 31], [50, 82, 43], [14, 32, 69]] ------------------------------ Epoch 370 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.243942 - Iter 024 / 025, Loss: 0.237388 * Train accuracy / confusion: 87.88% / [[331, 17, 8], [34, 214, 19], [9, 10, 158]], * Val accuracy / confusion: 51.92% / [[119, 88, 23], [51, 91, 33], [10, 45, 60]] ------------------------------ Epoch 371 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.258292 - Iter 024 / 025, Loss: 0.571170 * Train accuracy / confusion: 86.62% / [[320, 32, 7], [29, 221, 15], [9, 15, 152]], * Val accuracy / confusion: 56.15% / [[158, 47, 25], [67, 75, 33], [25, 31, 59]] ------------------------------ Epoch 372 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.426342 - Iter 024 / 025, Loss: 0.167843 * Train accuracy / confusion: 88.00% / [[326, 22, 7], [24, 231, 17], [6, 20, 147]], * Val accuracy / confusion: 53.08% / [[136, 68, 26], [53, 84, 38], [12, 47, 56]] ------------------------------ Epoch 373 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.281957 - Iter 024 / 025, Loss: 0.212918 * Train accuracy / confusion: 86.88% / [[321, 26, 6], [32, 221, 15], [12, 14, 153]], * Val accuracy / confusion: 58.65% / [[147, 76, 7], [48, 123, 4], [19, 61, 35]] ------------------------------ Epoch 374 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.343063 - Iter 024 / 025, Loss: 0.333482 * Train accuracy / confusion: 88.50% / [[330, 20, 6], [28, 231, 10], [14, 14, 147]], * Val accuracy / confusion: 55.38% / [[176, 24, 30], [90, 40, 45], [20, 23, 72]] ------------------------------ Epoch 375 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.430701 - Iter 024 / 025, Loss: 0.317575 * Train accuracy / confusion: 85.62% / [[323, 28, 7], [34, 214, 18], [10, 18, 148]], * Val accuracy / confusion: 59.81% / [[173, 56, 1], [64, 102, 9], [22, 57, 36]] ------------------------------ Epoch 376 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.238048 - Iter 024 / 025, Loss: 0.173257 * Train accuracy / confusion: 88.62% / [[316, 29, 8], [29, 233, 8], [9, 8, 160]], * Val accuracy / confusion: 55.19% / [[146, 44, 40], [62, 67, 46], [24, 17, 74]] ------------------------------ Epoch 377 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.290675 - Iter 024 / 025, Loss: 0.249343 * Train accuracy / confusion: 87.62% / [[321, 24, 10], [25, 229, 16], [11, 13, 151]], * Val accuracy / confusion: 53.65% / [[123, 71, 36], [43, 87, 45], [16, 30, 69]] ------------------------------ Epoch 378 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.119351 - Iter 024 / 025, Loss: 0.498493 * Train accuracy / confusion: 87.38% / [[326, 25, 6], [31, 218, 20], [5, 14, 155]], * Val accuracy / confusion: 53.46% / [[126, 60, 44], [44, 88, 43], [16, 35, 64]] ------------------------------ Epoch 379 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.527698 - Iter 024 / 025, Loss: 0.262943 * Train accuracy / confusion: 88.00% / [[310, 34, 14], [24, 235, 7], [8, 9, 159]], * Val accuracy / confusion: 53.65% / [[139, 56, 35], [56, 75, 44], [12, 38, 65]] ------------------------------ Epoch 380 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.448496 - Iter 024 / 025, Loss: 0.247467 * Train accuracy / confusion: 86.25% / [[323, 26, 7], [31, 223, 17], [9, 20, 144]], * Val accuracy / confusion: 59.04% / [[163, 45, 22], [63, 76, 36], [15, 32, 68]] ------------------------------ Epoch 381 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.516148 - Iter 024 / 025, Loss: 0.457535 * Train accuracy / confusion: 89.00% / [[326, 18, 10], [22, 233, 16], [7, 15, 153]], * Val accuracy / confusion: 56.35% / [[148, 73, 9], [55, 102, 18], [21, 51, 43]] ------------------------------ Epoch 382 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.226285 - Iter 024 / 025, Loss: 0.470771 * Train accuracy / confusion: 88.62% / [[326, 20, 13], [25, 222, 17], [9, 7, 161]], * Val accuracy / confusion: 55.96% / [[174, 30, 26], [91, 46, 38], [27, 17, 71]] ------------------------------ Epoch 383 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.504807 - Iter 024 / 025, Loss: 0.543547 * Train accuracy / confusion: 88.62% / [[330, 17, 10], [23, 229, 15], [10, 16, 150]], * Val accuracy / confusion: 55.00% / [[159, 34, 37], [62, 66, 47], [14, 40, 61]] ------------------------------ Epoch 384 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.432617 - Iter 024 / 025, Loss: 0.296905 * Train accuracy / confusion: 87.50% / [[320, 32, 7], [20, 227, 14], [13, 14, 153]], * Val accuracy / confusion: 55.58% / [[153, 39, 38], [48, 69, 58], [15, 33, 67]] ------------------------------ Epoch 385 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.121293 - Iter 024 / 025, Loss: 0.287369 * Train accuracy / confusion: 88.25% / [[334, 14, 9], [35, 217, 14], [7, 15, 155]], * Val accuracy / confusion: 52.69% / [[163, 22, 45], [78, 33, 64], [24, 13, 78]] ------------------------------ Epoch 386 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.504827 - Iter 024 / 025, Loss: 0.416985 * Train accuracy / confusion: 85.62% / [[325, 23, 13], [32, 216, 17], [11, 19, 144]], * Val accuracy / confusion: 51.54% / [[109, 111, 10], [39, 116, 20], [19, 53, 43]] ------------------------------ Epoch 387 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.261413 - Iter 024 / 025, Loss: 0.416223 * Train accuracy / confusion: 88.50% / [[327, 22, 10], [30, 219, 17], [3, 10, 162]], * Val accuracy / confusion: 57.31% / [[148, 61, 21], [56, 90, 29], [19, 36, 60]] ------------------------------ Epoch 388 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.300284 - Iter 024 / 025, Loss: 0.169273 * Train accuracy / confusion: 91.38% / [[332, 16, 10], [27, 235, 6], [5, 5, 164]], * Val accuracy / confusion: 57.69% / [[167, 35, 28], [69, 63, 43], [25, 20, 70]] ------------------------------ Epoch 389 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.113372 - Iter 024 / 025, Loss: 0.346029 * Train accuracy / confusion: 89.50% / [[323, 25, 5], [28, 238, 10], [8, 8, 155]], * Val accuracy / confusion: 58.08% / [[168, 43, 19], [70, 68, 37], [24, 25, 66]] ------------------------------ Epoch 390 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.333099 - Iter 024 / 025, Loss: 0.365555 * Train accuracy / confusion: 87.75% / [[322, 27, 5], [28, 226, 16], [9, 13, 154]], * Val accuracy / confusion: 54.81% / [[149, 65, 16], [60, 91, 24], [22, 48, 45]] ------------------------------ Epoch 391 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.291720 - Iter 024 / 025, Loss: 0.675950 * Train accuracy / confusion: 89.25% / [[331, 19, 8], [32, 223, 10], [7, 10, 160]], * Val accuracy / confusion: 52.88% / [[80, 88, 62], [21, 110, 44], [7, 23, 85]] ------------------------------ Epoch 392 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.108647 - Iter 024 / 025, Loss: 0.416355 * Train accuracy / confusion: 88.12% / [[319, 28, 4], [32, 233, 4], [15, 12, 153]], * Val accuracy / confusion: 55.58% / [[158, 49, 23], [73, 67, 35], [19, 32, 64]] ------------------------------ Epoch 393 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.428936 - Iter 024 / 025, Loss: 0.448094 * Train accuracy / confusion: 88.88% / [[327, 22, 10], [25, 229, 17], [5, 10, 155]], * Val accuracy / confusion: 57.69% / [[182, 29, 19], [76, 61, 38], [36, 22, 57]] ------------------------------ Epoch 394 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.140615 - Iter 024 / 025, Loss: 0.440978 * Train accuracy / confusion: 88.25% / [[324, 18, 10], [23, 232, 16], [12, 15, 150]], * Val accuracy / confusion: 55.77% / [[148, 66, 16], [61, 86, 28], [17, 42, 56]] ------------------------------ Epoch 395 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.454853 - Iter 024 / 025, Loss: 0.250216 * Train accuracy / confusion: 88.25% / [[317, 19, 13], [26, 232, 13], [9, 14, 157]], * Val accuracy / confusion: 52.50% / [[162, 11, 57], [70, 30, 75], [23, 11, 81]] ------------------------------ Epoch 396 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.132407 - Iter 024 / 025, Loss: 0.173852 * Train accuracy / confusion: 87.75% / [[322, 31, 7], [25, 228, 11], [10, 14, 152]], * Val accuracy / confusion: 53.65% / [[141, 81, 8], [45, 105, 25], [21, 61, 33]] ------------------------------ Epoch 397 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.300416 - Iter 024 / 025, Loss: 0.206114 * Train accuracy / confusion: 89.12% / [[327, 22, 6], [22, 229, 15], [8, 14, 157]], * Val accuracy / confusion: 54.23% / [[155, 49, 26], [58, 71, 46], [24, 35, 56]] ------------------------------ Epoch 398 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.364418 - Iter 024 / 025, Loss: 0.198363 * Train accuracy / confusion: 88.62% / [[333, 18, 9], [27, 220, 18], [9, 10, 156]], * Val accuracy / confusion: 56.15% / [[171, 34, 25], [77, 54, 44], [24, 24, 67]] ------------------------------ Epoch 399 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.092469 - Iter 024 / 025, Loss: 0.082891 * Train accuracy / confusion: 91.62% / [[330, 23, 8], [18, 239, 6], [6, 6, 164]], * Val accuracy / confusion: 55.19% / [[146, 52, 32], [59, 75, 41], [16, 33, 66]] ------------------------------ Epoch 400 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.493826 - Iter 024 / 025, Loss: 0.194796 * Train accuracy / confusion: 89.25% / [[325, 20, 6], [29, 229, 14], [9, 8, 160]], * Val accuracy / confusion: 57.12% / [[175, 39, 16], [76, 62, 37], [31, 24, 60]] ------------------------------ Epoch 401 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.398242 - Iter 024 / 025, Loss: 0.231894 * Train accuracy / confusion: 90.00% / [[335, 12, 5], [23, 228, 17], [8, 15, 157]], * Val accuracy / confusion: 58.27% / [[140, 71, 19], [48, 103, 24], [13, 42, 60]] ------------------------------ Epoch 402 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.240147 - Iter 024 / 025, Loss: 0.405131 * Train accuracy / confusion: 88.25% / [[329, 20, 7], [29, 226, 15], [6, 17, 151]], * Val accuracy / confusion: 53.85% / [[148, 64, 18], [57, 83, 35], [21, 45, 49]] ------------------------------ Epoch 403 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.208291 - Iter 024 / 025, Loss: 0.323624 * Train accuracy / confusion: 89.00% / [[332, 19, 8], [23, 232, 15], [7, 16, 148]], * Val accuracy / confusion: 51.35% / [[156, 26, 48], [67, 48, 60], [16, 36, 63]] ------------------------------ Epoch 404 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.178923 - Iter 024 / 025, Loss: 0.360946 * Train accuracy / confusion: 88.62% / [[327, 23, 8], [24, 221, 18], [5, 13, 161]], * Val accuracy / confusion: 54.42% / [[186, 37, 7], [92, 53, 30], [37, 34, 44]] ------------------------------ Epoch 405 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.159428 - Iter 024 / 025, Loss: 0.325240 * Train accuracy / confusion: 89.38% / [[334, 19, 9], [23, 231, 11], [8, 15, 150]], * Val accuracy / confusion: 54.04% / [[152, 36, 42], [76, 64, 35], [23, 27, 65]] ------------------------------ Epoch 406 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.219911 - Iter 024 / 025, Loss: 0.769423 * Train accuracy / confusion: 88.12% / [[324, 23, 7], [28, 222, 18], [9, 10, 159]], * Val accuracy / confusion: 58.08% / [[151, 66, 13], [52, 96, 27], [24, 36, 55]] ------------------------------ Epoch 407 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.302884 - Iter 024 / 025, Loss: 0.134913 * Train accuracy / confusion: 89.62% / [[331, 22, 6], [23, 227, 14], [6, 12, 159]], * Val accuracy / confusion: 55.58% / [[149, 60, 21], [58, 90, 27], [20, 45, 50]] ------------------------------ Epoch 408 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.205551 - Iter 024 / 025, Loss: 0.301691 * Train accuracy / confusion: 88.12% / [[328, 20, 10], [30, 224, 13], [11, 11, 153]], * Val accuracy / confusion: 54.23% / [[174, 28, 28], [84, 57, 34], [30, 34, 51]] ------------------------------ Epoch 409 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.453849 - Iter 024 / 025, Loss: 0.249179 * Train accuracy / confusion: 89.25% / [[324, 24, 5], [25, 233, 11], [10, 11, 157]], * Val accuracy / confusion: 53.46% / [[152, 68, 10], [69, 97, 9], [27, 59, 29]] ------------------------------ Epoch 410 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.245152 - Iter 024 / 025, Loss: 0.473679 * Train accuracy / confusion: 88.12% / [[321, 20, 9], [28, 235, 12], [12, 14, 149]], * Val accuracy / confusion: 48.65% / [[112, 54, 64], [50, 56, 69], [4, 26, 85]] ------------------------------ Epoch 411 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.245516 - Iter 024 / 025, Loss: 0.295601 * Train accuracy / confusion: 89.62% / [[328, 26, 7], [23, 230, 13], [5, 9, 159]], * Val accuracy / confusion: 53.08% / [[175, 40, 15], [96, 51, 28], [31, 34, 50]] ------------------------------ Epoch 412 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.303213 - Iter 024 / 025, Loss: 0.135878 * Train accuracy / confusion: 89.00% / [[335, 19, 6], [27, 227, 14], [9, 13, 150]], * Val accuracy / confusion: 56.35% / [[136, 72, 22], [49, 102, 24], [19, 41, 55]] ------------------------------ Epoch 413 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.257677 - Iter 024 / 025, Loss: 0.492089 * Train accuracy / confusion: 91.50% / [[333, 15, 6], [20, 242, 11], [5, 11, 157]], * Val accuracy / confusion: 55.38% / [[172, 27, 31], [85, 50, 40], [25, 24, 66]] ------------------------------ Epoch 414 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.399536 - Iter 024 / 025, Loss: 0.173193 * Train accuracy / confusion: 92.12% / [[339, 14, 5], [21, 234, 7], [7, 9, 164]], * Val accuracy / confusion: 58.46% / [[168, 51, 11], [71, 80, 24], [21, 38, 56]] ------------------------------ Epoch 415 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.453683 - Iter 024 / 025, Loss: 0.659263 * Train accuracy / confusion: 89.75% / [[326, 19, 7], [25, 232, 12], [9, 10, 160]], * Val accuracy / confusion: 54.81% / [[172, 42, 16], [81, 65, 29], [23, 44, 48]] ------------------------------ Epoch 416 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.175028 - Iter 024 / 025, Loss: 0.180044 * Train accuracy / confusion: 91.12% / [[336, 12, 7], [22, 239, 9], [5, 16, 154]], * Val accuracy / confusion: 54.81% / [[153, 44, 33], [58, 66, 51], [19, 30, 66]] ------------------------------ Epoch 417 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.358334 - Iter 024 / 025, Loss: 0.300988 * Train accuracy / confusion: 89.50% / [[331, 23, 5], [20, 236, 15], [5, 16, 149]], * Val accuracy / confusion: 58.85% / [[161, 57, 12], [72, 93, 10], [22, 41, 52]] ------------------------------ Epoch 418 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.329504 - Iter 024 / 025, Loss: 0.327300 * Train accuracy / confusion: 90.00% / [[325, 24, 8], [22, 236, 10], [7, 9, 159]], * Val accuracy / confusion: 54.23% / [[126, 63, 41], [43, 83, 49], [13, 29, 73]] ------------------------------ Epoch 419 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.183622 - Iter 024 / 025, Loss: 0.269591 * Train accuracy / confusion: 89.75% / [[333, 22, 7], [23, 236, 9], [8, 13, 149]], * Val accuracy / confusion: 55.77% / [[152, 30, 48], [52, 61, 62], [12, 26, 77]] ------------------------------ Epoch 420 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.336689 - Iter 024 / 025, Loss: 0.410728 * Train accuracy / confusion: 90.38% / [[340, 12, 6], [25, 229, 10], [12, 12, 154]], * Val accuracy / confusion: 55.58% / [[169, 48, 13], [67, 86, 22], [27, 54, 34]] ------------------------------ Epoch 421 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.128504 - Iter 024 / 025, Loss: 0.473618 * Train accuracy / confusion: 90.50% / [[329, 17, 11], [19, 236, 11], [6, 12, 159]], * Val accuracy / confusion: 55.77% / [[170, 37, 23], [64, 64, 47], [36, 23, 56]] ------------------------------ Epoch 422 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.417780 - Iter 024 / 025, Loss: 0.416114 * Train accuracy / confusion: 89.50% / [[332, 24, 6], [27, 224, 10], [3, 14, 160]], * Val accuracy / confusion: 57.12% / [[161, 45, 24], [63, 82, 30], [27, 34, 54]] ------------------------------ Epoch 423 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.243390 - Iter 024 / 025, Loss: 0.196968 * Train accuracy / confusion: 89.62% / [[334, 16, 8], [29, 227, 14], [8, 8, 156]], * Val accuracy / confusion: 55.38% / [[166, 45, 19], [63, 71, 41], [23, 41, 51]] ------------------------------ Epoch 424 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.238736 - Iter 024 / 025, Loss: 0.471846 * Train accuracy / confusion: 91.12% / [[332, 21, 5], [20, 240, 9], [5, 11, 157]], * Val accuracy / confusion: 58.65% / [[158, 48, 24], [61, 85, 29], [15, 38, 62]] ------------------------------ Epoch 425 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.245860 - Iter 024 / 025, Loss: 0.327159 * Train accuracy / confusion: 90.88% / [[331, 16, 7], [27, 235, 8], [8, 7, 161]], * Val accuracy / confusion: 55.19% / [[187, 23, 20], [105, 35, 35], [30, 20, 65]] ------------------------------ Epoch 426 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.244270 - Iter 024 / 025, Loss: 0.157694 * Train accuracy / confusion: 88.62% / [[331, 20, 9], [27, 226, 14], [10, 11, 152]], * Val accuracy / confusion: 56.35% / [[182, 34, 14], [90, 58, 27], [27, 35, 53]] ------------------------------ Epoch 427 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.127589 - Iter 024 / 025, Loss: 0.257340 * Train accuracy / confusion: 93.25% / [[343, 13, 4], [15, 246, 5], [9, 8, 157]], * Val accuracy / confusion: 50.77% / [[124, 58, 48], [41, 72, 62], [14, 33, 68]] ------------------------------ Epoch 428 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.187071 - Iter 024 / 025, Loss: 0.147704 * Train accuracy / confusion: 92.00% / [[333, 17, 5], [25, 237, 5], [4, 8, 166]], * Val accuracy / confusion: 56.15% / [[189, 29, 12], [91, 50, 34], [36, 26, 53]] ------------------------------ Epoch 429 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.132437 - Iter 024 / 025, Loss: 0.335429 * Train accuracy / confusion: 90.25% / [[336, 17, 5], [25, 228, 12], [11, 8, 158]], * Val accuracy / confusion: 55.58% / [[151, 30, 49], [52, 61, 62], [13, 25, 77]] ------------------------------ Epoch 430 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.203973 - Iter 024 / 025, Loss: 0.231755 * Train accuracy / confusion: 89.25% / [[323, 23, 10], [22, 234, 13], [6, 12, 157]], * Val accuracy / confusion: 54.04% / [[123, 78, 29], [42, 96, 37], [9, 44, 62]] ------------------------------ Epoch 431 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.254174 - Iter 024 / 025, Loss: 0.143867 * Train accuracy / confusion: 90.88% / [[334, 18, 6], [20, 236, 10], [8, 11, 157]], * Val accuracy / confusion: 56.15% / [[167, 40, 23], [71, 70, 34], [24, 36, 55]] ------------------------------ Epoch 432 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.244780 - Iter 024 / 025, Loss: 0.540549 * Train accuracy / confusion: 89.38% / [[326, 21, 8], [17, 240, 14], [13, 12, 149]], * Val accuracy / confusion: 50.77% / [[107, 98, 25], [45, 106, 24], [7, 57, 51]] ------------------------------ Epoch 433 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.232903 - Iter 024 / 025, Loss: 0.176043 * Train accuracy / confusion: 91.12% / [[332, 16, 7], [19, 237, 11], [9, 9, 160]], * Val accuracy / confusion: 58.08% / [[146, 61, 23], [48, 89, 38], [13, 35, 67]] ------------------------------ Epoch 434 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.157374 - Iter 024 / 025, Loss: 0.198678 * Train accuracy / confusion: 91.12% / [[338, 12, 4], [25, 228, 16], [3, 11, 163]], * Val accuracy / confusion: 55.19% / [[160, 47, 23], [74, 60, 41], [28, 20, 67]] ------------------------------ Epoch 435 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.165229 - Iter 024 / 025, Loss: 0.172480 * Train accuracy / confusion: 89.62% / [[319, 24, 10], [20, 240, 11], [10, 8, 158]], * Val accuracy / confusion: 58.46% / [[158, 45, 27], [58, 82, 35], [16, 35, 64]] ------------------------------ Epoch 436 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.211962 - Iter 024 / 025, Loss: 0.166421 * Train accuracy / confusion: 90.75% / [[330, 18, 9], [20, 232, 13], [9, 5, 164]], * Val accuracy / confusion: 58.65% / [[178, 23, 29], [74, 49, 52], [22, 15, 78]] ------------------------------ Epoch 437 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.217009 - Iter 024 / 025, Loss: 0.254114 * Train accuracy / confusion: 91.38% / [[337, 13, 7], [26, 233, 8], [7, 8, 161]], * Val accuracy / confusion: 55.77% / [[173, 29, 28], [72, 48, 55], [21, 25, 69]] ------------------------------ Epoch 438 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.142492 - Iter 024 / 025, Loss: 0.253568 * Train accuracy / confusion: 92.38% / [[332, 20, 2], [20, 242, 6], [6, 7, 165]], * Val accuracy / confusion: 56.92% / [[160, 42, 28], [57, 82, 36], [25, 36, 54]] ------------------------------ Epoch 439 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.262996 - Iter 024 / 025, Loss: 0.106343 * Train accuracy / confusion: 91.62% / [[327, 17, 10], [11, 246, 12], [8, 9, 160]], * Val accuracy / confusion: 52.50% / [[123, 59, 48], [41, 80, 54], [19, 26, 70]] ------------------------------ Epoch 440 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.170293 - Iter 024 / 025, Loss: 0.158464 * Train accuracy / confusion: 90.88% / [[333, 18, 6], [28, 232, 10], [4, 7, 162]], * Val accuracy / confusion: 54.42% / [[159, 42, 29], [71, 69, 35], [20, 40, 55]] ------------------------------ Epoch 441 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.161990 - Iter 024 / 025, Loss: 0.165994 * Train accuracy / confusion: 92.38% / [[339, 19, 1], [17, 241, 8], [6, 10, 159]], * Val accuracy / confusion: 56.73% / [[176, 39, 15], [88, 72, 15], [31, 37, 47]] ------------------------------ Epoch 442 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.304571 - Iter 024 / 025, Loss: 0.137248 * Train accuracy / confusion: 90.00% / [[341, 14, 7], [28, 223, 12], [10, 9, 156]], * Val accuracy / confusion: 57.12% / [[171, 33, 26], [73, 63, 39], [27, 25, 63]] ------------------------------ Epoch 443 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.290221 - Iter 024 / 025, Loss: 0.152194 * Train accuracy / confusion: 92.25% / [[339, 11, 5], [18, 243, 9], [10, 9, 156]], * Val accuracy / confusion: 51.35% / [[115, 92, 23], [40, 96, 39], [18, 41, 56]] ------------------------------ Epoch 444 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.501591 - Iter 024 / 025, Loss: 0.078238 * Train accuracy / confusion: 92.12% / [[342, 13, 6], [23, 236, 6], [9, 6, 159]], * Val accuracy / confusion: 48.27% / [[136, 29, 65], [58, 34, 83], [16, 18, 81]] ------------------------------ Epoch 445 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.130555 - Iter 024 / 025, Loss: 0.489483 * Train accuracy / confusion: 91.62% / [[333, 16, 8], [16, 242, 9], [7, 11, 158]], * Val accuracy / confusion: 57.88% / [[177, 35, 18], [70, 78, 27], [36, 33, 46]] ------------------------------ Epoch 446 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.223796 - Iter 024 / 025, Loss: 0.126903 * Train accuracy / confusion: 92.62% / [[340, 11, 6], [18, 239, 7], [6, 11, 162]], * Val accuracy / confusion: 55.77% / [[140, 76, 14], [54, 100, 21], [18, 47, 50]] ------------------------------ Epoch 447 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.205291 - Iter 024 / 025, Loss: 0.115539 * Train accuracy / confusion: 93.12% / [[338, 13, 3], [13, 247, 9], [7, 10, 160]], * Val accuracy / confusion: 54.62% / [[149, 64, 17], [54, 89, 32], [26, 43, 46]] ------------------------------ Epoch 448 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.067029 - Iter 024 / 025, Loss: 0.385563 * Train accuracy / confusion: 91.75% / [[337, 12, 7], [17, 239, 13], [8, 9, 158]], * Val accuracy / confusion: 54.04% / [[166, 22, 42], [69, 42, 64], [25, 17, 73]] ------------------------------ Epoch 449 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.523325 - Iter 024 / 025, Loss: 0.107925 * Train accuracy / confusion: 92.00% / [[334, 15, 5], [22, 242, 6], [7, 9, 160]], * Val accuracy / confusion: 59.04% / [[168, 44, 18], [66, 86, 23], [30, 32, 53]] ------------------------------ Epoch 450 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.221161 - Iter 024 / 025, Loss: 0.170647 * Train accuracy / confusion: 92.12% / [[332, 16, 4], [24, 238, 6], [5, 8, 167]], * Val accuracy / confusion: 59.42% / [[170, 43, 17], [76, 82, 17], [28, 30, 57]] ------------------------------ Epoch 451 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.290204 - Iter 024 / 025, Loss: 0.311256 * Train accuracy / confusion: 90.62% / [[332, 22, 7], [18, 232, 12], [5, 11, 161]], * Val accuracy / confusion: 53.08% / [[129, 47, 54], [41, 82, 52], [12, 38, 65]] ------------------------------ Epoch 452 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.333532 - Iter 024 / 025, Loss: 0.154842 * Train accuracy / confusion: 91.00% / [[324, 17, 10], [19, 243, 9], [10, 7, 161]], * Val accuracy / confusion: 54.23% / [[162, 41, 27], [83, 64, 28], [29, 30, 56]] ------------------------------ Epoch 453 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.161862 - Iter 024 / 025, Loss: 0.248670 * Train accuracy / confusion: 92.50% / [[335, 18, 4], [18, 240, 7], [5, 8, 165]], * Val accuracy / confusion: 53.08% / [[133, 54, 43], [56, 79, 40], [22, 29, 64]] ------------------------------ Epoch 454 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.279091 - Iter 024 / 025, Loss: 0.146983 * Train accuracy / confusion: 89.75% / [[326, 18, 9], [26, 231, 10], [4, 15, 161]], * Val accuracy / confusion: 56.92% / [[155, 51, 24], [67, 92, 16], [29, 37, 49]] ------------------------------ Epoch 455 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.308488 - Iter 024 / 025, Loss: 0.109739 * Train accuracy / confusion: 91.62% / [[333, 15, 9], [15, 241, 10], [7, 11, 159]], * Val accuracy / confusion: 50.96% / [[161, 51, 18], [80, 69, 26], [26, 54, 35]] ------------------------------ Epoch 456 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.165262 - Iter 024 / 025, Loss: 0.266113 * Train accuracy / confusion: 90.62% / [[336, 17, 9], [19, 234, 9], [8, 13, 155]], * Val accuracy / confusion: 52.88% / [[125, 62, 43], [49, 93, 33], [21, 37, 57]] ------------------------------ Epoch 457 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.455052 - Iter 024 / 025, Loss: 0.679576 * Train accuracy / confusion: 91.12% / [[336, 14, 5], [25, 230, 12], [4, 11, 163]], * Val accuracy / confusion: 54.42% / [[169, 34, 27], [90, 51, 34], [28, 24, 63]] ------------------------------ Epoch 458 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.247734 - Iter 024 / 025, Loss: 0.237128 * Train accuracy / confusion: 90.00% / [[334, 15, 7], [23, 234, 10], [10, 15, 152]], * Val accuracy / confusion: 55.96% / [[147, 53, 30], [59, 88, 28], [22, 37, 56]] ------------------------------ Epoch 459 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.166351 - Iter 024 / 025, Loss: 0.199288 * Train accuracy / confusion: 92.88% / [[338, 8, 5], [23, 237, 10], [4, 7, 168]], * Val accuracy / confusion: 56.92% / [[168, 19, 43], [69, 59, 47], [21, 25, 69]] ------------------------------ Epoch 460 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.089122 - Iter 024 / 025, Loss: 0.289407 * Train accuracy / confusion: 91.88% / [[331, 19, 6], [18, 246, 7], [5, 10, 158]], * Val accuracy / confusion: 58.27% / [[167, 40, 23], [69, 76, 30], [29, 26, 60]] ------------------------------ Epoch 461 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.131605 - Iter 024 / 025, Loss: 0.167255 * Train accuracy / confusion: 92.38% / [[328, 12, 10], [21, 247, 5], [6, 7, 164]], * Val accuracy / confusion: 58.08% / [[145, 50, 35], [44, 95, 36], [19, 34, 62]] ------------------------------ Epoch 462 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.275126 - Iter 024 / 025, Loss: 0.178774 * Train accuracy / confusion: 93.12% / [[345, 9, 3], [21, 240, 9], [4, 9, 160]], * Val accuracy / confusion: 51.92% / [[137, 50, 43], [67, 73, 35], [18, 37, 60]] ------------------------------ Epoch 463 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.287358 - Iter 024 / 025, Loss: 0.496979 * Train accuracy / confusion: 92.38% / [[326, 17, 11], [16, 241, 8], [6, 3, 172]], * Val accuracy / confusion: 55.00% / [[153, 47, 30], [60, 66, 49], [17, 31, 67]] ------------------------------ Epoch 464 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.468344 - Iter 024 / 025, Loss: 0.141663 * Train accuracy / confusion: 91.00% / [[336, 21, 3], [23, 238, 6], [13, 6, 154]], * Val accuracy / confusion: 58.08% / [[172, 30, 28], [65, 78, 32], [20, 43, 52]] ------------------------------ Epoch 465 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.158549 - Iter 024 / 025, Loss: 0.079824 * Train accuracy / confusion: 91.50% / [[337, 13, 4], [24, 236, 10], [7, 10, 159]], * Val accuracy / confusion: 55.58% / [[181, 33, 16], [91, 51, 33], [34, 24, 57]] ------------------------------ Epoch 466 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.304401 - Iter 024 / 025, Loss: 0.256223 * Train accuracy / confusion: 91.62% / [[330, 18, 7], [20, 237, 7], [4, 11, 166]], * Val accuracy / confusion: 53.46% / [[150, 35, 45], [60, 54, 61], [19, 22, 74]] ------------------------------ Epoch 467 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.202031 - Iter 024 / 025, Loss: 0.168651 * Train accuracy / confusion: 92.75% / [[339, 8, 8], [21, 242, 7], [7, 7, 161]], * Val accuracy / confusion: 54.04% / [[154, 68, 8], [69, 95, 11], [30, 53, 32]] ------------------------------ Epoch 468 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.183443 - Iter 024 / 025, Loss: 0.214803 * Train accuracy / confusion: 92.12% / [[341, 11, 6], [14, 229, 18], [4, 10, 167]], * Val accuracy / confusion: 50.77% / [[141, 45, 44], [60, 60, 55], [22, 30, 63]] ------------------------------ Epoch 469 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.157029 - Iter 024 / 025, Loss: 0.171861 * Train accuracy / confusion: 91.25% / [[333, 12, 9], [23, 235, 10], [6, 10, 162]], * Val accuracy / confusion: 50.96% / [[134, 52, 44], [63, 75, 37], [22, 37, 56]] ------------------------------ Epoch 470 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.141536 - Iter 024 / 025, Loss: 0.110703 * Train accuracy / confusion: 92.25% / [[335, 16, 3], [24, 240, 7], [5, 7, 163]], * Val accuracy / confusion: 53.08% / [[163, 31, 36], [75, 55, 45], [26, 31, 58]] ------------------------------ Epoch 471 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.338196 - Iter 024 / 025, Loss: 0.278243 * Train accuracy / confusion: 93.50% / [[343, 10, 4], [23, 238, 5], [3, 7, 167]], * Val accuracy / confusion: 56.54% / [[180, 20, 30], [91, 56, 28], [35, 22, 58]] ------------------------------ Epoch 472 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.294444 - Iter 024 / 025, Loss: 0.242981 * Train accuracy / confusion: 91.12% / [[333, 16, 11], [13, 241, 9], [12, 10, 155]], * Val accuracy / confusion: 45.00% / [[88, 59, 83], [46, 71, 58], [8, 32, 75]] ------------------------------ Epoch 473 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.072693 - Iter 024 / 025, Loss: 0.285309 * Train accuracy / confusion: 92.38% / [[335, 13, 10], [19, 238, 10], [5, 4, 166]], * Val accuracy / confusion: 55.38% / [[139, 61, 30], [63, 86, 26], [21, 31, 63]] ------------------------------ Epoch 474 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.233284 - Iter 024 / 025, Loss: 0.071142 * Train accuracy / confusion: 92.00% / [[334, 17, 5], [18, 240, 10], [6, 8, 162]], * Val accuracy / confusion: 53.85% / [[130, 48, 52], [55, 85, 35], [15, 35, 65]] ------------------------------ Epoch 475 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.153165 - Iter 024 / 025, Loss: 0.102921 * Train accuracy / confusion: 92.12% / [[339, 13, 3], [23, 239, 8], [6, 10, 159]], * Val accuracy / confusion: 53.65% / [[147, 66, 17], [68, 80, 27], [27, 36, 52]] ------------------------------ Epoch 476 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.121756 - Iter 024 / 025, Loss: 0.127457 * Train accuracy / confusion: 92.75% / [[337, 16, 5], [17, 245, 6], [5, 9, 160]], * Val accuracy / confusion: 53.46% / [[147, 66, 17], [68, 78, 29], [22, 40, 53]] ------------------------------ Epoch 477 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.269475 - Iter 024 / 025, Loss: 0.273670 * Train accuracy / confusion: 93.00% / [[344, 7, 4], [18, 235, 14], [6, 7, 165]], * Val accuracy / confusion: 59.42% / [[184, 29, 17], [88, 69, 18], [40, 19, 56]] ------------------------------ Epoch 478 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.233031 - Iter 024 / 025, Loss: 0.183692 * Train accuracy / confusion: 91.12% / [[334, 13, 11], [18, 246, 8], [8, 13, 149]], * Val accuracy / confusion: 52.50% / [[111, 80, 39], [44, 89, 42], [18, 24, 73]] ------------------------------ Epoch 479 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.161853 - Iter 024 / 025, Loss: 0.340759 * Train accuracy / confusion: 91.75% / [[336, 16, 6], [22, 236, 8], [9, 5, 162]], * Val accuracy / confusion: 57.12% / [[178, 32, 20], [76, 69, 30], [40, 25, 50]] ------------------------------ Epoch 480 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.129177 - Iter 024 / 025, Loss: 0.067640 * Train accuracy / confusion: 92.62% / [[332, 18, 3], [21, 243, 7], [4, 6, 166]], * Val accuracy / confusion: 55.58% / [[169, 34, 27], [78, 67, 30], [28, 34, 53]] ------------------------------ Epoch 481 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.289354 - Iter 024 / 025, Loss: 0.488603 * Train accuracy / confusion: 93.50% / [[343, 10, 3], [16, 243, 9], [3, 11, 162]], * Val accuracy / confusion: 55.58% / [[151, 40, 39], [68, 63, 44], [20, 20, 75]] ------------------------------ Epoch 482 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.180276 - Iter 024 / 025, Loss: 0.314723 * Train accuracy / confusion: 94.12% / [[352, 5, 6], [21, 239, 5], [3, 7, 162]], * Val accuracy / confusion: 52.88% / [[166, 30, 34], [91, 41, 43], [30, 17, 68]] ------------------------------ Epoch 483 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.272114 - Iter 024 / 025, Loss: 0.096213 * Train accuracy / confusion: 92.88% / [[339, 14, 5], [21, 236, 6], [5, 6, 168]], * Val accuracy / confusion: 55.96% / [[156, 53, 21], [68, 75, 32], [26, 29, 60]] ------------------------------ Epoch 484 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.260641 - Iter 024 / 025, Loss: 0.255971 * Train accuracy / confusion: 92.88% / [[343, 10, 3], [16, 236, 13], [7, 8, 164]], * Val accuracy / confusion: 54.42% / [[140, 57, 33], [57, 86, 32], [25, 33, 57]] ------------------------------ Epoch 485 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.079896 - Iter 024 / 025, Loss: 0.319001 * Train accuracy / confusion: 93.00% / [[331, 19, 5], [15, 246, 5], [4, 8, 167]], * Val accuracy / confusion: 52.12% / [[127, 70, 33], [56, 92, 27], [20, 43, 52]] ------------------------------ Epoch 486 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.208620 - Iter 024 / 025, Loss: 0.252630 * Train accuracy / confusion: 92.88% / [[336, 14, 3], [24, 241, 6], [8, 2, 166]], * Val accuracy / confusion: 53.85% / [[184, 12, 34], [97, 36, 42], [38, 17, 60]] ------------------------------ Epoch 487 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.205309 - Iter 024 / 025, Loss: 0.272802 * Train accuracy / confusion: 92.75% / [[335, 15, 3], [22, 241, 4], [4, 10, 166]], * Val accuracy / confusion: 56.15% / [[175, 30, 25], [84, 65, 26], [26, 37, 52]] ------------------------------ Epoch 488 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.090925 - Iter 024 / 025, Loss: 0.038097 * Train accuracy / confusion: 93.62% / [[341, 12, 3], [17, 246, 6], [4, 9, 162]], * Val accuracy / confusion: 53.27% / [[151, 47, 32], [73, 62, 40], [25, 26, 64]] ------------------------------ Epoch 489 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.140524 - Iter 024 / 025, Loss: 0.223681 * Train accuracy / confusion: 93.12% / [[334, 13, 7], [19, 247, 2], [7, 7, 164]], * Val accuracy / confusion: 52.88% / [[166, 40, 24], [94, 43, 38], [27, 22, 66]] ------------------------------ Epoch 490 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.199332 - Iter 024 / 025, Loss: 0.407528 * Train accuracy / confusion: 91.38% / [[333, 17, 8], [21, 235, 7], [10, 6, 163]], * Val accuracy / confusion: 54.23% / [[162, 47, 21], [69, 67, 39], [27, 35, 53]] ------------------------------ Epoch 491 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.287183 - Iter 024 / 025, Loss: 0.229472 * Train accuracy / confusion: 90.38% / [[333, 21, 6], [18, 240, 10], [13, 9, 150]], * Val accuracy / confusion: 49.81% / [[126, 59, 45], [47, 67, 61], [18, 31, 66]] ------------------------------ Epoch 492 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.239031 - Iter 024 / 025, Loss: 0.432020 * Train accuracy / confusion: 90.38% / [[323, 25, 7], [21, 241, 6], [7, 11, 159]], * Val accuracy / confusion: 55.19% / [[139, 74, 17], [53, 96, 26], [18, 45, 52]] ------------------------------ Epoch 493 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.222119 - Iter 024 / 025, Loss: 0.221878 * Train accuracy / confusion: 94.38% / [[343, 10, 4], [11, 246, 8], [9, 3, 166]], * Val accuracy / confusion: 51.92% / [[157, 33, 40], [69, 51, 55], [30, 23, 62]] ------------------------------ Epoch 494 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.099241 - Iter 024 / 025, Loss: 0.359977 * Train accuracy / confusion: 93.25% / [[343, 12, 3], [22, 238, 8], [1, 8, 165]], * Val accuracy / confusion: 53.85% / [[145, 43, 42], [58, 55, 62], [20, 15, 80]] ------------------------------ Epoch 495 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.119400 - Iter 024 / 025, Loss: 0.090440 * Train accuracy / confusion: 94.50% / [[346, 9, 3], [11, 247, 9], [6, 6, 163]], * Val accuracy / confusion: 56.73% / [[156, 42, 32], [64, 74, 37], [21, 29, 65]] ------------------------------ Epoch 496 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.230699 - Iter 024 / 025, Loss: 0.073869 * Train accuracy / confusion: 93.88% / [[344, 17, 1], [15, 242, 6], [2, 8, 165]], * Val accuracy / confusion: 55.00% / [[139, 66, 25], [54, 93, 28], [15, 46, 54]] ------------------------------ Epoch 497 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.181906 - Iter 024 / 025, Loss: 0.308779 * Train accuracy / confusion: 92.38% / [[341, 10, 6], [24, 235, 7], [6, 8, 163]], * Val accuracy / confusion: 54.04% / [[161, 30, 39], [85, 48, 42], [29, 14, 72]] ------------------------------ Epoch 498 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.260465 - Iter 024 / 025, Loss: 0.145222 * Train accuracy / confusion: 93.00% / [[335, 11, 6], [17, 243, 10], [9, 3, 166]], * Val accuracy / confusion: 56.15% / [[141, 48, 41], [53, 86, 36], [18, 32, 65]] ------------------------------ Epoch 499 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.462453 - Iter 024 / 025, Loss: 0.082865 * Train accuracy / confusion: 93.12% / [[336, 11, 9], [16, 248, 6], [5, 8, 161]], * Val accuracy / confusion: 52.69% / [[122, 84, 24], [46, 103, 26], [13, 53, 49]] ------------------------------ Epoch 500 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.131531 - Iter 024 / 025, Loss: 0.410171 * Train accuracy / confusion: 94.00% / [[347, 9, 2], [15, 246, 7], [7, 8, 159]], * Val accuracy / confusion: 54.62% / [[186, 21, 23], [96, 46, 33], [38, 25, 52]] ------------------------------ Epoch 501 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.150730 - Iter 024 / 025, Loss: 0.166993 * Train accuracy / confusion: 93.25% / [[331, 17, 6], [15, 252, 4], [7, 5, 163]], * Val accuracy / confusion: 51.73% / [[116, 49, 65], [44, 83, 48], [14, 31, 70]] ------------------------------ Epoch 502 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.297939 - Iter 024 / 025, Loss: 0.213055 * Train accuracy / confusion: 94.38% / [[340, 14, 0], [19, 244, 6], [4, 2, 171]], * Val accuracy / confusion: 53.46% / [[178, 23, 29], [99, 46, 30], [36, 25, 54]] ------------------------------ Epoch 503 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.143767 - Iter 024 / 025, Loss: 0.092220 * Train accuracy / confusion: 94.25% / [[347, 9, 1], [18, 244, 4], [5, 9, 163]], * Val accuracy / confusion: 53.65% / [[132, 58, 40], [43, 91, 41], [20, 39, 56]] ------------------------------ Epoch 504 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.076806 - Iter 024 / 025, Loss: 0.058836 * Train accuracy / confusion: 93.75% / [[337, 10, 7], [18, 240, 8], [4, 3, 173]], * Val accuracy / confusion: 57.12% / [[169, 35, 26], [71, 64, 40], [25, 26, 64]] ------------------------------ Epoch 505 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.079771 - Iter 024 / 025, Loss: 0.452897 * Train accuracy / confusion: 93.12% / [[339, 13, 8], [15, 245, 8], [6, 5, 161]], * Val accuracy / confusion: 51.92% / [[160, 24, 46], [65, 44, 66], [21, 28, 66]] ------------------------------ Epoch 506 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.166771 - Iter 024 / 025, Loss: 0.447133 * Train accuracy / confusion: 92.62% / [[333, 15, 5], [12, 255, 4], [14, 9, 153]], * Val accuracy / confusion: 52.88% / [[142, 72, 16], [66, 85, 24], [28, 39, 48]] ------------------------------ Epoch 507 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.109809 - Iter 024 / 025, Loss: 0.171793 * Train accuracy / confusion: 94.12% / [[343, 9, 4], [16, 242, 11], [4, 3, 168]], * Val accuracy / confusion: 55.19% / [[158, 43, 29], [64, 71, 40], [22, 35, 58]] ------------------------------ Epoch 508 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.302427 - Iter 024 / 025, Loss: 0.202351 * Train accuracy / confusion: 94.00% / [[342, 12, 4], [15, 247, 8], [2, 7, 163]], * Val accuracy / confusion: 55.96% / [[157, 39, 34], [67, 74, 34], [26, 29, 60]] ------------------------------ Epoch 509 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.234155 - Iter 024 / 025, Loss: 0.150093 * Train accuracy / confusion: 94.25% / [[346, 9, 3], [16, 248, 4], [8, 6, 160]], * Val accuracy / confusion: 55.38% / [[145, 40, 45], [52, 65, 58], [24, 13, 78]] ------------------------------ Epoch 510 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.185956 - Iter 024 / 025, Loss: 0.268001 * Train accuracy / confusion: 93.75% / [[341, 10, 7], [13, 248, 5], [7, 8, 161]], * Val accuracy / confusion: 51.15% / [[149, 49, 32], [75, 63, 37], [28, 33, 54]] ------------------------------ Epoch 511 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.155263 - Iter 024 / 025, Loss: 0.379620 * Train accuracy / confusion: 93.62% / [[351, 6, 4], [18, 236, 9], [10, 4, 162]], * Val accuracy / confusion: 53.08% / [[158, 37, 35], [88, 56, 31], [27, 26, 62]] ------------------------------ Epoch 512 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.238485 - Iter 024 / 025, Loss: 0.196134 * Train accuracy / confusion: 94.25% / [[341, 9, 4], [16, 243, 8], [3, 6, 170]], * Val accuracy / confusion: 51.92% / [[111, 75, 44], [44, 102, 29], [14, 44, 57]] ------------------------------ Epoch 513 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.101876 - Iter 024 / 025, Loss: 0.121022 * Train accuracy / confusion: 93.88% / [[341, 7, 5], [13, 250, 7], [8, 9, 160]], * Val accuracy / confusion: 57.31% / [[168, 30, 32], [86, 54, 35], [22, 17, 76]] ------------------------------ Epoch 514 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.071669 - Iter 024 / 025, Loss: 0.091909 * Train accuracy / confusion: 95.62% / [[344, 8, 3], [12, 255, 3], [4, 5, 166]], * Val accuracy / confusion: 53.46% / [[156, 27, 47], [77, 59, 39], [27, 25, 63]] ------------------------------ Epoch 515 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.183643 - Iter 024 / 025, Loss: 0.164149 * Train accuracy / confusion: 93.75% / [[343, 10, 3], [14, 245, 11], [6, 6, 162]], * Val accuracy / confusion: 57.69% / [[184, 29, 17], [84, 74, 17], [30, 43, 42]] ------------------------------ Epoch 516 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.195176 - Iter 024 / 025, Loss: 0.074996 * Train accuracy / confusion: 92.88% / [[339, 9, 9], [24, 236, 7], [3, 5, 168]], * Val accuracy / confusion: 54.23% / [[145, 42, 43], [47, 69, 59], [11, 36, 68]] ------------------------------ Epoch 517 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.531377 - Iter 024 / 025, Loss: 0.159854 * Train accuracy / confusion: 93.00% / [[335, 14, 6], [16, 248, 7], [5, 8, 161]], * Val accuracy / confusion: 55.00% / [[171, 23, 36], [85, 51, 39], [30, 21, 64]] ------------------------------ Epoch 518 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.173631 - Iter 024 / 025, Loss: 0.223611 * Train accuracy / confusion: 93.75% / [[341, 12, 4], [17, 240, 7], [5, 5, 169]], * Val accuracy / confusion: 53.65% / [[149, 46, 35], [68, 66, 41], [22, 29, 64]] ------------------------------ Epoch 519 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.294171 - Iter 024 / 025, Loss: 0.128090 * Train accuracy / confusion: 91.88% / [[333, 16, 5], [18, 248, 7], [9, 10, 154]], * Val accuracy / confusion: 51.73% / [[137, 52, 41], [62, 71, 42], [15, 39, 61]] ------------------------------ Epoch 520 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.142796 - Iter 024 / 025, Loss: 0.149931 * Train accuracy / confusion: 94.62% / [[348, 9, 5], [17, 246, 3], [6, 3, 163]], * Val accuracy / confusion: 55.96% / [[166, 36, 28], [76, 63, 36], [19, 34, 62]] ------------------------------ Epoch 521 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.129822 - Iter 024 / 025, Loss: 0.112880 * Train accuracy / confusion: 93.00% / [[341, 10, 8], [19, 236, 8], [7, 4, 167]], * Val accuracy / confusion: 55.96% / [[159, 38, 33], [80, 69, 26], [29, 23, 63]] ------------------------------ Epoch 522 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.050316 - Iter 024 / 025, Loss: 0.046649 * Train accuracy / confusion: 94.50% / [[348, 5, 6], [17, 245, 4], [5, 7, 163]], * Val accuracy / confusion: 54.62% / [[164, 44, 22], [74, 66, 35], [32, 29, 54]] ------------------------------ Epoch 523 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.162399 - Iter 024 / 025, Loss: 0.106012 * Train accuracy / confusion: 93.12% / [[342, 10, 4], [14, 241, 13], [4, 10, 162]], * Val accuracy / confusion: 54.42% / [[157, 32, 41], [75, 70, 30], [30, 29, 56]] ------------------------------ Epoch 524 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.186989 - Iter 024 / 025, Loss: 0.184141 * Train accuracy / confusion: 94.38% / [[342, 10, 2], [17, 247, 7], [4, 5, 166]], * Val accuracy / confusion: 53.46% / [[148, 55, 27], [65, 77, 33], [24, 38, 53]] ------------------------------ Epoch 525 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.178540 - Iter 024 / 025, Loss: 0.054686 * Train accuracy / confusion: 94.00% / [[338, 18, 3], [15, 246, 3], [4, 5, 168]], * Val accuracy / confusion: 56.15% / [[159, 54, 17], [75, 81, 19], [19, 44, 52]] ------------------------------ Epoch 526 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.110470 - Iter 024 / 025, Loss: 0.300190 * Train accuracy / confusion: 93.12% / [[347, 7, 1], [21, 235, 10], [7, 9, 163]], * Val accuracy / confusion: 57.88% / [[142, 44, 44], [48, 81, 46], [8, 29, 78]] ------------------------------ Epoch 527 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.184235 - Iter 024 / 025, Loss: 0.185234 * Train accuracy / confusion: 95.00% / [[346, 9, 4], [9, 254, 5], [6, 7, 160]], * Val accuracy / confusion: 56.35% / [[167, 41, 22], [76, 64, 35], [28, 25, 62]] ------------------------------ Epoch 528 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.126233 - Iter 024 / 025, Loss: 0.247189 * Train accuracy / confusion: 94.62% / [[335, 14, 7], [12, 249, 5], [0, 5, 173]], * Val accuracy / confusion: 54.62% / [[134, 67, 29], [57, 93, 25], [20, 38, 57]] ------------------------------ Epoch 529 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.184980 - Iter 024 / 025, Loss: 0.366536 * Train accuracy / confusion: 94.75% / [[344, 9, 1], [17, 247, 7], [5, 3, 167]], * Val accuracy / confusion: 54.62% / [[178, 16, 36], [87, 36, 52], [29, 16, 70]] ------------------------------ Epoch 530 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.074183 - Iter 024 / 025, Loss: 0.168290 * Train accuracy / confusion: 95.38% / [[343, 9, 1], [13, 255, 5], [4, 5, 165]], * Val accuracy / confusion: 54.62% / [[144, 33, 53], [56, 65, 54], [13, 27, 75]] ------------------------------ Epoch 531 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.081343 - Iter 024 / 025, Loss: 0.158232 * Train accuracy / confusion: 92.50% / [[334, 15, 7], [21, 241, 6], [7, 4, 165]], * Val accuracy / confusion: 55.77% / [[150, 41, 39], [74, 76, 25], [23, 28, 64]] ------------------------------ Epoch 532 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.252894 - Iter 024 / 025, Loss: 0.167066 * Train accuracy / confusion: 95.25% / [[347, 5, 4], [19, 246, 2], [4, 4, 169]], * Val accuracy / confusion: 59.04% / [[166, 31, 33], [73, 78, 24], [27, 25, 63]] ------------------------------ Epoch 533 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.256466 - Iter 024 / 025, Loss: 0.174351 * Train accuracy / confusion: 93.75% / [[339, 12, 3], [9, 250, 6], [14, 6, 161]], * Val accuracy / confusion: 54.04% / [[123, 68, 39], [52, 91, 32], [18, 30, 67]] ------------------------------ Epoch 534 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.036423 - Iter 024 / 025, Loss: 0.180317 * Train accuracy / confusion: 94.12% / [[341, 8, 6], [15, 240, 11], [4, 3, 172]], * Val accuracy / confusion: 54.23% / [[161, 48, 21], [74, 66, 35], [24, 36, 55]] ------------------------------ Epoch 535 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.071366 - Iter 024 / 025, Loss: 0.171899 * Train accuracy / confusion: 95.00% / [[346, 8, 3], [11, 248, 6], [4, 8, 166]], * Val accuracy / confusion: 53.08% / [[174, 33, 23], [96, 44, 35], [32, 25, 58]] ------------------------------ Epoch 536 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.078666 - Iter 024 / 025, Loss: 0.303083 * Train accuracy / confusion: 94.75% / [[341, 7, 7], [8, 251, 10], [6, 4, 166]], * Val accuracy / confusion: 55.00% / [[175, 38, 17], [89, 71, 15], [38, 37, 40]] ------------------------------ Epoch 537 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.034394 - Iter 024 / 025, Loss: 0.298781 * Train accuracy / confusion: 92.12% / [[330, 18, 4], [21, 244, 6], [5, 9, 163]], * Val accuracy / confusion: 54.62% / [[169, 17, 44], [75, 44, 56], [28, 16, 71]] ------------------------------ Epoch 538 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.264543 - Iter 024 / 025, Loss: 0.143087 * Train accuracy / confusion: 95.12% / [[343, 7, 5], [13, 250, 7], [5, 2, 168]], * Val accuracy / confusion: 56.15% / [[159, 51, 20], [71, 80, 24], [26, 36, 53]] ------------------------------ Epoch 539 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.213183 - Iter 024 / 025, Loss: 0.194530 * Train accuracy / confusion: 94.12% / [[347, 8, 3], [16, 240, 11], [4, 5, 166]], * Val accuracy / confusion: 51.73% / [[137, 31, 62], [52, 60, 63], [17, 26, 72]] ------------------------------ Epoch 540 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.071426 - Iter 024 / 025, Loss: 0.193900 * Train accuracy / confusion: 95.25% / [[343, 10, 6], [12, 255, 3], [4, 3, 164]], * Val accuracy / confusion: 54.81% / [[155, 44, 31], [76, 71, 28], [29, 27, 59]] ------------------------------ Epoch 541 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.078590 - Iter 024 / 025, Loss: 0.048952 * Train accuracy / confusion: 94.75% / [[348, 8, 5], [11, 247, 7], [4, 7, 163]], * Val accuracy / confusion: 55.77% / [[167, 36, 27], [81, 69, 25], [29, 32, 54]] ------------------------------ Epoch 542 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.064220 - Iter 024 / 025, Loss: 0.070091 * Train accuracy / confusion: 95.75% / [[346, 7, 2], [10, 250, 5], [3, 7, 170]], * Val accuracy / confusion: 54.42% / [[131, 62, 37], [53, 91, 31], [14, 40, 61]] ------------------------------ Epoch 543 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.209059 - Iter 024 / 025, Loss: 0.287117 * Train accuracy / confusion: 94.75% / [[340, 10, 5], [12, 253, 5], [5, 5, 165]], * Val accuracy / confusion: 59.04% / [[181, 29, 20], [83, 69, 23], [30, 28, 57]] ------------------------------ Epoch 544 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.052138 - Iter 024 / 025, Loss: 0.148102 * Train accuracy / confusion: 93.38% / [[339, 11, 8], [12, 243, 10], [5, 7, 165]], * Val accuracy / confusion: 54.62% / [[156, 34, 40], [67, 63, 45], [20, 30, 65]] ------------------------------ Epoch 545 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.267116 - Iter 024 / 025, Loss: 0.207787 * Train accuracy / confusion: 93.25% / [[342, 14, 2], [16, 241, 9], [8, 5, 163]], * Val accuracy / confusion: 54.42% / [[150, 44, 36], [66, 71, 38], [21, 32, 62]] ------------------------------ Epoch 546 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.160647 - Iter 024 / 025, Loss: 0.223888 * Train accuracy / confusion: 94.88% / [[345, 9, 4], [15, 245, 6], [2, 5, 169]], * Val accuracy / confusion: 53.85% / [[166, 43, 21], [90, 66, 19], [22, 45, 48]] ------------------------------ Epoch 547 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.191316 - Iter 024 / 025, Loss: 0.264599 * Train accuracy / confusion: 94.38% / [[341, 13, 5], [14, 243, 5], [4, 4, 171]], * Val accuracy / confusion: 51.73% / [[166, 21, 43], [95, 38, 42], [27, 23, 65]] ------------------------------ Epoch 548 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.121726 - Iter 024 / 025, Loss: 0.090374 * Train accuracy / confusion: 93.75% / [[345, 7, 5], [17, 240, 8], [8, 5, 165]], * Val accuracy / confusion: 47.12% / [[105, 102, 23], [52, 91, 32], [14, 52, 49]] ------------------------------ Epoch 549 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.196792 - Iter 024 / 025, Loss: 0.131948 * Train accuracy / confusion: 93.00% / [[340, 12, 1], [23, 237, 10], [5, 5, 167]], * Val accuracy / confusion: 55.58% / [[141, 66, 23], [60, 99, 16], [16, 50, 49]] ------------------------------ Epoch 550 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.224537 - Iter 024 / 025, Loss: 0.126156 * Train accuracy / confusion: 94.25% / [[341, 9, 5], [15, 248, 5], [4, 8, 165]], * Val accuracy / confusion: 56.54% / [[159, 51, 20], [67, 88, 20], [27, 41, 47]] ------------------------------ Epoch 551 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.262603 - Iter 024 / 025, Loss: 0.058902 * Train accuracy / confusion: 93.75% / [[342, 8, 4], [15, 244, 11], [9, 3, 164]], * Val accuracy / confusion: 51.35% / [[144, 52, 34], [61, 58, 56], [23, 27, 65]] ------------------------------ Epoch 552 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.319673 - Iter 024 / 025, Loss: 0.206459 * Train accuracy / confusion: 94.50% / [[336, 14, 5], [10, 253, 6], [6, 3, 167]], * Val accuracy / confusion: 57.12% / [[149, 48, 33], [62, 86, 27], [19, 34, 62]] ------------------------------ Epoch 553 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.151006 - Iter 024 / 025, Loss: 0.078163 * Train accuracy / confusion: 94.12% / [[343, 10, 2], [15, 242, 8], [6, 6, 168]], * Val accuracy / confusion: 56.35% / [[164, 47, 19], [74, 73, 28], [27, 32, 56]] ------------------------------ Epoch 554 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.201597 - Iter 024 / 025, Loss: 0.192421 * Train accuracy / confusion: 94.88% / [[340, 8, 4], [14, 251, 4], [6, 5, 168]], * Val accuracy / confusion: 53.46% / [[134, 73, 23], [62, 91, 22], [19, 43, 53]] ------------------------------ Epoch 555 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.088023 - Iter 024 / 025, Loss: 0.062124 * Train accuracy / confusion: 96.50% / [[349, 9, 3], [7, 254, 2], [5, 2, 169]], * Val accuracy / confusion: 53.85% / [[138, 52, 40], [45, 77, 53], [19, 31, 65]] ------------------------------ Epoch 556 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.154123 - Iter 024 / 025, Loss: 0.168367 * Train accuracy / confusion: 93.88% / [[333, 15, 10], [15, 248, 4], [2, 3, 170]], * Val accuracy / confusion: 50.77% / [[138, 42, 50], [63, 60, 52], [18, 31, 66]] ------------------------------ Epoch 557 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.124278 - Iter 024 / 025, Loss: 0.117716 * Train accuracy / confusion: 94.75% / [[351, 6, 2], [13, 247, 6], [10, 5, 160]], * Val accuracy / confusion: 52.88% / [[167, 28, 35], [101, 48, 26], [26, 29, 60]] ------------------------------ Epoch 558 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.154245 - Iter 024 / 025, Loss: 0.174650 * Train accuracy / confusion: 93.88% / [[337, 13, 4], [17, 247, 5], [4, 6, 167]], * Val accuracy / confusion: 55.38% / [[160, 22, 48], [81, 52, 42], [23, 16, 76]] ------------------------------ Epoch 559 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.221487 - Iter 024 / 025, Loss: 0.062642 * Train accuracy / confusion: 94.38% / [[347, 12, 1], [13, 245, 8], [3, 8, 163]], * Val accuracy / confusion: 56.35% / [[141, 49, 40], [55, 84, 36], [14, 33, 68]] ------------------------------ Epoch 560 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.198217 - Iter 024 / 025, Loss: 0.019624 * Train accuracy / confusion: 95.50% / [[345, 7, 2], [15, 251, 7], [2, 3, 168]], * Val accuracy / confusion: 55.96% / [[146, 49, 35], [57, 90, 28], [22, 38, 55]] ------------------------------ Epoch 561 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.575603 - Iter 024 / 025, Loss: 0.114948 * Train accuracy / confusion: 94.50% / [[340, 11, 2], [10, 250, 11], [3, 7, 166]], * Val accuracy / confusion: 57.88% / [[154, 40, 36], [59, 77, 39], [16, 29, 70]] ------------------------------ Epoch 562 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.384956 - Iter 024 / 025, Loss: 0.088045 * Train accuracy / confusion: 94.88% / [[345, 5, 3], [13, 250, 5], [8, 7, 164]], * Val accuracy / confusion: 57.12% / [[147, 64, 19], [49, 100, 26], [21, 44, 50]] ------------------------------ Epoch 563 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.288770 - Iter 024 / 025, Loss: 0.040683 * Train accuracy / confusion: 94.62% / [[350, 7, 2], [13, 242, 8], [3, 10, 165]], * Val accuracy / confusion: 53.85% / [[151, 70, 9], [64, 84, 27], [27, 43, 45]] ------------------------------ Epoch 564 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.023705 - Iter 024 / 025, Loss: 0.146876 * Train accuracy / confusion: 94.00% / [[337, 9, 9], [17, 247, 5], [2, 6, 168]], * Val accuracy / confusion: 53.85% / [[152, 32, 46], [63, 57, 55], [17, 27, 71]] ------------------------------ Epoch 565 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.279037 - Iter 024 / 025, Loss: 0.169549 * Train accuracy / confusion: 93.50% / [[333, 20, 5], [13, 247, 4], [6, 4, 168]], * Val accuracy / confusion: 53.65% / [[115, 76, 39], [32, 99, 44], [5, 45, 65]] ------------------------------ Epoch 566 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.146447 - Iter 024 / 025, Loss: 0.334530 * Train accuracy / confusion: 93.88% / [[343, 8, 8], [13, 248, 7], [5, 8, 160]], * Val accuracy / confusion: 55.96% / [[149, 39, 42], [69, 72, 34], [20, 25, 70]] ------------------------------ Epoch 567 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.283642 - Iter 024 / 025, Loss: 0.345416 * Train accuracy / confusion: 94.88% / [[357, 3, 0], [16, 242, 9], [7, 6, 160]], * Val accuracy / confusion: 54.23% / [[183, 29, 18], [100, 51, 24], [44, 23, 48]] ------------------------------ Epoch 568 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.287362 - Iter 024 / 025, Loss: 0.207218 * Train accuracy / confusion: 93.12% / [[332, 20, 4], [19, 245, 4], [4, 4, 168]], * Val accuracy / confusion: 40.58% / [[57, 99, 74], [19, 96, 60], [8, 49, 58]] ------------------------------ Epoch 569 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.206950 - Iter 024 / 025, Loss: 0.292728 * Train accuracy / confusion: 95.25% / [[347, 9, 4], [18, 247, 3], [3, 1, 168]], * Val accuracy / confusion: 56.92% / [[159, 46, 25], [67, 77, 31], [22, 33, 60]] ------------------------------ Epoch 570 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.183380 - Iter 024 / 025, Loss: 0.352117 * Train accuracy / confusion: 93.00% / [[335, 12, 7], [15, 247, 7], [6, 9, 162]], * Val accuracy / confusion: 56.73% / [[129, 82, 19], [50, 108, 17], [18, 39, 58]] ------------------------------ Epoch 571 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.178837 - Iter 024 / 025, Loss: 0.153601 * Train accuracy / confusion: 95.38% / [[345, 7, 4], [9, 255, 2], [7, 8, 163]], * Val accuracy / confusion: 57.88% / [[155, 42, 33], [52, 77, 46], [20, 26, 69]] ------------------------------ Epoch 572 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.088861 - Iter 024 / 025, Loss: 0.109135 * Train accuracy / confusion: 95.38% / [[343, 10, 5], [12, 250, 2], [5, 3, 170]], * Val accuracy / confusion: 50.58% / [[151, 19, 60], [70, 40, 65], [26, 17, 72]] ------------------------------ Epoch 573 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.195457 - Iter 024 / 025, Loss: 0.231968 * Train accuracy / confusion: 94.50% / [[339, 8, 9], [9, 250, 6], [8, 4, 167]], * Val accuracy / confusion: 57.12% / [[155, 40, 35], [71, 82, 22], [26, 29, 60]] ------------------------------ Epoch 574 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.126225 - Iter 024 / 025, Loss: 0.070472 * Train accuracy / confusion: 95.62% / [[352, 3, 3], [14, 247, 7], [3, 5, 166]], * Val accuracy / confusion: 57.12% / [[172, 32, 26], [77, 70, 28], [33, 27, 55]] ------------------------------ Epoch 575 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.213887 - Iter 024 / 025, Loss: 0.296737 * Train accuracy / confusion: 95.12% / [[341, 11, 6], [7, 260, 2], [6, 7, 160]], * Val accuracy / confusion: 49.62% / [[144, 64, 22], [67, 74, 34], [25, 50, 40]] ------------------------------ Epoch 576 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.218305 - Iter 024 / 025, Loss: 0.084970 * Train accuracy / confusion: 94.62% / [[344, 8, 5], [11, 249, 7], [6, 6, 164]], * Val accuracy / confusion: 52.31% / [[151, 44, 35], [78, 59, 38], [24, 29, 62]] ------------------------------ Epoch 577 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.095046 - Iter 024 / 025, Loss: 0.334856 * Train accuracy / confusion: 95.50% / [[344, 12, 1], [13, 247, 5], [3, 2, 173]], * Val accuracy / confusion: 56.35% / [[140, 62, 28], [44, 99, 32], [12, 49, 54]] ------------------------------ Epoch 578 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.134014 - Iter 024 / 025, Loss: 0.038380 * Train accuracy / confusion: 94.62% / [[341, 6, 7], [15, 251, 4], [6, 5, 165]], * Val accuracy / confusion: 53.46% / [[139, 57, 34], [66, 65, 44], [20, 21, 74]] ------------------------------ Epoch 579 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.133399 - Iter 024 / 025, Loss: 0.072016 * Train accuracy / confusion: 96.00% / [[340, 11, 2], [9, 256, 4], [3, 3, 172]], * Val accuracy / confusion: 55.38% / [[157, 56, 17], [68, 80, 27], [26, 38, 51]] ------------------------------ Epoch 580 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.037664 - Iter 024 / 025, Loss: 0.047580 * Train accuracy / confusion: 97.00% / [[356, 3, 1], [11, 254, 4], [4, 1, 166]], * Val accuracy / confusion: 53.65% / [[138, 41, 51], [58, 64, 53], [17, 21, 77]] ------------------------------ Epoch 581 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.087421 - Iter 024 / 025, Loss: 0.065502 * Train accuracy / confusion: 95.88% / [[345, 8, 3], [12, 253, 4], [4, 2, 169]], * Val accuracy / confusion: 56.35% / [[152, 42, 36], [57, 73, 45], [14, 33, 68]] ------------------------------ Epoch 582 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.047139 - Iter 024 / 025, Loss: 0.343938 * Train accuracy / confusion: 95.62% / [[350, 4, 5], [11, 251, 3], [4, 8, 164]], * Val accuracy / confusion: 53.27% / [[149, 50, 31], [61, 75, 39], [24, 38, 53]] ------------------------------ Epoch 583 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.142581 - Iter 024 / 025, Loss: 0.067263 * Train accuracy / confusion: 96.25% / [[343, 9, 2], [10, 257, 3], [3, 3, 170]], * Val accuracy / confusion: 55.58% / [[145, 58, 27], [66, 76, 33], [19, 28, 68]] ------------------------------ Epoch 584 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.218489 - Iter 024 / 025, Loss: 0.178190 * Train accuracy / confusion: 94.75% / [[351, 9, 5], [14, 250, 4], [6, 4, 157]], * Val accuracy / confusion: 53.85% / [[154, 39, 37], [71, 54, 50], [26, 17, 72]] ------------------------------ Epoch 585 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.114696 - Iter 024 / 025, Loss: 0.275899 * Train accuracy / confusion: 94.88% / [[341, 12, 2], [13, 251, 5], [5, 4, 167]], * Val accuracy / confusion: 51.73% / [[126, 75, 29], [55, 93, 27], [18, 47, 50]] ------------------------------ Epoch 586 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.344472 - Iter 024 / 025, Loss: 0.041579 * Train accuracy / confusion: 94.62% / [[342, 10, 6], [12, 249, 5], [5, 5, 166]], * Val accuracy / confusion: 52.50% / [[128, 42, 60], [55, 77, 43], [22, 25, 68]] ------------------------------ Epoch 587 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.164782 - Iter 024 / 025, Loss: 0.085550 * Train accuracy / confusion: 94.75% / [[354, 10, 1], [17, 236, 5], [5, 4, 168]], * Val accuracy / confusion: 51.92% / [[136, 53, 41], [63, 65, 47], [20, 26, 69]] ------------------------------ Epoch 588 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.345221 - Iter 024 / 025, Loss: 0.187806 * Train accuracy / confusion: 95.38% / [[342, 11, 2], [11, 258, 2], [8, 3, 163]], * Val accuracy / confusion: 57.69% / [[193, 27, 10], [90, 74, 11], [44, 38, 33]] ------------------------------ Epoch 589 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.036493 - Iter 024 / 025, Loss: 0.079687 * Train accuracy / confusion: 96.38% / [[350, 6, 2], [12, 248, 4], [3, 2, 173]], * Val accuracy / confusion: 54.62% / [[142, 44, 44], [54, 74, 47], [19, 28, 68]] ------------------------------ Epoch 590 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.049307 - Iter 024 / 025, Loss: 0.059205 * Train accuracy / confusion: 97.00% / [[346, 8, 3], [6, 257, 3], [1, 3, 173]], * Val accuracy / confusion: 55.19% / [[134, 66, 30], [36, 98, 41], [16, 44, 55]] ------------------------------ Epoch 591 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.097213 - Iter 024 / 025, Loss: 0.063237 * Train accuracy / confusion: 95.75% / [[347, 9, 2], [14, 252, 4], [2, 3, 167]], * Val accuracy / confusion: 54.42% / [[155, 32, 43], [62, 64, 49], [20, 31, 64]] ------------------------------ Epoch 592 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.250095 - Iter 024 / 025, Loss: 0.026630 * Train accuracy / confusion: 94.38% / [[340, 12, 3], [19, 248, 2], [4, 5, 167]], * Val accuracy / confusion: 53.65% / [[154, 52, 24], [71, 68, 36], [33, 25, 57]] ------------------------------ Epoch 593 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.114813 - Iter 024 / 025, Loss: 0.093997 * Train accuracy / confusion: 94.25% / [[341, 15, 3], [14, 239, 8], [2, 4, 174]], * Val accuracy / confusion: 54.62% / [[152, 40, 38], [41, 64, 70], [18, 29, 68]] ------------------------------ Epoch 594 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.224983 - Iter 024 / 025, Loss: 0.056069 * Train accuracy / confusion: 95.50% / [[342, 5, 3], [12, 255, 3], [6, 7, 167]], * Val accuracy / confusion: 55.77% / [[153, 51, 26], [54, 83, 38], [18, 43, 54]] ------------------------------ Epoch 595 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.173891 - Iter 024 / 025, Loss: 0.070355 * Train accuracy / confusion: 94.75% / [[345, 8, 4], [13, 251, 4], [6, 7, 162]], * Val accuracy / confusion: 58.46% / [[183, 37, 10], [71, 75, 29], [28, 41, 46]] ------------------------------ Epoch 596 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.065771 - Iter 024 / 025, Loss: 0.306852 * Train accuracy / confusion: 94.00% / [[339, 8, 11], [12, 245, 10], [1, 6, 168]], * Val accuracy / confusion: 51.54% / [[161, 52, 17], [73, 61, 41], [21, 48, 46]] ------------------------------ Epoch 597 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.068745 - Iter 024 / 025, Loss: 0.135697 * Train accuracy / confusion: 95.50% / [[344, 10, 1], [15, 251, 3], [4, 3, 169]], * Val accuracy / confusion: 56.54% / [[157, 41, 32], [66, 77, 32], [19, 36, 60]] ------------------------------ Epoch 598 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.189182 - Iter 024 / 025, Loss: 0.022385 * Train accuracy / confusion: 94.25% / [[337, 15, 7], [9, 254, 6], [6, 3, 163]], * Val accuracy / confusion: 57.12% / [[171, 38, 21], [67, 81, 27], [18, 52, 45]] ------------------------------ Epoch 599 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.136500 - Iter 024 / 025, Loss: 0.033967 * Train accuracy / confusion: 96.25% / [[356, 5, 1], [12, 249, 4], [4, 4, 165]], * Val accuracy / confusion: 60.77% / [[176, 34, 20], [67, 71, 37], [14, 32, 69]] ------------------------------ Epoch 600 / 2000, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.064334 - Iter 024 / 025, Loss: 0.077900 * Train accuracy / confusion: 95.62% / [[342, 12, 5], [8, 255, 4], [3, 3, 168]], * Val accuracy / confusion: 55.96% / [[162, 19, 49], [65, 57, 53], [18, 25, 72]] ------------------------------ Epoch 601 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.111056 - Iter 024 / 025, Loss: 0.109208 * Train accuracy / confusion: 95.50% / [[342, 10, 1], [14, 254, 3], [3, 5, 168]], * Val accuracy / confusion: 52.88% / [[156, 51, 23], [71, 64, 40], [23, 37, 55]] ------------------------------ Epoch 602 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.062333 - Iter 024 / 025, Loss: 0.120066 * Train accuracy / confusion: 96.25% / [[348, 6, 1], [14, 254, 5], [3, 1, 168]], * Val accuracy / confusion: 53.27% / [[156, 45, 29], [63, 71, 41], [20, 45, 50]] ------------------------------ Epoch 603 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.050607 - Iter 024 / 025, Loss: 0.101061 * Train accuracy / confusion: 96.62% / [[348, 6, 1], [11, 257, 3], [3, 3, 168]], * Val accuracy / confusion: 56.92% / [[162, 41, 27], [64, 74, 37], [19, 36, 60]] ------------------------------ Epoch 604 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.078199 - Iter 024 / 025, Loss: 0.038906 * Train accuracy / confusion: 98.38% / [[352, 3, 1], [5, 262, 1], [1, 2, 173]], * Val accuracy / confusion: 58.46% / [[167, 40, 23], [64, 79, 32], [23, 34, 58]] ------------------------------ Epoch 605 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.119194 - Iter 024 / 025, Loss: 0.011726 * Train accuracy / confusion: 97.12% / [[350, 6, 2], [10, 257, 2], [3, 0, 170]], * Val accuracy / confusion: 55.77% / [[167, 38, 25], [65, 68, 42], [19, 41, 55]] ------------------------------ Epoch 606 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.298140 - Iter 024 / 025, Loss: 0.145812 * Train accuracy / confusion: 95.62% / [[350, 4, 3], [10, 252, 7], [4, 7, 163]], * Val accuracy / confusion: 54.23% / [[156, 42, 32], [75, 67, 33], [23, 33, 59]] ------------------------------ Epoch 607 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.049062 - Iter 024 / 025, Loss: 0.085583 * Train accuracy / confusion: 97.25% / [[350, 7, 2], [6, 258, 4], [1, 2, 170]], * Val accuracy / confusion: 57.50% / [[158, 43, 29], [54, 79, 42], [19, 34, 62]] ------------------------------ Epoch 608 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.036619 - Iter 024 / 025, Loss: 0.064727 * Train accuracy / confusion: 96.50% / [[344, 9, 2], [8, 257, 4], [3, 2, 171]], * Val accuracy / confusion: 55.19% / [[150, 49, 31], [58, 80, 37], [19, 39, 57]] ------------------------------ Epoch 609 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.057224 - Iter 024 / 025, Loss: 0.056317 * Train accuracy / confusion: 96.88% / [[351, 2, 1], [11, 254, 4], [3, 4, 170]], * Val accuracy / confusion: 57.69% / [[158, 40, 32], [63, 81, 31], [23, 31, 61]] ------------------------------ Epoch 610 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.047453 - Iter 024 / 025, Loss: 0.018488 * Train accuracy / confusion: 95.38% / [[341, 5, 9], [12, 252, 2], [5, 4, 170]], * Val accuracy / confusion: 55.00% / [[151, 45, 34], [60, 75, 40], [20, 35, 60]] ------------------------------ Epoch 611 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.017263 - Iter 024 / 025, Loss: 0.043113 * Train accuracy / confusion: 97.75% / [[357, 0, 2], [8, 252, 4], [3, 1, 173]], * Val accuracy / confusion: 57.50% / [[163, 39, 28], [60, 73, 42], [25, 27, 63]] ------------------------------ Epoch 612 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.028610 - Iter 024 / 025, Loss: 0.050563 * Train accuracy / confusion: 96.62% / [[348, 6, 3], [5, 254, 5], [6, 2, 171]], * Val accuracy / confusion: 57.69% / [[157, 39, 34], [54, 82, 39], [20, 34, 61]] ------------------------------ Epoch 613 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.352750 - Iter 024 / 025, Loss: 0.351348 * Train accuracy / confusion: 97.00% / [[350, 3, 3], [8, 254, 4], [2, 4, 172]], * Val accuracy / confusion: 53.65% / [[146, 45, 39], [58, 70, 47], [20, 32, 63]] ------------------------------ Epoch 614 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.063245 - Iter 024 / 025, Loss: 0.017242 * Train accuracy / confusion: 97.12% / [[355, 4, 1], [7, 251, 6], [1, 4, 171]], * Val accuracy / confusion: 57.12% / [[158, 39, 33], [62, 78, 35], [21, 33, 61]] ------------------------------ Epoch 615 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.011499 - Iter 024 / 025, Loss: 0.019876 * Train accuracy / confusion: 98.25% / [[349, 6, 0], [3, 263, 2], [1, 2, 174]], * Val accuracy / confusion: 56.15% / [[156, 38, 36], [64, 76, 35], [20, 35, 60]] ------------------------------ Epoch 616 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.054381 - Iter 024 / 025, Loss: 0.042731 * Train accuracy / confusion: 97.50% / [[349, 7, 2], [7, 259, 2], [1, 1, 172]], * Val accuracy / confusion: 56.54% / [[161, 42, 27], [65, 69, 41], [18, 33, 64]] ------------------------------ Epoch 617 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.029229 - Iter 024 / 025, Loss: 0.287651 * Train accuracy / confusion: 97.88% / [[356, 2, 0], [8, 255, 2], [1, 4, 172]], * Val accuracy / confusion: 55.58% / [[167, 39, 24], [65, 69, 41], [25, 37, 53]] ------------------------------ Epoch 618 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.032256 - Iter 024 / 025, Loss: 0.149251 * Train accuracy / confusion: 96.75% / [[351, 6, 4], [8, 255, 1], [3, 4, 168]], * Val accuracy / confusion: 54.62% / [[146, 53, 31], [63, 78, 34], [19, 36, 60]] ------------------------------ Epoch 619 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.017994 - Iter 024 / 025, Loss: 0.015576 * Train accuracy / confusion: 97.62% / [[349, 4, 3], [8, 262, 0], [3, 1, 170]], * Val accuracy / confusion: 57.50% / [[159, 45, 26], [59, 76, 40], [16, 35, 64]] ------------------------------ Epoch 620 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.014525 - Iter 024 / 025, Loss: 0.138521 * Train accuracy / confusion: 97.38% / [[341, 5, 1], [8, 264, 1], [2, 4, 174]], * Val accuracy / confusion: 57.12% / [[160, 34, 36], [62, 74, 39], [19, 33, 63]] ------------------------------ Epoch 621 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.079034 - Iter 024 / 025, Loss: 0.034986 * Train accuracy / confusion: 96.62% / [[352, 7, 1], [10, 252, 3], [1, 5, 169]], * Val accuracy / confusion: 59.23% / [[159, 35, 36], [60, 79, 36], [19, 26, 70]] ------------------------------ Epoch 622 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.039871 - Iter 024 / 025, Loss: 0.052540 * Train accuracy / confusion: 96.50% / [[349, 4, 6], [7, 253, 7], [4, 0, 170]], * Val accuracy / confusion: 56.73% / [[158, 36, 36], [63, 73, 39], [17, 34, 64]] ------------------------------ Epoch 623 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.012669 - Iter 024 / 025, Loss: 0.054468 * Train accuracy / confusion: 97.75% / [[351, 4, 0], [10, 256, 1], [1, 2, 175]], * Val accuracy / confusion: 56.15% / [[157, 39, 34], [68, 76, 31], [22, 34, 59]] ------------------------------ Epoch 624 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.083115 - Iter 024 / 025, Loss: 0.021408 * Train accuracy / confusion: 97.62% / [[347, 8, 1], [5, 261, 1], [1, 3, 173]], * Val accuracy / confusion: 58.27% / [[163, 37, 30], [58, 74, 43], [21, 28, 66]] ------------------------------ Epoch 625 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.035872 - Iter 024 / 025, Loss: 0.019718 * Train accuracy / confusion: 97.75% / [[349, 5, 2], [4, 260, 7], [0, 0, 173]], * Val accuracy / confusion: 56.15% / [[159, 39, 32], [51, 78, 46], [22, 38, 55]] ------------------------------ Epoch 626 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.042614 - Iter 024 / 025, Loss: 0.044744 * Train accuracy / confusion: 97.62% / [[346, 6, 1], [6, 262, 2], [1, 3, 173]], * Val accuracy / confusion: 55.77% / [[151, 52, 27], [52, 75, 48], [19, 32, 64]] ------------------------------ Epoch 627 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.093324 - Iter 024 / 025, Loss: 0.013922 * Train accuracy / confusion: 98.25% / [[353, 0, 0], [4, 263, 4], [3, 3, 170]], * Val accuracy / confusion: 59.42% / [[167, 26, 37], [57, 77, 41], [19, 31, 65]] ------------------------------ Epoch 628 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.093018 - Iter 024 / 025, Loss: 0.032083 * Train accuracy / confusion: 97.88% / [[354, 6, 2], [4, 262, 1], [2, 2, 167]], * Val accuracy / confusion: 56.15% / [[152, 46, 32], [58, 82, 35], [22, 35, 58]] ------------------------------ Epoch 629 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.039544 - Iter 024 / 025, Loss: 0.173027 * Train accuracy / confusion: 97.75% / [[348, 4, 2], [4, 260, 2], [3, 3, 174]], * Val accuracy / confusion: 58.85% / [[159, 40, 31], [64, 81, 30], [21, 28, 66]] ------------------------------ Epoch 630 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.074401 - Iter 024 / 025, Loss: 0.088230 * Train accuracy / confusion: 97.50% / [[349, 7, 1], [6, 257, 1], [2, 3, 174]], * Val accuracy / confusion: 55.00% / [[147, 41, 42], [60, 78, 37], [18, 36, 61]] ------------------------------ Epoch 631 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.115612 - Iter 024 / 025, Loss: 0.026382 * Train accuracy / confusion: 97.88% / [[354, 4, 1], [8, 259, 1], [3, 0, 170]], * Val accuracy / confusion: 57.12% / [[158, 36, 36], [66, 79, 30], [20, 35, 60]] ------------------------------ Epoch 632 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.029552 - Iter 024 / 025, Loss: 0.009045 * Train accuracy / confusion: 98.00% / [[350, 5, 3], [4, 260, 1], [2, 1, 174]], * Val accuracy / confusion: 55.77% / [[158, 39, 33], [54, 77, 44], [20, 40, 55]] ------------------------------ Epoch 633 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.031257 - Iter 024 / 025, Loss: 0.063264 * Train accuracy / confusion: 97.38% / [[346, 6, 2], [7, 258, 3], [1, 2, 175]], * Val accuracy / confusion: 55.96% / [[158, 38, 34], [63, 73, 39], [20, 35, 60]] ------------------------------ Epoch 634 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.070744 - Iter 024 / 025, Loss: 0.014011 * Train accuracy / confusion: 96.88% / [[349, 7, 1], [10, 256, 3], [3, 1, 170]], * Val accuracy / confusion: 56.73% / [[150, 47, 33], [52, 84, 39], [18, 36, 61]] ------------------------------ Epoch 635 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.017720 - Iter 024 / 025, Loss: 0.150863 * Train accuracy / confusion: 97.75% / [[352, 5, 2], [6, 258, 2], [1, 2, 172]], * Val accuracy / confusion: 56.54% / [[158, 34, 38], [64, 75, 36], [24, 30, 61]] ------------------------------ Epoch 636 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.108475 - Iter 024 / 025, Loss: 0.017714 * Train accuracy / confusion: 97.75% / [[346, 6, 3], [4, 265, 2], [2, 1, 171]], * Val accuracy / confusion: 58.85% / [[164, 39, 27], [68, 74, 33], [23, 24, 68]] ------------------------------ Epoch 637 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.039060 - Iter 024 / 025, Loss: 0.052411 * Train accuracy / confusion: 98.62% / [[349, 3, 0], [3, 263, 3], [0, 2, 177]], * Val accuracy / confusion: 55.58% / [[157, 43, 30], [61, 77, 37], [26, 34, 55]] ------------------------------ Epoch 638 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.010311 - Iter 024 / 025, Loss: 0.073424 * Train accuracy / confusion: 97.75% / [[352, 3, 2], [7, 259, 3], [0, 3, 171]], * Val accuracy / confusion: 58.27% / [[158, 41, 31], [53, 85, 37], [21, 34, 60]] ------------------------------ Epoch 639 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005930 - Iter 024 / 025, Loss: 0.249651 * Train accuracy / confusion: 97.75% / [[348, 2, 2], [6, 263, 1], [6, 1, 171]], * Val accuracy / confusion: 57.50% / [[162, 39, 29], [68, 74, 33], [23, 29, 63]] ------------------------------ Epoch 640 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.030758 - Iter 024 / 025, Loss: 0.027702 * Train accuracy / confusion: 98.62% / [[353, 4, 1], [5, 265, 0], [1, 0, 171]], * Val accuracy / confusion: 55.77% / [[148, 56, 26], [56, 79, 40], [20, 32, 63]] ------------------------------ Epoch 641 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.058784 - Iter 024 / 025, Loss: 0.066647 * Train accuracy / confusion: 97.38% / [[354, 3, 2], [11, 255, 3], [1, 1, 170]], * Val accuracy / confusion: 58.27% / [[167, 33, 30], [73, 72, 30], [23, 28, 64]] ------------------------------ Epoch 642 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.009646 - Iter 024 / 025, Loss: 0.093253 * Train accuracy / confusion: 97.50% / [[351, 3, 2], [7, 258, 4], [4, 0, 171]], * Val accuracy / confusion: 58.27% / [[166, 39, 25], [65, 74, 36], [19, 33, 63]] ------------------------------ Epoch 643 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.047416 - Iter 024 / 025, Loss: 0.018909 * Train accuracy / confusion: 97.88% / [[357, 3, 0], [5, 254, 5], [2, 2, 172]], * Val accuracy / confusion: 56.73% / [[160, 38, 32], [59, 76, 40], [25, 31, 59]] ------------------------------ Epoch 644 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.074675 - Iter 024 / 025, Loss: 0.055193 * Train accuracy / confusion: 97.50% / [[349, 4, 1], [6, 256, 3], [5, 1, 175]], * Val accuracy / confusion: 54.42% / [[148, 47, 35], [66, 78, 31], [17, 41, 57]] ------------------------------ Epoch 645 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.023727 - Iter 024 / 025, Loss: 0.027653 * Train accuracy / confusion: 98.12% / [[354, 2, 1], [6, 257, 3], [2, 1, 174]], * Val accuracy / confusion: 55.00% / [[154, 40, 36], [64, 70, 41], [22, 31, 62]] ------------------------------ Epoch 646 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.011230 - Iter 024 / 025, Loss: 0.050704 * Train accuracy / confusion: 98.50% / [[351, 3, 0], [4, 258, 3], [0, 2, 179]], * Val accuracy / confusion: 56.15% / [[147, 50, 33], [66, 82, 27], [22, 30, 63]] ------------------------------ Epoch 647 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.015579 - Iter 024 / 025, Loss: 0.098110 * Train accuracy / confusion: 98.75% / [[348, 2, 0], [3, 267, 2], [2, 1, 175]], * Val accuracy / confusion: 55.96% / [[155, 41, 34], [59, 74, 42], [21, 32, 62]] ------------------------------ Epoch 648 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.050432 - Iter 024 / 025, Loss: 0.006229 * Train accuracy / confusion: 97.12% / [[346, 6, 4], [5, 259, 5], [1, 2, 172]], * Val accuracy / confusion: 56.15% / [[155, 41, 34], [57, 77, 41], [23, 32, 60]] ------------------------------ Epoch 649 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.019543 - Iter 024 / 025, Loss: 0.010176 * Train accuracy / confusion: 97.00% / [[348, 3, 2], [11, 258, 3], [5, 0, 170]], * Val accuracy / confusion: 58.46% / [[160, 38, 32], [65, 80, 30], [24, 27, 64]] ------------------------------ Epoch 650 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.038948 - Iter 024 / 025, Loss: 0.039933 * Train accuracy / confusion: 98.00% / [[350, 5, 1], [7, 256, 2], [1, 0, 178]], * Val accuracy / confusion: 59.42% / [[160, 39, 31], [56, 82, 37], [20, 28, 67]] ------------------------------ Epoch 651 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.040850 - Iter 024 / 025, Loss: 0.062837 * Train accuracy / confusion: 97.88% / [[353, 4, 1], [8, 255, 2], [1, 1, 175]], * Val accuracy / confusion: 54.42% / [[143, 51, 36], [64, 78, 33], [16, 37, 62]] ------------------------------ Epoch 652 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016333 - Iter 024 / 025, Loss: 0.022432 * Train accuracy / confusion: 97.88% / [[354, 2, 2], [3, 264, 3], [2, 5, 165]], * Val accuracy / confusion: 57.50% / [[160, 43, 27], [55, 76, 44], [19, 33, 63]] ------------------------------ Epoch 653 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.045908 - Iter 024 / 025, Loss: 0.008612 * Train accuracy / confusion: 98.00% / [[346, 6, 0], [4, 263, 3], [0, 3, 175]], * Val accuracy / confusion: 56.73% / [[153, 51, 26], [60, 81, 34], [26, 28, 61]] ------------------------------ Epoch 654 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.061586 - Iter 024 / 025, Loss: 0.017489 * Train accuracy / confusion: 97.00% / [[348, 7, 1], [6, 256, 4], [2, 4, 172]], * Val accuracy / confusion: 53.65% / [[147, 55, 28], [61, 74, 40], [21, 36, 58]] ------------------------------ Epoch 655 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.072272 - Iter 024 / 025, Loss: 0.105021 * Train accuracy / confusion: 97.50% / [[353, 6, 3], [9, 255, 1], [1, 0, 172]], * Val accuracy / confusion: 57.31% / [[152, 49, 29], [66, 78, 31], [22, 25, 68]] ------------------------------ Epoch 656 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005808 - Iter 024 / 025, Loss: 0.035960 * Train accuracy / confusion: 97.38% / [[353, 1, 2], [10, 252, 3], [4, 1, 174]], * Val accuracy / confusion: 58.27% / [[156, 37, 37], [56, 85, 34], [18, 35, 62]] ------------------------------ Epoch 657 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.222285 - Iter 024 / 025, Loss: 0.062297 * Train accuracy / confusion: 97.88% / [[352, 4, 3], [5, 259, 3], [1, 1, 172]], * Val accuracy / confusion: 56.92% / [[145, 57, 28], [47, 89, 39], [24, 29, 62]] ------------------------------ Epoch 658 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.029206 - Iter 024 / 025, Loss: 0.051202 * Train accuracy / confusion: 97.88% / [[353, 3, 2], [4, 263, 2], [6, 0, 167]], * Val accuracy / confusion: 54.81% / [[151, 48, 31], [56, 77, 42], [19, 39, 57]] ------------------------------ Epoch 659 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.068985 - Iter 024 / 025, Loss: 0.134193 * Train accuracy / confusion: 97.75% / [[349, 7, 1], [4, 261, 2], [1, 3, 172]], * Val accuracy / confusion: 55.77% / [[148, 45, 37], [61, 81, 33], [19, 35, 61]] ------------------------------ Epoch 660 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.141922 - Iter 024 / 025, Loss: 0.039033 * Train accuracy / confusion: 98.50% / [[350, 3, 2], [4, 261, 2], [1, 0, 177]], * Val accuracy / confusion: 57.88% / [[161, 36, 33], [63, 78, 34], [27, 26, 62]] ------------------------------ Epoch 661 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.017312 - Iter 024 / 025, Loss: 0.008680 * Train accuracy / confusion: 98.00% / [[352, 3, 1], [6, 264, 1], [2, 3, 168]], * Val accuracy / confusion: 57.31% / [[153, 46, 31], [66, 83, 26], [19, 34, 62]] ------------------------------ Epoch 662 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.053346 - Iter 024 / 025, Loss: 0.065543 * Train accuracy / confusion: 98.00% / [[348, 6, 1], [4, 259, 3], [1, 1, 177]], * Val accuracy / confusion: 57.69% / [[157, 44, 29], [55, 76, 44], [21, 27, 67]] ------------------------------ Epoch 663 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.053356 - Iter 024 / 025, Loss: 0.205439 * Train accuracy / confusion: 98.12% / [[353, 2, 2], [8, 258, 2], [1, 0, 174]], * Val accuracy / confusion: 56.92% / [[154, 44, 32], [61, 82, 32], [25, 30, 60]] ------------------------------ Epoch 664 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.048502 - Iter 024 / 025, Loss: 0.060415 * Train accuracy / confusion: 97.88% / [[346, 8, 0], [8, 260, 1], [0, 0, 177]], * Val accuracy / confusion: 58.08% / [[159, 40, 31], [54, 81, 40], [20, 33, 62]] ------------------------------ Epoch 665 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.013533 - Iter 024 / 025, Loss: 0.013262 * Train accuracy / confusion: 98.62% / [[355, 2, 0], [3, 260, 1], [2, 3, 174]], * Val accuracy / confusion: 58.27% / [[168, 44, 18], [66, 80, 29], [24, 36, 55]] ------------------------------ Epoch 666 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.017570 - Iter 024 / 025, Loss: 0.183483 * Train accuracy / confusion: 97.38% / [[354, 2, 3], [10, 254, 3], [1, 2, 171]], * Val accuracy / confusion: 57.12% / [[162, 33, 35], [59, 77, 39], [26, 31, 58]] ------------------------------ Epoch 667 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.097602 - Iter 024 / 025, Loss: 0.131181 * Train accuracy / confusion: 98.12% / [[347, 4, 3], [4, 262, 2], [0, 2, 176]], * Val accuracy / confusion: 56.92% / [[162, 43, 25], [74, 72, 29], [23, 30, 62]] ------------------------------ Epoch 668 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.048180 - Iter 024 / 025, Loss: 0.012254 * Train accuracy / confusion: 97.25% / [[349, 6, 1], [8, 256, 0], [3, 4, 173]], * Val accuracy / confusion: 59.04% / [[160, 43, 27], [64, 85, 26], [26, 27, 62]] ------------------------------ Epoch 669 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.006952 - Iter 024 / 025, Loss: 0.200270 * Train accuracy / confusion: 98.75% / [[351, 2, 2], [2, 265, 1], [2, 1, 174]], * Val accuracy / confusion: 55.96% / [[158, 39, 33], [59, 74, 42], [19, 37, 59]] ------------------------------ Epoch 670 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.038218 - Iter 024 / 025, Loss: 0.042903 * Train accuracy / confusion: 98.38% / [[354, 3, 0], [5, 261, 2], [2, 1, 172]], * Val accuracy / confusion: 56.92% / [[156, 36, 38], [63, 76, 36], [24, 27, 64]] ------------------------------ Epoch 671 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016619 - Iter 024 / 025, Loss: 0.102633 * Train accuracy / confusion: 98.38% / [[354, 0, 1], [6, 260, 3], [1, 2, 173]], * Val accuracy / confusion: 55.58% / [[154, 37, 39], [69, 65, 41], [19, 26, 70]] ------------------------------ Epoch 672 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.088925 - Iter 024 / 025, Loss: 0.073862 * Train accuracy / confusion: 98.25% / [[349, 2, 1], [10, 259, 1], [0, 0, 178]], * Val accuracy / confusion: 54.81% / [[156, 35, 39], [71, 68, 36], [21, 33, 61]] ------------------------------ Epoch 673 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.011534 - Iter 024 / 025, Loss: 0.047618 * Train accuracy / confusion: 97.50% / [[352, 3, 1], [6, 254, 7], [0, 3, 174]], * Val accuracy / confusion: 54.62% / [[153, 48, 29], [59, 71, 45], [18, 37, 60]] ------------------------------ Epoch 674 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.161925 - Iter 024 / 025, Loss: 0.064736 * Train accuracy / confusion: 97.62% / [[348, 3, 5], [9, 256, 1], [1, 0, 177]], * Val accuracy / confusion: 55.96% / [[157, 33, 40], [63, 72, 40], [22, 31, 62]] ------------------------------ Epoch 675 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.008176 - Iter 024 / 025, Loss: 0.010029 * Train accuracy / confusion: 98.88% / [[351, 4, 0], [2, 263, 3], [0, 0, 177]], * Val accuracy / confusion: 57.50% / [[158, 36, 36], [66, 77, 32], [18, 33, 64]] ------------------------------ Epoch 676 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.036469 - Iter 024 / 025, Loss: 0.184579 * Train accuracy / confusion: 97.25% / [[342, 6, 5], [4, 260, 4], [0, 3, 176]], * Val accuracy / confusion: 58.85% / [[152, 36, 42], [52, 86, 37], [17, 30, 68]] ------------------------------ Epoch 677 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016128 - Iter 024 / 025, Loss: 0.032109 * Train accuracy / confusion: 98.25% / [[351, 4, 2], [5, 266, 0], [2, 1, 169]], * Val accuracy / confusion: 55.96% / [[162, 34, 34], [69, 66, 40], [23, 29, 63]] ------------------------------ Epoch 678 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.112628 - Iter 024 / 025, Loss: 0.026113 * Train accuracy / confusion: 98.62% / [[354, 2, 2], [4, 260, 1], [0, 2, 175]], * Val accuracy / confusion: 55.96% / [[151, 42, 37], [64, 78, 33], [20, 33, 62]] ------------------------------ Epoch 679 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.051451 - Iter 024 / 025, Loss: 0.025883 * Train accuracy / confusion: 98.12% / [[347, 5, 2], [3, 267, 1], [2, 2, 171]], * Val accuracy / confusion: 55.19% / [[158, 40, 32], [67, 69, 39], [27, 28, 60]] ------------------------------ Epoch 680 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.034757 - Iter 024 / 025, Loss: 0.053984 * Train accuracy / confusion: 98.50% / [[350, 4, 0], [4, 265, 0], [2, 2, 173]], * Val accuracy / confusion: 56.54% / [[160, 43, 27], [63, 76, 36], [21, 36, 58]] ------------------------------ Epoch 681 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.024031 - Iter 024 / 025, Loss: 0.032753 * Train accuracy / confusion: 98.62% / [[354, 3, 2], [3, 261, 2], [1, 0, 174]], * Val accuracy / confusion: 56.54% / [[160, 37, 33], [62, 73, 40], [26, 28, 61]] ------------------------------ Epoch 682 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.014536 - Iter 024 / 025, Loss: 0.009295 * Train accuracy / confusion: 97.62% / [[353, 3, 1], [8, 261, 1], [3, 3, 167]], * Val accuracy / confusion: 55.58% / [[157, 41, 32], [66, 67, 42], [20, 30, 65]] ------------------------------ Epoch 683 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.021189 - Iter 024 / 025, Loss: 0.188680 * Train accuracy / confusion: 98.25% / [[352, 6, 0], [3, 259, 1], [4, 0, 175]], * Val accuracy / confusion: 55.58% / [[161, 45, 24], [73, 74, 28], [26, 35, 54]] ------------------------------ Epoch 684 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.041793 - Iter 024 / 025, Loss: 0.372466 * Train accuracy / confusion: 98.50% / [[357, 3, 1], [6, 258, 0], [1, 1, 173]], * Val accuracy / confusion: 55.96% / [[149, 44, 37], [53, 82, 40], [19, 36, 60]] ------------------------------ Epoch 685 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.029126 - Iter 024 / 025, Loss: 0.020243 * Train accuracy / confusion: 98.62% / [[352, 1, 1], [5, 265, 1], [3, 0, 172]], * Val accuracy / confusion: 55.58% / [[159, 42, 29], [64, 70, 41], [24, 31, 60]] ------------------------------ Epoch 686 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016687 - Iter 024 / 025, Loss: 0.130807 * Train accuracy / confusion: 98.25% / [[356, 3, 0], [4, 259, 3], [3, 1, 171]], * Val accuracy / confusion: 55.19% / [[151, 37, 42], [60, 77, 38], [15, 41, 59]] ------------------------------ Epoch 687 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.060943 - Iter 024 / 025, Loss: 0.009515 * Train accuracy / confusion: 97.25% / [[348, 6, 1], [6, 257, 4], [2, 3, 173]], * Val accuracy / confusion: 56.73% / [[154, 48, 28], [70, 75, 30], [18, 31, 66]] ------------------------------ Epoch 688 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.042796 - Iter 024 / 025, Loss: 0.069261 * Train accuracy / confusion: 97.88% / [[350, 4, 2], [4, 261, 2], [2, 3, 172]], * Val accuracy / confusion: 55.58% / [[156, 40, 34], [59, 75, 41], [22, 35, 58]] ------------------------------ Epoch 689 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.048756 - Iter 024 / 025, Loss: 0.032059 * Train accuracy / confusion: 98.00% / [[359, 3, 1], [5, 255, 4], [0, 3, 170]], * Val accuracy / confusion: 54.62% / [[152, 49, 29], [63, 78, 34], [22, 39, 54]] ------------------------------ Epoch 690 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.004781 - Iter 024 / 025, Loss: 0.090148 * Train accuracy / confusion: 98.25% / [[349, 4, 3], [4, 262, 2], [1, 0, 175]], * Val accuracy / confusion: 56.54% / [[154, 33, 43], [57, 73, 45], [18, 30, 67]] ------------------------------ Epoch 691 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.023265 - Iter 024 / 025, Loss: 0.008959 * Train accuracy / confusion: 97.38% / [[349, 2, 3], [6, 261, 5], [0, 5, 169]], * Val accuracy / confusion: 56.15% / [[152, 45, 33], [63, 79, 33], [20, 34, 61]] ------------------------------ Epoch 692 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.034940 - Iter 024 / 025, Loss: 0.011890 * Train accuracy / confusion: 98.25% / [[348, 5, 0], [6, 265, 1], [0, 2, 173]], * Val accuracy / confusion: 55.00% / [[152, 41, 37], [67, 76, 32], [17, 40, 58]] ------------------------------ Epoch 693 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.013754 - Iter 024 / 025, Loss: 0.189171 * Train accuracy / confusion: 97.88% / [[354, 4, 3], [4, 255, 1], [4, 1, 174]], * Val accuracy / confusion: 58.08% / [[154, 39, 37], [58, 80, 37], [16, 31, 68]] ------------------------------ Epoch 694 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.013317 - Iter 024 / 025, Loss: 0.078334 * Train accuracy / confusion: 98.00% / [[347, 5, 1], [5, 263, 1], [4, 0, 174]], * Val accuracy / confusion: 56.54% / [[154, 40, 36], [64, 77, 34], [22, 30, 63]] ------------------------------ Epoch 695 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.011971 - Iter 024 / 025, Loss: 0.066555 * Train accuracy / confusion: 98.50% / [[352, 4, 2], [5, 261, 1], [0, 0, 175]], * Val accuracy / confusion: 54.42% / [[152, 41, 37], [63, 72, 40], [21, 35, 59]] ------------------------------ Epoch 696 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.101095 - Iter 024 / 025, Loss: 0.005264 * Train accuracy / confusion: 98.25% / [[350, 5, 0], [5, 263, 2], [2, 0, 173]], * Val accuracy / confusion: 59.04% / [[163, 34, 33], [63, 78, 34], [23, 26, 66]] ------------------------------ Epoch 697 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.009664 - Iter 024 / 025, Loss: 0.041488 * Train accuracy / confusion: 98.62% / [[349, 3, 0], [8, 263, 0], [0, 0, 177]], * Val accuracy / confusion: 56.73% / [[153, 48, 29], [61, 81, 33], [22, 32, 61]] ------------------------------ Epoch 698 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.039657 - Iter 024 / 025, Loss: 0.010232 * Train accuracy / confusion: 98.25% / [[355, 1, 1], [6, 258, 3], [2, 1, 173]], * Val accuracy / confusion: 57.69% / [[160, 39, 31], [62, 82, 31], [24, 33, 58]] ------------------------------ Epoch 699 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.099999 - Iter 024 / 025, Loss: 0.016622 * Train accuracy / confusion: 98.88% / [[352, 4, 0], [2, 267, 0], [1, 2, 172]], * Val accuracy / confusion: 58.27% / [[155, 46, 29], [55, 82, 38], [23, 26, 66]] ------------------------------ Epoch 700 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.018124 - Iter 024 / 025, Loss: 0.016604 * Train accuracy / confusion: 97.88% / [[352, 7, 0], [5, 257, 1], [2, 2, 174]], * Val accuracy / confusion: 56.35% / [[156, 46, 28], [60, 77, 38], [26, 29, 60]] ------------------------------ Epoch 701 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.010220 - Iter 024 / 025, Loss: 0.040901 * Train accuracy / confusion: 98.25% / [[350, 3, 2], [4, 262, 0], [3, 2, 174]], * Val accuracy / confusion: 58.08% / [[161, 37, 32], [64, 79, 32], [21, 32, 62]] ------------------------------ Epoch 702 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.022553 - Iter 024 / 025, Loss: 0.123167 * Train accuracy / confusion: 98.12% / [[351, 3, 0], [5, 258, 4], [2, 1, 176]], * Val accuracy / confusion: 58.85% / [[159, 34, 37], [67, 80, 28], [21, 27, 67]] ------------------------------ Epoch 703 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.014936 - Iter 024 / 025, Loss: 0.029698 * Train accuracy / confusion: 99.38% / [[352, 0, 1], [2, 267, 1], [1, 0, 176]], * Val accuracy / confusion: 58.85% / [[163, 32, 35], [62, 77, 36], [23, 26, 66]] ------------------------------ Epoch 704 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.006120 - Iter 024 / 025, Loss: 0.081059 * Train accuracy / confusion: 98.25% / [[353, 2, 0], [6, 257, 2], [2, 2, 176]], * Val accuracy / confusion: 57.31% / [[164, 33, 33], [67, 76, 32], [26, 31, 58]] ------------------------------ Epoch 705 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.010150 - Iter 024 / 025, Loss: 0.007218 * Train accuracy / confusion: 98.88% / [[353, 4, 1], [2, 262, 1], [1, 0, 176]], * Val accuracy / confusion: 55.00% / [[150, 47, 33], [58, 74, 43], [17, 36, 62]] ------------------------------ Epoch 706 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.033998 - Iter 024 / 025, Loss: 0.026038 * Train accuracy / confusion: 97.75% / [[358, 1, 1], [6, 252, 5], [3, 2, 172]], * Val accuracy / confusion: 55.77% / [[153, 39, 38], [61, 79, 35], [22, 35, 58]] ------------------------------ Epoch 707 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.015800 - Iter 024 / 025, Loss: 0.033227 * Train accuracy / confusion: 98.12% / [[354, 6, 0], [5, 256, 2], [2, 0, 175]], * Val accuracy / confusion: 56.92% / [[158, 38, 34], [62, 78, 35], [20, 35, 60]] ------------------------------ Epoch 708 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.092097 - Iter 024 / 025, Loss: 0.065271 * Train accuracy / confusion: 97.88% / [[351, 3, 2], [8, 257, 1], [3, 0, 175]], * Val accuracy / confusion: 57.12% / [[152, 43, 35], [60, 83, 32], [26, 27, 62]] ------------------------------ Epoch 709 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.025998 - Iter 024 / 025, Loss: 0.060036 * Train accuracy / confusion: 98.38% / [[355, 1, 3], [5, 261, 1], [1, 2, 171]], * Val accuracy / confusion: 52.12% / [[141, 43, 46], [57, 71, 47], [22, 34, 59]] ------------------------------ Epoch 710 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.052033 - Iter 024 / 025, Loss: 0.042561 * Train accuracy / confusion: 98.38% / [[352, 3, 1], [5, 260, 2], [0, 2, 175]], * Val accuracy / confusion: 54.81% / [[144, 39, 47], [53, 80, 42], [17, 37, 61]] ------------------------------ Epoch 711 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005310 - Iter 024 / 025, Loss: 0.021897 * Train accuracy / confusion: 98.38% / [[352, 2, 1], [4, 261, 2], [1, 3, 174]], * Val accuracy / confusion: 57.88% / [[154, 42, 34], [66, 80, 29], [22, 26, 67]] ------------------------------ Epoch 712 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005455 - Iter 024 / 025, Loss: 0.016156 * Train accuracy / confusion: 98.12% / [[348, 2, 1], [2, 262, 4], [2, 4, 175]], * Val accuracy / confusion: 56.15% / [[150, 47, 33], [52, 78, 45], [19, 32, 64]] ------------------------------ Epoch 713 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.031736 - Iter 024 / 025, Loss: 0.060624 * Train accuracy / confusion: 98.38% / [[350, 2, 2], [3, 262, 3], [1, 2, 175]], * Val accuracy / confusion: 56.54% / [[159, 32, 39], [63, 69, 43], [18, 31, 66]] ------------------------------ Epoch 714 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.037948 - Iter 024 / 025, Loss: 0.024808 * Train accuracy / confusion: 98.00% / [[348, 7, 1], [3, 259, 3], [0, 2, 177]], * Val accuracy / confusion: 57.69% / [[161, 29, 40], [61, 75, 39], [21, 30, 64]] ------------------------------ Epoch 715 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.009075 - Iter 024 / 025, Loss: 0.035884 * Train accuracy / confusion: 98.88% / [[358, 0, 2], [4, 261, 1], [2, 0, 172]], * Val accuracy / confusion: 55.96% / [[157, 38, 35], [65, 72, 38], [22, 31, 62]] ------------------------------ Epoch 716 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.014316 - Iter 024 / 025, Loss: 0.063125 * Train accuracy / confusion: 99.00% / [[356, 2, 1], [2, 264, 0], [2, 1, 172]], * Val accuracy / confusion: 55.77% / [[158, 40, 32], [65, 76, 34], [22, 37, 56]] ------------------------------ Epoch 717 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.004595 - Iter 024 / 025, Loss: 0.024506 * Train accuracy / confusion: 98.75% / [[351, 2, 0], [6, 260, 1], [0, 1, 179]], * Val accuracy / confusion: 56.54% / [[147, 42, 41], [53, 83, 39], [17, 34, 64]] ------------------------------ Epoch 718 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.125108 - Iter 024 / 025, Loss: 0.132762 * Train accuracy / confusion: 98.00% / [[344, 7, 1], [4, 265, 1], [2, 1, 175]], * Val accuracy / confusion: 58.46% / [[154, 39, 37], [60, 85, 30], [19, 31, 65]] ------------------------------ Epoch 719 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.014679 - Iter 024 / 025, Loss: 0.020860 * Train accuracy / confusion: 98.75% / [[358, 1, 0], [5, 264, 1], [1, 2, 168]], * Val accuracy / confusion: 56.92% / [[165, 32, 33], [60, 75, 40], [21, 38, 56]] ------------------------------ Epoch 720 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.007353 - Iter 024 / 025, Loss: 0.011440 * Train accuracy / confusion: 98.50% / [[350, 4, 1], [4, 260, 1], [1, 1, 178]], * Val accuracy / confusion: 55.58% / [[148, 48, 34], [61, 73, 41], [19, 28, 68]] ------------------------------ Epoch 721 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.044805 - Iter 024 / 025, Loss: 0.030867 * Train accuracy / confusion: 98.12% / [[348, 2, 4], [4, 260, 4], [0, 1, 177]], * Val accuracy / confusion: 56.35% / [[153, 42, 35], [59, 79, 37], [18, 36, 61]] ------------------------------ Epoch 722 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.023922 - Iter 024 / 025, Loss: 0.038823 * Train accuracy / confusion: 98.00% / [[359, 2, 1], [7, 257, 2], [1, 3, 168]], * Val accuracy / confusion: 55.77% / [[156, 35, 39], [60, 75, 40], [20, 36, 59]] ------------------------------ Epoch 723 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.008395 - Iter 024 / 025, Loss: 0.018628 * Train accuracy / confusion: 98.38% / [[346, 6, 1], [5, 263, 1], [0, 0, 178]], * Val accuracy / confusion: 56.15% / [[153, 41, 36], [66, 72, 37], [19, 29, 67]] ------------------------------ Epoch 724 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.002338 - Iter 024 / 025, Loss: 0.029710 * Train accuracy / confusion: 98.62% / [[354, 1, 0], [5, 261, 1], [3, 1, 174]], * Val accuracy / confusion: 55.77% / [[151, 48, 31], [67, 79, 29], [23, 32, 60]] ------------------------------ Epoch 725 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.010375 - Iter 024 / 025, Loss: 0.002304 * Train accuracy / confusion: 98.38% / [[351, 3, 2], [5, 261, 1], [2, 0, 175]], * Val accuracy / confusion: 54.23% / [[146, 47, 37], [66, 77, 32], [26, 30, 59]] ------------------------------ Epoch 726 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005542 - Iter 024 / 025, Loss: 0.016916 * Train accuracy / confusion: 98.88% / [[349, 4, 3], [1, 266, 1], [0, 0, 176]], * Val accuracy / confusion: 54.81% / [[147, 42, 41], [62, 73, 40], [25, 25, 65]] ------------------------------ Epoch 727 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.085603 - Iter 024 / 025, Loss: 0.007762 * Train accuracy / confusion: 98.38% / [[355, 4, 2], [2, 261, 0], [3, 2, 171]], * Val accuracy / confusion: 52.12% / [[146, 41, 43], [61, 69, 45], [23, 36, 56]] ------------------------------ Epoch 728 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.110904 - Iter 024 / 025, Loss: 0.019447 * Train accuracy / confusion: 98.00% / [[347, 6, 2], [5, 263, 2], [1, 0, 174]], * Val accuracy / confusion: 54.62% / [[146, 41, 43], [64, 70, 41], [21, 26, 68]] ------------------------------ Epoch 729 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.084176 - Iter 024 / 025, Loss: 0.146614 * Train accuracy / confusion: 97.75% / [[353, 4, 1], [7, 257, 3], [2, 1, 172]], * Val accuracy / confusion: 56.35% / [[154, 48, 28], [61, 76, 38], [22, 30, 63]] ------------------------------ Epoch 730 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.021432 - Iter 024 / 025, Loss: 0.035270 * Train accuracy / confusion: 98.75% / [[353, 4, 0], [4, 259, 1], [0, 1, 178]], * Val accuracy / confusion: 53.85% / [[143, 49, 38], [64, 75, 36], [24, 29, 62]] ------------------------------ Epoch 731 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.079771 - Iter 024 / 025, Loss: 0.024345 * Train accuracy / confusion: 98.50% / [[354, 3, 1], [4, 261, 0], [3, 1, 173]], * Val accuracy / confusion: 53.27% / [[150, 47, 33], [65, 68, 42], [23, 33, 59]] ------------------------------ Epoch 732 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.011785 - Iter 024 / 025, Loss: 0.003288 * Train accuracy / confusion: 98.62% / [[353, 2, 0], [5, 260, 2], [2, 0, 176]], * Val accuracy / confusion: 54.42% / [[149, 44, 37], [59, 68, 48], [18, 31, 66]] ------------------------------ Epoch 733 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.010650 - Iter 024 / 025, Loss: 0.088906 * Train accuracy / confusion: 98.25% / [[348, 2, 1], [6, 263, 3], [1, 1, 175]], * Val accuracy / confusion: 55.96% / [[157, 37, 36], [62, 68, 45], [24, 25, 66]] ------------------------------ Epoch 734 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.009471 - Iter 024 / 025, Loss: 0.017004 * Train accuracy / confusion: 98.38% / [[353, 3, 0], [4, 259, 2], [1, 3, 175]], * Val accuracy / confusion: 56.35% / [[156, 36, 38], [68, 71, 36], [21, 28, 66]] ------------------------------ Epoch 735 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.056982 - Iter 024 / 025, Loss: 0.077703 * Train accuracy / confusion: 98.00% / [[346, 5, 3], [5, 264, 1], [1, 1, 174]], * Val accuracy / confusion: 54.23% / [[145, 48, 37], [55, 79, 41], [22, 35, 58]] ------------------------------ Epoch 736 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.064987 - Iter 024 / 025, Loss: 0.040376 * Train accuracy / confusion: 97.75% / [[347, 4, 1], [7, 258, 3], [0, 3, 177]], * Val accuracy / confusion: 56.15% / [[148, 44, 38], [63, 73, 39], [20, 24, 71]] ------------------------------ Epoch 737 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.024388 - Iter 024 / 025, Loss: 0.217079 * Train accuracy / confusion: 98.12% / [[353, 2, 0], [7, 259, 3], [0, 3, 173]], * Val accuracy / confusion: 56.35% / [[149, 47, 34], [64, 81, 30], [20, 32, 63]] ------------------------------ Epoch 738 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.008548 - Iter 024 / 025, Loss: 0.042838 * Train accuracy / confusion: 98.25% / [[347, 7, 1], [4, 262, 1], [0, 1, 177]], * Val accuracy / confusion: 58.08% / [[158, 41, 31], [64, 74, 37], [19, 26, 70]] ------------------------------ Epoch 739 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.036081 - Iter 024 / 025, Loss: 0.090141 * Train accuracy / confusion: 97.50% / [[347, 5, 5], [5, 263, 0], [1, 4, 170]], * Val accuracy / confusion: 56.35% / [[162, 39, 29], [68, 74, 33], [25, 33, 57]] ------------------------------ Epoch 740 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.075754 - Iter 024 / 025, Loss: 0.014364 * Train accuracy / confusion: 97.75% / [[348, 4, 1], [8, 260, 2], [2, 1, 174]], * Val accuracy / confusion: 55.96% / [[150, 46, 34], [60, 78, 37], [22, 30, 63]] ------------------------------ Epoch 741 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.029057 - Iter 024 / 025, Loss: 0.053011 * Train accuracy / confusion: 97.88% / [[346, 4, 1], [7, 264, 1], [4, 0, 173]], * Val accuracy / confusion: 55.19% / [[158, 40, 32], [68, 72, 35], [24, 34, 57]] ------------------------------ Epoch 742 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.015274 - Iter 024 / 025, Loss: 0.007129 * Train accuracy / confusion: 98.75% / [[352, 2, 0], [5, 262, 2], [0, 1, 176]], * Val accuracy / confusion: 56.15% / [[151, 41, 38], [64, 73, 38], [21, 26, 68]] ------------------------------ Epoch 743 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.048973 - Iter 024 / 025, Loss: 0.106857 * Train accuracy / confusion: 98.12% / [[353, 4, 1], [5, 257, 4], [0, 1, 175]], * Val accuracy / confusion: 58.65% / [[152, 46, 32], [62, 85, 28], [18, 29, 68]] ------------------------------ Epoch 744 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.045909 - Iter 024 / 025, Loss: 0.021331 * Train accuracy / confusion: 97.88% / [[353, 5, 0], [5, 256, 2], [1, 4, 174]], * Val accuracy / confusion: 57.50% / [[151, 46, 33], [56, 82, 37], [17, 32, 66]] ------------------------------ Epoch 745 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.011944 - Iter 024 / 025, Loss: 0.068548 * Train accuracy / confusion: 98.50% / [[355, 5, 0], [4, 261, 2], [0, 1, 172]], * Val accuracy / confusion: 55.58% / [[151, 50, 29], [59, 74, 42], [20, 31, 64]] ------------------------------ Epoch 746 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.109344 - Iter 024 / 025, Loss: 0.019342 * Train accuracy / confusion: 98.00% / [[351, 3, 2], [3, 262, 4], [2, 2, 171]], * Val accuracy / confusion: 57.12% / [[162, 42, 26], [68, 71, 36], [23, 28, 64]] ------------------------------ Epoch 747 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.012010 - Iter 024 / 025, Loss: 0.182991 * Train accuracy / confusion: 98.12% / [[348, 5, 1], [4, 262, 2], [2, 1, 175]], * Val accuracy / confusion: 55.58% / [[156, 40, 34], [70, 66, 39], [22, 26, 67]] ------------------------------ Epoch 748 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.009710 - Iter 024 / 025, Loss: 0.003784 * Train accuracy / confusion: 98.25% / [[354, 2, 0], [6, 259, 2], [0, 4, 173]], * Val accuracy / confusion: 59.04% / [[161, 42, 27], [57, 78, 40], [21, 26, 68]] ------------------------------ Epoch 749 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.073897 - Iter 024 / 025, Loss: 0.009564 * Train accuracy / confusion: 98.12% / [[350, 5, 2], [3, 263, 3], [1, 1, 172]], * Val accuracy / confusion: 57.69% / [[159, 42, 29], [64, 71, 40], [18, 27, 70]] ------------------------------ Epoch 750 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005326 - Iter 024 / 025, Loss: 0.037881 * Train accuracy / confusion: 97.62% / [[346, 4, 1], [9, 262, 3], [0, 2, 173]], * Val accuracy / confusion: 56.92% / [[157, 37, 36], [60, 72, 43], [16, 32, 67]] ------------------------------ Epoch 751 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.008630 - Iter 024 / 025, Loss: 0.098575 * Train accuracy / confusion: 97.88% / [[353, 4, 1], [3, 262, 2], [1, 6, 168]], * Val accuracy / confusion: 57.12% / [[155, 43, 32], [61, 78, 36], [22, 29, 64]] ------------------------------ Epoch 752 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.002871 - Iter 024 / 025, Loss: 0.005440 * Train accuracy / confusion: 98.62% / [[347, 5, 0], [3, 267, 0], [2, 1, 175]], * Val accuracy / confusion: 54.62% / [[154, 40, 36], [65, 69, 41], [26, 28, 61]] ------------------------------ Epoch 753 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.009267 - Iter 024 / 025, Loss: 0.034270 * Train accuracy / confusion: 98.50% / [[358, 2, 0], [4, 259, 2], [1, 3, 171]], * Val accuracy / confusion: 56.73% / [[151, 38, 41], [58, 80, 37], [22, 29, 64]] ------------------------------ Epoch 754 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.006041 - Iter 024 / 025, Loss: 0.007723 * Train accuracy / confusion: 99.12% / [[354, 3, 1], [2, 266, 0], [0, 1, 173]], * Val accuracy / confusion: 56.92% / [[156, 37, 37], [70, 76, 29], [18, 33, 64]] ------------------------------ Epoch 755 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.023120 - Iter 024 / 025, Loss: 0.002866 * Train accuracy / confusion: 98.62% / [[350, 5, 1], [3, 267, 0], [1, 1, 172]], * Val accuracy / confusion: 55.77% / [[148, 40, 42], [68, 83, 24], [23, 33, 59]] ------------------------------ Epoch 756 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.098467 - Iter 024 / 025, Loss: 0.004580 * Train accuracy / confusion: 99.00% / [[352, 2, 0], [3, 262, 2], [0, 1, 178]], * Val accuracy / confusion: 56.15% / [[160, 33, 37], [64, 68, 43], [20, 31, 64]] ------------------------------ Epoch 757 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.151425 - Iter 024 / 025, Loss: 0.037576 * Train accuracy / confusion: 98.38% / [[357, 3, 0], [6, 255, 0], [2, 2, 175]], * Val accuracy / confusion: 54.42% / [[151, 42, 37], [70, 70, 35], [21, 32, 62]] ------------------------------ Epoch 758 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.075699 - Iter 024 / 025, Loss: 0.004203 * Train accuracy / confusion: 98.25% / [[355, 2, 1], [6, 260, 2], [1, 2, 171]], * Val accuracy / confusion: 56.92% / [[159, 31, 40], [64, 73, 38], [24, 27, 64]] ------------------------------ Epoch 759 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005084 - Iter 024 / 025, Loss: 0.028575 * Train accuracy / confusion: 97.38% / [[344, 6, 2], [7, 261, 3], [2, 1, 174]], * Val accuracy / confusion: 58.27% / [[157, 45, 28], [58, 78, 39], [24, 23, 68]] ------------------------------ Epoch 760 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.001863 - Iter 024 / 025, Loss: 0.023930 * Train accuracy / confusion: 97.88% / [[351, 7, 2], [4, 259, 4], [0, 0, 173]], * Val accuracy / confusion: 57.12% / [[156, 38, 36], [63, 79, 33], [18, 35, 62]] ------------------------------ Epoch 761 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.102036 - Iter 024 / 025, Loss: 0.026551 * Train accuracy / confusion: 98.25% / [[352, 2, 1], [8, 260, 1], [1, 1, 174]], * Val accuracy / confusion: 54.81% / [[159, 35, 36], [72, 70, 33], [22, 37, 56]] ------------------------------ Epoch 762 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.017808 - Iter 024 / 025, Loss: 0.008840 * Train accuracy / confusion: 98.88% / [[354, 3, 1], [2, 262, 0], [0, 3, 175]], * Val accuracy / confusion: 55.77% / [[160, 36, 34], [76, 72, 27], [25, 32, 58]] ------------------------------ Epoch 763 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005385 - Iter 024 / 025, Loss: 0.036261 * Train accuracy / confusion: 98.00% / [[353, 2, 1], [7, 259, 2], [2, 2, 172]], * Val accuracy / confusion: 55.96% / [[156, 37, 37], [62, 71, 42], [15, 36, 64]] ------------------------------ Epoch 764 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005270 - Iter 024 / 025, Loss: 0.015254 * Train accuracy / confusion: 99.25% / [[357, 1, 1], [3, 263, 0], [1, 0, 174]], * Val accuracy / confusion: 56.15% / [[149, 45, 36], [61, 75, 39], [17, 30, 68]] ------------------------------ Epoch 765 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.013199 - Iter 024 / 025, Loss: 0.021304 * Train accuracy / confusion: 99.12% / [[358, 3, 0], [1, 263, 1], [1, 1, 172]], * Val accuracy / confusion: 55.38% / [[145, 46, 39], [63, 75, 37], [17, 30, 68]] ------------------------------ Epoch 766 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.050644 - Iter 024 / 025, Loss: 0.002274 * Train accuracy / confusion: 98.00% / [[354, 1, 2], [6, 257, 2], [3, 2, 173]], * Val accuracy / confusion: 55.58% / [[155, 40, 35], [66, 72, 37], [19, 34, 62]] ------------------------------ Epoch 767 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.018501 - Iter 024 / 025, Loss: 0.085017 * Train accuracy / confusion: 98.38% / [[348, 5, 0], [5, 261, 2], [1, 0, 178]], * Val accuracy / confusion: 55.96% / [[152, 38, 40], [64, 74, 37], [19, 31, 65]] ------------------------------ Epoch 768 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.138369 - Iter 024 / 025, Loss: 0.033256 * Train accuracy / confusion: 97.88% / [[354, 4, 0], [6, 258, 3], [3, 1, 171]], * Val accuracy / confusion: 56.15% / [[155, 39, 36], [66, 73, 36], [19, 32, 64]] ------------------------------ Epoch 769 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.017301 - Iter 024 / 025, Loss: 0.019577 * Train accuracy / confusion: 98.38% / [[350, 0, 3], [7, 260, 2], [0, 1, 177]], * Val accuracy / confusion: 53.85% / [[146, 42, 42], [62, 72, 41], [19, 34, 62]] ------------------------------ Epoch 770 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005123 - Iter 024 / 025, Loss: 0.047181 * Train accuracy / confusion: 98.00% / [[355, 3, 2], [5, 262, 0], [1, 5, 167]], * Val accuracy / confusion: 55.19% / [[157, 39, 34], [70, 72, 33], [22, 35, 58]] ------------------------------ Epoch 771 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.036798 - Iter 024 / 025, Loss: 0.044767 * Train accuracy / confusion: 98.62% / [[351, 2, 1], [6, 261, 1], [0, 1, 177]], * Val accuracy / confusion: 55.38% / [[151, 47, 32], [65, 74, 36], [17, 35, 63]] ------------------------------ Epoch 772 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.008059 - Iter 024 / 025, Loss: 0.032103 * Train accuracy / confusion: 97.50% / [[353, 7, 1], [9, 257, 1], [2, 0, 170]], * Val accuracy / confusion: 53.65% / [[145, 48, 37], [60, 73, 42], [20, 34, 61]] ------------------------------ Epoch 773 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.056850 - Iter 024 / 025, Loss: 0.059317 * Train accuracy / confusion: 98.75% / [[350, 3, 1], [4, 264, 2], [0, 0, 176]], * Val accuracy / confusion: 55.77% / [[156, 47, 27], [67, 73, 35], [21, 33, 61]] ------------------------------ Epoch 774 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.066974 - Iter 024 / 025, Loss: 0.024445 * Train accuracy / confusion: 98.62% / [[351, 4, 3], [3, 263, 0], [0, 1, 175]], * Val accuracy / confusion: 57.12% / [[156, 43, 31], [55, 73, 47], [14, 33, 68]] ------------------------------ Epoch 775 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.026115 - Iter 024 / 025, Loss: 0.021087 * Train accuracy / confusion: 97.75% / [[352, 2, 1], [9, 260, 0], [3, 3, 170]], * Val accuracy / confusion: 56.54% / [[159, 45, 26], [69, 73, 33], [20, 33, 62]] ------------------------------ Epoch 776 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.090164 - Iter 024 / 025, Loss: 0.014835 * Train accuracy / confusion: 98.62% / [[355, 1, 1], [6, 259, 1], [1, 1, 175]], * Val accuracy / confusion: 58.46% / [[160, 40, 30], [61, 85, 29], [20, 36, 59]] ------------------------------ Epoch 777 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.003622 - Iter 024 / 025, Loss: 0.013242 * Train accuracy / confusion: 98.25% / [[351, 3, 5], [3, 263, 1], [2, 0, 172]], * Val accuracy / confusion: 58.27% / [[163, 33, 34], [72, 71, 32], [23, 23, 69]] ------------------------------ Epoch 778 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.012743 - Iter 024 / 025, Loss: 0.134991 * Train accuracy / confusion: 98.38% / [[359, 2, 1], [3, 259, 2], [1, 4, 169]], * Val accuracy / confusion: 57.50% / [[154, 41, 35], [61, 82, 32], [23, 29, 63]] ------------------------------ Epoch 779 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.018339 - Iter 024 / 025, Loss: 0.028375 * Train accuracy / confusion: 97.88% / [[350, 7, 1], [3, 265, 0], [3, 3, 168]], * Val accuracy / confusion: 56.92% / [[150, 43, 37], [56, 79, 40], [19, 29, 67]] ------------------------------ Epoch 780 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.351770 - Iter 024 / 025, Loss: 0.064162 * Train accuracy / confusion: 97.62% / [[349, 2, 1], [12, 257, 1], [1, 2, 175]], * Val accuracy / confusion: 54.62% / [[143, 54, 33], [65, 73, 37], [22, 25, 68]] ------------------------------ Epoch 781 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.218450 - Iter 024 / 025, Loss: 0.012467 * Train accuracy / confusion: 96.88% / [[352, 8, 2], [6, 258, 1], [4, 4, 165]], * Val accuracy / confusion: 58.27% / [[151, 45, 34], [55, 85, 35], [20, 28, 67]] ------------------------------ Epoch 782 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.156194 - Iter 024 / 025, Loss: 0.014135 * Train accuracy / confusion: 98.62% / [[356, 2, 1], [6, 260, 2], [0, 0, 173]], * Val accuracy / confusion: 58.27% / [[156, 37, 37], [62, 77, 36], [22, 23, 70]] ------------------------------ Epoch 783 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.002987 - Iter 024 / 025, Loss: 0.089109 * Train accuracy / confusion: 97.88% / [[349, 5, 2], [6, 260, 2], [1, 1, 174]], * Val accuracy / confusion: 58.08% / [[155, 36, 39], [67, 75, 33], [18, 25, 72]] ------------------------------ Epoch 784 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.002681 - Iter 024 / 025, Loss: 0.023597 * Train accuracy / confusion: 99.50% / [[353, 1, 0], [1, 269, 1], [1, 0, 174]], * Val accuracy / confusion: 58.85% / [[161, 43, 26], [61, 81, 33], [21, 30, 64]] ------------------------------ Epoch 785 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005359 - Iter 024 / 025, Loss: 0.015236 * Train accuracy / confusion: 99.00% / [[357, 2, 1], [3, 263, 2], [0, 0, 172]], * Val accuracy / confusion: 56.54% / [[145, 50, 35], [61, 84, 30], [19, 31, 65]] ------------------------------ Epoch 786 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.063309 - Iter 024 / 025, Loss: 0.073852 * Train accuracy / confusion: 97.38% / [[349, 5, 1], [10, 256, 2], [1, 2, 174]], * Val accuracy / confusion: 52.31% / [[131, 65, 34], [56, 83, 36], [20, 37, 58]] ------------------------------ Epoch 787 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.034720 - Iter 024 / 025, Loss: 0.057812 * Train accuracy / confusion: 98.50% / [[347, 6, 0], [3, 264, 0], [0, 3, 177]], * Val accuracy / confusion: 57.12% / [[151, 47, 32], [58, 85, 32], [20, 34, 61]] ------------------------------ Epoch 788 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.065039 - Iter 024 / 025, Loss: 0.093931 * Train accuracy / confusion: 98.62% / [[354, 3, 0], [4, 260, 4], [0, 0, 175]], * Val accuracy / confusion: 57.12% / [[154, 46, 30], [67, 81, 27], [16, 37, 62]] ------------------------------ Epoch 789 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.056415 - Iter 024 / 025, Loss: 0.089628 * Train accuracy / confusion: 98.50% / [[350, 5, 0], [5, 259, 2], [0, 0, 179]], * Val accuracy / confusion: 57.12% / [[158, 40, 32], [61, 76, 38], [21, 31, 63]] ------------------------------ Epoch 790 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.069323 - Iter 024 / 025, Loss: 0.059143 * Train accuracy / confusion: 97.50% / [[344, 9, 1], [3, 265, 1], [4, 2, 171]], * Val accuracy / confusion: 56.35% / [[154, 39, 37], [70, 73, 32], [20, 29, 66]] ------------------------------ Epoch 791 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.051218 - Iter 024 / 025, Loss: 0.012888 * Train accuracy / confusion: 99.00% / [[352, 3, 0], [4, 267, 0], [0, 1, 173]], * Val accuracy / confusion: 55.38% / [[159, 48, 23], [74, 69, 32], [23, 32, 60]] ------------------------------ Epoch 792 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005674 - Iter 024 / 025, Loss: 0.025383 * Train accuracy / confusion: 98.75% / [[357, 2, 1], [3, 264, 0], [2, 2, 169]], * Val accuracy / confusion: 52.50% / [[140, 53, 37], [70, 72, 33], [21, 33, 61]] ------------------------------ Epoch 793 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.004413 - Iter 024 / 025, Loss: 0.101590 * Train accuracy / confusion: 98.75% / [[353, 1, 0], [5, 263, 2], [1, 1, 174]], * Val accuracy / confusion: 56.54% / [[149, 41, 40], [67, 73, 35], [16, 27, 72]] ------------------------------ Epoch 794 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.091453 - Iter 024 / 025, Loss: 0.042686 * Train accuracy / confusion: 98.12% / [[349, 4, 1], [9, 259, 1], [0, 0, 177]], * Val accuracy / confusion: 57.31% / [[158, 32, 40], [64, 78, 33], [16, 37, 62]] ------------------------------ Epoch 795 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.017388 - Iter 024 / 025, Loss: 0.069653 * Train accuracy / confusion: 98.50% / [[351, 5, 0], [2, 265, 2], [2, 1, 172]], * Val accuracy / confusion: 56.15% / [[149, 49, 32], [60, 84, 31], [15, 41, 59]] ------------------------------ Epoch 796 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.142483 - Iter 024 / 025, Loss: 0.021347 * Train accuracy / confusion: 98.50% / [[350, 3, 1], [4, 264, 1], [1, 2, 174]], * Val accuracy / confusion: 56.73% / [[151, 36, 43], [61, 74, 40], [17, 28, 70]] ------------------------------ Epoch 797 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.035793 - Iter 024 / 025, Loss: 0.007867 * Train accuracy / confusion: 97.50% / [[349, 5, 3], [7, 259, 2], [1, 2, 172]], * Val accuracy / confusion: 57.50% / [[153, 46, 31], [54, 81, 40], [10, 40, 65]] ------------------------------ Epoch 798 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.004012 - Iter 024 / 025, Loss: 0.040674 * Train accuracy / confusion: 99.00% / [[353, 1, 2], [3, 265, 1], [0, 1, 174]], * Val accuracy / confusion: 56.73% / [[154, 41, 35], [61, 79, 35], [21, 32, 62]] ------------------------------ Epoch 799 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.057125 - Iter 024 / 025, Loss: 0.082587 * Train accuracy / confusion: 98.62% / [[353, 2, 1], [4, 260, 2], [1, 1, 176]], * Val accuracy / confusion: 57.12% / [[156, 36, 38], [62, 75, 38], [21, 28, 66]] ------------------------------ Epoch 800 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.054165 - Iter 024 / 025, Loss: 0.017139 * Train accuracy / confusion: 98.38% / [[351, 4, 2], [3, 261, 2], [1, 1, 175]], * Val accuracy / confusion: 55.96% / [[158, 34, 38], [78, 69, 28], [24, 27, 64]] ------------------------------ Epoch 801 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.020243 - Iter 024 / 025, Loss: 0.014480 * Train accuracy / confusion: 98.25% / [[347, 4, 2], [2, 263, 3], [2, 1, 176]], * Val accuracy / confusion: 56.92% / [[157, 41, 32], [65, 78, 32], [18, 36, 61]] ------------------------------ Epoch 802 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.021062 - Iter 024 / 025, Loss: 0.010982 * Train accuracy / confusion: 99.12% / [[355, 2, 0], [3, 267, 1], [0, 1, 171]], * Val accuracy / confusion: 58.65% / [[160, 36, 34], [59, 79, 37], [24, 25, 66]] ------------------------------ Epoch 803 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.011585 - Iter 024 / 025, Loss: 0.032787 * Train accuracy / confusion: 98.50% / [[354, 5, 1], [6, 258, 0], [0, 0, 176]], * Val accuracy / confusion: 54.42% / [[146, 50, 34], [66, 73, 36], [19, 32, 64]] ------------------------------ Epoch 804 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.007449 - Iter 024 / 025, Loss: 0.018378 * Train accuracy / confusion: 99.12% / [[355, 2, 0], [3, 261, 2], [0, 0, 177]], * Val accuracy / confusion: 55.00% / [[148, 52, 30], [65, 81, 29], [22, 36, 57]] ------------------------------ Epoch 805 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.006571 - Iter 024 / 025, Loss: 0.010688 * Train accuracy / confusion: 98.00% / [[350, 5, 2], [4, 260, 1], [1, 3, 174]], * Val accuracy / confusion: 54.62% / [[145, 58, 27], [65, 81, 29], [22, 35, 58]] ------------------------------ Epoch 806 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.022149 - Iter 024 / 025, Loss: 0.089502 * Train accuracy / confusion: 98.12% / [[353, 2, 1], [9, 258, 1], [1, 1, 174]], * Val accuracy / confusion: 54.42% / [[155, 50, 25], [71, 69, 35], [25, 31, 59]] ------------------------------ Epoch 807 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.014822 - Iter 024 / 025, Loss: 0.051533 * Train accuracy / confusion: 98.12% / [[343, 8, 1], [4, 265, 1], [1, 0, 177]], * Val accuracy / confusion: 55.19% / [[150, 44, 36], [61, 77, 37], [19, 36, 60]] ------------------------------ Epoch 808 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.087286 - Iter 024 / 025, Loss: 0.019273 * Train accuracy / confusion: 98.38% / [[347, 1, 1], [6, 265, 0], [0, 5, 175]], * Val accuracy / confusion: 54.42% / [[139, 59, 32], [60, 87, 28], [20, 38, 57]] ------------------------------ Epoch 809 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.026900 - Iter 024 / 025, Loss: 0.003399 * Train accuracy / confusion: 98.62% / [[349, 0, 3], [4, 264, 1], [1, 2, 176]], * Val accuracy / confusion: 56.73% / [[152, 49, 29], [65, 78, 32], [24, 26, 65]] ------------------------------ Epoch 810 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.052324 - Iter 024 / 025, Loss: 0.201874 * Train accuracy / confusion: 98.88% / [[353, 3, 1], [2, 260, 2], [1, 0, 178]], * Val accuracy / confusion: 56.54% / [[161, 37, 32], [68, 70, 37], [22, 30, 63]] ------------------------------ Epoch 811 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.042004 - Iter 024 / 025, Loss: 0.004009 * Train accuracy / confusion: 98.25% / [[353, 5, 1], [4, 261, 2], [1, 1, 172]], * Val accuracy / confusion: 56.92% / [[165, 35, 30], [65, 69, 41], [23, 30, 62]] ------------------------------ Epoch 812 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.028283 - Iter 024 / 025, Loss: 0.085217 * Train accuracy / confusion: 98.62% / [[353, 3, 0], [5, 262, 2], [1, 0, 174]], * Val accuracy / confusion: 55.96% / [[156, 38, 36], [70, 74, 31], [20, 34, 61]] ------------------------------ Epoch 813 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.121370 - Iter 024 / 025, Loss: 0.028050 * Train accuracy / confusion: 98.62% / [[358, 2, 1], [5, 256, 1], [1, 1, 175]], * Val accuracy / confusion: 54.81% / [[148, 49, 33], [64, 83, 28], [21, 40, 54]] ------------------------------ Epoch 814 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.041319 - Iter 024 / 025, Loss: 0.008704 * Train accuracy / confusion: 98.75% / [[352, 5, 1], [2, 263, 0], [1, 1, 175]], * Val accuracy / confusion: 54.04% / [[141, 49, 40], [65, 80, 30], [20, 35, 60]] ------------------------------ Epoch 815 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.088592 - Iter 024 / 025, Loss: 0.012156 * Train accuracy / confusion: 98.38% / [[357, 2, 1], [5, 259, 2], [2, 1, 171]], * Val accuracy / confusion: 58.65% / [[153, 46, 31], [61, 87, 27], [21, 29, 65]] ------------------------------ Epoch 816 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.083513 - Iter 024 / 025, Loss: 0.055625 * Train accuracy / confusion: 98.62% / [[357, 2, 1], [5, 256, 1], [1, 1, 176]], * Val accuracy / confusion: 56.15% / [[155, 37, 38], [70, 77, 28], [18, 37, 60]] ------------------------------ Epoch 817 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.091263 - Iter 024 / 025, Loss: 0.048519 * Train accuracy / confusion: 98.62% / [[352, 2, 1], [5, 263, 1], [0, 2, 174]], * Val accuracy / confusion: 55.77% / [[147, 49, 34], [61, 79, 35], [18, 33, 64]] ------------------------------ Epoch 818 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.009559 - Iter 024 / 025, Loss: 0.011778 * Train accuracy / confusion: 98.38% / [[355, 5, 0], [3, 262, 2], [0, 3, 170]], * Val accuracy / confusion: 54.81% / [[153, 46, 31], [73, 67, 35], [18, 32, 65]] ------------------------------ Epoch 819 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.004288 - Iter 024 / 025, Loss: 0.052585 * Train accuracy / confusion: 98.75% / [[352, 2, 0], [3, 264, 1], [2, 2, 174]], * Val accuracy / confusion: 52.88% / [[151, 47, 32], [72, 67, 36], [21, 37, 57]] ------------------------------ Epoch 820 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.022760 - Iter 024 / 025, Loss: 0.023661 * Train accuracy / confusion: 98.50% / [[355, 2, 1], [4, 257, 3], [1, 1, 176]], * Val accuracy / confusion: 59.42% / [[164, 37, 29], [57, 80, 38], [17, 33, 65]] ------------------------------ Epoch 821 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.003951 - Iter 024 / 025, Loss: 0.039459 * Train accuracy / confusion: 98.38% / [[353, 4, 1], [5, 263, 1], [1, 1, 171]], * Val accuracy / confusion: 55.96% / [[151, 42, 37], [62, 74, 39], [18, 31, 66]] ------------------------------ Epoch 822 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.001610 - Iter 024 / 025, Loss: 0.166833 * Train accuracy / confusion: 98.00% / [[359, 4, 1], [6, 255, 2], [0, 3, 170]], * Val accuracy / confusion: 56.73% / [[149, 46, 35], [58, 83, 34], [26, 26, 63]] ------------------------------ Epoch 823 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.023985 - Iter 024 / 025, Loss: 0.026963 * Train accuracy / confusion: 98.50% / [[359, 2, 1], [5, 260, 1], [0, 3, 169]], * Val accuracy / confusion: 57.12% / [[151, 44, 35], [65, 81, 29], [19, 31, 65]] ------------------------------ Epoch 824 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.012197 - Iter 024 / 025, Loss: 0.002911 * Train accuracy / confusion: 98.50% / [[347, 3, 0], [4, 265, 2], [1, 2, 176]], * Val accuracy / confusion: 55.77% / [[158, 42, 30], [68, 70, 37], [21, 32, 62]] ------------------------------ Epoch 825 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.072192 - Iter 024 / 025, Loss: 0.040567 * Train accuracy / confusion: 98.75% / [[357, 0, 3], [4, 258, 0], [2, 1, 175]], * Val accuracy / confusion: 54.42% / [[151, 45, 34], [68, 71, 36], [23, 31, 61]] ------------------------------ Epoch 826 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.006875 - Iter 024 / 025, Loss: 0.074206 * Train accuracy / confusion: 99.12% / [[356, 1, 0], [2, 265, 3], [0, 1, 172]], * Val accuracy / confusion: 55.38% / [[150, 42, 38], [58, 77, 40], [21, 33, 61]] ------------------------------ Epoch 827 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.095069 - Iter 024 / 025, Loss: 0.134236 * Train accuracy / confusion: 97.88% / [[351, 3, 1], [7, 259, 2], [2, 2, 173]], * Val accuracy / confusion: 55.58% / [[149, 54, 27], [69, 84, 22], [24, 35, 56]] ------------------------------ Epoch 828 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.085747 - Iter 024 / 025, Loss: 0.235253 * Train accuracy / confusion: 98.25% / [[357, 4, 0], [6, 258, 2], [1, 1, 171]], * Val accuracy / confusion: 55.00% / [[154, 51, 25], [72, 71, 32], [23, 31, 61]] ------------------------------ Epoch 829 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.022242 - Iter 024 / 025, Loss: 0.037579 * Train accuracy / confusion: 98.38% / [[351, 4, 0], [4, 262, 1], [1, 3, 174]], * Val accuracy / confusion: 54.81% / [[158, 36, 36], [71, 66, 38], [23, 31, 61]] ------------------------------ Epoch 830 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.004409 - Iter 024 / 025, Loss: 0.010026 * Train accuracy / confusion: 99.00% / [[359, 0, 0], [4, 260, 1], [2, 1, 173]], * Val accuracy / confusion: 55.00% / [[148, 48, 34], [71, 78, 26], [25, 30, 60]] ------------------------------ Epoch 831 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.218978 - Iter 024 / 025, Loss: 0.012214 * Train accuracy / confusion: 98.50% / [[348, 3, 1], [3, 262, 4], [0, 1, 178]], * Val accuracy / confusion: 56.54% / [[148, 52, 30], [57, 81, 37], [24, 26, 65]] ------------------------------ Epoch 832 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.002618 - Iter 024 / 025, Loss: 0.011759 * Train accuracy / confusion: 98.62% / [[351, 2, 2], [4, 262, 0], [1, 2, 176]], * Val accuracy / confusion: 56.73% / [[149, 49, 32], [58, 79, 38], [18, 30, 67]] ------------------------------ Epoch 833 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.156551 - Iter 024 / 025, Loss: 0.003529 * Train accuracy / confusion: 98.88% / [[349, 5, 0], [2, 268, 0], [2, 0, 174]], * Val accuracy / confusion: 59.81% / [[162, 36, 32], [59, 86, 30], [22, 30, 63]] ------------------------------ Epoch 834 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.047263 - Iter 024 / 025, Loss: 0.096073 * Train accuracy / confusion: 98.12% / [[347, 5, 1], [3, 261, 2], [0, 4, 177]], * Val accuracy / confusion: 57.50% / [[157, 44, 29], [64, 81, 30], [23, 31, 61]] ------------------------------ Epoch 835 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.012231 - Iter 024 / 025, Loss: 0.004211 * Train accuracy / confusion: 99.12% / [[355, 0, 1], [3, 263, 2], [0, 1, 175]], * Val accuracy / confusion: 56.35% / [[159, 38, 33], [62, 74, 39], [20, 35, 60]] ------------------------------ Epoch 836 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.029017 - Iter 024 / 025, Loss: 0.027508 * Train accuracy / confusion: 98.38% / [[352, 2, 0], [6, 261, 2], [1, 2, 174]], * Val accuracy / confusion: 56.35% / [[158, 35, 37], [69, 76, 30], [23, 33, 59]] ------------------------------ Epoch 837 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.103977 - Iter 024 / 025, Loss: 0.044845 * Train accuracy / confusion: 98.75% / [[350, 2, 3], [4, 260, 1], [0, 0, 180]], * Val accuracy / confusion: 57.69% / [[161, 41, 28], [66, 77, 32], [23, 30, 62]] ------------------------------ Epoch 838 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.054728 - Iter 024 / 025, Loss: 0.086038 * Train accuracy / confusion: 98.25% / [[346, 5, 1], [4, 264, 1], [2, 1, 176]], * Val accuracy / confusion: 56.54% / [[150, 46, 34], [62, 80, 33], [18, 33, 64]] ------------------------------ Epoch 839 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.002680 - Iter 024 / 025, Loss: 0.001785 * Train accuracy / confusion: 98.50% / [[355, 3, 1], [5, 263, 1], [2, 0, 170]], * Val accuracy / confusion: 54.04% / [[148, 49, 33], [60, 75, 40], [25, 32, 58]] ------------------------------ Epoch 840 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.075549 - Iter 024 / 025, Loss: 0.023371 * Train accuracy / confusion: 97.88% / [[356, 5, 3], [7, 254, 1], [1, 0, 173]], * Val accuracy / confusion: 55.00% / [[148, 44, 38], [60, 74, 41], [15, 36, 64]] ------------------------------ Epoch 841 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.088413 - Iter 024 / 025, Loss: 0.058198 * Train accuracy / confusion: 98.00% / [[351, 5, 2], [4, 263, 2], [1, 2, 170]], * Val accuracy / confusion: 55.00% / [[147, 41, 42], [57, 70, 48], [16, 30, 69]] ------------------------------ Epoch 842 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.045672 - Iter 024 / 025, Loss: 0.026281 * Train accuracy / confusion: 98.75% / [[353, 0, 2], [5, 261, 1], [1, 1, 176]], * Val accuracy / confusion: 55.38% / [[159, 40, 31], [69, 71, 35], [28, 29, 58]] ------------------------------ Epoch 843 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.023453 - Iter 024 / 025, Loss: 0.027179 * Train accuracy / confusion: 98.38% / [[353, 2, 2], [3, 259, 5], [0, 1, 175]], * Val accuracy / confusion: 53.85% / [[150, 45, 35], [60, 69, 46], [20, 34, 61]] ------------------------------ Epoch 844 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.009748 - Iter 024 / 025, Loss: 0.021622 * Train accuracy / confusion: 99.12% / [[353, 1, 0], [4, 266, 0], [1, 1, 174]], * Val accuracy / confusion: 55.00% / [[154, 41, 35], [69, 76, 30], [24, 35, 56]] ------------------------------ Epoch 845 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.088194 - Iter 024 / 025, Loss: 0.091248 * Train accuracy / confusion: 98.50% / [[349, 3, 0], [2, 263, 4], [1, 2, 176]], * Val accuracy / confusion: 54.23% / [[143, 62, 25], [60, 83, 32], [22, 37, 56]] ------------------------------ Epoch 846 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.006994 - Iter 024 / 025, Loss: 0.077324 * Train accuracy / confusion: 98.38% / [[347, 5, 1], [5, 267, 1], [0, 1, 173]], * Val accuracy / confusion: 55.77% / [[150, 51, 29], [52, 81, 42], [21, 35, 59]] ------------------------------ Epoch 847 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.029819 - Iter 024 / 025, Loss: 0.152986 * Train accuracy / confusion: 97.75% / [[346, 5, 1], [7, 261, 3], [0, 2, 175]], * Val accuracy / confusion: 55.77% / [[157, 42, 31], [61, 70, 44], [22, 30, 63]] ------------------------------ Epoch 848 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.077981 - Iter 024 / 025, Loss: 0.091407 * Train accuracy / confusion: 98.12% / [[354, 1, 0], [7, 261, 2], [2, 3, 170]], * Val accuracy / confusion: 52.31% / [[148, 54, 28], [78, 66, 31], [27, 30, 58]] ------------------------------ Epoch 849 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.055357 - Iter 024 / 025, Loss: 0.009946 * Train accuracy / confusion: 98.62% / [[350, 3, 0], [4, 261, 2], [0, 2, 178]], * Val accuracy / confusion: 55.58% / [[162, 41, 27], [70, 65, 40], [24, 29, 62]] ------------------------------ Epoch 850 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.138813 - Iter 024 / 025, Loss: 0.027997 * Train accuracy / confusion: 98.50% / [[347, 4, 2], [5, 264, 0], [0, 1, 177]], * Val accuracy / confusion: 54.42% / [[149, 42, 39], [60, 73, 42], [23, 31, 61]] ------------------------------ Epoch 851 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.413770 - Iter 024 / 025, Loss: 0.001900 * Train accuracy / confusion: 99.25% / [[354, 3, 0], [3, 263, 0], [0, 0, 177]], * Val accuracy / confusion: 57.50% / [[162, 45, 23], [62, 71, 42], [19, 30, 66]] ------------------------------ Epoch 852 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.028930 - Iter 024 / 025, Loss: 0.123542 * Train accuracy / confusion: 97.12% / [[344, 8, 1], [7, 261, 3], [2, 2, 172]], * Val accuracy / confusion: 56.92% / [[159, 37, 34], [64, 76, 35], [23, 31, 61]] ------------------------------ Epoch 853 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.033870 - Iter 024 / 025, Loss: 0.005069 * Train accuracy / confusion: 98.62% / [[353, 6, 0], [4, 262, 1], [0, 0, 174]], * Val accuracy / confusion: 54.23% / [[143, 49, 38], [63, 77, 35], [19, 34, 62]] ------------------------------ Epoch 854 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.117594 - Iter 024 / 025, Loss: 0.014348 * Train accuracy / confusion: 98.00% / [[349, 4, 1], [5, 261, 3], [1, 2, 174]], * Val accuracy / confusion: 55.19% / [[152, 42, 36], [63, 76, 36], [18, 38, 59]] ------------------------------ Epoch 855 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.007976 - Iter 024 / 025, Loss: 0.018345 * Train accuracy / confusion: 99.38% / [[357, 2, 1], [1, 265, 1], [0, 0, 173]], * Val accuracy / confusion: 56.73% / [[151, 41, 38], [62, 80, 33], [18, 33, 64]] ------------------------------ Epoch 856 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005792 - Iter 024 / 025, Loss: 0.043244 * Train accuracy / confusion: 98.12% / [[351, 4, 1], [8, 259, 1], [0, 1, 175]], * Val accuracy / confusion: 55.00% / [[148, 36, 46], [63, 72, 40], [22, 27, 66]] ------------------------------ Epoch 857 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.038434 - Iter 024 / 025, Loss: 0.044134 * Train accuracy / confusion: 98.88% / [[346, 3, 0], [6, 266, 0], [0, 0, 179]], * Val accuracy / confusion: 55.58% / [[145, 47, 38], [57, 79, 39], [16, 34, 65]] ------------------------------ Epoch 858 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.003253 - Iter 024 / 025, Loss: 0.003517 * Train accuracy / confusion: 98.75% / [[350, 7, 0], [2, 264, 1], [0, 0, 176]], * Val accuracy / confusion: 56.35% / [[149, 47, 34], [56, 80, 39], [23, 28, 64]] ------------------------------ Epoch 859 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005024 - Iter 024 / 025, Loss: 0.015600 * Train accuracy / confusion: 98.38% / [[354, 7, 0], [5, 262, 0], [1, 0, 171]], * Val accuracy / confusion: 57.31% / [[154, 45, 31], [55, 79, 41], [24, 26, 65]] ------------------------------ Epoch 860 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.013686 - Iter 024 / 025, Loss: 0.022421 * Train accuracy / confusion: 99.12% / [[354, 1, 1], [2, 267, 1], [1, 1, 172]], * Val accuracy / confusion: 59.23% / [[159, 40, 31], [58, 85, 32], [16, 35, 64]] ------------------------------ Epoch 861 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.033792 - Iter 024 / 025, Loss: 0.051555 * Train accuracy / confusion: 98.38% / [[349, 5, 0], [4, 262, 3], [1, 0, 176]], * Val accuracy / confusion: 57.50% / [[156, 35, 39], [62, 81, 32], [20, 33, 62]] ------------------------------ Epoch 862 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.051320 - Iter 024 / 025, Loss: 0.040859 * Train accuracy / confusion: 98.50% / [[358, 2, 1], [5, 260, 1], [1, 2, 170]], * Val accuracy / confusion: 59.81% / [[164, 34, 32], [58, 84, 33], [18, 34, 63]] ------------------------------ Epoch 863 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.007074 - Iter 024 / 025, Loss: 0.013357 * Train accuracy / confusion: 98.62% / [[350, 1, 0], [6, 262, 3], [0, 1, 177]], * Val accuracy / confusion: 55.38% / [[159, 37, 34], [70, 69, 36], [23, 32, 60]] ------------------------------ Epoch 864 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005942 - Iter 024 / 025, Loss: 0.081540 * Train accuracy / confusion: 98.75% / [[347, 4, 1], [3, 265, 0], [1, 1, 178]], * Val accuracy / confusion: 57.50% / [[165, 45, 20], [63, 77, 35], [24, 34, 57]] ------------------------------ Epoch 865 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.004030 - Iter 024 / 025, Loss: 0.008800 * Train accuracy / confusion: 98.50% / [[345, 5, 2], [5, 264, 0], [0, 0, 179]], * Val accuracy / confusion: 56.15% / [[151, 53, 26], [61, 78, 36], [17, 35, 63]] ------------------------------ Epoch 866 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.022419 - Iter 024 / 025, Loss: 0.013726 * Train accuracy / confusion: 98.88% / [[356, 1, 0], [5, 262, 1], [2, 0, 173]], * Val accuracy / confusion: 58.46% / [[154, 42, 34], [50, 87, 38], [19, 33, 63]] ------------------------------ Epoch 867 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016858 - Iter 024 / 025, Loss: 0.031603 * Train accuracy / confusion: 98.75% / [[353, 0, 1], [4, 264, 1], [0, 4, 173]], * Val accuracy / confusion: 56.73% / [[150, 47, 33], [65, 78, 32], [20, 28, 67]] ------------------------------ Epoch 868 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.009405 - Iter 024 / 025, Loss: 0.012561 * Train accuracy / confusion: 98.75% / [[352, 1, 2], [4, 262, 2], [0, 1, 176]], * Val accuracy / confusion: 54.04% / [[141, 56, 33], [68, 75, 32], [20, 30, 65]] ------------------------------ Epoch 869 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.015075 - Iter 024 / 025, Loss: 0.053810 * Train accuracy / confusion: 98.25% / [[349, 4, 0], [6, 262, 2], [1, 1, 175]], * Val accuracy / confusion: 55.58% / [[151, 40, 39], [60, 77, 38], [18, 36, 61]] ------------------------------ Epoch 870 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.075448 - Iter 024 / 025, Loss: 0.005924 * Train accuracy / confusion: 97.88% / [[351, 5, 1], [6, 260, 2], [2, 1, 172]], * Val accuracy / confusion: 57.69% / [[154, 43, 33], [56, 79, 40], [21, 27, 67]] ------------------------------ Epoch 871 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.100918 - Iter 024 / 025, Loss: 0.073740 * Train accuracy / confusion: 98.50% / [[353, 5, 0], [4, 259, 2], [0, 1, 176]], * Val accuracy / confusion: 56.54% / [[160, 38, 32], [64, 72, 39], [22, 31, 62]] ------------------------------ Epoch 872 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.045873 - Iter 024 / 025, Loss: 0.025101 * Train accuracy / confusion: 97.75% / [[351, 3, 2], [6, 260, 2], [2, 3, 171]], * Val accuracy / confusion: 55.19% / [[157, 40, 33], [69, 73, 33], [26, 32, 57]] ------------------------------ Epoch 873 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.073463 - Iter 024 / 025, Loss: 0.052959 * Train accuracy / confusion: 98.62% / [[356, 4, 0], [2, 258, 4], [1, 0, 175]], * Val accuracy / confusion: 56.35% / [[165, 33, 32], [70, 67, 38], [26, 28, 61]] ------------------------------ Epoch 874 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.020370 - Iter 024 / 025, Loss: 0.025029 * Train accuracy / confusion: 98.38% / [[358, 2, 0], [8, 253, 0], [1, 2, 176]], * Val accuracy / confusion: 54.62% / [[158, 41, 31], [61, 72, 42], [24, 37, 54]] ------------------------------ Epoch 875 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.007417 - Iter 024 / 025, Loss: 0.002390 * Train accuracy / confusion: 98.88% / [[354, 2, 1], [3, 266, 0], [0, 3, 171]], * Val accuracy / confusion: 54.62% / [[149, 48, 33], [59, 75, 41], [19, 36, 60]] ------------------------------ Epoch 876 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.092758 - Iter 024 / 025, Loss: 0.008904 * Train accuracy / confusion: 98.75% / [[353, 3, 3], [2, 270, 0], [1, 1, 167]], * Val accuracy / confusion: 56.92% / [[153, 50, 27], [62, 79, 34], [19, 32, 64]] ------------------------------ Epoch 877 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.029262 - Iter 024 / 025, Loss: 0.003843 * Train accuracy / confusion: 98.88% / [[357, 3, 0], [3, 260, 2], [0, 1, 174]], * Val accuracy / confusion: 55.38% / [[150, 47, 33], [67, 70, 38], [22, 25, 68]] ------------------------------ Epoch 878 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.003141 - Iter 024 / 025, Loss: 0.019931 * Train accuracy / confusion: 99.00% / [[354, 3, 0], [3, 263, 1], [0, 1, 175]], * Val accuracy / confusion: 56.73% / [[158, 40, 32], [62, 73, 40], [22, 29, 64]] ------------------------------ Epoch 879 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.012109 - Iter 024 / 025, Loss: 0.009721 * Train accuracy / confusion: 99.12% / [[353, 2, 0], [2, 265, 0], [3, 0, 175]], * Val accuracy / confusion: 55.00% / [[158, 41, 31], [68, 68, 39], [24, 31, 60]] ------------------------------ Epoch 880 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.006154 - Iter 024 / 025, Loss: 0.014878 * Train accuracy / confusion: 98.12% / [[348, 4, 0], [7, 263, 1], [1, 2, 174]], * Val accuracy / confusion: 56.54% / [[158, 42, 30], [61, 75, 39], [19, 35, 61]] ------------------------------ Epoch 881 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.031265 - Iter 024 / 025, Loss: 0.005083 * Train accuracy / confusion: 98.25% / [[355, 6, 0], [2, 261, 3], [1, 2, 170]], * Val accuracy / confusion: 57.12% / [[156, 41, 33], [67, 74, 34], [24, 24, 67]] ------------------------------ Epoch 882 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.022315 - Iter 024 / 025, Loss: 0.042009 * Train accuracy / confusion: 97.75% / [[348, 4, 3], [7, 261, 3], [1, 0, 173]], * Val accuracy / confusion: 57.31% / [[158, 34, 38], [60, 70, 45], [18, 27, 70]] ------------------------------ Epoch 883 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.008498 - Iter 024 / 025, Loss: 0.004638 * Train accuracy / confusion: 98.75% / [[352, 2, 0], [4, 263, 0], [3, 1, 175]], * Val accuracy / confusion: 56.92% / [[160, 33, 37], [67, 68, 40], [17, 30, 68]] ------------------------------ Epoch 884 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.009119 - Iter 024 / 025, Loss: 0.002321 * Train accuracy / confusion: 99.25% / [[353, 1, 0], [3, 265, 1], [0, 1, 176]], * Val accuracy / confusion: 56.73% / [[147, 49, 34], [50, 89, 36], [20, 36, 59]] ------------------------------ Epoch 885 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.018151 - Iter 024 / 025, Loss: 0.025379 * Train accuracy / confusion: 98.88% / [[355, 1, 1], [6, 263, 0], [0, 1, 173]], * Val accuracy / confusion: 54.81% / [[155, 50, 25], [60, 78, 37], [23, 40, 52]] ------------------------------ Epoch 886 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.010940 - Iter 024 / 025, Loss: 0.003167 * Train accuracy / confusion: 99.38% / [[352, 1, 2], [0, 268, 0], [1, 1, 175]], * Val accuracy / confusion: 56.92% / [[157, 41, 32], [57, 80, 38], [21, 35, 59]] ------------------------------ Epoch 887 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.045738 - Iter 024 / 025, Loss: 0.042232 * Train accuracy / confusion: 98.75% / [[351, 3, 0], [4, 266, 1], [1, 1, 173]], * Val accuracy / confusion: 54.81% / [[148, 50, 32], [63, 78, 34], [20, 36, 59]] ------------------------------ Epoch 888 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.035946 - Iter 024 / 025, Loss: 0.022794 * Train accuracy / confusion: 99.25% / [[351, 2, 0], [0, 268, 1], [1, 2, 175]], * Val accuracy / confusion: 56.73% / [[155, 40, 35], [70, 75, 30], [18, 32, 65]] ------------------------------ Epoch 889 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.020483 - Iter 024 / 025, Loss: 0.003058 * Train accuracy / confusion: 98.88% / [[348, 4, 1], [3, 264, 0], [0, 1, 179]], * Val accuracy / confusion: 57.88% / [[165, 37, 28], [64, 72, 39], [23, 28, 64]] ------------------------------ Epoch 890 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.050783 - Iter 024 / 025, Loss: 0.063375 * Train accuracy / confusion: 98.25% / [[347, 3, 3], [3, 265, 1], [3, 1, 174]], * Val accuracy / confusion: 56.92% / [[152, 45, 33], [59, 82, 34], [22, 31, 62]] ------------------------------ Epoch 891 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.020922 - Iter 024 / 025, Loss: 0.102284 * Train accuracy / confusion: 99.00% / [[349, 3, 0], [4, 267, 1], [0, 0, 176]], * Val accuracy / confusion: 57.88% / [[156, 43, 31], [61, 77, 37], [17, 30, 68]] ------------------------------ Epoch 892 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.002816 - Iter 024 / 025, Loss: 0.003101 * Train accuracy / confusion: 98.75% / [[352, 0, 4], [2, 266, 1], [2, 1, 172]], * Val accuracy / confusion: 57.50% / [[149, 48, 33], [54, 86, 35], [20, 31, 64]] ------------------------------ Epoch 893 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.068923 - Iter 024 / 025, Loss: 0.002041 * Train accuracy / confusion: 99.00% / [[354, 2, 0], [1, 266, 1], [2, 2, 172]], * Val accuracy / confusion: 58.27% / [[159, 39, 32], [63, 78, 34], [22, 27, 66]] ------------------------------ Epoch 894 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.025245 - Iter 024 / 025, Loss: 0.011198 * Train accuracy / confusion: 98.75% / [[359, 0, 2], [5, 258, 0], [0, 3, 173]], * Val accuracy / confusion: 54.81% / [[148, 45, 37], [69, 72, 34], [17, 33, 65]] ------------------------------ Epoch 895 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.028287 - Iter 024 / 025, Loss: 0.019803 * Train accuracy / confusion: 98.00% / [[350, 6, 1], [3, 257, 3], [1, 2, 177]], * Val accuracy / confusion: 54.42% / [[148, 45, 37], [63, 68, 44], [21, 27, 67]] ------------------------------ Epoch 896 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.004171 - Iter 024 / 025, Loss: 0.002145 * Train accuracy / confusion: 99.00% / [[350, 2, 0], [4, 264, 0], [0, 2, 178]], * Val accuracy / confusion: 56.73% / [[156, 47, 27], [58, 81, 36], [17, 40, 58]] ------------------------------ Epoch 897 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.011871 - Iter 024 / 025, Loss: 0.054927 * Train accuracy / confusion: 98.88% / [[357, 2, 2], [3, 263, 1], [0, 1, 171]], * Val accuracy / confusion: 57.50% / [[151, 49, 30], [61, 78, 36], [20, 25, 70]] ------------------------------ Epoch 898 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.002347 - Iter 024 / 025, Loss: 0.019255 * Train accuracy / confusion: 98.38% / [[350, 4, 1], [6, 263, 1], [1, 0, 174]], * Val accuracy / confusion: 54.81% / [[144, 50, 36], [56, 74, 45], [19, 29, 67]] ------------------------------ Epoch 899 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.003237 - Iter 024 / 025, Loss: 0.011818 * Train accuracy / confusion: 98.50% / [[349, 4, 1], [4, 265, 1], [1, 1, 174]], * Val accuracy / confusion: 58.08% / [[157, 41, 32], [65, 75, 35], [20, 25, 70]] ------------------------------ Epoch 900 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.028485 - Iter 024 / 025, Loss: 0.054439 * Train accuracy / confusion: 98.50% / [[356, 0, 0], [7, 260, 1], [4, 0, 172]], * Val accuracy / confusion: 58.65% / [[161, 46, 23], [67, 78, 30], [20, 29, 66]] ------------------------------ Epoch 901 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.019096 - Iter 024 / 025, Loss: 0.011873 * Train accuracy / confusion: 98.50% / [[353, 2, 2], [6, 265, 1], [0, 1, 170]], * Val accuracy / confusion: 54.23% / [[147, 52, 31], [65, 73, 37], [18, 35, 62]] ------------------------------ Epoch 902 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.142256 - Iter 024 / 025, Loss: 0.006921 * Train accuracy / confusion: 97.50% / [[348, 5, 3], [7, 263, 2], [1, 2, 169]], * Val accuracy / confusion: 54.23% / [[141, 54, 35], [55, 79, 41], [23, 30, 62]] ------------------------------ Epoch 903 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.155400 - Iter 024 / 025, Loss: 0.034514 * Train accuracy / confusion: 98.50% / [[356, 6, 0], [6, 255, 0], [0, 0, 177]], * Val accuracy / confusion: 57.31% / [[160, 35, 35], [61, 73, 41], [21, 29, 65]] ------------------------------ Epoch 904 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005748 - Iter 024 / 025, Loss: 0.180646 * Train accuracy / confusion: 98.50% / [[352, 2, 2], [5, 261, 2], [1, 0, 175]], * Val accuracy / confusion: 55.19% / [[156, 41, 33], [65, 64, 46], [22, 26, 67]] ------------------------------ Epoch 905 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.013878 - Iter 024 / 025, Loss: 0.051148 * Train accuracy / confusion: 98.25% / [[353, 3, 0], [4, 263, 1], [3, 3, 170]], * Val accuracy / confusion: 56.15% / [[160, 38, 32], [62, 73, 40], [20, 36, 59]] ------------------------------ Epoch 906 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.008760 - Iter 024 / 025, Loss: 0.009186 * Train accuracy / confusion: 98.62% / [[354, 5, 0], [5, 261, 0], [1, 0, 174]], * Val accuracy / confusion: 56.92% / [[161, 32, 37], [65, 74, 36], [23, 31, 61]] ------------------------------ Epoch 907 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.027274 - Iter 024 / 025, Loss: 0.204608 * Train accuracy / confusion: 98.25% / [[356, 4, 1], [3, 256, 3], [1, 2, 174]], * Val accuracy / confusion: 56.15% / [[151, 45, 34], [56, 77, 42], [23, 28, 64]] ------------------------------ Epoch 908 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.052870 - Iter 024 / 025, Loss: 0.038258 * Train accuracy / confusion: 98.12% / [[348, 4, 2], [3, 263, 2], [1, 3, 174]], * Val accuracy / confusion: 55.96% / [[156, 36, 38], [67, 73, 35], [28, 25, 62]] ------------------------------ Epoch 909 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.013806 - Iter 024 / 025, Loss: 0.034185 * Train accuracy / confusion: 99.12% / [[351, 2, 0], [4, 264, 0], [0, 1, 178]], * Val accuracy / confusion: 55.38% / [[157, 40, 33], [64, 78, 33], [26, 36, 53]] ------------------------------ Epoch 910 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016518 - Iter 024 / 025, Loss: 0.013968 * Train accuracy / confusion: 98.38% / [[350, 4, 1], [6, 260, 1], [0, 1, 177]], * Val accuracy / confusion: 54.62% / [[156, 47, 27], [65, 72, 38], [27, 32, 56]] ------------------------------ Epoch 911 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.188213 - Iter 024 / 025, Loss: 0.011316 * Train accuracy / confusion: 98.25% / [[349, 1, 3], [6, 261, 2], [1, 1, 176]], * Val accuracy / confusion: 60.00% / [[165, 36, 29], [59, 79, 37], [22, 25, 68]] ------------------------------ Epoch 912 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.007192 - Iter 024 / 025, Loss: 0.044439 * Train accuracy / confusion: 98.00% / [[354, 6, 0], [4, 262, 3], [2, 1, 168]], * Val accuracy / confusion: 53.65% / [[149, 39, 42], [68, 65, 42], [20, 30, 65]] ------------------------------ Epoch 913 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016057 - Iter 024 / 025, Loss: 0.165949 * Train accuracy / confusion: 98.88% / [[353, 2, 0], [4, 262, 1], [1, 1, 176]], * Val accuracy / confusion: 55.58% / [[146, 50, 34], [56, 77, 42], [19, 30, 66]] ------------------------------ Epoch 914 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.036628 - Iter 024 / 025, Loss: 0.192264 * Train accuracy / confusion: 97.25% / [[352, 9, 1], [3, 258, 3], [3, 3, 168]], * Val accuracy / confusion: 55.38% / [[150, 37, 43], [63, 68, 44], [20, 25, 70]] ------------------------------ Epoch 915 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.123091 - Iter 024 / 025, Loss: 0.002178 * Train accuracy / confusion: 98.50% / [[359, 4, 1], [4, 257, 1], [1, 1, 172]], * Val accuracy / confusion: 55.38% / [[148, 51, 31], [61, 77, 37], [18, 34, 63]] ------------------------------ Epoch 916 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.020467 - Iter 024 / 025, Loss: 0.020237 * Train accuracy / confusion: 98.75% / [[355, 1, 0], [4, 257, 3], [1, 1, 178]], * Val accuracy / confusion: 57.69% / [[158, 35, 37], [62, 79, 34], [26, 26, 63]] ------------------------------ Epoch 917 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.004986 - Iter 024 / 025, Loss: 0.046036 * Train accuracy / confusion: 98.50% / [[355, 3, 2], [5, 259, 1], [1, 0, 174]], * Val accuracy / confusion: 58.27% / [[160, 42, 28], [58, 76, 41], [19, 29, 67]] ------------------------------ Epoch 918 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.012915 - Iter 024 / 025, Loss: 0.010516 * Train accuracy / confusion: 98.88% / [[352, 5, 0], [4, 261, 0], [0, 0, 178]], * Val accuracy / confusion: 57.50% / [[147, 49, 34], [55, 82, 38], [21, 24, 70]] ------------------------------ Epoch 919 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.015716 - Iter 024 / 025, Loss: 0.011229 * Train accuracy / confusion: 99.12% / [[352, 2, 0], [3, 266, 2], [0, 0, 175]], * Val accuracy / confusion: 56.92% / [[155, 40, 35], [61, 71, 43], [24, 21, 70]] ------------------------------ Epoch 920 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.011175 - Iter 024 / 025, Loss: 0.006643 * Train accuracy / confusion: 99.62% / [[356, 0, 0], [3, 267, 0], [0, 0, 174]], * Val accuracy / confusion: 57.31% / [[166, 34, 30], [70, 67, 38], [23, 27, 65]] ------------------------------ Epoch 921 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.096098 - Iter 024 / 025, Loss: 0.022168 * Train accuracy / confusion: 98.62% / [[344, 5, 2], [4, 268, 0], [0, 0, 177]], * Val accuracy / confusion: 58.85% / [[164, 40, 26], [58, 74, 43], [20, 27, 68]] ------------------------------ Epoch 922 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.022119 - Iter 024 / 025, Loss: 0.008203 * Train accuracy / confusion: 98.38% / [[347, 5, 1], [4, 265, 0], [2, 1, 175]], * Val accuracy / confusion: 58.08% / [[155, 51, 24], [60, 86, 29], [24, 30, 61]] ------------------------------ Epoch 923 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.003374 - Iter 024 / 025, Loss: 0.003919 * Train accuracy / confusion: 98.25% / [[354, 3, 0], [7, 258, 1], [3, 0, 174]], * Val accuracy / confusion: 55.58% / [[160, 36, 34], [63, 65, 47], [21, 30, 64]] ------------------------------ Epoch 924 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.007417 - Iter 024 / 025, Loss: 0.214902 * Train accuracy / confusion: 98.38% / [[357, 3, 1], [6, 257, 2], [0, 1, 173]], * Val accuracy / confusion: 55.38% / [[161, 35, 34], [68, 63, 44], [24, 27, 64]] ------------------------------ Epoch 925 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.015393 - Iter 024 / 025, Loss: 0.005730 * Train accuracy / confusion: 99.50% / [[355, 1, 1], [0, 264, 2], [0, 0, 177]], * Val accuracy / confusion: 56.15% / [[156, 42, 32], [65, 71, 39], [18, 32, 65]] ------------------------------ Epoch 926 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.061305 - Iter 024 / 025, Loss: 0.005773 * Train accuracy / confusion: 98.50% / [[355, 3, 0], [5, 256, 1], [1, 2, 177]], * Val accuracy / confusion: 55.19% / [[153, 43, 34], [69, 73, 33], [23, 31, 61]] ------------------------------ Epoch 927 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.085855 - Iter 024 / 025, Loss: 0.160977 * Train accuracy / confusion: 98.00% / [[350, 4, 1], [4, 263, 4], [2, 1, 171]], * Val accuracy / confusion: 54.81% / [[158, 45, 27], [74, 66, 35], [25, 29, 61]] ------------------------------ Epoch 928 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.033720 - Iter 024 / 025, Loss: 0.073302 * Train accuracy / confusion: 98.12% / [[351, 5, 0], [6, 261, 2], [1, 1, 173]], * Val accuracy / confusion: 55.77% / [[156, 33, 41], [61, 72, 42], [23, 30, 62]] ------------------------------ Epoch 929 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.009256 - Iter 024 / 025, Loss: 0.132080 * Train accuracy / confusion: 98.62% / [[355, 4, 0], [4, 257, 1], [2, 0, 177]], * Val accuracy / confusion: 58.85% / [[159, 36, 35], [63, 81, 31], [21, 28, 66]] ------------------------------ Epoch 930 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.156021 - Iter 024 / 025, Loss: 0.055007 * Train accuracy / confusion: 98.38% / [[352, 1, 2], [2, 265, 1], [5, 2, 170]], * Val accuracy / confusion: 57.88% / [[161, 33, 36], [63, 77, 35], [23, 29, 63]] ------------------------------ Epoch 931 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.128722 - Iter 024 / 025, Loss: 0.020408 * Train accuracy / confusion: 99.00% / [[351, 3, 0], [3, 267, 0], [1, 1, 174]], * Val accuracy / confusion: 57.69% / [[157, 40, 33], [62, 78, 35], [17, 33, 65]] ------------------------------ Epoch 932 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.039147 - Iter 024 / 025, Loss: 0.028160 * Train accuracy / confusion: 98.88% / [[351, 2, 1], [2, 265, 1], [3, 0, 175]], * Val accuracy / confusion: 57.31% / [[157, 37, 36], [56, 77, 42], [19, 32, 64]] ------------------------------ Epoch 933 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.004396 - Iter 024 / 025, Loss: 0.010520 * Train accuracy / confusion: 99.00% / [[357, 3, 1], [3, 260, 1], [0, 0, 175]], * Val accuracy / confusion: 55.58% / [[151, 49, 30], [56, 75, 44], [19, 33, 63]] ------------------------------ Epoch 934 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.013577 - Iter 024 / 025, Loss: 0.099101 * Train accuracy / confusion: 98.75% / [[354, 1, 1], [6, 263, 1], [1, 0, 173]], * Val accuracy / confusion: 56.35% / [[157, 42, 31], [57, 72, 46], [20, 31, 64]] ------------------------------ Epoch 935 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.051274 - Iter 024 / 025, Loss: 0.020984 * Train accuracy / confusion: 98.62% / [[352, 3, 0], [7, 261, 0], [1, 0, 176]], * Val accuracy / confusion: 56.54% / [[161, 37, 32], [69, 71, 35], [21, 32, 62]] ------------------------------ Epoch 936 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.045799 - Iter 024 / 025, Loss: 0.029721 * Train accuracy / confusion: 99.00% / [[354, 0, 2], [3, 266, 2], [1, 0, 172]], * Val accuracy / confusion: 55.96% / [[153, 48, 29], [59, 74, 42], [20, 31, 64]] ------------------------------ Epoch 937 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.030418 - Iter 024 / 025, Loss: 0.016219 * Train accuracy / confusion: 98.38% / [[354, 1, 1], [8, 258, 1], [1, 1, 175]], * Val accuracy / confusion: 58.65% / [[152, 49, 29], [58, 83, 34], [20, 25, 70]] ------------------------------ Epoch 938 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.106126 - Iter 024 / 025, Loss: 0.111372 * Train accuracy / confusion: 98.75% / [[355, 2, 2], [4, 265, 1], [1, 0, 170]], * Val accuracy / confusion: 54.81% / [[155, 43, 32], [66, 75, 34], [23, 37, 55]] ------------------------------ Epoch 939 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.179584 - Iter 024 / 025, Loss: 0.058554 * Train accuracy / confusion: 98.50% / [[350, 5, 0], [4, 263, 0], [1, 2, 175]], * Val accuracy / confusion: 54.81% / [[152, 45, 33], [60, 77, 38], [23, 36, 56]] ------------------------------ Epoch 940 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016588 - Iter 024 / 025, Loss: 0.107548 * Train accuracy / confusion: 98.38% / [[351, 5, 1], [2, 269, 1], [3, 1, 167]], * Val accuracy / confusion: 53.85% / [[143, 52, 35], [61, 75, 39], [20, 33, 62]] ------------------------------ Epoch 941 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.004215 - Iter 024 / 025, Loss: 0.302006 * Train accuracy / confusion: 98.50% / [[353, 3, 0], [4, 260, 1], [2, 2, 175]], * Val accuracy / confusion: 55.96% / [[155, 41, 34], [64, 74, 37], [28, 25, 62]] ------------------------------ Epoch 942 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.007646 - Iter 024 / 025, Loss: 0.010584 * Train accuracy / confusion: 99.00% / [[354, 2, 3], [1, 263, 0], [1, 1, 175]], * Val accuracy / confusion: 56.92% / [[160, 34, 36], [66, 73, 36], [23, 29, 63]] ------------------------------ Epoch 943 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.031234 - Iter 024 / 025, Loss: 0.141587 * Train accuracy / confusion: 98.25% / [[349, 6, 0], [4, 260, 1], [2, 1, 177]], * Val accuracy / confusion: 55.00% / [[147, 48, 35], [61, 80, 34], [23, 33, 59]] ------------------------------ Epoch 944 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.066760 - Iter 024 / 025, Loss: 0.006989 * Train accuracy / confusion: 99.00% / [[353, 5, 0], [3, 264, 0], [0, 0, 175]], * Val accuracy / confusion: 57.50% / [[156, 42, 32], [57, 79, 39], [17, 34, 64]] ------------------------------ Epoch 945 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.006101 - Iter 024 / 025, Loss: 0.005136 * Train accuracy / confusion: 98.88% / [[354, 0, 0], [3, 263, 1], [3, 2, 174]], * Val accuracy / confusion: 58.46% / [[165, 39, 26], [65, 77, 33], [23, 30, 62]] ------------------------------ Epoch 946 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.080658 - Iter 024 / 025, Loss: 0.007228 * Train accuracy / confusion: 97.62% / [[347, 5, 0], [7, 261, 2], [2, 3, 173]], * Val accuracy / confusion: 58.27% / [[164, 40, 26], [61, 76, 38], [15, 37, 63]] ------------------------------ Epoch 947 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.039647 - Iter 024 / 025, Loss: 0.031707 * Train accuracy / confusion: 98.75% / [[350, 3, 2], [4, 265, 1], [0, 0, 175]], * Val accuracy / confusion: 54.23% / [[157, 40, 33], [69, 61, 45], [16, 35, 64]] ------------------------------ Epoch 948 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.015577 - Iter 024 / 025, Loss: 0.105657 * Train accuracy / confusion: 98.25% / [[351, 2, 3], [2, 264, 3], [1, 3, 171]], * Val accuracy / confusion: 56.54% / [[156, 33, 41], [59, 71, 45], [19, 29, 67]] ------------------------------ Epoch 949 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.057683 - Iter 024 / 025, Loss: 0.001800 * Train accuracy / confusion: 98.88% / [[354, 2, 0], [4, 265, 1], [1, 1, 172]], * Val accuracy / confusion: 55.38% / [[152, 39, 39], [59, 70, 46], [22, 27, 66]] ------------------------------ Epoch 950 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.079660 - Iter 024 / 025, Loss: 0.006573 * Train accuracy / confusion: 98.88% / [[359, 1, 1], [1, 263, 0], [3, 3, 169]], * Val accuracy / confusion: 56.92% / [[165, 36, 29], [61, 68, 46], [20, 32, 63]] ------------------------------ Epoch 951 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.011765 - Iter 024 / 025, Loss: 0.003032 * Train accuracy / confusion: 98.75% / [[352, 3, 0], [3, 264, 2], [0, 2, 174]], * Val accuracy / confusion: 58.65% / [[159, 45, 26], [59, 79, 37], [18, 30, 67]] ------------------------------ Epoch 952 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.065454 - Iter 024 / 025, Loss: 0.088499 * Train accuracy / confusion: 98.50% / [[355, 0, 4], [5, 260, 0], [0, 3, 173]], * Val accuracy / confusion: 54.81% / [[145, 45, 40], [56, 73, 46], [18, 30, 67]] ------------------------------ Epoch 953 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.006435 - Iter 024 / 025, Loss: 0.028278 * Train accuracy / confusion: 98.38% / [[354, 2, 1], [3, 262, 1], [3, 3, 171]], * Val accuracy / confusion: 55.19% / [[142, 52, 36], [66, 73, 36], [17, 26, 72]] ------------------------------ Epoch 954 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.068716 - Iter 024 / 025, Loss: 0.069467 * Train accuracy / confusion: 97.88% / [[351, 6, 2], [4, 259, 2], [3, 0, 173]], * Val accuracy / confusion: 55.77% / [[156, 40, 34], [72, 60, 43], [16, 25, 74]] ------------------------------ Epoch 955 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.006684 - Iter 024 / 025, Loss: 0.001001 * Train accuracy / confusion: 98.88% / [[354, 2, 1], [3, 263, 2], [0, 1, 174]], * Val accuracy / confusion: 56.73% / [[152, 43, 35], [58, 78, 39], [15, 35, 65]] ------------------------------ Epoch 956 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.034047 - Iter 024 / 025, Loss: 0.121607 * Train accuracy / confusion: 99.00% / [[351, 3, 0], [3, 264, 0], [1, 1, 177]], * Val accuracy / confusion: 58.65% / [[159, 39, 32], [57, 77, 41], [15, 31, 69]] ------------------------------ Epoch 957 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.029797 - Iter 024 / 025, Loss: 0.009198 * Train accuracy / confusion: 98.75% / [[358, 3, 1], [3, 263, 2], [0, 1, 169]], * Val accuracy / confusion: 55.19% / [[155, 34, 41], [64, 67, 44], [17, 33, 65]] ------------------------------ Epoch 958 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.022967 - Iter 024 / 025, Loss: 0.002924 * Train accuracy / confusion: 99.25% / [[354, 0, 0], [5, 263, 1], [0, 0, 177]], * Val accuracy / confusion: 55.00% / [[152, 48, 30], [72, 69, 34], [15, 35, 65]] ------------------------------ Epoch 959 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005193 - Iter 024 / 025, Loss: 0.058125 * Train accuracy / confusion: 98.38% / [[351, 2, 1], [7, 261, 1], [0, 2, 175]], * Val accuracy / confusion: 57.88% / [[157, 42, 31], [51, 81, 43], [19, 33, 63]] ------------------------------ Epoch 960 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.044717 - Iter 024 / 025, Loss: 0.005724 * Train accuracy / confusion: 98.50% / [[346, 2, 3], [3, 267, 0], [3, 1, 175]], * Val accuracy / confusion: 55.96% / [[142, 56, 32], [52, 78, 45], [16, 28, 71]] ------------------------------ Epoch 961 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.014914 - Iter 024 / 025, Loss: 0.092555 * Train accuracy / confusion: 98.75% / [[350, 2, 0], [5, 263, 1], [1, 1, 177]], * Val accuracy / confusion: 56.54% / [[157, 39, 34], [65, 69, 41], [20, 27, 68]] ------------------------------ Epoch 962 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005452 - Iter 024 / 025, Loss: 0.009318 * Train accuracy / confusion: 99.38% / [[356, 1, 1], [0, 266, 0], [0, 3, 173]], * Val accuracy / confusion: 57.12% / [[158, 35, 37], [67, 73, 35], [23, 26, 66]] ------------------------------ Epoch 963 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.041925 - Iter 024 / 025, Loss: 0.006533 * Train accuracy / confusion: 98.38% / [[354, 4, 0], [7, 261, 0], [2, 0, 172]], * Val accuracy / confusion: 56.15% / [[158, 39, 33], [66, 68, 41], [18, 31, 66]] ------------------------------ Epoch 964 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.052877 - Iter 024 / 025, Loss: 0.010382 * Train accuracy / confusion: 98.62% / [[350, 5, 1], [4, 264, 0], [1, 0, 175]], * Val accuracy / confusion: 56.54% / [[156, 35, 39], [64, 70, 41], [16, 31, 68]] ------------------------------ Epoch 965 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.031439 - Iter 024 / 025, Loss: 0.055684 * Train accuracy / confusion: 99.00% / [[354, 1, 0], [3, 264, 2], [1, 1, 174]], * Val accuracy / confusion: 57.12% / [[161, 34, 35], [63, 71, 41], [20, 30, 65]] ------------------------------ Epoch 966 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.003178 - Iter 024 / 025, Loss: 0.002798 * Train accuracy / confusion: 98.75% / [[356, 3, 1], [3, 261, 1], [1, 1, 173]], * Val accuracy / confusion: 56.73% / [[145, 52, 33], [57, 89, 29], [18, 36, 61]] ------------------------------ Epoch 967 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.009473 - Iter 024 / 025, Loss: 0.091650 * Train accuracy / confusion: 99.00% / [[357, 3, 0], [1, 262, 2], [1, 1, 173]], * Val accuracy / confusion: 55.96% / [[151, 55, 24], [61, 79, 35], [19, 35, 61]] ------------------------------ Epoch 968 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.013310 - Iter 024 / 025, Loss: 0.074474 * Train accuracy / confusion: 99.00% / [[354, 2, 1], [5, 264, 0], [0, 0, 174]], * Val accuracy / confusion: 56.54% / [[149, 40, 41], [66, 74, 35], [18, 26, 71]] ------------------------------ Epoch 969 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.036352 - Iter 024 / 025, Loss: 0.087020 * Train accuracy / confusion: 98.62% / [[352, 3, 1], [4, 262, 2], [1, 0, 175]], * Val accuracy / confusion: 57.31% / [[156, 36, 38], [59, 76, 40], [16, 33, 66]] ------------------------------ Epoch 970 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.006135 - Iter 024 / 025, Loss: 0.015059 * Train accuracy / confusion: 99.00% / [[354, 2, 0], [2, 262, 2], [0, 2, 176]], * Val accuracy / confusion: 55.58% / [[156, 40, 34], [66, 74, 35], [18, 38, 59]] ------------------------------ Epoch 971 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.110279 - Iter 024 / 025, Loss: 0.008557 * Train accuracy / confusion: 99.00% / [[359, 4, 0], [2, 261, 1], [0, 1, 172]], * Val accuracy / confusion: 54.23% / [[149, 41, 40], [66, 72, 37], [19, 35, 61]] ------------------------------ Epoch 972 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.015141 - Iter 024 / 025, Loss: 0.007052 * Train accuracy / confusion: 98.75% / [[354, 1, 1], [4, 262, 2], [1, 1, 174]], * Val accuracy / confusion: 55.96% / [[159, 35, 36], [62, 70, 43], [15, 38, 62]] ------------------------------ Epoch 973 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.011572 - Iter 024 / 025, Loss: 0.020409 * Train accuracy / confusion: 99.00% / [[349, 1, 1], [3, 267, 1], [1, 1, 176]], * Val accuracy / confusion: 56.15% / [[158, 40, 32], [59, 77, 39], [17, 41, 57]] ------------------------------ Epoch 974 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.097936 - Iter 024 / 025, Loss: 0.007257 * Train accuracy / confusion: 97.38% / [[356, 4, 0], [5, 251, 8], [0, 4, 172]], * Val accuracy / confusion: 55.19% / [[154, 39, 37], [64, 74, 37], [18, 38, 59]] ------------------------------ Epoch 975 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.018997 - Iter 024 / 025, Loss: 0.031938 * Train accuracy / confusion: 98.75% / [[354, 2, 1], [3, 261, 2], [2, 0, 175]], * Val accuracy / confusion: 55.19% / [[146, 41, 43], [59, 80, 36], [18, 36, 61]] ------------------------------ Epoch 976 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.008211 - Iter 024 / 025, Loss: 0.006389 * Train accuracy / confusion: 99.62% / [[359, 2, 0], [1, 262, 0], [0, 0, 176]], * Val accuracy / confusion: 52.88% / [[142, 44, 44], [62, 77, 36], [21, 38, 56]] ------------------------------ Epoch 977 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.066230 - Iter 024 / 025, Loss: 0.017851 * Train accuracy / confusion: 98.00% / [[353, 1, 2], [7, 258, 1], [3, 2, 173]], * Val accuracy / confusion: 56.54% / [[153, 42, 35], [54, 74, 47], [15, 33, 67]] ------------------------------ Epoch 978 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.308833 - Iter 024 / 025, Loss: 0.071344 * Train accuracy / confusion: 98.12% / [[356, 3, 1], [5, 259, 1], [3, 2, 170]], * Val accuracy / confusion: 57.31% / [[163, 29, 38], [71, 70, 34], [14, 36, 65]] ------------------------------ Epoch 979 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.009895 - Iter 024 / 025, Loss: 0.002572 * Train accuracy / confusion: 98.88% / [[352, 3, 1], [1, 264, 1], [0, 3, 175]], * Val accuracy / confusion: 58.65% / [[160, 36, 34], [59, 83, 33], [17, 36, 62]] ------------------------------ Epoch 980 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.006522 - Iter 024 / 025, Loss: 0.050563 * Train accuracy / confusion: 98.75% / [[355, 2, 1], [2, 263, 2], [1, 2, 172]], * Val accuracy / confusion: 54.81% / [[147, 45, 38], [67, 70, 38], [15, 32, 68]] ------------------------------ Epoch 981 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.013471 - Iter 024 / 025, Loss: 0.021339 * Train accuracy / confusion: 98.75% / [[350, 3, 4], [3, 266, 0], [0, 0, 174]], * Val accuracy / confusion: 57.31% / [[151, 43, 36], [54, 82, 39], [13, 37, 65]] ------------------------------ Epoch 982 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.002116 - Iter 024 / 025, Loss: 0.020745 * Train accuracy / confusion: 98.62% / [[359, 0, 1], [5, 259, 2], [2, 1, 171]], * Val accuracy / confusion: 57.69% / [[157, 38, 35], [65, 78, 32], [20, 30, 65]] ------------------------------ Epoch 983 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.073330 - Iter 024 / 025, Loss: 0.003776 * Train accuracy / confusion: 98.50% / [[352, 5, 0], [7, 263, 0], [0, 0, 173]], * Val accuracy / confusion: 56.35% / [[159, 34, 37], [63, 71, 41], [16, 36, 63]] ------------------------------ Epoch 984 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.054395 - Iter 024 / 025, Loss: 0.021465 * Train accuracy / confusion: 98.62% / [[353, 4, 0], [4, 264, 1], [1, 1, 172]], * Val accuracy / confusion: 57.69% / [[160, 34, 36], [64, 75, 36], [22, 28, 65]] ------------------------------ Epoch 985 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016257 - Iter 024 / 025, Loss: 0.003127 * Train accuracy / confusion: 99.12% / [[357, 1, 1], [1, 262, 1], [1, 2, 174]], * Val accuracy / confusion: 58.08% / [[160, 35, 35], [56, 79, 40], [16, 36, 63]] ------------------------------ Epoch 986 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.007661 - Iter 024 / 025, Loss: 0.025911 * Train accuracy / confusion: 99.25% / [[356, 0, 1], [4, 263, 1], [0, 0, 175]], * Val accuracy / confusion: 53.08% / [[144, 51, 35], [64, 71, 40], [17, 37, 61]] ------------------------------ Epoch 987 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.026132 - Iter 024 / 025, Loss: 0.198313 * Train accuracy / confusion: 98.50% / [[356, 2, 2], [5, 258, 1], [2, 0, 174]], * Val accuracy / confusion: 57.88% / [[152, 44, 34], [55, 79, 41], [17, 28, 70]] ------------------------------ Epoch 988 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.010996 - Iter 024 / 025, Loss: 0.081282 * Train accuracy / confusion: 97.88% / [[350, 4, 1], [6, 258, 2], [2, 2, 175]], * Val accuracy / confusion: 57.69% / [[162, 32, 36], [66, 76, 33], [15, 38, 62]] ------------------------------ Epoch 989 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.013036 - Iter 024 / 025, Loss: 0.049132 * Train accuracy / confusion: 98.62% / [[350, 2, 1], [4, 262, 3], [0, 1, 177]], * Val accuracy / confusion: 55.58% / [[153, 43, 34], [63, 68, 44], [14, 33, 68]] ------------------------------ Epoch 990 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.138114 - Iter 024 / 025, Loss: 0.005423 * Train accuracy / confusion: 99.12% / [[353, 2, 2], [1, 267, 1], [0, 1, 173]], * Val accuracy / confusion: 55.96% / [[161, 35, 34], [69, 67, 39], [19, 33, 63]] ------------------------------ Epoch 991 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.106331 - Iter 024 / 025, Loss: 0.008011 * Train accuracy / confusion: 98.50% / [[348, 6, 1], [4, 267, 0], [1, 0, 173]], * Val accuracy / confusion: 57.31% / [[167, 35, 28], [72, 71, 32], [21, 34, 60]] ------------------------------ Epoch 992 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.014660 - Iter 024 / 025, Loss: 0.001979 * Train accuracy / confusion: 99.12% / [[353, 2, 0], [1, 265, 2], [0, 2, 175]], * Val accuracy / confusion: 57.31% / [[154, 46, 30], [65, 80, 30], [17, 34, 64]] ------------------------------ Epoch 993 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.055131 - Iter 024 / 025, Loss: 0.010339 * Train accuracy / confusion: 98.25% / [[354, 1, 1], [7, 260, 2], [1, 2, 172]], * Val accuracy / confusion: 56.54% / [[160, 41, 29], [55, 83, 37], [22, 42, 51]] ------------------------------ Epoch 994 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.009993 - Iter 024 / 025, Loss: 0.001185 * Train accuracy / confusion: 98.75% / [[351, 3, 0], [4, 264, 2], [0, 1, 175]], * Val accuracy / confusion: 56.15% / [[153, 41, 36], [67, 77, 31], [21, 32, 62]] ------------------------------ Epoch 995 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.011872 - Iter 024 / 025, Loss: 0.024095 * Train accuracy / confusion: 99.00% / [[351, 3, 0], [3, 265, 2], [0, 0, 176]], * Val accuracy / confusion: 56.15% / [[156, 40, 34], [64, 77, 34], [24, 32, 59]] ------------------------------ Epoch 996 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.026910 - Iter 024 / 025, Loss: 0.035848 * Train accuracy / confusion: 98.62% / [[356, 3, 1], [5, 260, 0], [0, 2, 173]], * Val accuracy / confusion: 55.00% / [[154, 40, 36], [65, 73, 37], [22, 34, 59]] ------------------------------ Epoch 997 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.124449 - Iter 024 / 025, Loss: 0.002600 * Train accuracy / confusion: 98.38% / [[354, 4, 1], [2, 260, 2], [3, 1, 173]], * Val accuracy / confusion: 57.69% / [[160, 38, 32], [60, 82, 33], [23, 34, 58]] ------------------------------ Epoch 998 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005959 - Iter 024 / 025, Loss: 0.064521 * Train accuracy / confusion: 99.00% / [[350, 2, 1], [2, 265, 1], [0, 2, 177]], * Val accuracy / confusion: 54.42% / [[146, 43, 41], [62, 75, 38], [22, 31, 62]] ------------------------------ Epoch 999 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.085875 - Iter 024 / 025, Loss: 0.068385 * Train accuracy / confusion: 98.50% / [[352, 2, 1], [6, 263, 0], [1, 2, 173]], * Val accuracy / confusion: 57.50% / [[160, 33, 37], [67, 79, 29], [27, 28, 60]] ------------------------------ Epoch 1000 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.045703 - Iter 024 / 025, Loss: 0.008236 * Train accuracy / confusion: 98.38% / [[359, 1, 0], [5, 258, 1], [4, 2, 170]], * Val accuracy / confusion: 58.08% / [[158, 34, 38], [72, 79, 24], [23, 27, 65]] ------------------------------ Epoch 1001 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.182490 - Iter 024 / 025, Loss: 0.034171 * Train accuracy / confusion: 98.50% / [[352, 6, 0], [3, 262, 1], [1, 1, 174]], * Val accuracy / confusion: 57.50% / [[158, 40, 32], [56, 81, 38], [20, 35, 60]] ------------------------------ Epoch 1002 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.004406 - Iter 024 / 025, Loss: 0.039039 * Train accuracy / confusion: 99.38% / [[354, 1, 0], [2, 265, 1], [1, 0, 176]], * Val accuracy / confusion: 56.73% / [[151, 40, 39], [63, 73, 39], [16, 28, 71]] ------------------------------ Epoch 1003 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.004132 - Iter 024 / 025, Loss: 0.053079 * Train accuracy / confusion: 98.75% / [[355, 3, 0], [5, 258, 1], [0, 1, 177]], * Val accuracy / confusion: 56.35% / [[155, 42, 33], [64, 77, 34], [20, 34, 61]] ------------------------------ Epoch 1004 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.024101 - Iter 024 / 025, Loss: 0.001925 * Train accuracy / confusion: 99.12% / [[351, 4, 0], [2, 268, 0], [0, 1, 174]], * Val accuracy / confusion: 55.96% / [[150, 48, 32], [65, 79, 31], [20, 33, 62]] ------------------------------ Epoch 1005 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.167416 - Iter 024 / 025, Loss: 0.003483 * Train accuracy / confusion: 99.38% / [[354, 0, 0], [5, 262, 0], [0, 0, 179]], * Val accuracy / confusion: 57.31% / [[153, 41, 36], [59, 81, 35], [24, 27, 64]] ------------------------------ Epoch 1006 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.006149 - Iter 024 / 025, Loss: 0.009919 * Train accuracy / confusion: 98.38% / [[350, 4, 1], [3, 265, 2], [1, 2, 172]], * Val accuracy / confusion: 56.92% / [[157, 40, 33], [70, 73, 32], [21, 28, 66]] ------------------------------ Epoch 1007 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.017633 - Iter 024 / 025, Loss: 0.018240 * Train accuracy / confusion: 99.00% / [[355, 2, 0], [5, 263, 0], [0, 1, 174]], * Val accuracy / confusion: 54.23% / [[145, 45, 40], [63, 74, 38], [23, 29, 63]] ------------------------------ Epoch 1008 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.059012 - Iter 024 / 025, Loss: 0.035258 * Train accuracy / confusion: 98.88% / [[358, 1, 1], [4, 259, 1], [0, 2, 174]], * Val accuracy / confusion: 56.35% / [[149, 42, 39], [56, 82, 37], [23, 30, 62]] ------------------------------ Epoch 1009 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.008729 - Iter 024 / 025, Loss: 0.025518 * Train accuracy / confusion: 99.25% / [[350, 1, 1], [2, 268, 1], [0, 1, 176]], * Val accuracy / confusion: 57.50% / [[157, 38, 35], [60, 73, 42], [19, 27, 69]] ------------------------------ Epoch 1010 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.018696 - Iter 024 / 025, Loss: 0.003456 * Train accuracy / confusion: 99.12% / [[356, 1, 0], [2, 264, 3], [0, 1, 173]], * Val accuracy / confusion: 56.15% / [[158, 35, 37], [67, 73, 35], [17, 37, 61]] ------------------------------ Epoch 1011 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.153213 - Iter 024 / 025, Loss: 0.013350 * Train accuracy / confusion: 98.25% / [[347, 5, 2], [3, 266, 1], [2, 1, 173]], * Val accuracy / confusion: 55.00% / [[150, 43, 37], [69, 70, 36], [19, 30, 66]] ------------------------------ Epoch 1012 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.010718 - Iter 024 / 025, Loss: 0.020140 * Train accuracy / confusion: 99.25% / [[349, 2, 0], [1, 271, 1], [2, 0, 174]], * Val accuracy / confusion: 52.50% / [[151, 47, 32], [70, 65, 40], [21, 37, 57]] ------------------------------ Epoch 1013 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.107953 - Iter 024 / 025, Loss: 0.269082 * Train accuracy / confusion: 98.50% / [[355, 4, 0], [4, 257, 1], [2, 1, 176]], * Val accuracy / confusion: 56.54% / [[160, 45, 25], [65, 74, 36], [22, 33, 60]] ------------------------------ Epoch 1014 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.030227 - Iter 024 / 025, Loss: 0.031210 * Train accuracy / confusion: 98.75% / [[355, 1, 0], [5, 262, 0], [1, 3, 173]], * Val accuracy / confusion: 53.08% / [[142, 55, 33], [59, 78, 38], [21, 38, 56]] ------------------------------ Epoch 1015 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.003441 - Iter 024 / 025, Loss: 0.027741 * Train accuracy / confusion: 98.50% / [[349, 4, 1], [4, 263, 1], [0, 2, 176]], * Val accuracy / confusion: 55.58% / [[155, 39, 36], [74, 67, 34], [19, 29, 67]] ------------------------------ Epoch 1016 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.024431 - Iter 024 / 025, Loss: 0.012854 * Train accuracy / confusion: 99.12% / [[354, 2, 0], [1, 264, 1], [2, 1, 175]], * Val accuracy / confusion: 57.69% / [[161, 40, 29], [65, 76, 34], [16, 36, 63]] ------------------------------ Epoch 1017 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.001221 - Iter 024 / 025, Loss: 0.063040 * Train accuracy / confusion: 98.88% / [[356, 3, 0], [3, 261, 2], [0, 1, 174]], * Val accuracy / confusion: 53.65% / [[141, 54, 35], [65, 79, 31], [16, 40, 59]] ------------------------------ Epoch 1018 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016721 - Iter 024 / 025, Loss: 0.003925 * Train accuracy / confusion: 99.50% / [[352, 1, 0], [1, 269, 1], [0, 1, 175]], * Val accuracy / confusion: 58.46% / [[164, 33, 33], [63, 82, 30], [22, 35, 58]] ------------------------------ Epoch 1019 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.003059 - Iter 024 / 025, Loss: 0.046584 * Train accuracy / confusion: 98.75% / [[356, 0, 3], [2, 262, 3], [1, 1, 172]], * Val accuracy / confusion: 55.00% / [[147, 47, 36], [67, 73, 35], [17, 32, 66]] ------------------------------ Epoch 1020 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.037917 - Iter 024 / 025, Loss: 0.004326 * Train accuracy / confusion: 99.00% / [[355, 2, 0], [2, 263, 2], [0, 2, 174]], * Val accuracy / confusion: 58.08% / [[157, 42, 31], [64, 80, 31], [19, 31, 65]] ------------------------------ Epoch 1021 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.002234 - Iter 024 / 025, Loss: 0.003449 * Train accuracy / confusion: 98.50% / [[347, 3, 2], [5, 262, 2], [0, 0, 179]], * Val accuracy / confusion: 56.73% / [[161, 39, 30], [70, 70, 35], [23, 28, 64]] ------------------------------ Epoch 1022 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.012632 - Iter 024 / 025, Loss: 0.002147 * Train accuracy / confusion: 98.50% / [[352, 1, 2], [4, 259, 1], [2, 2, 177]], * Val accuracy / confusion: 57.69% / [[157, 44, 29], [63, 80, 32], [21, 31, 63]] ------------------------------ Epoch 1023 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.006022 - Iter 024 / 025, Loss: 0.021394 * Train accuracy / confusion: 99.25% / [[353, 0, 2], [1, 268, 1], [2, 0, 173]], * Val accuracy / confusion: 55.38% / [[155, 43, 32], [64, 78, 33], [19, 41, 55]] ------------------------------ Epoch 1024 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.001491 - Iter 024 / 025, Loss: 0.088479 * Train accuracy / confusion: 99.00% / [[351, 2, 1], [2, 263, 1], [2, 0, 178]], * Val accuracy / confusion: 58.85% / [[159, 42, 29], [67, 89, 19], [25, 32, 58]] ------------------------------ Epoch 1025 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.003222 - Iter 024 / 025, Loss: 0.090681 * Train accuracy / confusion: 99.12% / [[352, 3, 2], [1, 266, 0], [1, 0, 175]], * Val accuracy / confusion: 54.62% / [[152, 41, 37], [64, 72, 39], [19, 36, 60]] ------------------------------ Epoch 1026 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.003347 - Iter 024 / 025, Loss: 0.022593 * Train accuracy / confusion: 99.12% / [[356, 2, 0], [4, 262, 0], [0, 1, 175]], * Val accuracy / confusion: 56.35% / [[147, 43, 40], [54, 79, 42], [18, 30, 67]] ------------------------------ Epoch 1027 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.007571 - Iter 024 / 025, Loss: 0.002403 * Train accuracy / confusion: 99.00% / [[353, 2, 1], [3, 263, 1], [1, 0, 176]], * Val accuracy / confusion: 55.00% / [[156, 34, 40], [67, 66, 42], [18, 33, 64]] ------------------------------ Epoch 1028 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.078377 - Iter 024 / 025, Loss: 0.019889 * Train accuracy / confusion: 98.50% / [[356, 3, 0], [5, 262, 2], [1, 1, 170]], * Val accuracy / confusion: 55.96% / [[155, 48, 27], [67, 78, 30], [18, 39, 58]] ------------------------------ Epoch 1029 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.007344 - Iter 024 / 025, Loss: 0.003224 * Train accuracy / confusion: 99.12% / [[353, 1, 0], [5, 266, 0], [0, 1, 174]], * Val accuracy / confusion: 59.81% / [[162, 38, 30], [61, 83, 31], [18, 31, 66]] ------------------------------ Epoch 1030 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.112088 - Iter 024 / 025, Loss: 0.019919 * Train accuracy / confusion: 99.25% / [[353, 4, 0], [0, 266, 0], [1, 1, 175]], * Val accuracy / confusion: 57.31% / [[156, 45, 29], [62, 77, 36], [15, 35, 65]] ------------------------------ Epoch 1031 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.041702 - Iter 024 / 025, Loss: 0.025439 * Train accuracy / confusion: 98.62% / [[353, 3, 2], [3, 263, 1], [0, 2, 173]], * Val accuracy / confusion: 58.08% / [[156, 43, 31], [64, 80, 31], [17, 32, 66]] ------------------------------ Epoch 1032 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.006328 - Iter 024 / 025, Loss: 0.002496 * Train accuracy / confusion: 98.62% / [[351, 2, 1], [4, 262, 2], [0, 2, 176]], * Val accuracy / confusion: 56.92% / [[160, 37, 33], [67, 71, 37], [19, 31, 65]] ------------------------------ Epoch 1033 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.001992 - Iter 024 / 025, Loss: 0.007642 * Train accuracy / confusion: 99.38% / [[353, 2, 0], [1, 264, 0], [1, 1, 178]], * Val accuracy / confusion: 58.46% / [[162, 33, 35], [66, 76, 33], [21, 28, 66]] ------------------------------ Epoch 1034 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.002087 - Iter 024 / 025, Loss: 0.043482 * Train accuracy / confusion: 98.62% / [[355, 1, 0], [5, 260, 2], [1, 2, 174]], * Val accuracy / confusion: 57.50% / [[157, 44, 29], [68, 77, 30], [21, 29, 65]] ------------------------------ Epoch 1035 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.103186 - Iter 024 / 025, Loss: 0.032691 * Train accuracy / confusion: 98.25% / [[349, 2, 1], [7, 259, 3], [0, 1, 178]], * Val accuracy / confusion: 55.77% / [[157, 44, 29], [66, 75, 34], [23, 34, 58]] ------------------------------ Epoch 1036 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.000857 - Iter 024 / 025, Loss: 0.059856 * Train accuracy / confusion: 99.38% / [[354, 0, 1], [1, 267, 1], [2, 0, 174]], * Val accuracy / confusion: 56.35% / [[146, 53, 31], [56, 80, 39], [17, 31, 67]] ------------------------------ Epoch 1037 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.072035 - Iter 024 / 025, Loss: 0.111963 * Train accuracy / confusion: 99.12% / [[352, 2, 2], [2, 266, 0], [1, 0, 175]], * Val accuracy / confusion: 53.65% / [[152, 46, 32], [65, 72, 38], [21, 39, 55]] ------------------------------ Epoch 1038 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.029836 - Iter 024 / 025, Loss: 0.132078 * Train accuracy / confusion: 98.50% / [[346, 5, 2], [3, 265, 0], [2, 0, 177]], * Val accuracy / confusion: 56.92% / [[161, 43, 26], [65, 76, 34], [19, 37, 59]] ------------------------------ Epoch 1039 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.050033 - Iter 024 / 025, Loss: 0.078182 * Train accuracy / confusion: 99.25% / [[351, 2, 1], [1, 267, 1], [0, 1, 176]], * Val accuracy / confusion: 55.77% / [[151, 48, 31], [59, 76, 40], [18, 34, 63]] ------------------------------ Epoch 1040 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.002708 - Iter 024 / 025, Loss: 0.016149 * Train accuracy / confusion: 98.38% / [[351, 3, 1], [3, 261, 2], [3, 1, 175]], * Val accuracy / confusion: 54.62% / [[150, 51, 29], [63, 78, 34], [21, 38, 56]] ------------------------------ Epoch 1041 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.003028 - Iter 024 / 025, Loss: 0.088013 * Train accuracy / confusion: 98.38% / [[351, 4, 3], [5, 259, 1], [0, 0, 177]], * Val accuracy / confusion: 54.42% / [[151, 48, 31], [67, 71, 37], [21, 33, 61]] ------------------------------ Epoch 1042 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.015166 - Iter 024 / 025, Loss: 0.004236 * Train accuracy / confusion: 98.88% / [[353, 4, 0], [3, 261, 1], [0, 1, 177]], * Val accuracy / confusion: 59.23% / [[166, 34, 30], [62, 78, 35], [19, 32, 64]] ------------------------------ Epoch 1043 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.037976 - Iter 024 / 025, Loss: 0.027854 * Train accuracy / confusion: 98.62% / [[355, 3, 1], [2, 263, 2], [1, 2, 171]], * Val accuracy / confusion: 56.73% / [[147, 49, 34], [55, 79, 41], [20, 26, 69]] ------------------------------ Epoch 1044 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.010744 - Iter 024 / 025, Loss: 0.004749 * Train accuracy / confusion: 99.50% / [[356, 1, 0], [1, 263, 1], [0, 1, 177]], * Val accuracy / confusion: 55.19% / [[161, 36, 33], [71, 67, 37], [22, 34, 59]] ------------------------------ Epoch 1045 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.002468 - Iter 024 / 025, Loss: 0.047026 * Train accuracy / confusion: 99.12% / [[352, 2, 1], [3, 267, 1], [0, 0, 174]], * Val accuracy / confusion: 57.50% / [[155, 42, 33], [63, 86, 26], [20, 37, 58]] ------------------------------ Epoch 1046 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.004481 - Iter 024 / 025, Loss: 0.023410 * Train accuracy / confusion: 98.88% / [[354, 4, 0], [3, 264, 2], [0, 0, 173]], * Val accuracy / confusion: 55.00% / [[157, 45, 28], [70, 72, 33], [23, 35, 57]] ------------------------------ Epoch 1047 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.009635 - Iter 024 / 025, Loss: 0.006952 * Train accuracy / confusion: 99.00% / [[353, 0, 1], [4, 268, 0], [1, 2, 171]], * Val accuracy / confusion: 54.04% / [[156, 46, 28], [67, 70, 38], [24, 36, 55]] ------------------------------ Epoch 1048 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.015490 - Iter 024 / 025, Loss: 0.010714 * Train accuracy / confusion: 99.00% / [[348, 4, 0], [3, 270, 0], [1, 0, 174]], * Val accuracy / confusion: 55.00% / [[155, 43, 32], [68, 74, 33], [22, 36, 57]] ------------------------------ Epoch 1049 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.001462 - Iter 024 / 025, Loss: 0.114865 * Train accuracy / confusion: 99.12% / [[353, 0, 3], [3, 266, 0], [1, 0, 174]], * Val accuracy / confusion: 54.23% / [[146, 48, 36], [61, 73, 41], [16, 36, 63]] ------------------------------ Epoch 1050 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.003266 - Iter 024 / 025, Loss: 0.070517 * Train accuracy / confusion: 98.75% / [[354, 2, 0], [6, 261, 0], [1, 1, 175]], * Val accuracy / confusion: 55.38% / [[153, 51, 26], [59, 80, 36], [17, 43, 55]] ------------------------------ Epoch 1051 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.001673 - Iter 024 / 025, Loss: 0.042406 * Train accuracy / confusion: 98.62% / [[347, 2, 2], [6, 266, 0], [1, 0, 176]], * Val accuracy / confusion: 55.96% / [[146, 50, 34], [54, 88, 33], [22, 36, 57]] ------------------------------ Epoch 1052 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.012037 - Iter 024 / 025, Loss: 0.049699 * Train accuracy / confusion: 98.75% / [[348, 4, 0], [3, 267, 1], [1, 1, 175]], * Val accuracy / confusion: 52.88% / [[142, 54, 34], [57, 79, 39], [15, 46, 54]] ------------------------------ Epoch 1053 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005002 - Iter 024 / 025, Loss: 0.004790 * Train accuracy / confusion: 99.12% / [[354, 2, 0], [1, 264, 2], [1, 1, 175]], * Val accuracy / confusion: 56.35% / [[142, 48, 40], [49, 91, 35], [17, 38, 60]] ------------------------------ Epoch 1054 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.036366 - Iter 024 / 025, Loss: 0.035485 * Train accuracy / confusion: 98.38% / [[352, 3, 1], [5, 260, 2], [1, 1, 175]], * Val accuracy / confusion: 57.88% / [[153, 42, 35], [57, 85, 33], [20, 32, 63]] ------------------------------ Epoch 1055 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.314845 - Iter 024 / 025, Loss: 0.037569 * Train accuracy / confusion: 98.75% / [[352, 6, 1], [1, 265, 1], [0, 1, 173]], * Val accuracy / confusion: 53.08% / [[148, 54, 28], [63, 76, 36], [19, 44, 52]] ------------------------------ Epoch 1056 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.008524 - Iter 024 / 025, Loss: 0.009486 * Train accuracy / confusion: 98.25% / [[351, 2, 3], [3, 261, 2], [2, 2, 174]], * Val accuracy / confusion: 55.58% / [[150, 40, 40], [61, 76, 38], [21, 31, 63]] ------------------------------ Epoch 1057 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.004884 - Iter 024 / 025, Loss: 0.027855 * Train accuracy / confusion: 98.88% / [[356, 3, 0], [3, 259, 1], [1, 1, 176]], * Val accuracy / confusion: 55.19% / [[158, 39, 33], [67, 70, 38], [21, 35, 59]] ------------------------------ Epoch 1058 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.014104 - Iter 024 / 025, Loss: 0.001545 * Train accuracy / confusion: 98.75% / [[347, 2, 0], [2, 268, 0], [2, 4, 175]], * Val accuracy / confusion: 55.96% / [[159, 38, 33], [73, 72, 30], [22, 33, 60]] ------------------------------ Epoch 1059 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005468 - Iter 024 / 025, Loss: 0.019534 * Train accuracy / confusion: 99.38% / [[356, 0, 1], [2, 266, 0], [0, 2, 173]], * Val accuracy / confusion: 56.92% / [[149, 49, 32], [62, 79, 34], [18, 29, 68]] ------------------------------ Epoch 1060 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.008302 - Iter 024 / 025, Loss: 0.089396 * Train accuracy / confusion: 98.62% / [[352, 1, 1], [5, 263, 1], [2, 1, 174]], * Val accuracy / confusion: 58.65% / [[166, 27, 37], [68, 74, 33], [25, 25, 65]] ------------------------------ Epoch 1061 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005769 - Iter 024 / 025, Loss: 0.000583 * Train accuracy / confusion: 99.50% / [[352, 2, 0], [1, 270, 0], [0, 1, 174]], * Val accuracy / confusion: 57.50% / [[157, 44, 29], [58, 79, 38], [22, 30, 63]] ------------------------------ Epoch 1062 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.040352 - Iter 024 / 025, Loss: 0.051064 * Train accuracy / confusion: 98.62% / [[353, 2, 1], [4, 260, 3], [0, 1, 176]], * Val accuracy / confusion: 56.92% / [[155, 48, 27], [55, 77, 43], [19, 32, 64]] ------------------------------ Epoch 1063 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.056702 - Iter 024 / 025, Loss: 0.055438 * Train accuracy / confusion: 98.88% / [[353, 2, 2], [3, 263, 1], [1, 0, 175]], * Val accuracy / confusion: 59.04% / [[157, 43, 30], [52, 90, 33], [19, 36, 60]] ------------------------------ Epoch 1064 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.107639 - Iter 024 / 025, Loss: 0.013247 * Train accuracy / confusion: 98.50% / [[357, 4, 1], [2, 262, 1], [1, 3, 169]], * Val accuracy / confusion: 52.88% / [[138, 59, 33], [57, 84, 34], [21, 41, 53]] ------------------------------ Epoch 1065 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.015259 - Iter 024 / 025, Loss: 0.011641 * Train accuracy / confusion: 98.62% / [[353, 3, 0], [6, 264, 0], [0, 2, 172]], * Val accuracy / confusion: 55.00% / [[149, 44, 37], [60, 75, 40], [22, 31, 62]] ------------------------------ Epoch 1066 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.007365 - Iter 024 / 025, Loss: 0.010176 * Train accuracy / confusion: 99.25% / [[352, 2, 0], [1, 267, 1], [0, 2, 175]], * Val accuracy / confusion: 55.96% / [[155, 38, 37], [63, 80, 32], [24, 35, 56]] ------------------------------ Epoch 1067 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.011804 - Iter 024 / 025, Loss: 0.035660 * Train accuracy / confusion: 99.12% / [[357, 0, 0], [3, 257, 3], [1, 0, 179]], * Val accuracy / confusion: 59.81% / [[156, 39, 35], [61, 90, 24], [23, 27, 65]] ------------------------------ Epoch 1068 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.008070 - Iter 024 / 025, Loss: 0.038677 * Train accuracy / confusion: 99.00% / [[355, 2, 0], [3, 264, 1], [1, 1, 173]], * Val accuracy / confusion: 56.35% / [[152, 45, 33], [59, 77, 39], [18, 33, 64]] ------------------------------ Epoch 1069 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.011522 - Iter 024 / 025, Loss: 0.014812 * Train accuracy / confusion: 99.25% / [[359, 0, 0], [3, 259, 2], [0, 1, 176]], * Val accuracy / confusion: 56.73% / [[148, 43, 39], [60, 82, 33], [20, 30, 65]] ------------------------------ Epoch 1070 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.001935 - Iter 024 / 025, Loss: 0.001551 * Train accuracy / confusion: 99.00% / [[354, 2, 0], [0, 266, 3], [0, 3, 172]], * Val accuracy / confusion: 54.62% / [[148, 48, 34], [53, 73, 49], [18, 34, 63]] ------------------------------ Epoch 1071 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.002619 - Iter 024 / 025, Loss: 0.006792 * Train accuracy / confusion: 98.38% / [[351, 3, 0], [4, 263, 2], [2, 2, 173]], * Val accuracy / confusion: 56.92% / [[151, 45, 34], [62, 77, 36], [15, 32, 68]] ------------------------------ Epoch 1072 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.028669 - Iter 024 / 025, Loss: 0.009289 * Train accuracy / confusion: 98.88% / [[357, 0, 2], [5, 258, 0], [0, 2, 176]], * Val accuracy / confusion: 56.54% / [[150, 42, 38], [53, 84, 38], [19, 36, 60]] ------------------------------ Epoch 1073 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.023626 - Iter 024 / 025, Loss: 0.108122 * Train accuracy / confusion: 98.75% / [[355, 3, 2], [1, 264, 1], [2, 1, 171]], * Val accuracy / confusion: 57.88% / [[151, 44, 35], [56, 82, 37], [20, 27, 68]] ------------------------------ Epoch 1074 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.006167 - Iter 024 / 025, Loss: 0.004236 * Train accuracy / confusion: 98.88% / [[356, 1, 0], [3, 258, 3], [1, 1, 177]], * Val accuracy / confusion: 57.12% / [[152, 53, 25], [68, 81, 26], [20, 31, 64]] ------------------------------ Epoch 1075 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.020399 - Iter 024 / 025, Loss: 0.035315 * Train accuracy / confusion: 98.88% / [[356, 3, 0], [3, 263, 1], [0, 2, 172]], * Val accuracy / confusion: 57.50% / [[160, 36, 34], [69, 73, 33], [22, 27, 66]] ------------------------------ Epoch 1076 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.059130 - Iter 024 / 025, Loss: 0.062284 * Train accuracy / confusion: 98.75% / [[353, 2, 2], [1, 262, 2], [1, 2, 175]], * Val accuracy / confusion: 53.27% / [[146, 60, 24], [68, 71, 36], [19, 36, 60]] ------------------------------ Epoch 1077 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.013794 - Iter 024 / 025, Loss: 0.006673 * Train accuracy / confusion: 99.12% / [[354, 3, 0], [1, 266, 0], [1, 2, 173]], * Val accuracy / confusion: 57.50% / [[156, 47, 27], [60, 80, 35], [22, 30, 63]] ------------------------------ Epoch 1078 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.001511 - Iter 024 / 025, Loss: 0.036059 * Train accuracy / confusion: 99.38% / [[356, 0, 1], [3, 264, 1], [0, 0, 175]], * Val accuracy / confusion: 57.88% / [[146, 46, 38], [55, 83, 37], [15, 28, 72]] ------------------------------ Epoch 1079 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005289 - Iter 024 / 025, Loss: 0.041150 * Train accuracy / confusion: 98.38% / [[352, 4, 1], [5, 261, 1], [0, 2, 174]], * Val accuracy / confusion: 56.15% / [[146, 41, 43], [66, 76, 33], [19, 26, 70]] ------------------------------ Epoch 1080 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.082927 - Iter 024 / 025, Loss: 0.035395 * Train accuracy / confusion: 98.62% / [[351, 3, 2], [3, 265, 1], [1, 1, 173]], * Val accuracy / confusion: 56.73% / [[156, 46, 28], [64, 74, 37], [19, 31, 65]] ------------------------------ Epoch 1081 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.015248 - Iter 024 / 025, Loss: 0.080498 * Train accuracy / confusion: 99.25% / [[353, 2, 0], [2, 270, 0], [1, 1, 171]], * Val accuracy / confusion: 58.46% / [[165, 32, 33], [53, 77, 45], [23, 30, 62]] ------------------------------ Epoch 1082 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.003191 - Iter 024 / 025, Loss: 0.001472 * Train accuracy / confusion: 99.38% / [[353, 2, 0], [2, 267, 0], [0, 1, 175]], * Val accuracy / confusion: 54.42% / [[147, 50, 33], [74, 70, 31], [20, 29, 66]] ------------------------------ Epoch 1083 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.003458 - Iter 024 / 025, Loss: 0.006117 * Train accuracy / confusion: 99.25% / [[359, 1, 0], [5, 262, 0], [0, 0, 173]], * Val accuracy / confusion: 58.27% / [[155, 39, 36], [57, 79, 39], [19, 27, 69]] ------------------------------ Epoch 1084 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.045075 - Iter 024 / 025, Loss: 0.050724 * Train accuracy / confusion: 99.12% / [[355, 2, 0], [3, 265, 1], [1, 0, 173]], * Val accuracy / confusion: 57.50% / [[159, 43, 28], [68, 70, 37], [19, 26, 70]] ------------------------------ Epoch 1085 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.112361 - Iter 024 / 025, Loss: 0.010245 * Train accuracy / confusion: 98.25% / [[354, 2, 2], [3, 258, 3], [1, 3, 174]], * Val accuracy / confusion: 53.65% / [[152, 49, 29], [67, 70, 38], [19, 39, 57]] ------------------------------ Epoch 1086 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.052865 - Iter 024 / 025, Loss: 0.007519 * Train accuracy / confusion: 98.75% / [[355, 2, 0], [3, 260, 2], [1, 2, 175]], * Val accuracy / confusion: 58.27% / [[157, 38, 35], [69, 75, 31], [16, 28, 71]] ------------------------------ Epoch 1087 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.004645 - Iter 024 / 025, Loss: 0.007528 * Train accuracy / confusion: 98.62% / [[349, 3, 1], [3, 262, 2], [2, 0, 178]], * Val accuracy / confusion: 57.12% / [[153, 45, 32], [61, 82, 32], [18, 35, 62]] ------------------------------ Epoch 1088 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.027606 - Iter 024 / 025, Loss: 0.001726 * Train accuracy / confusion: 98.50% / [[349, 5, 1], [3, 263, 1], [2, 0, 176]], * Val accuracy / confusion: 55.96% / [[155, 38, 37], [73, 70, 32], [19, 30, 66]] ------------------------------ Epoch 1089 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.032707 - Iter 024 / 025, Loss: 0.002292 * Train accuracy / confusion: 98.88% / [[353, 1, 0], [4, 264, 2], [0, 2, 174]], * Val accuracy / confusion: 57.12% / [[158, 40, 32], [63, 77, 35], [19, 34, 62]] ------------------------------ Epoch 1090 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.017722 - Iter 024 / 025, Loss: 0.033678 * Train accuracy / confusion: 99.38% / [[354, 2, 1], [2, 263, 0], [0, 0, 178]], * Val accuracy / confusion: 58.27% / [[154, 45, 31], [56, 88, 31], [18, 36, 61]] ------------------------------ Epoch 1091 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.000898 - Iter 024 / 025, Loss: 0.001030 * Train accuracy / confusion: 98.62% / [[350, 3, 1], [4, 267, 0], [1, 2, 172]], * Val accuracy / confusion: 56.54% / [[150, 49, 31], [67, 80, 28], [14, 37, 64]] ------------------------------ Epoch 1092 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.002595 - Iter 024 / 025, Loss: 0.028773 * Train accuracy / confusion: 99.00% / [[352, 2, 2], [1, 267, 1], [1, 1, 173]], * Val accuracy / confusion: 55.58% / [[149, 50, 31], [65, 74, 36], [23, 26, 66]] ------------------------------ Epoch 1093 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.032273 - Iter 024 / 025, Loss: 0.047085 * Train accuracy / confusion: 98.50% / [[355, 3, 1], [3, 260, 1], [4, 0, 173]], * Val accuracy / confusion: 57.69% / [[153, 44, 33], [64, 78, 33], [18, 28, 69]] ------------------------------ Epoch 1094 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.153001 - Iter 024 / 025, Loss: 0.000578 * Train accuracy / confusion: 99.38% / [[356, 0, 1], [3, 262, 0], [0, 1, 177]], * Val accuracy / confusion: 55.77% / [[155, 39, 36], [68, 69, 38], [20, 29, 66]] ------------------------------ Epoch 1095 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.030990 - Iter 024 / 025, Loss: 0.035700 * Train accuracy / confusion: 98.88% / [[354, 0, 2], [3, 265, 1], [2, 1, 172]], * Val accuracy / confusion: 58.46% / [[156, 45, 29], [57, 82, 36], [23, 26, 66]] ------------------------------ Epoch 1096 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.004162 - Iter 024 / 025, Loss: 0.002419 * Train accuracy / confusion: 99.12% / [[354, 0, 1], [5, 262, 0], [0, 1, 177]], * Val accuracy / confusion: 54.81% / [[146, 47, 37], [66, 78, 31], [17, 37, 61]] ------------------------------ Epoch 1097 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.012578 - Iter 024 / 025, Loss: 0.050719 * Train accuracy / confusion: 99.25% / [[352, 1, 0], [5, 266, 0], [0, 0, 176]], * Val accuracy / confusion: 57.12% / [[149, 48, 33], [58, 84, 33], [17, 34, 64]] ------------------------------ Epoch 1098 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.001085 - Iter 024 / 025, Loss: 0.021612 * Train accuracy / confusion: 99.12% / [[352, 1, 1], [2, 266, 2], [0, 1, 175]], * Val accuracy / confusion: 58.08% / [[155, 42, 33], [66, 78, 31], [22, 24, 69]] ------------------------------ Epoch 1099 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.012142 - Iter 024 / 025, Loss: 0.003969 * Train accuracy / confusion: 98.62% / [[352, 4, 3], [2, 261, 1], [0, 1, 176]], * Val accuracy / confusion: 58.08% / [[152, 40, 38], [58, 83, 34], [20, 28, 67]] ------------------------------ Epoch 1100 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.042970 - Iter 024 / 025, Loss: 0.004547 * Train accuracy / confusion: 98.62% / [[348, 4, 1], [1, 266, 2], [1, 2, 175]], * Val accuracy / confusion: 56.54% / [[151, 44, 35], [65, 82, 28], [17, 37, 61]] ------------------------------ Epoch 1101 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.013816 - Iter 024 / 025, Loss: 0.019486 * Train accuracy / confusion: 99.38% / [[355, 2, 0], [1, 266, 1], [0, 1, 174]], * Val accuracy / confusion: 55.77% / [[154, 42, 34], [62, 72, 41], [23, 28, 64]] ------------------------------ Epoch 1102 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.048970 - Iter 024 / 025, Loss: 0.042954 * Train accuracy / confusion: 99.25% / [[358, 0, 0], [4, 263, 1], [0, 1, 173]], * Val accuracy / confusion: 56.15% / [[158, 42, 30], [73, 66, 36], [20, 27, 68]] ------------------------------ Epoch 1103 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.113143 - Iter 024 / 025, Loss: 0.039816 * Train accuracy / confusion: 99.12% / [[354, 2, 0], [4, 266, 0], [1, 0, 173]], * Val accuracy / confusion: 58.46% / [[165, 33, 32], [63, 72, 40], [19, 29, 67]] ------------------------------ Epoch 1104 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.013320 - Iter 024 / 025, Loss: 0.054254 * Train accuracy / confusion: 98.88% / [[354, 3, 2], [2, 264, 0], [1, 1, 173]], * Val accuracy / confusion: 56.54% / [[151, 47, 32], [53, 75, 47], [22, 25, 68]] ------------------------------ Epoch 1105 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.017117 - Iter 024 / 025, Loss: 0.045930 * Train accuracy / confusion: 98.62% / [[350, 1, 2], [6, 259, 0], [1, 1, 180]], * Val accuracy / confusion: 58.27% / [[165, 36, 29], [56, 74, 45], [15, 36, 64]] ------------------------------ Epoch 1106 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.131962 - Iter 024 / 025, Loss: 0.091134 * Train accuracy / confusion: 98.75% / [[350, 4, 0], [4, 264, 2], [0, 0, 176]], * Val accuracy / confusion: 55.38% / [[148, 47, 35], [55, 74, 46], [21, 28, 66]] ------------------------------ Epoch 1107 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.027547 - Iter 024 / 025, Loss: 0.015164 * Train accuracy / confusion: 98.50% / [[349, 5, 1], [3, 268, 1], [0, 2, 171]], * Val accuracy / confusion: 54.62% / [[151, 46, 33], [71, 66, 38], [17, 31, 67]] ------------------------------ Epoch 1108 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.015976 - Iter 024 / 025, Loss: 0.006694 * Train accuracy / confusion: 98.12% / [[351, 4, 2], [4, 262, 2], [1, 2, 172]], * Val accuracy / confusion: 58.65% / [[165, 33, 32], [67, 73, 35], [20, 28, 67]] ------------------------------ Epoch 1109 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.033647 - Iter 024 / 025, Loss: 0.050980 * Train accuracy / confusion: 98.62% / [[353, 2, 1], [4, 264, 2], [0, 2, 172]], * Val accuracy / confusion: 57.12% / [[148, 53, 29], [55, 80, 40], [15, 31, 69]] ------------------------------ Epoch 1110 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.029998 - Iter 024 / 025, Loss: 0.003095 * Train accuracy / confusion: 99.12% / [[353, 2, 1], [3, 265, 1], [0, 0, 175]], * Val accuracy / confusion: 56.92% / [[150, 47, 33], [57, 78, 40], [23, 24, 68]] ------------------------------ Epoch 1111 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.014678 - Iter 024 / 025, Loss: 0.019511 * Train accuracy / confusion: 99.00% / [[351, 2, 1], [3, 267, 1], [1, 0, 174]], * Val accuracy / confusion: 53.08% / [[140, 58, 32], [59, 74, 42], [16, 37, 62]] ------------------------------ Epoch 1112 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.042777 - Iter 024 / 025, Loss: 0.005817 * Train accuracy / confusion: 98.75% / [[354, 5, 0], [2, 262, 1], [1, 1, 174]], * Val accuracy / confusion: 54.42% / [[145, 54, 31], [66, 70, 39], [10, 37, 68]] ------------------------------ Epoch 1113 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.121935 - Iter 024 / 025, Loss: 0.005507 * Train accuracy / confusion: 99.25% / [[357, 1, 0], [3, 263, 0], [0, 2, 174]], * Val accuracy / confusion: 53.08% / [[142, 59, 29], [60, 69, 46], [19, 31, 65]] ------------------------------ Epoch 1114 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005994 - Iter 024 / 025, Loss: 0.021433 * Train accuracy / confusion: 99.38% / [[357, 1, 1], [3, 269, 0], [0, 0, 169]], * Val accuracy / confusion: 55.77% / [[151, 43, 36], [62, 75, 38], [17, 34, 64]] ------------------------------ Epoch 1115 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.032206 - Iter 024 / 025, Loss: 0.007262 * Train accuracy / confusion: 98.88% / [[345, 4, 1], [3, 267, 0], [1, 0, 179]], * Val accuracy / confusion: 56.54% / [[161, 48, 21], [71, 70, 34], [19, 33, 63]] ------------------------------ Epoch 1116 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.023005 - Iter 024 / 025, Loss: 0.042167 * Train accuracy / confusion: 98.75% / [[351, 6, 0], [3, 262, 1], [0, 0, 177]], * Val accuracy / confusion: 55.58% / [[143, 56, 31], [58, 79, 38], [20, 28, 67]] ------------------------------ Epoch 1117 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.028217 - Iter 024 / 025, Loss: 0.001303 * Train accuracy / confusion: 99.62% / [[351, 1, 0], [1, 267, 1], [0, 0, 179]], * Val accuracy / confusion: 56.54% / [[146, 53, 31], [61, 79, 35], [18, 28, 69]] ------------------------------ Epoch 1118 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.039453 - Iter 024 / 025, Loss: 0.048680 * Train accuracy / confusion: 98.88% / [[353, 3, 1], [4, 260, 1], [0, 0, 178]], * Val accuracy / confusion: 56.92% / [[155, 46, 29], [60, 79, 36], [19, 34, 62]] ------------------------------ Epoch 1119 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.036735 - Iter 024 / 025, Loss: 0.070983 * Train accuracy / confusion: 98.62% / [[357, 3, 0], [5, 259, 0], [1, 2, 173]], * Val accuracy / confusion: 58.46% / [[165, 32, 33], [68, 75, 32], [20, 31, 64]] ------------------------------ Epoch 1120 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.029641 - Iter 024 / 025, Loss: 0.021636 * Train accuracy / confusion: 98.50% / [[350, 5, 2], [3, 264, 1], [0, 1, 174]], * Val accuracy / confusion: 55.38% / [[163, 36, 31], [64, 70, 41], [23, 37, 55]] ------------------------------ Epoch 1121 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.026971 - Iter 024 / 025, Loss: 0.006850 * Train accuracy / confusion: 98.50% / [[346, 5, 0], [3, 269, 2], [0, 2, 173]], * Val accuracy / confusion: 55.77% / [[164, 33, 33], [72, 65, 38], [25, 29, 61]] ------------------------------ Epoch 1122 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.010617 - Iter 024 / 025, Loss: 0.004056 * Train accuracy / confusion: 99.00% / [[352, 4, 0], [4, 262, 0], [0, 0, 178]], * Val accuracy / confusion: 55.96% / [[153, 47, 30], [58, 77, 40], [26, 28, 61]] ------------------------------ Epoch 1123 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.097473 - Iter 024 / 025, Loss: 0.007659 * Train accuracy / confusion: 99.25% / [[355, 0, 0], [4, 266, 0], [0, 2, 173]], * Val accuracy / confusion: 57.69% / [[154, 43, 33], [59, 77, 39], [23, 23, 69]] ------------------------------ Epoch 1124 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.100795 - Iter 024 / 025, Loss: 0.069347 * Train accuracy / confusion: 98.75% / [[353, 3, 1], [2, 263, 1], [2, 1, 174]], * Val accuracy / confusion: 55.00% / [[150, 47, 33], [66, 72, 37], [23, 28, 64]] ------------------------------ Epoch 1125 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.102208 - Iter 024 / 025, Loss: 0.213034 * Train accuracy / confusion: 98.88% / [[361, 1, 1], [5, 259, 2], [0, 0, 171]], * Val accuracy / confusion: 55.00% / [[155, 44, 31], [67, 70, 38], [19, 35, 61]] ------------------------------ Epoch 1126 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.002450 - Iter 024 / 025, Loss: 0.020144 * Train accuracy / confusion: 98.88% / [[353, 2, 0], [4, 261, 1], [1, 1, 177]], * Val accuracy / confusion: 54.23% / [[146, 46, 38], [63, 64, 48], [23, 20, 72]] ------------------------------ Epoch 1127 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.014002 - Iter 024 / 025, Loss: 0.000989 * Train accuracy / confusion: 98.62% / [[352, 5, 1], [2, 265, 1], [2, 0, 172]], * Val accuracy / confusion: 56.35% / [[157, 41, 32], [55, 77, 43], [20, 36, 59]] ------------------------------ Epoch 1128 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016078 - Iter 024 / 025, Loss: 0.010395 * Train accuracy / confusion: 99.88% / [[351, 0, 0], [1, 273, 0], [0, 0, 175]], * Val accuracy / confusion: 54.81% / [[146, 49, 35], [70, 70, 35], [18, 28, 69]] ------------------------------ Epoch 1129 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016962 - Iter 024 / 025, Loss: 0.008095 * Train accuracy / confusion: 99.62% / [[355, 2, 0], [1, 266, 0], [0, 0, 176]], * Val accuracy / confusion: 54.81% / [[153, 37, 40], [64, 72, 39], [18, 37, 60]] ------------------------------ Epoch 1130 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.034193 - Iter 024 / 025, Loss: 0.091137 * Train accuracy / confusion: 99.00% / [[357, 2, 2], [3, 262, 1], [0, 0, 173]], * Val accuracy / confusion: 55.38% / [[147, 54, 29], [54, 78, 43], [15, 37, 63]] ------------------------------ Epoch 1131 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.001222 - Iter 024 / 025, Loss: 0.027734 * Train accuracy / confusion: 98.75% / [[352, 3, 0], [4, 265, 1], [2, 0, 173]], * Val accuracy / confusion: 58.08% / [[160, 47, 23], [62, 73, 40], [19, 27, 69]] ------------------------------ Epoch 1132 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.015951 - Iter 024 / 025, Loss: 0.056491 * Train accuracy / confusion: 98.50% / [[352, 0, 1], [4, 263, 2], [1, 4, 173]], * Val accuracy / confusion: 58.65% / [[159, 38, 33], [55, 76, 44], [17, 28, 70]] ------------------------------ Epoch 1133 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.090762 - Iter 024 / 025, Loss: 0.088004 * Train accuracy / confusion: 98.50% / [[353, 3, 0], [4, 260, 1], [2, 2, 175]], * Val accuracy / confusion: 55.96% / [[151, 45, 34], [63, 79, 33], [21, 33, 61]] ------------------------------ Epoch 1134 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.012080 - Iter 024 / 025, Loss: 0.004375 * Train accuracy / confusion: 99.25% / [[355, 1, 0], [2, 263, 2], [0, 1, 176]], * Val accuracy / confusion: 55.77% / [[158, 39, 33], [71, 74, 30], [21, 36, 58]] ------------------------------ Epoch 1135 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.019515 - Iter 024 / 025, Loss: 0.001664 * Train accuracy / confusion: 98.62% / [[355, 3, 0], [5, 265, 0], [1, 2, 169]], * Val accuracy / confusion: 57.88% / [[152, 48, 30], [63, 81, 31], [20, 27, 68]] ------------------------------ Epoch 1136 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.091477 - Iter 024 / 025, Loss: 0.003254 * Train accuracy / confusion: 99.50% / [[357, 0, 0], [1, 265, 1], [1, 1, 174]], * Val accuracy / confusion: 57.31% / [[153, 51, 26], [58, 79, 38], [16, 33, 66]] ------------------------------ Epoch 1137 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.007818 - Iter 024 / 025, Loss: 0.000811 * Train accuracy / confusion: 98.62% / [[349, 3, 1], [3, 263, 2], [0, 2, 177]], * Val accuracy / confusion: 55.58% / [[146, 55, 29], [58, 82, 35], [19, 35, 61]] ------------------------------ Epoch 1138 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.067936 - Iter 024 / 025, Loss: 0.009879 * Train accuracy / confusion: 98.75% / [[349, 4, 1], [3, 266, 1], [0, 1, 175]], * Val accuracy / confusion: 60.38% / [[171, 29, 30], [65, 78, 32], [19, 31, 65]] ------------------------------ Epoch 1139 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.001505 - Iter 024 / 025, Loss: 0.005921 * Train accuracy / confusion: 99.50% / [[352, 0, 0], [2, 268, 0], [2, 0, 176]], * Val accuracy / confusion: 56.73% / [[163, 36, 31], [63, 73, 39], [27, 29, 59]] ------------------------------ Epoch 1140 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.018898 - Iter 024 / 025, Loss: 0.015779 * Train accuracy / confusion: 99.00% / [[350, 3, 2], [2, 266, 0], [0, 1, 176]], * Val accuracy / confusion: 59.04% / [[160, 39, 31], [62, 79, 34], [16, 31, 68]] ------------------------------ Epoch 1141 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.009249 - Iter 024 / 025, Loss: 0.001278 * Train accuracy / confusion: 99.38% / [[349, 1, 1], [2, 266, 1], [0, 0, 180]], * Val accuracy / confusion: 55.96% / [[155, 47, 28], [64, 78, 33], [20, 37, 58]] ------------------------------ Epoch 1142 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.015047 - Iter 024 / 025, Loss: 0.022742 * Train accuracy / confusion: 99.50% / [[354, 1, 0], [1, 264, 1], [1, 0, 178]], * Val accuracy / confusion: 56.92% / [[156, 40, 34], [71, 70, 34], [15, 30, 70]] ------------------------------ Epoch 1143 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.082096 - Iter 024 / 025, Loss: 0.004979 * Train accuracy / confusion: 98.88% / [[355, 1, 1], [5, 264, 0], [2, 0, 172]], * Val accuracy / confusion: 59.23% / [[165, 30, 35], [65, 77, 33], [25, 24, 66]] ------------------------------ Epoch 1144 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.006970 - Iter 024 / 025, Loss: 0.001856 * Train accuracy / confusion: 99.12% / [[356, 1, 1], [2, 265, 1], [1, 1, 172]], * Val accuracy / confusion: 55.58% / [[156, 42, 32], [67, 72, 36], [19, 35, 61]] ------------------------------ Epoch 1145 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.020256 - Iter 024 / 025, Loss: 0.025648 * Train accuracy / confusion: 98.38% / [[348, 4, 2], [4, 265, 2], [1, 0, 174]], * Val accuracy / confusion: 55.19% / [[144, 53, 33], [66, 72, 37], [16, 28, 71]] ------------------------------ Epoch 1146 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.092172 - Iter 024 / 025, Loss: 0.037183 * Train accuracy / confusion: 98.88% / [[349, 2, 2], [3, 266, 1], [1, 0, 176]], * Val accuracy / confusion: 55.19% / [[155, 44, 31], [63, 74, 38], [22, 35, 58]] ------------------------------ Epoch 1147 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.146488 - Iter 024 / 025, Loss: 0.002154 * Train accuracy / confusion: 99.12% / [[356, 2, 0], [1, 266, 1], [1, 2, 171]], * Val accuracy / confusion: 55.00% / [[149, 57, 24], [65, 80, 30], [21, 37, 57]] ------------------------------ Epoch 1148 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.055555 - Iter 024 / 025, Loss: 0.001776 * Train accuracy / confusion: 98.62% / [[352, 3, 0], [3, 260, 3], [0, 2, 177]], * Val accuracy / confusion: 55.19% / [[158, 38, 34], [64, 69, 42], [24, 31, 60]] ------------------------------ Epoch 1149 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.004732 - Iter 024 / 025, Loss: 0.054231 * Train accuracy / confusion: 99.25% / [[353, 1, 0], [4, 266, 1], [0, 0, 175]], * Val accuracy / confusion: 56.73% / [[159, 38, 33], [64, 68, 43], [15, 32, 68]] ------------------------------ Epoch 1150 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.004417 - Iter 024 / 025, Loss: 0.007963 * Train accuracy / confusion: 99.00% / [[350, 2, 2], [3, 267, 0], [0, 1, 175]], * Val accuracy / confusion: 54.04% / [[147, 46, 37], [59, 74, 42], [24, 31, 60]] ------------------------------ Epoch 1151 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016726 - Iter 024 / 025, Loss: 0.001558 * Train accuracy / confusion: 99.12% / [[353, 4, 0], [1, 270, 0], [1, 1, 170]], * Val accuracy / confusion: 56.54% / [[157, 41, 32], [63, 71, 41], [22, 27, 66]] ------------------------------ Epoch 1152 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.019920 - Iter 024 / 025, Loss: 0.003153 * Train accuracy / confusion: 98.88% / [[354, 2, 0], [4, 263, 0], [3, 0, 174]], * Val accuracy / confusion: 55.19% / [[161, 34, 35], [62, 70, 43], [25, 34, 56]] ------------------------------ Epoch 1153 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016478 - Iter 024 / 025, Loss: 0.004493 * Train accuracy / confusion: 99.50% / [[360, 1, 0], [1, 267, 2], [0, 0, 169]], * Val accuracy / confusion: 55.19% / [[157, 31, 42], [64, 69, 42], [24, 30, 61]] ------------------------------ Epoch 1154 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.004089 - Iter 024 / 025, Loss: 0.012984 * Train accuracy / confusion: 98.50% / [[351, 1, 1], [6, 263, 0], [2, 2, 174]], * Val accuracy / confusion: 55.58% / [[148, 43, 39], [67, 76, 32], [21, 29, 65]] ------------------------------ Epoch 1155 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.002318 - Iter 024 / 025, Loss: 0.018610 * Train accuracy / confusion: 99.00% / [[354, 1, 0], [4, 265, 2], [0, 1, 173]], * Val accuracy / confusion: 56.15% / [[154, 49, 27], [67, 76, 32], [18, 35, 62]] ------------------------------ Epoch 1156 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.008111 - Iter 024 / 025, Loss: 0.004237 * Train accuracy / confusion: 99.62% / [[358, 1, 0], [2, 261, 0], [0, 0, 178]], * Val accuracy / confusion: 56.73% / [[154, 42, 34], [60, 78, 37], [22, 30, 63]] ------------------------------ Epoch 1157 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.072821 - Iter 024 / 025, Loss: 0.001478 * Train accuracy / confusion: 98.38% / [[353, 4, 1], [3, 263, 2], [0, 3, 171]], * Val accuracy / confusion: 56.35% / [[154, 39, 37], [62, 67, 46], [19, 24, 72]] ------------------------------ Epoch 1158 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.002367 - Iter 024 / 025, Loss: 0.004565 * Train accuracy / confusion: 99.38% / [[349, 2, 0], [1, 271, 0], [0, 2, 175]], * Val accuracy / confusion: 54.42% / [[152, 43, 35], [68, 70, 37], [21, 33, 61]] ------------------------------ Epoch 1159 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.001192 - Iter 024 / 025, Loss: 0.006021 * Train accuracy / confusion: 98.12% / [[352, 2, 1], [5, 259, 3], [1, 3, 174]], * Val accuracy / confusion: 54.23% / [[148, 48, 34], [65, 69, 41], [16, 34, 65]] ------------------------------ Epoch 1160 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.031728 - Iter 024 / 025, Loss: 0.003749 * Train accuracy / confusion: 98.88% / [[354, 2, 1], [3, 261, 2], [0, 1, 176]], * Val accuracy / confusion: 52.69% / [[157, 36, 37], [76, 60, 39], [20, 38, 57]] ------------------------------ Epoch 1161 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.008845 - Iter 024 / 025, Loss: 0.213386 * Train accuracy / confusion: 99.00% / [[357, 3, 0], [2, 265, 2], [0, 1, 170]], * Val accuracy / confusion: 56.54% / [[151, 44, 35], [63, 79, 33], [17, 34, 64]] ------------------------------ Epoch 1162 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.003060 - Iter 024 / 025, Loss: 0.016603 * Train accuracy / confusion: 98.25% / [[351, 3, 2], [3, 262, 1], [2, 3, 173]], * Val accuracy / confusion: 55.96% / [[153, 47, 30], [62, 80, 33], [24, 33, 58]] ------------------------------ Epoch 1163 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.021161 - Iter 024 / 025, Loss: 0.004488 * Train accuracy / confusion: 98.88% / [[351, 2, 0], [4, 262, 2], [0, 1, 178]], * Val accuracy / confusion: 55.19% / [[147, 47, 36], [70, 69, 36], [18, 26, 71]] ------------------------------ Epoch 1164 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.020323 - Iter 024 / 025, Loss: 0.006074 * Train accuracy / confusion: 99.00% / [[357, 2, 0], [4, 264, 1], [0, 1, 171]], * Val accuracy / confusion: 56.73% / [[149, 42, 39], [59, 79, 37], [23, 25, 67]] ------------------------------ Epoch 1165 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.281835 - Iter 024 / 025, Loss: 0.016383 * Train accuracy / confusion: 99.12% / [[352, 1, 2], [2, 264, 1], [0, 1, 177]], * Val accuracy / confusion: 55.19% / [[156, 40, 34], [70, 65, 40], [25, 24, 66]] ------------------------------ Epoch 1166 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.103757 - Iter 024 / 025, Loss: 0.061378 * Train accuracy / confusion: 98.25% / [[351, 6, 1], [2, 264, 1], [3, 1, 171]], * Val accuracy / confusion: 55.58% / [[146, 47, 37], [57, 78, 40], [22, 28, 65]] ------------------------------ Epoch 1167 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.018059 - Iter 024 / 025, Loss: 0.019647 * Train accuracy / confusion: 99.38% / [[356, 1, 0], [1, 267, 1], [2, 0, 172]], * Val accuracy / confusion: 55.38% / [[155, 46, 29], [59, 73, 43], [18, 37, 60]] ------------------------------ Epoch 1168 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.001295 - Iter 024 / 025, Loss: 0.075234 * Train accuracy / confusion: 99.12% / [[356, 1, 0], [3, 262, 2], [0, 1, 175]], * Val accuracy / confusion: 56.35% / [[160, 42, 28], [64, 76, 35], [26, 32, 57]] ------------------------------ Epoch 1169 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.001052 - Iter 024 / 025, Loss: 0.001996 * Train accuracy / confusion: 99.50% / [[359, 0, 0], [3, 261, 1], [0, 0, 176]], * Val accuracy / confusion: 53.46% / [[149, 50, 31], [63, 69, 43], [18, 37, 60]] ------------------------------ Epoch 1170 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.048512 - Iter 024 / 025, Loss: 0.002229 * Train accuracy / confusion: 99.62% / [[356, 1, 1], [1, 268, 0], [0, 0, 173]], * Val accuracy / confusion: 57.12% / [[162, 39, 29], [61, 76, 38], [20, 36, 59]] ------------------------------ Epoch 1171 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.033090 - Iter 024 / 025, Loss: 0.127179 * Train accuracy / confusion: 99.12% / [[354, 2, 1], [0, 268, 0], [3, 1, 171]], * Val accuracy / confusion: 57.50% / [[164, 43, 23], [66, 71, 38], [23, 28, 64]] ------------------------------ Epoch 1172 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.011328 - Iter 024 / 025, Loss: 0.006898 * Train accuracy / confusion: 98.75% / [[346, 4, 2], [3, 268, 1], [0, 0, 176]], * Val accuracy / confusion: 57.69% / [[161, 42, 27], [63, 80, 32], [20, 36, 59]] ------------------------------ Epoch 1173 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005344 - Iter 024 / 025, Loss: 0.031804 * Train accuracy / confusion: 99.12% / [[351, 2, 0], [3, 269, 0], [0, 2, 173]], * Val accuracy / confusion: 55.00% / [[159, 36, 35], [65, 70, 40], [20, 38, 57]] ------------------------------ Epoch 1174 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005987 - Iter 024 / 025, Loss: 0.011044 * Train accuracy / confusion: 99.25% / [[356, 0, 0], [3, 264, 1], [0, 2, 174]], * Val accuracy / confusion: 55.58% / [[154, 46, 30], [62, 75, 38], [19, 36, 60]] ------------------------------ Epoch 1175 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.014984 - Iter 024 / 025, Loss: 0.005157 * Train accuracy / confusion: 99.00% / [[357, 2, 0], [2, 265, 1], [1, 2, 170]], * Val accuracy / confusion: 58.85% / [[160, 38, 32], [57, 82, 36], [22, 29, 64]] ------------------------------ Epoch 1176 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.081016 - Iter 024 / 025, Loss: 0.002077 * Train accuracy / confusion: 99.62% / [[358, 0, 0], [2, 262, 0], [1, 0, 177]], * Val accuracy / confusion: 55.96% / [[153, 47, 30], [58, 76, 41], [21, 32, 62]] ------------------------------ Epoch 1177 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.006419 - Iter 024 / 025, Loss: 0.056354 * Train accuracy / confusion: 99.00% / [[359, 2, 1], [2, 263, 2], [0, 1, 170]], * Val accuracy / confusion: 55.96% / [[154, 42, 34], [56, 75, 44], [18, 35, 62]] ------------------------------ Epoch 1178 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.014528 - Iter 024 / 025, Loss: 0.014770 * Train accuracy / confusion: 99.25% / [[350, 2, 0], [2, 267, 1], [0, 1, 177]], * Val accuracy / confusion: 53.85% / [[151, 44, 35], [66, 70, 39], [23, 33, 59]] ------------------------------ Epoch 1179 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.002956 - Iter 024 / 025, Loss: 0.021567 * Train accuracy / confusion: 99.38% / [[351, 3, 0], [0, 267, 1], [0, 1, 177]], * Val accuracy / confusion: 55.77% / [[152, 48, 30], [59, 70, 46], [17, 30, 68]] ------------------------------ Epoch 1180 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.001119 - Iter 024 / 025, Loss: 0.011396 * Train accuracy / confusion: 99.38% / [[356, 1, 0], [1, 262, 1], [0, 2, 177]], * Val accuracy / confusion: 55.00% / [[152, 46, 32], [67, 68, 40], [23, 26, 66]] ------------------------------ Epoch 1181 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.069608 - Iter 024 / 025, Loss: 0.005993 * Train accuracy / confusion: 98.75% / [[358, 4, 1], [3, 262, 2], [0, 0, 170]], * Val accuracy / confusion: 55.19% / [[153, 38, 39], [58, 70, 47], [20, 31, 64]] ------------------------------ Epoch 1182 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.007853 - Iter 024 / 025, Loss: 0.001528 * Train accuracy / confusion: 99.00% / [[358, 1, 1], [4, 258, 1], [0, 1, 176]], * Val accuracy / confusion: 55.96% / [[159, 50, 21], [64, 71, 40], [21, 33, 61]] ------------------------------ Epoch 1183 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.009659 - Iter 024 / 025, Loss: 0.004231 * Train accuracy / confusion: 98.38% / [[352, 2, 2], [6, 259, 0], [2, 1, 176]], * Val accuracy / confusion: 56.35% / [[159, 42, 29], [67, 70, 38], [23, 28, 64]] ------------------------------ Epoch 1184 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.115528 - Iter 024 / 025, Loss: 0.025044 * Train accuracy / confusion: 98.88% / [[352, 5, 1], [2, 265, 0], [1, 0, 174]], * Val accuracy / confusion: 52.69% / [[143, 53, 34], [67, 71, 37], [23, 32, 60]] ------------------------------ Epoch 1185 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.019802 - Iter 024 / 025, Loss: 0.003591 * Train accuracy / confusion: 99.38% / [[356, 2, 0], [3, 263, 0], [0, 0, 176]], * Val accuracy / confusion: 55.58% / [[149, 50, 31], [58, 77, 40], [20, 32, 63]] ------------------------------ Epoch 1186 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.011638 - Iter 024 / 025, Loss: 0.037983 * Train accuracy / confusion: 99.50% / [[352, 1, 0], [3, 265, 0], [0, 0, 179]], * Val accuracy / confusion: 52.31% / [[148, 52, 30], [67, 71, 37], [24, 38, 53]] ------------------------------ Epoch 1187 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.007219 - Iter 024 / 025, Loss: 0.012115 * Train accuracy / confusion: 99.00% / [[354, 3, 0], [2, 263, 1], [2, 0, 175]], * Val accuracy / confusion: 56.15% / [[152, 45, 33], [57, 81, 37], [23, 33, 59]] ------------------------------ Epoch 1188 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.001199 - Iter 024 / 025, Loss: 0.118487 * Train accuracy / confusion: 99.50% / [[355, 0, 1], [2, 267, 0], [0, 1, 174]], * Val accuracy / confusion: 55.96% / [[151, 53, 26], [55, 80, 40], [21, 34, 60]] ------------------------------ Epoch 1189 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.017529 - Iter 024 / 025, Loss: 0.011900 * Train accuracy / confusion: 99.12% / [[352, 2, 0], [3, 265, 0], [1, 1, 176]], * Val accuracy / confusion: 56.35% / [[151, 52, 27], [66, 78, 31], [20, 31, 64]] ------------------------------ Epoch 1190 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.025712 - Iter 024 / 025, Loss: 0.011175 * Train accuracy / confusion: 99.00% / [[349, 2, 0], [2, 269, 2], [1, 1, 174]], * Val accuracy / confusion: 58.46% / [[161, 36, 33], [65, 76, 34], [22, 26, 67]] ------------------------------ Epoch 1191 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.039835 - Iter 024 / 025, Loss: 0.003139 * Train accuracy / confusion: 98.88% / [[357, 2, 1], [3, 264, 1], [1, 1, 170]], * Val accuracy / confusion: 53.27% / [[146, 56, 28], [73, 72, 30], [24, 32, 59]] ------------------------------ Epoch 1192 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.006937 - Iter 024 / 025, Loss: 0.007955 * Train accuracy / confusion: 99.50% / [[357, 1, 0], [1, 263, 1], [1, 0, 176]], * Val accuracy / confusion: 52.69% / [[154, 45, 31], [80, 62, 33], [20, 37, 58]] ------------------------------ Epoch 1193 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.005859 - Iter 024 / 025, Loss: 0.012954 * Train accuracy / confusion: 99.00% / [[353, 2, 2], [4, 263, 0], [0, 0, 176]], * Val accuracy / confusion: 57.50% / [[156, 47, 27], [61, 78, 36], [21, 29, 65]] ------------------------------ Epoch 1194 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.002069 - Iter 024 / 025, Loss: 0.023859 * Train accuracy / confusion: 98.50% / [[357, 0, 2], [6, 257, 1], [0, 3, 174]], * Val accuracy / confusion: 58.08% / [[153, 54, 23], [58, 87, 30], [21, 32, 62]] ------------------------------ Epoch 1195 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.024952 - Iter 024 / 025, Loss: 0.006591 * Train accuracy / confusion: 99.25% / [[350, 3, 1], [0, 268, 0], [1, 1, 176]], * Val accuracy / confusion: 57.12% / [[161, 38, 31], [65, 74, 36], [23, 30, 62]] ------------------------------ Epoch 1196 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.003881 - Iter 024 / 025, Loss: 0.073381 * Train accuracy / confusion: 98.25% / [[351, 4, 1], [7, 261, 0], [1, 1, 174]], * Val accuracy / confusion: 58.65% / [[161, 40, 29], [62, 79, 34], [20, 30, 65]] ------------------------------ Epoch 1197 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.003940 - Iter 024 / 025, Loss: 0.064528 * Train accuracy / confusion: 98.50% / [[354, 4, 0], [3, 262, 2], [1, 2, 172]], * Val accuracy / confusion: 59.04% / [[147, 48, 35], [50, 86, 39], [15, 26, 74]] ------------------------------ Epoch 1198 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.016274 - Iter 024 / 025, Loss: 0.037790 * Train accuracy / confusion: 98.12% / [[353, 5, 1], [6, 261, 2], [0, 1, 171]], * Val accuracy / confusion: 59.04% / [[161, 41, 28], [56, 77, 42], [17, 29, 69]] ------------------------------ Epoch 1199 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.012750 - Iter 024 / 025, Loss: 0.023961 * Train accuracy / confusion: 99.12% / [[354, 1, 0], [1, 264, 2], [1, 2, 175]], * Val accuracy / confusion: 56.73% / [[162, 46, 22], [71, 67, 37], [19, 30, 66]] ------------------------------ Epoch 1200 / 2000, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.001175 - Iter 024 / 025, Loss: 0.013883 * Train accuracy / confusion: 98.88% / [[350, 2, 1], [2, 264, 2], [1, 1, 177]], * Val accuracy / confusion: 56.15% / [[160, 41, 29], [75, 71, 29], [19, 35, 61]] ------------------------------ Epoch 1201 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024571 - Iter 024 / 025, Loss: 0.001789 * Train accuracy / confusion: 99.12% / [[349, 4, 1], [1, 271, 0], [0, 1, 173]], * Val accuracy / confusion: 57.69% / [[161, 37, 32], [62, 79, 34], [22, 33, 60]] ------------------------------ Epoch 1202 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005728 - Iter 024 / 025, Loss: 0.010143 * Train accuracy / confusion: 99.00% / [[352, 3, 0], [3, 266, 0], [2, 0, 174]], * Val accuracy / confusion: 57.31% / [[161, 43, 26], [57, 80, 38], [23, 35, 57]] ------------------------------ Epoch 1203 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.008620 - Iter 024 / 025, Loss: 0.012481 * Train accuracy / confusion: 99.25% / [[357, 1, 0], [2, 265, 0], [1, 2, 172]], * Val accuracy / confusion: 59.81% / [[171, 39, 20], [63, 75, 37], [17, 33, 65]] ------------------------------ Epoch 1204 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.026763 - Iter 024 / 025, Loss: 0.010178 * Train accuracy / confusion: 99.38% / [[355, 0, 1], [2, 268, 0], [0, 2, 172]], * Val accuracy / confusion: 55.96% / [[151, 52, 27], [68, 78, 29], [23, 30, 62]] ------------------------------ Epoch 1205 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.019285 - Iter 024 / 025, Loss: 0.001917 * Train accuracy / confusion: 98.88% / [[354, 1, 1], [4, 265, 3], [0, 0, 172]], * Val accuracy / confusion: 55.38% / [[154, 47, 29], [69, 69, 37], [18, 32, 65]] ------------------------------ Epoch 1206 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002115 - Iter 024 / 025, Loss: 0.001279 * Train accuracy / confusion: 99.00% / [[354, 2, 1], [4, 260, 1], [0, 0, 178]], * Val accuracy / confusion: 57.88% / [[162, 37, 31], [65, 77, 33], [21, 32, 62]] ------------------------------ Epoch 1207 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004244 - Iter 024 / 025, Loss: 0.001389 * Train accuracy / confusion: 99.25% / [[352, 4, 0], [1, 264, 0], [0, 1, 178]], * Val accuracy / confusion: 57.88% / [[160, 35, 35], [60, 80, 35], [18, 36, 61]] ------------------------------ Epoch 1208 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.031446 - Iter 024 / 025, Loss: 0.018242 * Train accuracy / confusion: 99.38% / [[357, 2, 0], [1, 264, 1], [0, 1, 174]], * Val accuracy / confusion: 56.35% / [[152, 48, 30], [70, 72, 33], [18, 28, 69]] ------------------------------ Epoch 1209 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012857 - Iter 024 / 025, Loss: 0.003003 * Train accuracy / confusion: 99.38% / [[358, 1, 0], [3, 265, 0], [1, 0, 172]], * Val accuracy / confusion: 57.69% / [[166, 40, 24], [63, 81, 31], [25, 37, 53]] ------------------------------ Epoch 1210 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.040866 - Iter 024 / 025, Loss: 0.011881 * Train accuracy / confusion: 98.75% / [[355, 2, 1], [5, 261, 1], [0, 1, 174]], * Val accuracy / confusion: 55.38% / [[154, 46, 30], [69, 72, 34], [20, 33, 62]] ------------------------------ Epoch 1211 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.061353 - Iter 024 / 025, Loss: 0.014328 * Train accuracy / confusion: 99.38% / [[355, 1, 0], [2, 262, 1], [1, 0, 178]], * Val accuracy / confusion: 57.31% / [[156, 44, 30], [64, 81, 30], [21, 33, 61]] ------------------------------ Epoch 1212 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006662 - Iter 024 / 025, Loss: 0.053335 * Train accuracy / confusion: 98.88% / [[355, 6, 0], [2, 265, 0], [0, 1, 171]], * Val accuracy / confusion: 59.62% / [[162, 36, 32], [61, 80, 34], [14, 33, 68]] ------------------------------ Epoch 1213 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.037225 - Iter 024 / 025, Loss: 0.005691 * Train accuracy / confusion: 98.62% / [[349, 4, 0], [3, 266, 0], [1, 3, 174]], * Val accuracy / confusion: 57.88% / [[158, 43, 29], [63, 79, 33], [19, 32, 64]] ------------------------------ Epoch 1214 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006694 - Iter 024 / 025, Loss: 0.016271 * Train accuracy / confusion: 99.38% / [[358, 1, 0], [2, 265, 1], [0, 1, 172]], * Val accuracy / confusion: 54.62% / [[155, 47, 28], [74, 68, 33], [19, 35, 61]] ------------------------------ Epoch 1215 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002549 - Iter 024 / 025, Loss: 0.047473 * Train accuracy / confusion: 98.88% / [[350, 3, 0], [1, 265, 3], [1, 1, 176]], * Val accuracy / confusion: 59.04% / [[167, 33, 30], [62, 76, 37], [22, 29, 64]] ------------------------------ Epoch 1216 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010733 - Iter 024 / 025, Loss: 0.007760 * Train accuracy / confusion: 99.12% / [[353, 1, 2], [4, 265, 0], [0, 0, 175]], * Val accuracy / confusion: 55.19% / [[151, 45, 34], [62, 73, 40], [20, 32, 63]] ------------------------------ Epoch 1217 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.014330 - Iter 024 / 025, Loss: 0.013038 * Train accuracy / confusion: 99.00% / [[351, 2, 1], [2, 265, 1], [0, 2, 176]], * Val accuracy / confusion: 55.19% / [[149, 43, 38], [65, 73, 37], [18, 32, 65]] ------------------------------ Epoch 1218 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010689 - Iter 024 / 025, Loss: 0.026581 * Train accuracy / confusion: 99.25% / [[352, 1, 2], [2, 266, 0], [1, 0, 176]], * Val accuracy / confusion: 57.88% / [[167, 35, 28], [77, 71, 27], [23, 29, 63]] ------------------------------ Epoch 1219 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002038 - Iter 024 / 025, Loss: 0.015347 * Train accuracy / confusion: 99.12% / [[352, 2, 0], [1, 268, 1], [2, 1, 173]], * Val accuracy / confusion: 57.50% / [[168, 43, 19], [68, 75, 32], [23, 36, 56]] ------------------------------ Epoch 1220 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009216 - Iter 024 / 025, Loss: 0.028383 * Train accuracy / confusion: 99.25% / [[354, 1, 1], [2, 263, 1], [0, 1, 177]], * Val accuracy / confusion: 57.31% / [[159, 42, 29], [66, 73, 36], [21, 28, 66]] ------------------------------ Epoch 1221 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003202 - Iter 024 / 025, Loss: 0.010847 * Train accuracy / confusion: 99.00% / [[351, 2, 1], [2, 264, 2], [1, 0, 177]], * Val accuracy / confusion: 56.73% / [[156, 43, 31], [62, 78, 35], [21, 33, 61]] ------------------------------ Epoch 1222 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001102 - Iter 024 / 025, Loss: 0.002637 * Train accuracy / confusion: 99.38% / [[355, 0, 1], [3, 263, 0], [1, 0, 177]], * Val accuracy / confusion: 56.54% / [[155, 47, 28], [64, 79, 32], [18, 37, 60]] ------------------------------ Epoch 1223 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006271 - Iter 024 / 025, Loss: 0.011899 * Train accuracy / confusion: 99.38% / [[349, 0, 2], [2, 267, 1], [0, 0, 179]], * Val accuracy / confusion: 58.65% / [[160, 40, 30], [65, 81, 29], [21, 30, 64]] ------------------------------ Epoch 1224 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.045133 - Iter 024 / 025, Loss: 0.103545 * Train accuracy / confusion: 99.00% / [[356, 2, 1], [4, 262, 0], [0, 1, 174]], * Val accuracy / confusion: 55.77% / [[153, 48, 29], [63, 75, 37], [26, 27, 62]] ------------------------------ Epoch 1225 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001303 - Iter 024 / 025, Loss: 0.012383 * Train accuracy / confusion: 99.38% / [[356, 0, 0], [3, 268, 0], [0, 2, 171]], * Val accuracy / confusion: 61.35% / [[164, 34, 32], [55, 89, 31], [24, 25, 66]] ------------------------------ Epoch 1226 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018814 - Iter 024 / 025, Loss: 0.009460 * Train accuracy / confusion: 99.12% / [[353, 2, 3], [1, 262, 1], [0, 0, 178]], * Val accuracy / confusion: 56.15% / [[157, 45, 28], [68, 77, 30], [20, 37, 58]] ------------------------------ Epoch 1227 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001409 - Iter 024 / 025, Loss: 0.004257 * Train accuracy / confusion: 99.25% / [[351, 2, 0], [4, 265, 0], [0, 0, 178]], * Val accuracy / confusion: 57.50% / [[157, 44, 29], [59, 75, 41], [19, 29, 67]] ------------------------------ Epoch 1228 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011167 - Iter 024 / 025, Loss: 0.015710 * Train accuracy / confusion: 99.25% / [[354, 0, 1], [2, 263, 0], [1, 2, 177]], * Val accuracy / confusion: 57.88% / [[154, 50, 26], [55, 80, 40], [22, 26, 67]] ------------------------------ Epoch 1229 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.021156 - Iter 024 / 025, Loss: 0.009833 * Train accuracy / confusion: 99.38% / [[351, 2, 0], [1, 267, 1], [1, 0, 177]], * Val accuracy / confusion: 55.38% / [[158, 43, 29], [77, 72, 26], [21, 36, 58]] ------------------------------ Epoch 1230 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007803 - Iter 024 / 025, Loss: 0.005079 * Train accuracy / confusion: 99.12% / [[351, 1, 0], [2, 265, 3], [1, 0, 177]], * Val accuracy / confusion: 58.27% / [[158, 40, 32], [70, 75, 30], [20, 25, 70]] ------------------------------ Epoch 1231 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.014714 - Iter 024 / 025, Loss: 0.217354 * Train accuracy / confusion: 99.00% / [[352, 5, 1], [0, 266, 1], [0, 1, 174]], * Val accuracy / confusion: 57.31% / [[155, 40, 35], [58, 77, 40], [20, 29, 66]] ------------------------------ Epoch 1232 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001750 - Iter 024 / 025, Loss: 0.000473 * Train accuracy / confusion: 99.25% / [[352, 1, 1], [2, 268, 0], [1, 1, 174]], * Val accuracy / confusion: 57.50% / [[163, 42, 25], [66, 71, 38], [22, 28, 65]] ------------------------------ Epoch 1233 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.014002 - Iter 024 / 025, Loss: 0.001761 * Train accuracy / confusion: 98.88% / [[354, 3, 0], [2, 265, 1], [1, 2, 172]], * Val accuracy / confusion: 57.88% / [[165, 39, 26], [71, 79, 25], [22, 36, 57]] ------------------------------ Epoch 1234 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.055728 - Iter 024 / 025, Loss: 0.001136 * Train accuracy / confusion: 99.12% / [[355, 1, 0], [3, 266, 2], [0, 1, 172]], * Val accuracy / confusion: 55.96% / [[154, 50, 26], [67, 77, 31], [21, 34, 60]] ------------------------------ Epoch 1235 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009452 - Iter 024 / 025, Loss: 0.001197 * Train accuracy / confusion: 98.75% / [[350, 2, 0], [7, 263, 0], [0, 1, 177]], * Val accuracy / confusion: 58.27% / [[166, 38, 26], [73, 74, 28], [24, 28, 63]] ------------------------------ Epoch 1236 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009562 - Iter 024 / 025, Loss: 0.062710 * Train accuracy / confusion: 99.00% / [[352, 0, 0], [3, 267, 3], [1, 1, 173]], * Val accuracy / confusion: 57.69% / [[170, 35, 25], [69, 68, 38], [23, 30, 62]] ------------------------------ Epoch 1237 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.100536 - Iter 024 / 025, Loss: 0.013451 * Train accuracy / confusion: 99.25% / [[353, 3, 1], [2, 263, 0], [0, 0, 178]], * Val accuracy / confusion: 59.23% / [[162, 37, 31], [59, 85, 31], [19, 35, 61]] ------------------------------ Epoch 1238 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005875 - Iter 024 / 025, Loss: 0.014970 * Train accuracy / confusion: 99.12% / [[352, 1, 0], [4, 265, 1], [1, 0, 176]], * Val accuracy / confusion: 56.54% / [[157, 41, 32], [61, 75, 39], [21, 32, 62]] ------------------------------ Epoch 1239 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006253 - Iter 024 / 025, Loss: 0.164144 * Train accuracy / confusion: 99.25% / [[354, 2, 1], [2, 263, 1], [0, 0, 177]], * Val accuracy / confusion: 56.54% / [[160, 38, 32], [70, 68, 37], [21, 28, 66]] ------------------------------ Epoch 1240 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.030539 - Iter 024 / 025, Loss: 0.022050 * Train accuracy / confusion: 99.50% / [[358, 2, 0], [1, 259, 1], [0, 0, 179]], * Val accuracy / confusion: 59.62% / [[165, 37, 28], [61, 82, 32], [20, 32, 63]] ------------------------------ Epoch 1241 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006923 - Iter 024 / 025, Loss: 0.007053 * Train accuracy / confusion: 98.88% / [[353, 1, 0], [5, 265, 0], [0, 3, 173]], * Val accuracy / confusion: 56.54% / [[155, 43, 32], [64, 74, 37], [22, 28, 65]] ------------------------------ Epoch 1242 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010528 - Iter 024 / 025, Loss: 0.034022 * Train accuracy / confusion: 99.12% / [[348, 1, 2], [4, 267, 0], [0, 0, 178]], * Val accuracy / confusion: 57.69% / [[160, 39, 31], [60, 85, 30], [25, 35, 55]] ------------------------------ Epoch 1243 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002174 - Iter 024 / 025, Loss: 0.033679 * Train accuracy / confusion: 99.38% / [[359, 0, 0], [1, 264, 3], [0, 1, 172]], * Val accuracy / confusion: 57.12% / [[160, 38, 32], [70, 71, 34], [19, 30, 66]] ------------------------------ Epoch 1244 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.034329 - Iter 024 / 025, Loss: 0.049206 * Train accuracy / confusion: 98.62% / [[357, 2, 0], [5, 258, 2], [2, 0, 174]], * Val accuracy / confusion: 55.77% / [[155, 47, 28], [67, 77, 31], [23, 34, 58]] ------------------------------ Epoch 1245 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003030 - Iter 024 / 025, Loss: 0.020701 * Train accuracy / confusion: 98.88% / [[349, 4, 1], [1, 268, 2], [0, 1, 174]], * Val accuracy / confusion: 55.19% / [[152, 44, 34], [74, 69, 32], [16, 33, 66]] ------------------------------ Epoch 1246 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.023318 - Iter 024 / 025, Loss: 0.014610 * Train accuracy / confusion: 99.38% / [[355, 3, 0], [1, 264, 1], [0, 0, 176]], * Val accuracy / confusion: 55.19% / [[157, 40, 33], [74, 66, 35], [17, 34, 64]] ------------------------------ Epoch 1247 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007297 - Iter 024 / 025, Loss: 0.009975 * Train accuracy / confusion: 99.25% / [[353, 1, 1], [2, 264, 1], [0, 1, 177]], * Val accuracy / confusion: 56.35% / [[156, 38, 36], [78, 77, 20], [20, 35, 60]] ------------------------------ Epoch 1248 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004015 - Iter 024 / 025, Loss: 0.058878 * Train accuracy / confusion: 99.62% / [[354, 0, 0], [2, 268, 0], [0, 1, 175]], * Val accuracy / confusion: 57.69% / [[165, 38, 27], [69, 73, 33], [23, 30, 62]] ------------------------------ Epoch 1249 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002283 - Iter 024 / 025, Loss: 0.031052 * Train accuracy / confusion: 99.12% / [[350, 4, 0], [2, 265, 1], [0, 0, 178]], * Val accuracy / confusion: 57.88% / [[156, 49, 25], [62, 79, 34], [17, 32, 66]] ------------------------------ Epoch 1250 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.049220 - Iter 024 / 025, Loss: 0.039017 * Train accuracy / confusion: 99.50% / [[357, 1, 0], [1, 268, 0], [0, 2, 171]], * Val accuracy / confusion: 54.62% / [[143, 55, 32], [66, 80, 29], [20, 34, 61]] ------------------------------ Epoch 1251 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001085 - Iter 024 / 025, Loss: 0.001977 * Train accuracy / confusion: 99.25% / [[351, 0, 1], [2, 267, 2], [0, 1, 176]], * Val accuracy / confusion: 56.73% / [[156, 48, 26], [65, 75, 35], [22, 29, 64]] ------------------------------ Epoch 1252 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004412 - Iter 024 / 025, Loss: 0.024036 * Train accuracy / confusion: 99.12% / [[354, 2, 2], [1, 265, 1], [0, 1, 174]], * Val accuracy / confusion: 57.50% / [[160, 45, 25], [63, 73, 39], [22, 27, 66]] ------------------------------ Epoch 1253 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003090 - Iter 024 / 025, Loss: 0.025847 * Train accuracy / confusion: 99.25% / [[353, 2, 1], [2, 266, 0], [1, 0, 175]], * Val accuracy / confusion: 55.77% / [[154, 39, 37], [70, 72, 33], [21, 30, 64]] ------------------------------ Epoch 1254 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013085 - Iter 024 / 025, Loss: 0.013573 * Train accuracy / confusion: 99.62% / [[353, 1, 0], [2, 267, 0], [0, 0, 177]], * Val accuracy / confusion: 57.12% / [[159, 42, 29], [64, 75, 36], [22, 30, 63]] ------------------------------ Epoch 1255 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.115317 - Iter 024 / 025, Loss: 0.015877 * Train accuracy / confusion: 99.12% / [[349, 3, 1], [2, 268, 0], [1, 0, 176]], * Val accuracy / confusion: 56.15% / [[158, 46, 26], [70, 71, 34], [20, 32, 63]] ------------------------------ Epoch 1256 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.028871 - Iter 024 / 025, Loss: 0.042644 * Train accuracy / confusion: 98.62% / [[346, 4, 0], [4, 270, 0], [2, 1, 173]], * Val accuracy / confusion: 55.77% / [[159, 39, 32], [78, 69, 28], [24, 29, 62]] ------------------------------ Epoch 1257 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003627 - Iter 024 / 025, Loss: 0.041299 * Train accuracy / confusion: 99.38% / [[347, 2, 0], [2, 266, 1], [0, 0, 182]], * Val accuracy / confusion: 53.85% / [[147, 45, 38], [63, 74, 38], [23, 33, 59]] ------------------------------ Epoch 1258 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004848 - Iter 024 / 025, Loss: 0.002874 * Train accuracy / confusion: 99.25% / [[351, 1, 1], [1, 265, 2], [0, 1, 178]], * Val accuracy / confusion: 57.12% / [[155, 44, 31], [62, 79, 34], [20, 32, 63]] ------------------------------ Epoch 1259 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005868 - Iter 024 / 025, Loss: 0.001923 * Train accuracy / confusion: 99.25% / [[352, 3, 0], [3, 267, 0], [0, 0, 175]], * Val accuracy / confusion: 55.38% / [[156, 42, 32], [68, 69, 38], [21, 31, 63]] ------------------------------ Epoch 1260 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001112 - Iter 024 / 025, Loss: 0.006202 * Train accuracy / confusion: 99.50% / [[356, 0, 0], [2, 262, 2], [0, 0, 178]], * Val accuracy / confusion: 58.27% / [[164, 36, 30], [58, 76, 41], [18, 34, 63]] ------------------------------ Epoch 1261 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.051209 - Iter 024 / 025, Loss: 0.094402 * Train accuracy / confusion: 99.00% / [[351, 4, 1], [3, 263, 0], [0, 0, 178]], * Val accuracy / confusion: 56.73% / [[155, 41, 34], [64, 76, 35], [20, 31, 64]] ------------------------------ Epoch 1262 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004697 - Iter 024 / 025, Loss: 0.003640 * Train accuracy / confusion: 99.38% / [[354, 1, 1], [2, 263, 1], [0, 0, 178]], * Val accuracy / confusion: 55.96% / [[153, 48, 29], [67, 78, 30], [26, 29, 60]] ------------------------------ Epoch 1263 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009982 - Iter 024 / 025, Loss: 0.003132 * Train accuracy / confusion: 99.12% / [[353, 2, 0], [4, 266, 1], [0, 0, 174]], * Val accuracy / confusion: 55.96% / [[159, 42, 29], [68, 72, 35], [19, 36, 60]] ------------------------------ Epoch 1264 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005874 - Iter 024 / 025, Loss: 0.002715 * Train accuracy / confusion: 99.62% / [[353, 0, 0], [1, 266, 0], [2, 0, 178]], * Val accuracy / confusion: 56.73% / [[155, 42, 33], [63, 82, 30], [25, 32, 58]] ------------------------------ Epoch 1265 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012499 - Iter 024 / 025, Loss: 0.016906 * Train accuracy / confusion: 99.75% / [[355, 1, 0], [0, 264, 0], [0, 1, 179]], * Val accuracy / confusion: 58.46% / [[161, 41, 28], [70, 81, 24], [23, 30, 62]] ------------------------------ Epoch 1266 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.077558 - Iter 024 / 025, Loss: 0.010051 * Train accuracy / confusion: 99.12% / [[355, 1, 2], [3, 259, 1], [0, 0, 179]], * Val accuracy / confusion: 57.50% / [[159, 45, 26], [68, 77, 30], [20, 32, 63]] ------------------------------ Epoch 1267 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.174674 - Iter 024 / 025, Loss: 0.019865 * Train accuracy / confusion: 98.88% / [[355, 1, 3], [3, 261, 1], [0, 1, 175]], * Val accuracy / confusion: 56.92% / [[158, 42, 30], [76, 75, 24], [21, 31, 63]] ------------------------------ Epoch 1268 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.008557 - Iter 024 / 025, Loss: 0.002615 * Train accuracy / confusion: 99.12% / [[354, 1, 1], [2, 264, 1], [0, 2, 175]], * Val accuracy / confusion: 55.58% / [[158, 42, 30], [74, 74, 27], [21, 37, 57]] ------------------------------ Epoch 1269 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.056695 - Iter 024 / 025, Loss: 0.153767 * Train accuracy / confusion: 98.75% / [[351, 2, 1], [5, 264, 0], [1, 1, 175]], * Val accuracy / confusion: 56.54% / [[156, 46, 28], [63, 79, 33], [19, 37, 59]] ------------------------------ Epoch 1270 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004929 - Iter 024 / 025, Loss: 0.051507 * Train accuracy / confusion: 99.25% / [[355, 2, 0], [3, 264, 1], [0, 0, 175]], * Val accuracy / confusion: 56.73% / [[157, 42, 31], [61, 77, 37], [19, 35, 61]] ------------------------------ Epoch 1271 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.059626 - Iter 024 / 025, Loss: 0.032630 * Train accuracy / confusion: 99.50% / [[354, 1, 0], [2, 269, 0], [1, 0, 173]], * Val accuracy / confusion: 55.96% / [[149, 47, 34], [67, 76, 32], [18, 31, 66]] ------------------------------ Epoch 1272 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003621 - Iter 024 / 025, Loss: 0.018190 * Train accuracy / confusion: 99.12% / [[355, 1, 1], [4, 264, 0], [1, 0, 174]], * Val accuracy / confusion: 55.38% / [[148, 49, 33], [69, 80, 26], [20, 35, 60]] ------------------------------ Epoch 1273 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009575 - Iter 024 / 025, Loss: 0.010279 * Train accuracy / confusion: 99.62% / [[352, 0, 0], [1, 269, 0], [0, 2, 176]], * Val accuracy / confusion: 56.35% / [[155, 42, 33], [73, 76, 26], [21, 32, 62]] ------------------------------ Epoch 1274 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005858 - Iter 024 / 025, Loss: 0.008498 * Train accuracy / confusion: 99.12% / [[350, 3, 0], [2, 263, 2], [0, 0, 180]], * Val accuracy / confusion: 56.15% / [[160, 41, 29], [70, 71, 34], [23, 31, 61]] ------------------------------ Epoch 1275 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012425 - Iter 024 / 025, Loss: 0.003273 * Train accuracy / confusion: 98.75% / [[350, 4, 0], [3, 264, 0], [1, 2, 176]], * Val accuracy / confusion: 58.85% / [[158, 42, 30], [59, 78, 38], [21, 24, 70]] ------------------------------ Epoch 1276 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018300 - Iter 024 / 025, Loss: 0.013247 * Train accuracy / confusion: 99.25% / [[350, 1, 2], [2, 268, 1], [0, 0, 176]], * Val accuracy / confusion: 57.12% / [[151, 45, 34], [60, 78, 37], [19, 28, 68]] ------------------------------ Epoch 1277 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002681 - Iter 024 / 025, Loss: 0.080233 * Train accuracy / confusion: 99.38% / [[356, 1, 0], [3, 263, 0], [0, 1, 176]], * Val accuracy / confusion: 56.54% / [[150, 48, 32], [60, 77, 38], [19, 29, 67]] ------------------------------ Epoch 1278 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012412 - Iter 024 / 025, Loss: 0.002658 * Train accuracy / confusion: 99.12% / [[354, 1, 2], [4, 263, 0], [0, 0, 176]], * Val accuracy / confusion: 56.92% / [[157, 48, 25], [67, 75, 33], [19, 32, 64]] ------------------------------ Epoch 1279 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001418 - Iter 024 / 025, Loss: 0.000477 * Train accuracy / confusion: 98.12% / [[350, 4, 2], [5, 259, 3], [1, 0, 176]], * Val accuracy / confusion: 53.85% / [[155, 46, 29], [68, 70, 37], [25, 35, 55]] ------------------------------ Epoch 1280 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.075561 - Iter 024 / 025, Loss: 0.019686 * Train accuracy / confusion: 99.00% / [[352, 4, 0], [3, 267, 0], [0, 1, 173]], * Val accuracy / confusion: 56.73% / [[157, 43, 30], [68, 73, 34], [26, 24, 65]] ------------------------------ Epoch 1281 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000917 - Iter 024 / 025, Loss: 0.008668 * Train accuracy / confusion: 99.25% / [[355, 2, 1], [2, 266, 1], [0, 0, 173]], * Val accuracy / confusion: 55.96% / [[159, 36, 35], [75, 68, 32], [25, 26, 64]] ------------------------------ Epoch 1282 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001291 - Iter 024 / 025, Loss: 0.005832 * Train accuracy / confusion: 99.75% / [[356, 2, 0], [0, 266, 0], [0, 0, 176]], * Val accuracy / confusion: 55.00% / [[150, 46, 34], [71, 71, 33], [22, 28, 65]] ------------------------------ Epoch 1283 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001628 - Iter 024 / 025, Loss: 0.001110 * Train accuracy / confusion: 99.12% / [[350, 1, 0], [4, 265, 0], [1, 1, 178]], * Val accuracy / confusion: 56.73% / [[157, 43, 30], [65, 78, 32], [22, 33, 60]] ------------------------------ Epoch 1284 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.061777 - Iter 024 / 025, Loss: 0.008501 * Train accuracy / confusion: 99.38% / [[355, 2, 1], [1, 262, 0], [0, 1, 178]], * Val accuracy / confusion: 57.88% / [[159, 35, 36], [68, 76, 31], [24, 25, 66]] ------------------------------ Epoch 1285 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004008 - Iter 024 / 025, Loss: 0.011039 * Train accuracy / confusion: 98.88% / [[354, 1, 1], [2, 265, 1], [0, 4, 172]], * Val accuracy / confusion: 56.15% / [[157, 38, 35], [66, 70, 39], [21, 29, 65]] ------------------------------ Epoch 1286 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002097 - Iter 024 / 025, Loss: 0.002326 * Train accuracy / confusion: 99.25% / [[354, 1, 1], [2, 266, 0], [2, 0, 174]], * Val accuracy / confusion: 55.96% / [[153, 50, 27], [68, 73, 34], [24, 26, 65]] ------------------------------ Epoch 1287 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007385 - Iter 024 / 025, Loss: 0.003098 * Train accuracy / confusion: 99.50% / [[356, 1, 1], [1, 268, 0], [0, 1, 172]], * Val accuracy / confusion: 56.15% / [[157, 46, 27], [65, 74, 36], [22, 32, 61]] ------------------------------ Epoch 1288 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024951 - Iter 024 / 025, Loss: 0.032879 * Train accuracy / confusion: 99.12% / [[353, 1, 1], [4, 261, 0], [1, 0, 179]], * Val accuracy / confusion: 56.73% / [[157, 37, 36], [67, 74, 34], [18, 33, 64]] ------------------------------ Epoch 1289 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.052924 - Iter 024 / 025, Loss: 0.002762 * Train accuracy / confusion: 99.38% / [[359, 2, 1], [1, 266, 1], [0, 0, 170]], * Val accuracy / confusion: 55.58% / [[151, 49, 30], [61, 78, 36], [19, 36, 60]] ------------------------------ Epoch 1290 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004315 - Iter 024 / 025, Loss: 0.022951 * Train accuracy / confusion: 99.62% / [[358, 1, 0], [1, 265, 1], [0, 0, 174]], * Val accuracy / confusion: 59.23% / [[154, 44, 32], [58, 86, 31], [20, 27, 68]] ------------------------------ Epoch 1291 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.050490 - Iter 024 / 025, Loss: 0.003738 * Train accuracy / confusion: 99.50% / [[352, 1, 0], [1, 267, 1], [0, 1, 177]], * Val accuracy / confusion: 56.92% / [[153, 40, 37], [63, 81, 31], [22, 31, 62]] ------------------------------ Epoch 1292 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.095679 - Iter 024 / 025, Loss: 0.001510 * Train accuracy / confusion: 99.25% / [[356, 0, 1], [4, 267, 0], [1, 0, 171]], * Val accuracy / confusion: 58.08% / [[160, 45, 25], [67, 78, 30], [19, 32, 64]] ------------------------------ Epoch 1293 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.025897 - Iter 024 / 025, Loss: 0.135616 * Train accuracy / confusion: 99.62% / [[359, 0, 0], [0, 267, 0], [1, 2, 171]], * Val accuracy / confusion: 56.35% / [[154, 48, 28], [68, 78, 29], [19, 35, 61]] ------------------------------ Epoch 1294 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004908 - Iter 024 / 025, Loss: 0.003055 * Train accuracy / confusion: 99.50% / [[355, 2, 1], [0, 265, 0], [1, 0, 176]], * Val accuracy / confusion: 55.58% / [[148, 45, 37], [61, 76, 38], [23, 27, 65]] ------------------------------ Epoch 1295 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.037949 - Iter 024 / 025, Loss: 0.006770 * Train accuracy / confusion: 99.00% / [[353, 2, 2], [2, 268, 1], [0, 1, 171]], * Val accuracy / confusion: 57.50% / [[166, 37, 27], [65, 70, 40], [24, 28, 63]] ------------------------------ Epoch 1296 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013624 - Iter 024 / 025, Loss: 0.001794 * Train accuracy / confusion: 99.00% / [[356, 1, 0], [4, 262, 1], [0, 2, 174]], * Val accuracy / confusion: 55.77% / [[153, 42, 35], [69, 72, 34], [22, 28, 65]] ------------------------------ Epoch 1297 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004641 - Iter 024 / 025, Loss: 0.052437 * Train accuracy / confusion: 99.50% / [[349, 2, 0], [2, 268, 0], [0, 0, 179]], * Val accuracy / confusion: 57.31% / [[154, 46, 30], [64, 81, 30], [20, 32, 63]] ------------------------------ Epoch 1298 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013774 - Iter 024 / 025, Loss: 0.001687 * Train accuracy / confusion: 99.12% / [[352, 2, 0], [2, 266, 2], [1, 0, 175]], * Val accuracy / confusion: 57.31% / [[156, 49, 25], [62, 79, 34], [17, 35, 63]] ------------------------------ Epoch 1299 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005155 - Iter 024 / 025, Loss: 0.036183 * Train accuracy / confusion: 99.12% / [[351, 2, 0], [2, 271, 1], [1, 1, 171]], * Val accuracy / confusion: 57.69% / [[159, 45, 26], [65, 76, 34], [20, 30, 65]] ------------------------------ Epoch 1300 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004738 - Iter 024 / 025, Loss: 0.010307 * Train accuracy / confusion: 99.12% / [[355, 2, 0], [4, 263, 0], [0, 1, 175]], * Val accuracy / confusion: 56.15% / [[150, 47, 33], [59, 83, 33], [21, 35, 59]] ------------------------------ Epoch 1301 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007201 - Iter 024 / 025, Loss: 0.034429 * Train accuracy / confusion: 98.88% / [[352, 4, 2], [2, 261, 0], [1, 0, 178]], * Val accuracy / confusion: 57.50% / [[156, 44, 30], [61, 80, 34], [21, 31, 63]] ------------------------------ Epoch 1302 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.083920 - Iter 024 / 025, Loss: 0.075214 * Train accuracy / confusion: 99.50% / [[356, 1, 0], [1, 262, 2], [0, 0, 178]], * Val accuracy / confusion: 56.73% / [[153, 50, 27], [72, 75, 28], [19, 29, 67]] ------------------------------ Epoch 1303 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002219 - Iter 024 / 025, Loss: 0.017118 * Train accuracy / confusion: 99.38% / [[355, 2, 0], [2, 268, 0], [0, 1, 172]], * Val accuracy / confusion: 57.31% / [[160, 40, 30], [69, 71, 35], [19, 29, 67]] ------------------------------ Epoch 1304 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000728 - Iter 024 / 025, Loss: 0.004625 * Train accuracy / confusion: 99.62% / [[358, 0, 0], [2, 265, 1], [0, 0, 174]], * Val accuracy / confusion: 58.85% / [[164, 38, 28], [62, 77, 36], [21, 29, 65]] ------------------------------ Epoch 1305 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010757 - Iter 024 / 025, Loss: 0.013560 * Train accuracy / confusion: 99.12% / [[350, 3, 0], [0, 267, 2], [1, 1, 176]], * Val accuracy / confusion: 54.04% / [[154, 49, 27], [70, 65, 40], [21, 32, 62]] ------------------------------ Epoch 1306 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000568 - Iter 024 / 025, Loss: 0.002357 * Train accuracy / confusion: 99.38% / [[355, 1, 0], [2, 268, 1], [0, 1, 172]], * Val accuracy / confusion: 56.54% / [[152, 53, 25], [66, 73, 36], [17, 29, 69]] ------------------------------ Epoch 1307 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.043252 - Iter 024 / 025, Loss: 0.004636 * Train accuracy / confusion: 99.62% / [[356, 0, 0], [2, 264, 1], [0, 0, 177]], * Val accuracy / confusion: 56.73% / [[156, 45, 29], [72, 70, 33], [21, 25, 69]] ------------------------------ Epoch 1308 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000787 - Iter 024 / 025, Loss: 0.014470 * Train accuracy / confusion: 99.00% / [[351, 2, 0], [3, 265, 1], [1, 1, 176]], * Val accuracy / confusion: 55.00% / [[152, 48, 30], [66, 72, 37], [24, 29, 62]] ------------------------------ Epoch 1309 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003769 - Iter 024 / 025, Loss: 0.002695 * Train accuracy / confusion: 99.62% / [[356, 2, 0], [1, 265, 0], [0, 0, 176]], * Val accuracy / confusion: 56.35% / [[160, 39, 31], [71, 74, 30], [23, 33, 59]] ------------------------------ Epoch 1310 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009515 - Iter 024 / 025, Loss: 0.058277 * Train accuracy / confusion: 99.00% / [[353, 3, 0], [4, 262, 0], [0, 1, 177]], * Val accuracy / confusion: 58.27% / [[157, 41, 32], [64, 75, 36], [18, 26, 71]] ------------------------------ Epoch 1311 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013338 - Iter 024 / 025, Loss: 0.049960 * Train accuracy / confusion: 98.75% / [[352, 3, 0], [1, 266, 3], [2, 1, 172]], * Val accuracy / confusion: 57.12% / [[157, 42, 31], [72, 73, 30], [20, 28, 67]] ------------------------------ Epoch 1312 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.037550 - Iter 024 / 025, Loss: 0.004404 * Train accuracy / confusion: 99.38% / [[348, 1, 0], [0, 271, 2], [1, 1, 176]], * Val accuracy / confusion: 56.92% / [[159, 38, 33], [66, 74, 35], [20, 32, 63]] ------------------------------ Epoch 1313 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020781 - Iter 024 / 025, Loss: 0.001982 * Train accuracy / confusion: 99.88% / [[352, 1, 0], [0, 267, 0], [0, 0, 180]], * Val accuracy / confusion: 56.54% / [[153, 40, 37], [65, 76, 34], [20, 30, 65]] ------------------------------ Epoch 1314 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.083530 - Iter 024 / 025, Loss: 0.001872 * Train accuracy / confusion: 98.88% / [[353, 4, 1], [1, 262, 2], [0, 1, 176]], * Val accuracy / confusion: 56.15% / [[152, 52, 26], [64, 78, 33], [20, 33, 62]] ------------------------------ Epoch 1315 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001402 - Iter 024 / 025, Loss: 0.015084 * Train accuracy / confusion: 99.62% / [[353, 3, 0], [0, 267, 0], [0, 0, 177]], * Val accuracy / confusion: 55.77% / [[158, 41, 31], [69, 70, 36], [15, 38, 62]] ------------------------------ Epoch 1316 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.051657 - Iter 024 / 025, Loss: 0.002404 * Train accuracy / confusion: 99.25% / [[356, 1, 1], [2, 263, 1], [0, 1, 175]], * Val accuracy / confusion: 55.77% / [[154, 47, 29], [69, 76, 30], [18, 37, 60]] ------------------------------ Epoch 1317 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000844 - Iter 024 / 025, Loss: 0.098744 * Train accuracy / confusion: 99.00% / [[356, 1, 0], [1, 265, 2], [2, 2, 171]], * Val accuracy / confusion: 59.42% / [[163, 35, 32], [70, 74, 31], [19, 24, 72]] ------------------------------ Epoch 1318 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.027147 - Iter 024 / 025, Loss: 0.001730 * Train accuracy / confusion: 99.50% / [[359, 0, 1], [2, 265, 1], [0, 0, 172]], * Val accuracy / confusion: 55.96% / [[149, 50, 31], [66, 79, 30], [23, 29, 63]] ------------------------------ Epoch 1319 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.071072 - Iter 024 / 025, Loss: 0.003545 * Train accuracy / confusion: 99.00% / [[351, 2, 0], [3, 268, 0], [1, 2, 173]], * Val accuracy / confusion: 54.81% / [[149, 49, 32], [64, 77, 34], [20, 36, 59]] ------------------------------ Epoch 1320 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.084878 - Iter 024 / 025, Loss: 0.016726 * Train accuracy / confusion: 99.12% / [[357, 2, 0], [4, 262, 0], [1, 0, 174]], * Val accuracy / confusion: 55.77% / [[155, 46, 29], [63, 77, 35], [23, 34, 58]] ------------------------------ Epoch 1321 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006318 - Iter 024 / 025, Loss: 0.002950 * Train accuracy / confusion: 99.38% / [[350, 2, 0], [1, 268, 0], [2, 0, 177]], * Val accuracy / confusion: 57.50% / [[155, 52, 23], [66, 77, 32], [19, 29, 67]] ------------------------------ Epoch 1322 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002574 - Iter 024 / 025, Loss: 0.016416 * Train accuracy / confusion: 98.38% / [[351, 4, 0], [6, 262, 1], [1, 1, 174]], * Val accuracy / confusion: 56.15% / [[155, 44, 31], [64, 72, 39], [20, 30, 65]] ------------------------------ Epoch 1323 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.008865 - Iter 024 / 025, Loss: 0.027816 * Train accuracy / confusion: 98.75% / [[356, 2, 1], [4, 256, 3], [0, 0, 178]], * Val accuracy / confusion: 55.58% / [[158, 40, 32], [72, 71, 32], [24, 31, 60]] ------------------------------ Epoch 1324 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003580 - Iter 024 / 025, Loss: 0.002138 * Train accuracy / confusion: 99.12% / [[354, 0, 1], [2, 268, 0], [1, 3, 171]], * Val accuracy / confusion: 56.15% / [[159, 41, 30], [75, 69, 31], [19, 32, 64]] ------------------------------ Epoch 1325 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.187154 - Iter 024 / 025, Loss: 0.021748 * Train accuracy / confusion: 99.25% / [[356, 3, 0], [3, 264, 0], [0, 0, 174]], * Val accuracy / confusion: 54.42% / [[152, 49, 29], [70, 69, 36], [19, 34, 62]] ------------------------------ Epoch 1326 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002432 - Iter 024 / 025, Loss: 0.001496 * Train accuracy / confusion: 98.62% / [[351, 4, 0], [3, 261, 2], [0, 2, 177]], * Val accuracy / confusion: 57.69% / [[163, 44, 23], [66, 76, 33], [21, 33, 61]] ------------------------------ Epoch 1327 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005834 - Iter 024 / 025, Loss: 0.002630 * Train accuracy / confusion: 99.38% / [[356, 1, 0], [2, 269, 1], [0, 1, 170]], * Val accuracy / confusion: 56.15% / [[150, 46, 34], [62, 81, 32], [21, 33, 61]] ------------------------------ Epoch 1328 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.072578 - Iter 024 / 025, Loss: 0.000543 * Train accuracy / confusion: 98.50% / [[356, 4, 3], [3, 260, 1], [1, 0, 172]], * Val accuracy / confusion: 55.96% / [[157, 43, 30], [66, 75, 34], [20, 36, 59]] ------------------------------ Epoch 1329 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.227914 - Iter 024 / 025, Loss: 0.005903 * Train accuracy / confusion: 98.88% / [[354, 1, 1], [3, 264, 3], [0, 1, 173]], * Val accuracy / confusion: 56.54% / [[154, 40, 36], [64, 71, 40], [17, 29, 69]] ------------------------------ Epoch 1330 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001890 - Iter 024 / 025, Loss: 0.011612 * Train accuracy / confusion: 98.62% / [[348, 2, 1], [5, 266, 1], [1, 1, 175]], * Val accuracy / confusion: 57.50% / [[158, 39, 33], [69, 77, 29], [24, 27, 64]] ------------------------------ Epoch 1331 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.040943 - Iter 024 / 025, Loss: 0.052281 * Train accuracy / confusion: 99.38% / [[355, 2, 0], [1, 264, 0], [0, 2, 176]], * Val accuracy / confusion: 55.58% / [[153, 47, 30], [66, 78, 31], [23, 34, 58]] ------------------------------ Epoch 1332 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001786 - Iter 024 / 025, Loss: 0.172421 * Train accuracy / confusion: 99.25% / [[351, 0, 1], [3, 264, 0], [0, 2, 179]], * Val accuracy / confusion: 55.96% / [[154, 44, 32], [74, 72, 29], [23, 27, 65]] ------------------------------ Epoch 1333 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018572 - Iter 024 / 025, Loss: 0.010538 * Train accuracy / confusion: 99.25% / [[353, 1, 1], [2, 265, 1], [0, 1, 176]], * Val accuracy / confusion: 55.96% / [[149, 45, 36], [59, 80, 36], [21, 32, 62]] ------------------------------ Epoch 1334 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.126845 - Iter 024 / 025, Loss: 0.044091 * Train accuracy / confusion: 99.00% / [[361, 2, 1], [3, 257, 1], [1, 0, 174]], * Val accuracy / confusion: 56.35% / [[160, 39, 31], [69, 70, 36], [23, 29, 63]] ------------------------------ Epoch 1335 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011058 - Iter 024 / 025, Loss: 0.005664 * Train accuracy / confusion: 99.62% / [[354, 1, 0], [1, 266, 0], [1, 0, 177]], * Val accuracy / confusion: 57.12% / [[154, 49, 27], [68, 77, 30], [18, 31, 66]] ------------------------------ Epoch 1336 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005058 - Iter 024 / 025, Loss: 0.006118 * Train accuracy / confusion: 99.62% / [[353, 1, 1], [1, 268, 0], [0, 0, 176]], * Val accuracy / confusion: 55.96% / [[160, 39, 31], [69, 72, 34], [20, 36, 59]] ------------------------------ Epoch 1337 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.050989 - Iter 024 / 025, Loss: 0.009884 * Train accuracy / confusion: 98.75% / [[346, 3, 1], [3, 266, 1], [2, 0, 178]], * Val accuracy / confusion: 57.31% / [[151, 48, 31], [66, 76, 33], [18, 26, 71]] ------------------------------ Epoch 1338 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.089275 - Iter 024 / 025, Loss: 0.019432 * Train accuracy / confusion: 99.38% / [[352, 1, 1], [1, 269, 0], [1, 1, 174]], * Val accuracy / confusion: 54.42% / [[145, 58, 27], [65, 76, 34], [20, 33, 62]] ------------------------------ Epoch 1339 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003830 - Iter 024 / 025, Loss: 0.052902 * Train accuracy / confusion: 98.75% / [[353, 2, 1], [3, 262, 3], [1, 0, 175]], * Val accuracy / confusion: 55.00% / [[156, 41, 33], [67, 69, 39], [21, 33, 61]] ------------------------------ Epoch 1340 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001370 - Iter 024 / 025, Loss: 0.002339 * Train accuracy / confusion: 98.50% / [[357, 1, 0], [5, 259, 0], [1, 5, 172]], * Val accuracy / confusion: 57.31% / [[152, 47, 31], [63, 79, 33], [21, 27, 67]] ------------------------------ Epoch 1341 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007368 - Iter 024 / 025, Loss: 0.004491 * Train accuracy / confusion: 99.12% / [[351, 1, 0], [2, 271, 1], [1, 2, 171]], * Val accuracy / confusion: 55.38% / [[159, 43, 28], [70, 77, 28], [23, 40, 52]] ------------------------------ Epoch 1342 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000955 - Iter 024 / 025, Loss: 0.012930 * Train accuracy / confusion: 99.12% / [[347, 2, 2], [2, 268, 1], [0, 0, 178]], * Val accuracy / confusion: 56.73% / [[162, 33, 35], [69, 73, 33], [25, 30, 60]] ------------------------------ Epoch 1343 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.008934 - Iter 024 / 025, Loss: 0.007560 * Train accuracy / confusion: 98.75% / [[357, 2, 1], [4, 258, 0], [0, 3, 175]], * Val accuracy / confusion: 55.77% / [[149, 52, 29], [74, 72, 29], [18, 28, 69]] ------------------------------ Epoch 1344 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.033970 - Iter 024 / 025, Loss: 0.003120 * Train accuracy / confusion: 99.25% / [[356, 1, 2], [1, 266, 0], [2, 0, 172]], * Val accuracy / confusion: 54.62% / [[150, 48, 32], [61, 75, 39], [23, 33, 59]] ------------------------------ Epoch 1345 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.037290 - Iter 024 / 025, Loss: 0.014031 * Train accuracy / confusion: 98.62% / [[358, 2, 0], [6, 255, 1], [1, 1, 176]], * Val accuracy / confusion: 55.38% / [[150, 50, 30], [61, 78, 36], [20, 35, 60]] ------------------------------ Epoch 1346 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012836 - Iter 024 / 025, Loss: 0.020092 * Train accuracy / confusion: 99.38% / [[354, 3, 0], [1, 270, 0], [1, 0, 171]], * Val accuracy / confusion: 56.15% / [[157, 44, 29], [72, 71, 32], [20, 31, 64]] ------------------------------ Epoch 1347 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004867 - Iter 024 / 025, Loss: 0.048628 * Train accuracy / confusion: 99.25% / [[351, 1, 0], [2, 266, 1], [1, 1, 177]], * Val accuracy / confusion: 54.62% / [[149, 48, 33], [68, 74, 33], [22, 32, 61]] ------------------------------ Epoch 1348 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002920 - Iter 024 / 025, Loss: 0.045124 * Train accuracy / confusion: 99.75% / [[355, 0, 0], [0, 269, 0], [2, 0, 174]], * Val accuracy / confusion: 55.38% / [[161, 39, 30], [72, 62, 41], [19, 31, 65]] ------------------------------ Epoch 1349 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003276 - Iter 024 / 025, Loss: 0.002632 * Train accuracy / confusion: 98.50% / [[344, 6, 0], [2, 266, 1], [2, 1, 178]], * Val accuracy / confusion: 55.38% / [[157, 43, 30], [72, 72, 31], [21, 35, 59]] ------------------------------ Epoch 1350 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024117 - Iter 024 / 025, Loss: 0.000841 * Train accuracy / confusion: 99.25% / [[358, 3, 1], [0, 259, 1], [1, 0, 177]], * Val accuracy / confusion: 57.31% / [[163, 40, 27], [72, 68, 35], [22, 26, 67]] ------------------------------ Epoch 1351 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000971 - Iter 024 / 025, Loss: 0.006139 * Train accuracy / confusion: 99.00% / [[356, 2, 0], [2, 260, 0], [2, 2, 176]], * Val accuracy / confusion: 57.69% / [[161, 40, 29], [67, 83, 25], [24, 35, 56]] ------------------------------ Epoch 1352 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.065823 - Iter 024 / 025, Loss: 0.005548 * Train accuracy / confusion: 99.25% / [[356, 1, 0], [4, 260, 0], [0, 1, 178]], * Val accuracy / confusion: 54.23% / [[148, 46, 36], [72, 73, 30], [20, 34, 61]] ------------------------------ Epoch 1353 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.008920 - Iter 024 / 025, Loss: 0.004395 * Train accuracy / confusion: 99.62% / [[353, 1, 0], [2, 266, 0], [0, 0, 178]], * Val accuracy / confusion: 57.69% / [[163, 39, 28], [75, 70, 30], [19, 29, 67]] ------------------------------ Epoch 1354 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.055781 - Iter 024 / 025, Loss: 0.037033 * Train accuracy / confusion: 99.38% / [[355, 1, 0], [2, 264, 2], [0, 0, 176]], * Val accuracy / confusion: 54.81% / [[156, 46, 28], [69, 67, 39], [23, 30, 62]] ------------------------------ Epoch 1355 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001434 - Iter 024 / 025, Loss: 0.001460 * Train accuracy / confusion: 99.62% / [[353, 1, 0], [2, 267, 0], [0, 0, 177]], * Val accuracy / confusion: 55.38% / [[152, 45, 33], [66, 73, 36], [18, 34, 63]] ------------------------------ Epoch 1356 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010893 - Iter 024 / 025, Loss: 0.003642 * Train accuracy / confusion: 99.25% / [[349, 5, 0], [1, 270, 0], [0, 0, 175]], * Val accuracy / confusion: 55.00% / [[156, 39, 35], [66, 69, 40], [17, 37, 61]] ------------------------------ Epoch 1357 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003953 - Iter 024 / 025, Loss: 0.017366 * Train accuracy / confusion: 99.50% / [[357, 2, 1], [0, 264, 0], [0, 1, 175]], * Val accuracy / confusion: 55.19% / [[146, 55, 29], [70, 75, 30], [18, 31, 66]] ------------------------------ Epoch 1358 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001779 - Iter 024 / 025, Loss: 0.001173 * Train accuracy / confusion: 99.50% / [[356, 1, 1], [1, 265, 1], [0, 0, 175]], * Val accuracy / confusion: 60.19% / [[162, 38, 30], [54, 88, 33], [18, 34, 63]] ------------------------------ Epoch 1359 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002750 - Iter 024 / 025, Loss: 0.001883 * Train accuracy / confusion: 99.00% / [[351, 2, 0], [3, 270, 0], [3, 0, 171]], * Val accuracy / confusion: 56.54% / [[152, 50, 28], [63, 70, 42], [18, 25, 72]] ------------------------------ Epoch 1360 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016633 - Iter 024 / 025, Loss: 0.001196 * Train accuracy / confusion: 99.25% / [[355, 3, 1], [0, 261, 1], [1, 0, 178]], * Val accuracy / confusion: 56.73% / [[163, 41, 26], [68, 71, 36], [21, 33, 61]] ------------------------------ Epoch 1361 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.105500 - Iter 024 / 025, Loss: 0.045992 * Train accuracy / confusion: 99.25% / [[357, 1, 1], [3, 262, 1], [0, 0, 175]], * Val accuracy / confusion: 54.04% / [[145, 52, 33], [69, 70, 36], [16, 33, 66]] ------------------------------ Epoch 1362 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.038613 - Iter 024 / 025, Loss: 0.005708 * Train accuracy / confusion: 99.50% / [[358, 0, 0], [2, 263, 1], [1, 0, 175]], * Val accuracy / confusion: 56.73% / [[153, 48, 29], [71, 74, 30], [20, 27, 68]] ------------------------------ Epoch 1363 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006015 - Iter 024 / 025, Loss: 0.028448 * Train accuracy / confusion: 98.88% / [[355, 4, 1], [0, 262, 2], [0, 2, 174]], * Val accuracy / confusion: 57.12% / [[159, 39, 32], [69, 74, 32], [21, 30, 64]] ------------------------------ Epoch 1364 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.061388 - Iter 024 / 025, Loss: 0.160552 * Train accuracy / confusion: 98.50% / [[355, 2, 0], [6, 258, 2], [0, 2, 175]], * Val accuracy / confusion: 56.54% / [[158, 49, 23], [73, 73, 29], [21, 31, 63]] ------------------------------ Epoch 1365 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009084 - Iter 024 / 025, Loss: 0.003679 * Train accuracy / confusion: 99.38% / [[356, 0, 0], [2, 267, 1], [1, 1, 172]], * Val accuracy / confusion: 57.50% / [[158, 39, 33], [73, 74, 28], [20, 28, 67]] ------------------------------ Epoch 1366 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006814 - Iter 024 / 025, Loss: 0.017664 * Train accuracy / confusion: 99.25% / [[360, 2, 0], [0, 263, 0], [2, 2, 171]], * Val accuracy / confusion: 55.38% / [[146, 46, 38], [68, 76, 31], [21, 28, 66]] ------------------------------ Epoch 1367 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.056128 - Iter 024 / 025, Loss: 0.007283 * Train accuracy / confusion: 98.38% / [[350, 1, 2], [5, 263, 2], [2, 1, 174]], * Val accuracy / confusion: 57.12% / [[157, 43, 30], [64, 76, 35], [20, 31, 64]] ------------------------------ Epoch 1368 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.051964 - Iter 024 / 025, Loss: 0.003372 * Train accuracy / confusion: 99.25% / [[354, 1, 0], [1, 265, 2], [1, 1, 175]], * Val accuracy / confusion: 57.69% / [[159, 42, 29], [64, 79, 32], [24, 29, 62]] ------------------------------ Epoch 1369 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001609 - Iter 024 / 025, Loss: 0.007488 * Train accuracy / confusion: 98.75% / [[354, 1, 1], [5, 263, 0], [2, 1, 173]], * Val accuracy / confusion: 55.58% / [[153, 51, 26], [74, 69, 32], [18, 30, 67]] ------------------------------ Epoch 1370 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.058588 - Iter 024 / 025, Loss: 0.055138 * Train accuracy / confusion: 99.25% / [[355, 1, 1], [2, 264, 1], [1, 0, 175]], * Val accuracy / confusion: 56.92% / [[151, 46, 33], [67, 76, 32], [17, 29, 69]] ------------------------------ Epoch 1371 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010968 - Iter 024 / 025, Loss: 0.049829 * Train accuracy / confusion: 99.38% / [[354, 1, 1], [1, 265, 0], [0, 2, 176]], * Val accuracy / confusion: 55.00% / [[153, 45, 32], [69, 75, 31], [20, 37, 58]] ------------------------------ Epoch 1372 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003969 - Iter 024 / 025, Loss: 0.005494 * Train accuracy / confusion: 99.50% / [[351, 2, 1], [0, 270, 1], [0, 0, 175]], * Val accuracy / confusion: 55.58% / [[152, 48, 30], [75, 69, 31], [20, 27, 68]] ------------------------------ Epoch 1373 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003074 - Iter 024 / 025, Loss: 0.002611 * Train accuracy / confusion: 99.50% / [[352, 1, 1], [2, 267, 0], [0, 0, 177]], * Val accuracy / confusion: 56.15% / [[162, 36, 32], [74, 67, 34], [20, 32, 63]] ------------------------------ Epoch 1374 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003492 - Iter 024 / 025, Loss: 0.000978 * Train accuracy / confusion: 99.38% / [[356, 2, 1], [1, 265, 1], [0, 0, 174]], * Val accuracy / confusion: 56.54% / [[150, 41, 39], [64, 73, 38], [19, 25, 71]] ------------------------------ Epoch 1375 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016693 - Iter 024 / 025, Loss: 0.002850 * Train accuracy / confusion: 99.25% / [[354, 2, 0], [0, 266, 2], [1, 1, 174]], * Val accuracy / confusion: 56.92% / [[148, 48, 34], [60, 88, 27], [19, 36, 60]] ------------------------------ Epoch 1376 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002567 - Iter 024 / 025, Loss: 0.018039 * Train accuracy / confusion: 98.75% / [[353, 4, 2], [3, 261, 0], [0, 1, 176]], * Val accuracy / confusion: 58.46% / [[157, 42, 31], [57, 79, 39], [19, 28, 68]] ------------------------------ Epoch 1377 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.252602 - Iter 024 / 025, Loss: 0.010255 * Train accuracy / confusion: 98.62% / [[352, 4, 0], [4, 265, 1], [2, 0, 172]], * Val accuracy / confusion: 55.96% / [[155, 46, 29], [70, 71, 34], [20, 30, 65]] ------------------------------ Epoch 1378 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013489 - Iter 024 / 025, Loss: 0.066232 * Train accuracy / confusion: 99.00% / [[357, 1, 0], [3, 264, 1], [2, 1, 171]], * Val accuracy / confusion: 56.92% / [[159, 33, 38], [70, 73, 32], [23, 28, 64]] ------------------------------ Epoch 1379 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001594 - Iter 024 / 025, Loss: 0.017556 * Train accuracy / confusion: 99.12% / [[355, 3, 0], [1, 264, 1], [2, 0, 174]], * Val accuracy / confusion: 59.81% / [[168, 31, 31], [62, 80, 33], [19, 33, 63]] ------------------------------ Epoch 1380 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001833 - Iter 024 / 025, Loss: 0.028726 * Train accuracy / confusion: 99.38% / [[355, 1, 1], [3, 265, 0], [0, 0, 175]], * Val accuracy / confusion: 56.73% / [[158, 35, 37], [66, 75, 34], [20, 33, 62]] ------------------------------ Epoch 1381 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004311 - Iter 024 / 025, Loss: 0.017918 * Train accuracy / confusion: 99.62% / [[360, 0, 1], [1, 263, 0], [0, 1, 174]], * Val accuracy / confusion: 56.54% / [[152, 45, 33], [70, 78, 27], [21, 30, 64]] ------------------------------ Epoch 1382 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001148 - Iter 024 / 025, Loss: 0.003151 * Train accuracy / confusion: 98.75% / [[349, 4, 0], [3, 269, 1], [1, 1, 172]], * Val accuracy / confusion: 55.19% / [[153, 41, 36], [71, 72, 32], [21, 32, 62]] ------------------------------ Epoch 1383 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001293 - Iter 024 / 025, Loss: 0.014034 * Train accuracy / confusion: 99.38% / [[358, 0, 2], [1, 263, 1], [1, 0, 174]], * Val accuracy / confusion: 55.77% / [[156, 45, 29], [72, 69, 34], [23, 27, 65]] ------------------------------ Epoch 1384 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.066797 - Iter 024 / 025, Loss: 0.002402 * Train accuracy / confusion: 99.50% / [[355, 1, 0], [0, 266, 2], [1, 0, 175]], * Val accuracy / confusion: 55.19% / [[158, 40, 32], [75, 67, 33], [21, 32, 62]] ------------------------------ Epoch 1385 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003666 - Iter 024 / 025, Loss: 0.056694 * Train accuracy / confusion: 99.12% / [[353, 1, 1], [3, 267, 1], [1, 0, 173]], * Val accuracy / confusion: 56.73% / [[151, 48, 31], [68, 79, 28], [20, 30, 65]] ------------------------------ Epoch 1386 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.049818 - Iter 024 / 025, Loss: 0.060813 * Train accuracy / confusion: 98.88% / [[354, 3, 0], [2, 265, 0], [1, 3, 172]], * Val accuracy / confusion: 56.73% / [[153, 43, 34], [66, 80, 29], [22, 31, 62]] ------------------------------ Epoch 1387 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006059 - Iter 024 / 025, Loss: 0.002106 * Train accuracy / confusion: 98.50% / [[349, 4, 1], [4, 263, 1], [1, 1, 176]], * Val accuracy / confusion: 56.54% / [[155, 47, 28], [66, 73, 36], [20, 29, 66]] ------------------------------ Epoch 1388 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000965 - Iter 024 / 025, Loss: 0.002303 * Train accuracy / confusion: 99.38% / [[352, 1, 1], [1, 266, 1], [0, 1, 177]], * Val accuracy / confusion: 55.96% / [[161, 37, 32], [70, 67, 38], [24, 28, 63]] ------------------------------ Epoch 1389 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.008679 - Iter 024 / 025, Loss: 0.009188 * Train accuracy / confusion: 99.88% / [[358, 0, 0], [1, 265, 0], [0, 0, 176]], * Val accuracy / confusion: 55.96% / [[155, 39, 36], [64, 76, 35], [20, 35, 60]] ------------------------------ Epoch 1390 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013762 - Iter 024 / 025, Loss: 0.053506 * Train accuracy / confusion: 99.38% / [[353, 1, 0], [2, 267, 0], [1, 1, 175]], * Val accuracy / confusion: 56.15% / [[150, 49, 31], [65, 76, 34], [19, 30, 66]] ------------------------------ Epoch 1391 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.022249 - Iter 024 / 025, Loss: 0.005491 * Train accuracy / confusion: 99.00% / [[352, 4, 1], [2, 265, 1], [0, 0, 175]], * Val accuracy / confusion: 55.96% / [[157, 38, 35], [71, 71, 33], [21, 31, 63]] ------------------------------ Epoch 1392 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001465 - Iter 024 / 025, Loss: 0.010968 * Train accuracy / confusion: 99.38% / [[354, 4, 0], [0, 268, 0], [1, 0, 173]], * Val accuracy / confusion: 56.54% / [[157, 38, 35], [70, 72, 33], [24, 26, 65]] ------------------------------ Epoch 1393 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005273 - Iter 024 / 025, Loss: 0.213381 * Train accuracy / confusion: 99.38% / [[353, 0, 0], [3, 264, 1], [0, 1, 178]], * Val accuracy / confusion: 56.54% / [[154, 41, 35], [67, 81, 27], [26, 30, 59]] ------------------------------ Epoch 1394 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002765 - Iter 024 / 025, Loss: 0.008786 * Train accuracy / confusion: 99.25% / [[353, 2, 0], [2, 264, 0], [2, 0, 177]], * Val accuracy / confusion: 56.35% / [[148, 47, 35], [58, 85, 32], [19, 36, 60]] ------------------------------ Epoch 1395 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009994 - Iter 024 / 025, Loss: 0.003122 * Train accuracy / confusion: 99.25% / [[351, 1, 0], [3, 267, 0], [1, 1, 176]], * Val accuracy / confusion: 55.19% / [[149, 46, 35], [67, 75, 33], [21, 31, 63]] ------------------------------ Epoch 1396 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004726 - Iter 024 / 025, Loss: 0.025000 * Train accuracy / confusion: 99.88% / [[347, 0, 0], [0, 273, 0], [0, 1, 179]], * Val accuracy / confusion: 55.77% / [[151, 46, 33], [72, 73, 30], [24, 25, 66]] ------------------------------ Epoch 1397 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012414 - Iter 024 / 025, Loss: 0.037042 * Train accuracy / confusion: 99.00% / [[354, 2, 2], [3, 263, 1], [0, 0, 175]], * Val accuracy / confusion: 57.50% / [[155, 45, 30], [75, 75, 25], [19, 27, 69]] ------------------------------ Epoch 1398 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011129 - Iter 024 / 025, Loss: 0.001479 * Train accuracy / confusion: 99.25% / [[354, 1, 0], [4, 264, 0], [1, 0, 176]], * Val accuracy / confusion: 56.35% / [[151, 46, 33], [69, 83, 23], [22, 34, 59]] ------------------------------ Epoch 1399 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018822 - Iter 024 / 025, Loss: 0.035453 * Train accuracy / confusion: 99.38% / [[355, 1, 0], [2, 264, 2], [0, 0, 176]], * Val accuracy / confusion: 58.08% / [[162, 42, 26], [70, 74, 31], [16, 33, 66]] ------------------------------ Epoch 1400 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002878 - Iter 024 / 025, Loss: 0.039067 * Train accuracy / confusion: 99.38% / [[352, 1, 0], [1, 263, 2], [1, 0, 180]], * Val accuracy / confusion: 57.69% / [[158, 39, 33], [67, 74, 34], [21, 26, 68]] ------------------------------ Epoch 1401 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003273 - Iter 024 / 025, Loss: 0.001420 * Train accuracy / confusion: 99.12% / [[350, 2, 1], [1, 268, 2], [0, 1, 175]], * Val accuracy / confusion: 55.77% / [[166, 35, 29], [81, 62, 32], [23, 30, 62]] ------------------------------ Epoch 1402 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001540 - Iter 024 / 025, Loss: 0.068252 * Train accuracy / confusion: 98.88% / [[350, 3, 3], [1, 267, 0], [1, 1, 174]], * Val accuracy / confusion: 56.15% / [[152, 41, 37], [65, 81, 29], [24, 32, 59]] ------------------------------ Epoch 1403 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013195 - Iter 024 / 025, Loss: 0.015128 * Train accuracy / confusion: 99.38% / [[357, 1, 0], [2, 263, 0], [0, 2, 175]], * Val accuracy / confusion: 56.35% / [[154, 47, 29], [62, 74, 39], [22, 28, 65]] ------------------------------ Epoch 1404 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001967 - Iter 024 / 025, Loss: 0.016129 * Train accuracy / confusion: 99.75% / [[360, 1, 0], [1, 264, 0], [0, 0, 174]], * Val accuracy / confusion: 55.58% / [[154, 40, 36], [64, 74, 37], [24, 30, 61]] ------------------------------ Epoch 1405 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004570 - Iter 024 / 025, Loss: 0.058145 * Train accuracy / confusion: 99.12% / [[355, 2, 0], [2, 265, 2], [1, 0, 173]], * Val accuracy / confusion: 57.12% / [[164, 37, 29], [70, 67, 38], [21, 28, 66]] ------------------------------ Epoch 1406 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007451 - Iter 024 / 025, Loss: 0.145914 * Train accuracy / confusion: 98.38% / [[356, 4, 2], [6, 258, 1], [0, 0, 173]], * Val accuracy / confusion: 56.35% / [[157, 41, 32], [68, 68, 39], [18, 29, 68]] ------------------------------ Epoch 1407 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002738 - Iter 024 / 025, Loss: 0.002683 * Train accuracy / confusion: 99.12% / [[356, 1, 0], [3, 263, 1], [0, 2, 174]], * Val accuracy / confusion: 56.15% / [[149, 44, 37], [64, 77, 34], [21, 28, 66]] ------------------------------ Epoch 1408 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001888 - Iter 024 / 025, Loss: 0.019368 * Train accuracy / confusion: 99.62% / [[357, 1, 0], [1, 268, 0], [0, 1, 172]], * Val accuracy / confusion: 55.58% / [[148, 46, 36], [73, 75, 27], [22, 27, 66]] ------------------------------ Epoch 1409 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.081598 - Iter 024 / 025, Loss: 0.003409 * Train accuracy / confusion: 99.25% / [[354, 2, 0], [2, 265, 1], [1, 0, 175]], * Val accuracy / confusion: 56.15% / [[163, 37, 30], [73, 67, 35], [22, 31, 62]] ------------------------------ Epoch 1410 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.149561 - Iter 024 / 025, Loss: 0.023301 * Train accuracy / confusion: 99.38% / [[349, 2, 1], [1, 270, 0], [0, 1, 176]], * Val accuracy / confusion: 56.54% / [[160, 38, 32], [71, 67, 37], [22, 26, 67]] ------------------------------ Epoch 1411 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000573 - Iter 024 / 025, Loss: 0.003903 * Train accuracy / confusion: 99.12% / [[354, 3, 1], [2, 266, 0], [1, 0, 173]], * Val accuracy / confusion: 58.65% / [[165, 41, 24], [71, 78, 26], [20, 33, 62]] ------------------------------ Epoch 1412 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.060568 - Iter 024 / 025, Loss: 0.007620 * Train accuracy / confusion: 99.50% / [[358, 0, 0], [0, 262, 3], [0, 1, 176]], * Val accuracy / confusion: 55.96% / [[155, 45, 30], [70, 79, 26], [18, 40, 57]] ------------------------------ Epoch 1413 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002506 - Iter 024 / 025, Loss: 0.103335 * Train accuracy / confusion: 99.00% / [[348, 4, 0], [2, 266, 2], [0, 0, 178]], * Val accuracy / confusion: 54.62% / [[151, 46, 33], [72, 74, 29], [28, 28, 59]] ------------------------------ Epoch 1414 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004478 - Iter 024 / 025, Loss: 0.010440 * Train accuracy / confusion: 99.50% / [[356, 0, 1], [2, 267, 0], [1, 0, 173]], * Val accuracy / confusion: 55.96% / [[150, 39, 41], [69, 74, 32], [24, 24, 67]] ------------------------------ Epoch 1415 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001939 - Iter 024 / 025, Loss: 0.034786 * Train accuracy / confusion: 99.25% / [[360, 0, 0], [3, 260, 1], [1, 1, 174]], * Val accuracy / confusion: 58.27% / [[167, 35, 28], [67, 77, 31], [20, 36, 59]] ------------------------------ Epoch 1416 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000863 - Iter 024 / 025, Loss: 0.003543 * Train accuracy / confusion: 99.50% / [[358, 2, 0], [1, 264, 0], [1, 0, 174]], * Val accuracy / confusion: 56.35% / [[151, 45, 34], [61, 74, 40], [19, 28, 68]] ------------------------------ Epoch 1417 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002592 - Iter 024 / 025, Loss: 0.003002 * Train accuracy / confusion: 99.12% / [[354, 1, 2], [2, 267, 0], [1, 1, 172]], * Val accuracy / confusion: 56.73% / [[162, 37, 31], [68, 71, 36], [23, 30, 62]] ------------------------------ Epoch 1418 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.030458 - Iter 024 / 025, Loss: 0.126736 * Train accuracy / confusion: 98.88% / [[359, 3, 0], [2, 260, 2], [2, 0, 172]], * Val accuracy / confusion: 52.69% / [[140, 47, 43], [68, 74, 33], [20, 35, 60]] ------------------------------ Epoch 1419 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005185 - Iter 024 / 025, Loss: 0.004659 * Train accuracy / confusion: 99.38% / [[355, 1, 1], [2, 267, 0], [0, 1, 173]], * Val accuracy / confusion: 56.73% / [[155, 46, 29], [64, 77, 34], [26, 26, 63]] ------------------------------ Epoch 1420 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004186 - Iter 024 / 025, Loss: 0.011943 * Train accuracy / confusion: 99.62% / [[348, 1, 1], [0, 273, 0], [1, 0, 176]], * Val accuracy / confusion: 55.77% / [[151, 43, 36], [64, 77, 34], [20, 33, 62]] ------------------------------ Epoch 1421 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.052758 - Iter 024 / 025, Loss: 0.004865 * Train accuracy / confusion: 99.00% / [[356, 3, 0], [3, 267, 1], [1, 0, 169]], * Val accuracy / confusion: 54.81% / [[156, 42, 32], [63, 68, 44], [17, 37, 61]] ------------------------------ Epoch 1422 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000566 - Iter 024 / 025, Loss: 0.005885 * Train accuracy / confusion: 99.50% / [[355, 0, 0], [1, 264, 2], [1, 0, 177]], * Val accuracy / confusion: 55.96% / [[161, 43, 26], [78, 67, 30], [20, 32, 63]] ------------------------------ Epoch 1423 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004523 - Iter 024 / 025, Loss: 0.001039 * Train accuracy / confusion: 99.50% / [[355, 0, 1], [1, 267, 1], [1, 0, 174]], * Val accuracy / confusion: 56.35% / [[155, 41, 34], [65, 74, 36], [19, 32, 64]] ------------------------------ Epoch 1424 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024548 - Iter 024 / 025, Loss: 0.001072 * Train accuracy / confusion: 99.00% / [[356, 2, 1], [3, 260, 2], [0, 0, 176]], * Val accuracy / confusion: 56.35% / [[154, 45, 31], [62, 75, 38], [21, 30, 64]] ------------------------------ Epoch 1425 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.140544 - Iter 024 / 025, Loss: 0.096814 * Train accuracy / confusion: 98.75% / [[347, 3, 1], [3, 267, 0], [0, 3, 176]], * Val accuracy / confusion: 54.62% / [[157, 42, 31], [73, 66, 36], [26, 28, 61]] ------------------------------ Epoch 1426 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006044 - Iter 024 / 025, Loss: 0.001419 * Train accuracy / confusion: 99.25% / [[352, 1, 0], [3, 265, 1], [0, 1, 177]], * Val accuracy / confusion: 56.15% / [[159, 42, 29], [77, 70, 28], [24, 28, 63]] ------------------------------ Epoch 1427 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000902 - Iter 024 / 025, Loss: 0.009060 * Train accuracy / confusion: 98.75% / [[350, 1, 1], [2, 270, 2], [1, 3, 170]], * Val accuracy / confusion: 56.54% / [[160, 39, 31], [71, 69, 35], [25, 25, 65]] ------------------------------ Epoch 1428 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001321 - Iter 024 / 025, Loss: 0.000910 * Train accuracy / confusion: 99.25% / [[352, 2, 0], [3, 266, 0], [0, 1, 176]], * Val accuracy / confusion: 56.73% / [[151, 51, 28], [63, 74, 38], [19, 26, 70]] ------------------------------ Epoch 1429 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011223 - Iter 024 / 025, Loss: 0.004151 * Train accuracy / confusion: 99.12% / [[348, 4, 0], [1, 268, 0], [2, 0, 177]], * Val accuracy / confusion: 56.15% / [[158, 45, 27], [77, 69, 29], [21, 29, 65]] ------------------------------ Epoch 1430 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.019653 - Iter 024 / 025, Loss: 0.002144 * Train accuracy / confusion: 98.00% / [[354, 6, 0], [4, 258, 2], [3, 1, 172]], * Val accuracy / confusion: 56.54% / [[155, 44, 31], [54, 75, 46], [17, 34, 64]] ------------------------------ Epoch 1431 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002771 - Iter 024 / 025, Loss: 0.003948 * Train accuracy / confusion: 99.00% / [[354, 2, 0], [2, 266, 2], [0, 2, 172]], * Val accuracy / confusion: 54.04% / [[153, 46, 31], [71, 70, 34], [20, 37, 58]] ------------------------------ Epoch 1432 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004088 - Iter 024 / 025, Loss: 0.013308 * Train accuracy / confusion: 99.38% / [[350, 3, 0], [1, 268, 0], [1, 0, 177]], * Val accuracy / confusion: 56.73% / [[153, 44, 33], [72, 72, 31], [19, 26, 70]] ------------------------------ Epoch 1433 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001467 - Iter 024 / 025, Loss: 0.010488 * Train accuracy / confusion: 99.38% / [[358, 2, 0], [2, 263, 0], [0, 1, 174]], * Val accuracy / confusion: 55.00% / [[154, 43, 33], [75, 70, 30], [18, 35, 62]] ------------------------------ Epoch 1434 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.023755 - Iter 024 / 025, Loss: 0.114084 * Train accuracy / confusion: 99.12% / [[353, 3, 1], [2, 264, 0], [0, 1, 176]], * Val accuracy / confusion: 56.54% / [[155, 45, 30], [68, 76, 31], [23, 29, 63]] ------------------------------ Epoch 1435 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001364 - Iter 024 / 025, Loss: 0.008921 * Train accuracy / confusion: 99.62% / [[355, 0, 0], [2, 268, 0], [0, 1, 174]], * Val accuracy / confusion: 56.35% / [[158, 41, 31], [70, 73, 32], [22, 31, 62]] ------------------------------ Epoch 1436 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.034587 - Iter 024 / 025, Loss: 0.106911 * Train accuracy / confusion: 99.62% / [[354, 1, 0], [1, 270, 0], [1, 0, 173]], * Val accuracy / confusion: 55.96% / [[157, 41, 32], [65, 73, 37], [21, 33, 61]] ------------------------------ Epoch 1437 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000494 - Iter 024 / 025, Loss: 0.019930 * Train accuracy / confusion: 99.25% / [[349, 2, 0], [3, 268, 0], [0, 1, 177]], * Val accuracy / confusion: 54.62% / [[152, 50, 28], [76, 70, 29], [22, 31, 62]] ------------------------------ Epoch 1438 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.114266 - Iter 024 / 025, Loss: 0.131993 * Train accuracy / confusion: 98.62% / [[349, 5, 2], [3, 267, 0], [1, 0, 173]], * Val accuracy / confusion: 54.62% / [[152, 48, 30], [71, 66, 38], [20, 29, 66]] ------------------------------ Epoch 1439 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009809 - Iter 024 / 025, Loss: 0.032064 * Train accuracy / confusion: 99.00% / [[354, 4, 0], [3, 264, 1], [0, 0, 174]], * Val accuracy / confusion: 55.19% / [[156, 45, 29], [75, 66, 34], [21, 29, 65]] ------------------------------ Epoch 1440 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001580 - Iter 024 / 025, Loss: 0.004331 * Train accuracy / confusion: 99.38% / [[357, 0, 0], [3, 261, 2], [0, 0, 177]], * Val accuracy / confusion: 57.12% / [[156, 46, 28], [61, 75, 39], [18, 31, 66]] ------------------------------ Epoch 1441 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.033306 - Iter 024 / 025, Loss: 0.009966 * Train accuracy / confusion: 99.12% / [[357, 3, 0], [3, 261, 0], [0, 1, 175]], * Val accuracy / confusion: 57.69% / [[158, 43, 29], [64, 75, 36], [18, 30, 67]] ------------------------------ Epoch 1442 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.061755 - Iter 024 / 025, Loss: 0.073355 * Train accuracy / confusion: 99.12% / [[352, 1, 1], [4, 265, 1], [0, 0, 176]], * Val accuracy / confusion: 59.23% / [[162, 44, 24], [62, 83, 30], [21, 31, 63]] ------------------------------ Epoch 1443 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.060523 - Iter 024 / 025, Loss: 0.004915 * Train accuracy / confusion: 99.38% / [[357, 1, 0], [4, 262, 0], [0, 0, 176]], * Val accuracy / confusion: 53.27% / [[148, 45, 37], [71, 68, 36], [20, 34, 61]] ------------------------------ Epoch 1444 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.219795 - Iter 024 / 025, Loss: 0.021455 * Train accuracy / confusion: 99.38% / [[357, 0, 0], [2, 267, 1], [1, 1, 171]], * Val accuracy / confusion: 57.69% / [[154, 41, 35], [63, 77, 35], [18, 28, 69]] ------------------------------ Epoch 1445 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.019748 - Iter 024 / 025, Loss: 0.026074 * Train accuracy / confusion: 99.00% / [[356, 1, 0], [4, 262, 1], [2, 0, 174]], * Val accuracy / confusion: 57.69% / [[161, 41, 28], [67, 73, 35], [24, 25, 66]] ------------------------------ Epoch 1446 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001051 - Iter 024 / 025, Loss: 0.022493 * Train accuracy / confusion: 99.50% / [[354, 0, 0], [2, 264, 2], [0, 0, 178]], * Val accuracy / confusion: 55.58% / [[153, 45, 32], [73, 75, 27], [26, 28, 61]] ------------------------------ Epoch 1447 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016952 - Iter 024 / 025, Loss: 0.008188 * Train accuracy / confusion: 99.50% / [[356, 2, 0], [2, 270, 0], [0, 0, 170]], * Val accuracy / confusion: 55.96% / [[155, 42, 33], [67, 75, 33], [23, 31, 61]] ------------------------------ Epoch 1448 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004168 - Iter 024 / 025, Loss: 0.010176 * Train accuracy / confusion: 99.25% / [[358, 3, 0], [1, 261, 0], [2, 0, 175]], * Val accuracy / confusion: 57.12% / [[145, 48, 37], [61, 82, 32], [21, 24, 70]] ------------------------------ Epoch 1449 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002288 - Iter 024 / 025, Loss: 0.004255 * Train accuracy / confusion: 99.25% / [[354, 1, 1], [2, 262, 0], [2, 0, 178]], * Val accuracy / confusion: 55.77% / [[151, 54, 25], [64, 78, 33], [22, 32, 61]] ------------------------------ Epoch 1450 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011398 - Iter 024 / 025, Loss: 0.031962 * Train accuracy / confusion: 99.12% / [[348, 2, 1], [2, 269, 2], [0, 0, 176]], * Val accuracy / confusion: 53.46% / [[141, 58, 31], [59, 78, 38], [22, 34, 59]] ------------------------------ Epoch 1451 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009709 - Iter 024 / 025, Loss: 0.008317 * Train accuracy / confusion: 98.75% / [[354, 2, 1], [3, 266, 2], [1, 1, 170]], * Val accuracy / confusion: 54.23% / [[143, 53, 34], [66, 73, 36], [19, 30, 66]] ------------------------------ Epoch 1452 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007318 - Iter 024 / 025, Loss: 0.003576 * Train accuracy / confusion: 99.38% / [[353, 1, 2], [2, 263, 0], [0, 0, 179]], * Val accuracy / confusion: 56.35% / [[155, 44, 31], [66, 70, 39], [19, 28, 68]] ------------------------------ Epoch 1453 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005404 - Iter 024 / 025, Loss: 0.000522 * Train accuracy / confusion: 99.50% / [[353, 2, 0], [2, 268, 0], [0, 0, 175]], * Val accuracy / confusion: 54.62% / [[153, 49, 28], [70, 70, 35], [19, 35, 61]] ------------------------------ Epoch 1454 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.008063 - Iter 024 / 025, Loss: 0.014443 * Train accuracy / confusion: 99.38% / [[354, 1, 0], [2, 268, 0], [2, 0, 173]], * Val accuracy / confusion: 55.96% / [[151, 50, 29], [68, 75, 32], [20, 30, 65]] ------------------------------ Epoch 1455 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001045 - Iter 024 / 025, Loss: 0.057955 * Train accuracy / confusion: 99.12% / [[354, 3, 0], [1, 259, 1], [0, 2, 180]], * Val accuracy / confusion: 58.65% / [[155, 47, 28], [59, 86, 30], [20, 31, 64]] ------------------------------ Epoch 1456 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012615 - Iter 024 / 025, Loss: 0.030502 * Train accuracy / confusion: 99.00% / [[355, 1, 0], [3, 261, 2], [1, 1, 176]], * Val accuracy / confusion: 55.96% / [[150, 47, 33], [69, 74, 32], [21, 27, 67]] ------------------------------ Epoch 1457 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018349 - Iter 024 / 025, Loss: 0.096849 * Train accuracy / confusion: 99.00% / [[355, 2, 0], [1, 264, 1], [1, 3, 173]], * Val accuracy / confusion: 57.88% / [[158, 40, 32], [60, 80, 35], [20, 32, 63]] ------------------------------ Epoch 1458 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004168 - Iter 024 / 025, Loss: 0.007267 * Train accuracy / confusion: 99.25% / [[352, 0, 1], [1, 268, 1], [1, 2, 174]], * Val accuracy / confusion: 55.96% / [[154, 46, 30], [74, 74, 27], [18, 34, 63]] ------------------------------ Epoch 1459 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004861 - Iter 024 / 025, Loss: 0.038164 * Train accuracy / confusion: 99.00% / [[354, 3, 0], [2, 262, 1], [0, 2, 176]], * Val accuracy / confusion: 55.38% / [[156, 43, 31], [67, 69, 39], [20, 32, 63]] ------------------------------ Epoch 1460 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024265 - Iter 024 / 025, Loss: 0.009632 * Train accuracy / confusion: 99.50% / [[358, 1, 1], [1, 266, 1], [0, 0, 172]], * Val accuracy / confusion: 56.54% / [[158, 41, 31], [72, 69, 34], [20, 28, 67]] ------------------------------ Epoch 1461 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002645 - Iter 024 / 025, Loss: 0.002293 * Train accuracy / confusion: 99.38% / [[352, 0, 1], [2, 269, 0], [1, 1, 174]], * Val accuracy / confusion: 58.46% / [[159, 35, 36], [72, 74, 29], [20, 24, 71]] ------------------------------ Epoch 1462 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009952 - Iter 024 / 025, Loss: 0.008659 * Train accuracy / confusion: 99.25% / [[348, 3, 1], [0, 271, 1], [0, 1, 175]], * Val accuracy / confusion: 57.69% / [[152, 49, 29], [66, 81, 28], [19, 29, 67]] ------------------------------ Epoch 1463 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005694 - Iter 024 / 025, Loss: 0.030892 * Train accuracy / confusion: 99.00% / [[352, 3, 0], [5, 264, 0], [0, 0, 176]], * Val accuracy / confusion: 54.81% / [[159, 38, 33], [73, 71, 31], [19, 41, 55]] ------------------------------ Epoch 1464 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.033073 - Iter 024 / 025, Loss: 0.000851 * Train accuracy / confusion: 99.75% / [[356, 1, 0], [0, 265, 1], [0, 0, 177]], * Val accuracy / confusion: 57.50% / [[161, 35, 34], [64, 79, 32], [20, 36, 59]] ------------------------------ Epoch 1465 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.023892 - Iter 024 / 025, Loss: 0.096443 * Train accuracy / confusion: 99.12% / [[354, 2, 1], [3, 265, 0], [1, 0, 174]], * Val accuracy / confusion: 56.92% / [[150, 45, 35], [57, 80, 38], [19, 30, 66]] ------------------------------ Epoch 1466 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005153 - Iter 024 / 025, Loss: 0.012273 * Train accuracy / confusion: 98.88% / [[357, 3, 1], [3, 262, 1], [1, 0, 172]], * Val accuracy / confusion: 59.62% / [[158, 37, 35], [65, 78, 32], [17, 24, 74]] ------------------------------ Epoch 1467 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010606 - Iter 024 / 025, Loss: 0.006592 * Train accuracy / confusion: 99.12% / [[356, 1, 0], [5, 265, 0], [0, 1, 172]], * Val accuracy / confusion: 54.62% / [[141, 53, 36], [58, 82, 35], [23, 31, 61]] ------------------------------ Epoch 1468 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.179421 - Iter 024 / 025, Loss: 0.003758 * Train accuracy / confusion: 99.50% / [[351, 2, 0], [1, 270, 1], [0, 0, 175]], * Val accuracy / confusion: 54.42% / [[145, 47, 38], [60, 77, 38], [20, 34, 61]] ------------------------------ Epoch 1469 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002596 - Iter 024 / 025, Loss: 0.002397 * Train accuracy / confusion: 99.12% / [[351, 2, 2], [3, 262, 0], [0, 0, 180]], * Val accuracy / confusion: 56.92% / [[160, 36, 34], [73, 73, 29], [21, 31, 63]] ------------------------------ Epoch 1470 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004724 - Iter 024 / 025, Loss: 0.113817 * Train accuracy / confusion: 99.75% / [[356, 1, 0], [0, 269, 0], [1, 0, 173]], * Val accuracy / confusion: 57.12% / [[151, 49, 30], [63, 85, 27], [18, 36, 61]] ------------------------------ Epoch 1471 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007969 - Iter 024 / 025, Loss: 0.001737 * Train accuracy / confusion: 99.38% / [[356, 1, 0], [3, 265, 1], [0, 0, 174]], * Val accuracy / confusion: 60.19% / [[166, 38, 26], [64, 81, 30], [20, 29, 66]] ------------------------------ Epoch 1472 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009696 - Iter 024 / 025, Loss: 0.044775 * Train accuracy / confusion: 99.50% / [[353, 0, 2], [1, 267, 0], [1, 0, 176]], * Val accuracy / confusion: 54.62% / [[158, 41, 31], [69, 69, 37], [24, 34, 57]] ------------------------------ Epoch 1473 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.034476 - Iter 024 / 025, Loss: 0.098530 * Train accuracy / confusion: 99.12% / [[359, 1, 1], [3, 260, 2], [0, 0, 174]], * Val accuracy / confusion: 56.73% / [[147, 50, 33], [55, 76, 44], [17, 26, 72]] ------------------------------ Epoch 1474 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.126936 - Iter 024 / 025, Loss: 0.009401 * Train accuracy / confusion: 98.75% / [[349, 2, 1], [2, 268, 2], [1, 2, 173]], * Val accuracy / confusion: 55.96% / [[153, 51, 26], [70, 79, 26], [23, 33, 59]] ------------------------------ Epoch 1475 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003040 - Iter 024 / 025, Loss: 0.018367 * Train accuracy / confusion: 99.50% / [[352, 1, 1], [2, 264, 0], [0, 0, 180]], * Val accuracy / confusion: 55.58% / [[155, 48, 27], [65, 71, 39], [19, 33, 63]] ------------------------------ Epoch 1476 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004874 - Iter 024 / 025, Loss: 0.000807 * Train accuracy / confusion: 99.38% / [[355, 1, 0], [2, 262, 2], [0, 0, 178]], * Val accuracy / confusion: 54.04% / [[140, 50, 40], [65, 77, 33], [21, 30, 64]] ------------------------------ Epoch 1477 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003358 - Iter 024 / 025, Loss: 0.002111 * Train accuracy / confusion: 99.50% / [[356, 2, 0], [1, 264, 0], [1, 0, 176]], * Val accuracy / confusion: 58.27% / [[165, 36, 29], [67, 74, 34], [21, 30, 64]] ------------------------------ Epoch 1478 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.043587 - Iter 024 / 025, Loss: 0.015763 * Train accuracy / confusion: 99.50% / [[351, 1, 0], [2, 269, 0], [1, 0, 176]], * Val accuracy / confusion: 56.92% / [[156, 47, 27], [63, 77, 35], [23, 29, 63]] ------------------------------ Epoch 1479 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012280 - Iter 024 / 025, Loss: 0.006397 * Train accuracy / confusion: 99.12% / [[354, 2, 1], [2, 268, 0], [0, 2, 171]], * Val accuracy / confusion: 55.00% / [[153, 48, 29], [60, 75, 40], [26, 31, 58]] ------------------------------ Epoch 1480 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001450 - Iter 024 / 025, Loss: 0.156555 * Train accuracy / confusion: 99.12% / [[353, 4, 0], [1, 265, 2], [0, 0, 175]], * Val accuracy / confusion: 56.15% / [[156, 52, 22], [69, 73, 33], [25, 27, 63]] ------------------------------ Epoch 1481 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.324500 - Iter 024 / 025, Loss: 0.031540 * Train accuracy / confusion: 99.38% / [[358, 1, 0], [2, 265, 1], [0, 1, 172]], * Val accuracy / confusion: 55.38% / [[151, 42, 37], [66, 71, 38], [23, 26, 66]] ------------------------------ Epoch 1482 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.045532 - Iter 024 / 025, Loss: 0.001348 * Train accuracy / confusion: 99.12% / [[349, 4, 1], [2, 266, 0], [0, 0, 178]], * Val accuracy / confusion: 55.19% / [[149, 50, 31], [64, 74, 37], [23, 28, 64]] ------------------------------ Epoch 1483 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016777 - Iter 024 / 025, Loss: 0.013283 * Train accuracy / confusion: 99.00% / [[354, 2, 0], [3, 261, 1], [0, 2, 177]], * Val accuracy / confusion: 56.15% / [[150, 51, 29], [65, 79, 31], [21, 31, 63]] ------------------------------ Epoch 1484 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004798 - Iter 024 / 025, Loss: 0.001357 * Train accuracy / confusion: 99.50% / [[351, 1, 0], [2, 268, 0], [1, 0, 177]], * Val accuracy / confusion: 56.73% / [[157, 42, 31], [66, 76, 33], [23, 30, 62]] ------------------------------ Epoch 1485 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.019970 - Iter 024 / 025, Loss: 0.005368 * Train accuracy / confusion: 99.75% / [[351, 1, 0], [0, 270, 1], [0, 0, 177]], * Val accuracy / confusion: 57.50% / [[162, 41, 27], [72, 70, 33], [22, 26, 67]] ------------------------------ Epoch 1486 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007598 - Iter 024 / 025, Loss: 0.007978 * Train accuracy / confusion: 99.00% / [[350, 4, 1], [1, 264, 0], [1, 1, 178]], * Val accuracy / confusion: 57.88% / [[157, 43, 30], [59, 82, 34], [23, 30, 62]] ------------------------------ Epoch 1487 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012155 - Iter 024 / 025, Loss: 0.008775 * Train accuracy / confusion: 99.12% / [[356, 0, 0], [5, 262, 1], [0, 1, 175]], * Val accuracy / confusion: 56.15% / [[151, 50, 29], [70, 71, 34], [20, 25, 70]] ------------------------------ Epoch 1488 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002138 - Iter 024 / 025, Loss: 0.005047 * Train accuracy / confusion: 99.62% / [[352, 1, 0], [1, 269, 1], [0, 0, 176]], * Val accuracy / confusion: 55.77% / [[154, 40, 36], [69, 72, 34], [24, 27, 64]] ------------------------------ Epoch 1489 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004615 - Iter 024 / 025, Loss: 0.003298 * Train accuracy / confusion: 99.62% / [[356, 1, 0], [1, 271, 0], [0, 1, 170]], * Val accuracy / confusion: 55.38% / [[150, 45, 35], [69, 71, 35], [19, 29, 67]] ------------------------------ Epoch 1490 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003279 - Iter 024 / 025, Loss: 0.001392 * Train accuracy / confusion: 99.62% / [[359, 1, 0], [2, 264, 0], [0, 0, 174]], * Val accuracy / confusion: 55.38% / [[152, 48, 30], [60, 78, 37], [18, 39, 58]] ------------------------------ Epoch 1491 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005437 - Iter 024 / 025, Loss: 0.059547 * Train accuracy / confusion: 99.12% / [[357, 3, 0], [4, 260, 0], [0, 0, 176]], * Val accuracy / confusion: 57.12% / [[158, 46, 26], [60, 75, 40], [23, 28, 64]] ------------------------------ Epoch 1492 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.140554 - Iter 024 / 025, Loss: 0.123144 * Train accuracy / confusion: 99.25% / [[351, 3, 0], [2, 264, 1], [0, 0, 179]], * Val accuracy / confusion: 56.35% / [[152, 48, 30], [71, 72, 32], [20, 26, 69]] ------------------------------ Epoch 1493 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.026855 - Iter 024 / 025, Loss: 0.004611 * Train accuracy / confusion: 99.50% / [[350, 2, 0], [0, 271, 0], [2, 0, 175]], * Val accuracy / confusion: 57.69% / [[158, 42, 30], [64, 75, 36], [21, 27, 67]] ------------------------------ Epoch 1494 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000945 - Iter 024 / 025, Loss: 0.002095 * Train accuracy / confusion: 99.00% / [[351, 3, 0], [2, 267, 0], [3, 0, 174]], * Val accuracy / confusion: 56.73% / [[154, 48, 28], [64, 76, 35], [22, 28, 65]] ------------------------------ Epoch 1495 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003607 - Iter 024 / 025, Loss: 0.039347 * Train accuracy / confusion: 98.75% / [[348, 1, 4], [2, 267, 1], [2, 0, 175]], * Val accuracy / confusion: 57.50% / [[163, 36, 31], [76, 74, 25], [20, 33, 62]] ------------------------------ Epoch 1496 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003827 - Iter 024 / 025, Loss: 0.003725 * Train accuracy / confusion: 98.62% / [[353, 1, 2], [5, 262, 1], [2, 0, 174]], * Val accuracy / confusion: 57.88% / [[160, 39, 31], [70, 76, 29], [24, 26, 65]] ------------------------------ Epoch 1497 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001756 - Iter 024 / 025, Loss: 0.009928 * Train accuracy / confusion: 99.38% / [[354, 2, 0], [0, 266, 2], [0, 1, 175]], * Val accuracy / confusion: 58.08% / [[162, 44, 24], [68, 76, 31], [19, 32, 64]] ------------------------------ Epoch 1498 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.033946 - Iter 024 / 025, Loss: 0.003372 * Train accuracy / confusion: 99.38% / [[354, 0, 0], [3, 265, 0], [0, 2, 176]], * Val accuracy / confusion: 55.00% / [[155, 46, 29], [69, 72, 34], [20, 36, 59]] ------------------------------ Epoch 1499 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004618 - Iter 024 / 025, Loss: 0.003018 * Train accuracy / confusion: 98.88% / [[353, 3, 0], [3, 264, 0], [0, 3, 174]], * Val accuracy / confusion: 53.85% / [[150, 43, 37], [67, 71, 37], [20, 36, 59]] ------------------------------ Epoch 1500 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003562 - Iter 024 / 025, Loss: 0.011070 * Train accuracy / confusion: 99.00% / [[353, 2, 2], [2, 266, 1], [1, 0, 173]], * Val accuracy / confusion: 55.38% / [[148, 47, 35], [63, 78, 34], [22, 31, 62]] ------------------------------ Epoch 1501 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.100261 - Iter 024 / 025, Loss: 0.009219 * Train accuracy / confusion: 98.75% / [[350, 2, 1], [3, 263, 3], [0, 1, 177]], * Val accuracy / confusion: 57.88% / [[160, 43, 27], [59, 78, 38], [21, 31, 63]] ------------------------------ Epoch 1502 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.035702 - Iter 024 / 025, Loss: 0.006619 * Train accuracy / confusion: 99.25% / [[354, 2, 1], [2, 264, 1], [0, 0, 176]], * Val accuracy / confusion: 57.50% / [[149, 48, 33], [61, 83, 31], [14, 34, 67]] ------------------------------ Epoch 1503 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.140222 - Iter 024 / 025, Loss: 0.004179 * Train accuracy / confusion: 98.25% / [[355, 1, 0], [5, 260, 1], [3, 4, 171]], * Val accuracy / confusion: 55.38% / [[154, 47, 29], [72, 72, 31], [17, 36, 62]] ------------------------------ Epoch 1504 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003012 - Iter 024 / 025, Loss: 0.005947 * Train accuracy / confusion: 99.50% / [[354, 1, 0], [2, 266, 0], [1, 0, 176]], * Val accuracy / confusion: 57.50% / [[156, 48, 26], [71, 75, 29], [15, 32, 68]] ------------------------------ Epoch 1505 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001000 - Iter 024 / 025, Loss: 0.011320 * Train accuracy / confusion: 99.50% / [[353, 2, 0], [2, 268, 0], [0, 0, 175]], * Val accuracy / confusion: 57.50% / [[155, 41, 34], [64, 80, 31], [21, 30, 64]] ------------------------------ Epoch 1506 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005038 - Iter 024 / 025, Loss: 0.047385 * Train accuracy / confusion: 99.38% / [[351, 2, 1], [1, 268, 1], [0, 0, 176]], * Val accuracy / confusion: 54.23% / [[157, 44, 29], [75, 66, 34], [24, 32, 59]] ------------------------------ Epoch 1507 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002266 - Iter 024 / 025, Loss: 0.014790 * Train accuracy / confusion: 99.12% / [[352, 3, 0], [2, 262, 2], [0, 0, 179]], * Val accuracy / confusion: 54.42% / [[150, 51, 29], [69, 71, 35], [21, 32, 62]] ------------------------------ Epoch 1508 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.197633 - Iter 024 / 025, Loss: 0.003497 * Train accuracy / confusion: 99.12% / [[351, 1, 0], [4, 264, 1], [0, 1, 178]], * Val accuracy / confusion: 56.54% / [[159, 45, 26], [76, 73, 26], [21, 32, 62]] ------------------------------ Epoch 1509 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009192 - Iter 024 / 025, Loss: 0.005090 * Train accuracy / confusion: 98.75% / [[348, 3, 0], [3, 270, 2], [1, 1, 172]], * Val accuracy / confusion: 55.58% / [[153, 46, 31], [70, 71, 34], [23, 27, 65]] ------------------------------ Epoch 1510 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002677 - Iter 024 / 025, Loss: 0.015533 * Train accuracy / confusion: 99.50% / [[353, 1, 0], [3, 263, 0], [0, 0, 180]], * Val accuracy / confusion: 56.35% / [[157, 48, 25], [69, 73, 33], [16, 36, 63]] ------------------------------ Epoch 1511 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.032336 - Iter 024 / 025, Loss: 0.015472 * Train accuracy / confusion: 99.00% / [[356, 0, 1], [4, 266, 0], [0, 3, 170]], * Val accuracy / confusion: 58.27% / [[163, 34, 33], [68, 76, 31], [22, 29, 64]] ------------------------------ Epoch 1512 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012011 - Iter 024 / 025, Loss: 0.030377 * Train accuracy / confusion: 99.38% / [[349, 2, 1], [2, 270, 0], [0, 0, 176]], * Val accuracy / confusion: 55.58% / [[148, 47, 35], [67, 74, 34], [21, 27, 67]] ------------------------------ Epoch 1513 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007185 - Iter 024 / 025, Loss: 0.008771 * Train accuracy / confusion: 99.38% / [[353, 2, 0], [1, 268, 0], [2, 0, 174]], * Val accuracy / confusion: 59.04% / [[153, 48, 29], [66, 80, 29], [17, 24, 74]] ------------------------------ Epoch 1514 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002725 - Iter 024 / 025, Loss: 0.010609 * Train accuracy / confusion: 99.50% / [[358, 1, 0], [3, 263, 0], [0, 0, 175]], * Val accuracy / confusion: 55.19% / [[156, 39, 35], [71, 67, 37], [23, 28, 64]] ------------------------------ Epoch 1515 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006370 - Iter 024 / 025, Loss: 0.038735 * Train accuracy / confusion: 99.38% / [[352, 1, 0], [2, 266, 1], [0, 1, 177]], * Val accuracy / confusion: 55.96% / [[152, 52, 26], [65, 72, 38], [21, 27, 67]] ------------------------------ Epoch 1516 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010176 - Iter 024 / 025, Loss: 0.008092 * Train accuracy / confusion: 99.62% / [[354, 1, 1], [1, 269, 0], [0, 0, 174]], * Val accuracy / confusion: 56.92% / [[158, 39, 33], [67, 72, 36], [16, 33, 66]] ------------------------------ Epoch 1517 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018643 - Iter 024 / 025, Loss: 0.022747 * Train accuracy / confusion: 99.50% / [[358, 2, 0], [0, 263, 0], [0, 2, 175]], * Val accuracy / confusion: 56.15% / [[159, 39, 32], [70, 75, 30], [24, 33, 58]] ------------------------------ Epoch 1518 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006001 - Iter 024 / 025, Loss: 0.021530 * Train accuracy / confusion: 99.38% / [[354, 3, 0], [1, 267, 0], [1, 0, 174]], * Val accuracy / confusion: 56.92% / [[158, 42, 30], [65, 70, 40], [22, 25, 68]] ------------------------------ Epoch 1519 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005821 - Iter 024 / 025, Loss: 0.009111 * Train accuracy / confusion: 99.50% / [[356, 1, 0], [1, 266, 2], [0, 0, 174]], * Val accuracy / confusion: 55.00% / [[144, 49, 37], [60, 77, 38], [18, 32, 65]] ------------------------------ Epoch 1520 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.059096 - Iter 024 / 025, Loss: 0.002387 * Train accuracy / confusion: 98.88% / [[355, 0, 1], [5, 260, 2], [1, 0, 176]], * Val accuracy / confusion: 56.92% / [[156, 45, 29], [67, 82, 26], [20, 37, 58]] ------------------------------ Epoch 1521 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000602 - Iter 024 / 025, Loss: 0.022797 * Train accuracy / confusion: 99.00% / [[353, 2, 1], [2, 264, 1], [2, 0, 175]], * Val accuracy / confusion: 59.23% / [[166, 37, 27], [63, 79, 33], [19, 33, 63]] ------------------------------ Epoch 1522 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.033652 - Iter 024 / 025, Loss: 0.174146 * Train accuracy / confusion: 99.00% / [[351, 2, 1], [3, 265, 1], [0, 1, 176]], * Val accuracy / confusion: 55.96% / [[166, 38, 26], [78, 61, 36], [21, 30, 64]] ------------------------------ Epoch 1523 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001870 - Iter 024 / 025, Loss: 0.002515 * Train accuracy / confusion: 99.25% / [[357, 1, 1], [3, 269, 0], [1, 0, 168]], * Val accuracy / confusion: 56.35% / [[155, 45, 30], [64, 78, 33], [19, 36, 60]] ------------------------------ Epoch 1524 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.082226 - Iter 024 / 025, Loss: 0.001491 * Train accuracy / confusion: 99.38% / [[355, 1, 0], [2, 268, 0], [2, 0, 172]], * Val accuracy / confusion: 55.96% / [[157, 41, 32], [68, 70, 37], [21, 30, 64]] ------------------------------ Epoch 1525 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003066 - Iter 024 / 025, Loss: 0.009153 * Train accuracy / confusion: 99.62% / [[355, 1, 0], [2, 267, 0], [0, 0, 175]], * Val accuracy / confusion: 56.35% / [[157, 39, 34], [60, 72, 43], [24, 27, 64]] ------------------------------ Epoch 1526 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006176 - Iter 024 / 025, Loss: 0.016648 * Train accuracy / confusion: 99.00% / [[353, 2, 1], [3, 268, 0], [1, 1, 171]], * Val accuracy / confusion: 55.96% / [[156, 38, 36], [66, 72, 37], [20, 32, 63]] ------------------------------ Epoch 1527 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002300 - Iter 024 / 025, Loss: 0.012406 * Train accuracy / confusion: 98.62% / [[352, 2, 1], [3, 264, 1], [3, 1, 173]], * Val accuracy / confusion: 55.77% / [[151, 38, 41], [67, 74, 34], [20, 30, 65]] ------------------------------ Epoch 1528 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010112 - Iter 024 / 025, Loss: 0.023452 * Train accuracy / confusion: 99.12% / [[352, 4, 1], [1, 266, 0], [0, 1, 175]], * Val accuracy / confusion: 57.31% / [[150, 45, 35], [71, 77, 27], [19, 25, 71]] ------------------------------ Epoch 1529 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.038688 - Iter 024 / 025, Loss: 0.001812 * Train accuracy / confusion: 99.00% / [[355, 2, 0], [1, 266, 2], [1, 2, 171]], * Val accuracy / confusion: 58.46% / [[158, 43, 29], [59, 80, 36], [15, 34, 66]] ------------------------------ Epoch 1530 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.039857 - Iter 024 / 025, Loss: 0.002007 * Train accuracy / confusion: 99.50% / [[355, 2, 1], [0, 264, 0], [0, 1, 177]], * Val accuracy / confusion: 54.81% / [[155, 41, 34], [66, 68, 41], [23, 30, 62]] ------------------------------ Epoch 1531 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006228 - Iter 024 / 025, Loss: 0.001584 * Train accuracy / confusion: 99.62% / [[354, 2, 0], [0, 268, 1], [0, 0, 175]], * Val accuracy / confusion: 54.62% / [[156, 45, 29], [65, 70, 40], [25, 32, 58]] ------------------------------ Epoch 1532 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001290 - Iter 024 / 025, Loss: 0.026832 * Train accuracy / confusion: 99.62% / [[359, 1, 0], [2, 269, 0], [0, 0, 169]], * Val accuracy / confusion: 56.15% / [[154, 47, 29], [69, 69, 37], [25, 21, 69]] ------------------------------ Epoch 1533 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007650 - Iter 024 / 025, Loss: 0.050539 * Train accuracy / confusion: 99.38% / [[356, 0, 0], [2, 262, 3], [0, 0, 177]], * Val accuracy / confusion: 57.88% / [[158, 38, 34], [64, 74, 37], [16, 30, 69]] ------------------------------ Epoch 1534 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005927 - Iter 024 / 025, Loss: 0.050775 * Train accuracy / confusion: 98.75% / [[354, 3, 2], [2, 264, 1], [0, 2, 172]], * Val accuracy / confusion: 55.38% / [[159, 43, 28], [64, 73, 38], [20, 39, 56]] ------------------------------ Epoch 1535 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004216 - Iter 024 / 025, Loss: 0.013841 * Train accuracy / confusion: 99.50% / [[350, 1, 2], [1, 267, 0], [0, 0, 179]], * Val accuracy / confusion: 58.08% / [[162, 42, 26], [67, 72, 36], [19, 28, 68]] ------------------------------ Epoch 1536 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016241 - Iter 024 / 025, Loss: 0.004795 * Train accuracy / confusion: 99.88% / [[356, 0, 0], [1, 266, 0], [0, 0, 177]], * Val accuracy / confusion: 57.88% / [[162, 42, 26], [63, 76, 36], [21, 31, 63]] ------------------------------ Epoch 1537 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011510 - Iter 024 / 025, Loss: 0.004395 * Train accuracy / confusion: 99.62% / [[354, 2, 1], [0, 270, 0], [0, 0, 173]], * Val accuracy / confusion: 56.73% / [[161, 42, 27], [76, 76, 23], [22, 35, 58]] ------------------------------ Epoch 1538 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.069527 - Iter 024 / 025, Loss: 0.011087 * Train accuracy / confusion: 98.75% / [[357, 3, 1], [2, 262, 1], [1, 2, 171]], * Val accuracy / confusion: 56.73% / [[148, 48, 34], [51, 80, 44], [21, 27, 67]] ------------------------------ Epoch 1539 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024896 - Iter 024 / 025, Loss: 0.003921 * Train accuracy / confusion: 99.00% / [[351, 1, 0], [4, 263, 2], [1, 0, 178]], * Val accuracy / confusion: 57.31% / [[161, 35, 34], [75, 75, 25], [17, 36, 62]] ------------------------------ Epoch 1540 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009287 - Iter 024 / 025, Loss: 0.012655 * Train accuracy / confusion: 99.38% / [[354, 2, 1], [1, 267, 1], [0, 0, 174]], * Val accuracy / confusion: 58.08% / [[159, 38, 33], [59, 84, 32], [23, 33, 59]] ------------------------------ Epoch 1541 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000683 - Iter 024 / 025, Loss: 0.001954 * Train accuracy / confusion: 99.62% / [[358, 2, 0], [1, 266, 0], [0, 0, 173]], * Val accuracy / confusion: 55.00% / [[154, 49, 27], [68, 74, 33], [22, 35, 58]] ------------------------------ Epoch 1542 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005814 - Iter 024 / 025, Loss: 0.012010 * Train accuracy / confusion: 98.62% / [[357, 1, 0], [5, 256, 3], [0, 2, 176]], * Val accuracy / confusion: 55.77% / [[148, 57, 25], [64, 82, 29], [22, 33, 60]] ------------------------------ Epoch 1543 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.021916 - Iter 024 / 025, Loss: 0.002361 * Train accuracy / confusion: 99.00% / [[356, 2, 0], [1, 262, 3], [1, 1, 174]], * Val accuracy / confusion: 56.35% / [[149, 51, 30], [65, 79, 31], [21, 29, 65]] ------------------------------ Epoch 1544 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024074 - Iter 024 / 025, Loss: 0.004276 * Train accuracy / confusion: 99.38% / [[353, 2, 1], [1, 265, 0], [1, 0, 177]], * Val accuracy / confusion: 56.35% / [[151, 49, 30], [59, 79, 37], [20, 32, 63]] ------------------------------ Epoch 1545 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003835 - Iter 024 / 025, Loss: 0.000854 * Train accuracy / confusion: 99.12% / [[356, 3, 0], [2, 263, 1], [0, 1, 174]], * Val accuracy / confusion: 56.73% / [[157, 42, 31], [66, 74, 35], [21, 30, 64]] ------------------------------ Epoch 1546 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.061681 - Iter 024 / 025, Loss: 0.001455 * Train accuracy / confusion: 99.50% / [[357, 2, 0], [0, 261, 0], [0, 2, 178]], * Val accuracy / confusion: 55.38% / [[151, 48, 31], [66, 79, 30], [24, 33, 58]] ------------------------------ Epoch 1547 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.014893 - Iter 024 / 025, Loss: 0.000925 * Train accuracy / confusion: 99.38% / [[358, 0, 0], [4, 261, 1], [0, 0, 176]], * Val accuracy / confusion: 55.77% / [[147, 48, 35], [60, 80, 35], [20, 32, 63]] ------------------------------ Epoch 1548 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002011 - Iter 024 / 025, Loss: 0.114737 * Train accuracy / confusion: 98.75% / [[357, 2, 0], [2, 266, 2], [2, 2, 167]], * Val accuracy / confusion: 54.81% / [[148, 46, 36], [63, 73, 39], [24, 27, 64]] ------------------------------ Epoch 1549 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002657 - Iter 024 / 025, Loss: 0.002060 * Train accuracy / confusion: 99.25% / [[355, 2, 0], [3, 262, 0], [1, 0, 177]], * Val accuracy / confusion: 56.73% / [[149, 47, 34], [61, 82, 32], [21, 30, 64]] ------------------------------ Epoch 1550 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003438 - Iter 024 / 025, Loss: 0.223720 * Train accuracy / confusion: 99.25% / [[353, 3, 0], [2, 263, 1], [0, 0, 178]], * Val accuracy / confusion: 59.81% / [[159, 41, 30], [64, 86, 25], [21, 28, 66]] ------------------------------ Epoch 1551 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005884 - Iter 024 / 025, Loss: 0.027823 * Train accuracy / confusion: 99.12% / [[351, 3, 1], [0, 269, 2], [1, 0, 173]], * Val accuracy / confusion: 55.77% / [[154, 49, 27], [69, 72, 34], [18, 33, 64]] ------------------------------ Epoch 1552 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.014989 - Iter 024 / 025, Loss: 0.009344 * Train accuracy / confusion: 99.00% / [[349, 0, 2], [3, 267, 0], [2, 1, 176]], * Val accuracy / confusion: 55.38% / [[156, 43, 31], [70, 71, 34], [23, 31, 61]] ------------------------------ Epoch 1553 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001567 - Iter 024 / 025, Loss: 0.001152 * Train accuracy / confusion: 99.25% / [[356, 0, 0], [5, 261, 1], [0, 0, 177]], * Val accuracy / confusion: 55.96% / [[153, 43, 34], [69, 79, 27], [21, 35, 59]] ------------------------------ Epoch 1554 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002073 - Iter 024 / 025, Loss: 0.003422 * Train accuracy / confusion: 99.50% / [[358, 1, 1], [1, 265, 0], [0, 1, 173]], * Val accuracy / confusion: 54.81% / [[152, 47, 31], [64, 73, 38], [23, 32, 60]] ------------------------------ Epoch 1555 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.037860 - Iter 024 / 025, Loss: 0.005062 * Train accuracy / confusion: 99.38% / [[354, 4, 0], [1, 265, 0], [0, 0, 176]], * Val accuracy / confusion: 53.85% / [[149, 47, 34], [63, 76, 36], [21, 39, 55]] ------------------------------ Epoch 1556 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001815 - Iter 024 / 025, Loss: 0.033395 * Train accuracy / confusion: 99.25% / [[352, 2, 0], [4, 263, 0], [0, 0, 179]], * Val accuracy / confusion: 53.65% / [[148, 50, 32], [67, 71, 37], [25, 30, 60]] ------------------------------ Epoch 1557 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003481 - Iter 024 / 025, Loss: 0.021695 * Train accuracy / confusion: 98.75% / [[354, 4, 1], [2, 264, 0], [2, 1, 172]], * Val accuracy / confusion: 56.15% / [[149, 49, 32], [57, 84, 34], [20, 36, 59]] ------------------------------ Epoch 1558 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.025022 - Iter 024 / 025, Loss: 0.026806 * Train accuracy / confusion: 99.38% / [[357, 3, 0], [0, 265, 1], [1, 0, 173]], * Val accuracy / confusion: 54.42% / [[151, 46, 33], [64, 73, 38], [24, 32, 59]] ------------------------------ Epoch 1559 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.033750 - Iter 024 / 025, Loss: 0.036516 * Train accuracy / confusion: 99.00% / [[354, 2, 0], [4, 263, 1], [0, 1, 175]], * Val accuracy / confusion: 56.15% / [[154, 44, 32], [67, 74, 34], [24, 27, 64]] ------------------------------ Epoch 1560 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000793 - Iter 024 / 025, Loss: 0.032861 * Train accuracy / confusion: 99.12% / [[357, 3, 0], [3, 258, 0], [0, 1, 178]], * Val accuracy / confusion: 57.12% / [[150, 46, 34], [56, 85, 34], [19, 34, 62]] ------------------------------ Epoch 1561 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001042 - Iter 024 / 025, Loss: 0.116599 * Train accuracy / confusion: 98.88% / [[352, 1, 1], [5, 263, 0], [2, 0, 176]], * Val accuracy / confusion: 55.77% / [[152, 48, 30], [71, 72, 32], [20, 29, 66]] ------------------------------ Epoch 1562 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.019048 - Iter 024 / 025, Loss: 0.006443 * Train accuracy / confusion: 99.62% / [[353, 0, 0], [2, 269, 0], [1, 0, 175]], * Val accuracy / confusion: 55.19% / [[154, 43, 33], [68, 75, 32], [23, 34, 58]] ------------------------------ Epoch 1563 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.017205 - Iter 024 / 025, Loss: 0.065911 * Train accuracy / confusion: 98.88% / [[354, 2, 1], [4, 266, 0], [2, 0, 171]], * Val accuracy / confusion: 55.77% / [[153, 40, 37], [66, 78, 31], [21, 35, 59]] ------------------------------ Epoch 1564 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007719 - Iter 024 / 025, Loss: 0.005667 * Train accuracy / confusion: 99.50% / [[352, 1, 0], [2, 267, 0], [1, 0, 177]], * Val accuracy / confusion: 55.58% / [[157, 41, 32], [68, 73, 34], [22, 34, 59]] ------------------------------ Epoch 1565 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002239 - Iter 024 / 025, Loss: 0.001840 * Train accuracy / confusion: 99.38% / [[354, 2, 1], [1, 264, 1], [0, 0, 177]], * Val accuracy / confusion: 57.12% / [[157, 43, 30], [63, 74, 38], [24, 25, 66]] ------------------------------ Epoch 1566 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000679 - Iter 024 / 025, Loss: 0.020815 * Train accuracy / confusion: 99.12% / [[350, 3, 2], [1, 266, 0], [1, 0, 177]], * Val accuracy / confusion: 54.81% / [[149, 54, 27], [64, 76, 35], [24, 31, 60]] ------------------------------ Epoch 1567 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.074821 - Iter 024 / 025, Loss: 0.014760 * Train accuracy / confusion: 98.50% / [[349, 2, 2], [4, 265, 0], [2, 2, 174]], * Val accuracy / confusion: 57.12% / [[152, 49, 29], [57, 84, 34], [22, 32, 61]] ------------------------------ Epoch 1568 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.060705 - Iter 024 / 025, Loss: 0.180706 * Train accuracy / confusion: 98.25% / [[354, 3, 1], [5, 260, 2], [2, 1, 172]], * Val accuracy / confusion: 56.54% / [[153, 46, 31], [61, 79, 35], [22, 31, 62]] ------------------------------ Epoch 1569 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003642 - Iter 024 / 025, Loss: 0.004490 * Train accuracy / confusion: 99.75% / [[355, 2, 0], [0, 267, 0], [0, 0, 176]], * Val accuracy / confusion: 55.58% / [[156, 42, 32], [71, 75, 29], [25, 32, 58]] ------------------------------ Epoch 1570 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013595 - Iter 024 / 025, Loss: 0.003763 * Train accuracy / confusion: 99.38% / [[352, 1, 2], [0, 268, 1], [0, 1, 175]], * Val accuracy / confusion: 56.35% / [[156, 43, 31], [73, 74, 28], [19, 33, 63]] ------------------------------ Epoch 1571 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.046344 - Iter 024 / 025, Loss: 0.005791 * Train accuracy / confusion: 99.62% / [[351, 2, 0], [1, 268, 0], [0, 0, 178]], * Val accuracy / confusion: 56.54% / [[149, 47, 34], [62, 79, 34], [20, 29, 66]] ------------------------------ Epoch 1572 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.008902 - Iter 024 / 025, Loss: 0.006108 * Train accuracy / confusion: 99.50% / [[356, 1, 0], [2, 268, 0], [1, 0, 172]], * Val accuracy / confusion: 55.38% / [[150, 44, 36], [65, 70, 40], [19, 28, 68]] ------------------------------ Epoch 1573 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.054342 - Iter 024 / 025, Loss: 0.000699 * Train accuracy / confusion: 99.62% / [[361, 1, 0], [0, 266, 0], [1, 1, 170]], * Val accuracy / confusion: 57.12% / [[157, 40, 33], [66, 73, 36], [16, 32, 67]] ------------------------------ Epoch 1574 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001077 - Iter 024 / 025, Loss: 0.077292 * Train accuracy / confusion: 98.75% / [[354, 1, 1], [3, 266, 1], [0, 4, 170]], * Val accuracy / confusion: 56.35% / [[156, 42, 32], [70, 73, 32], [19, 32, 64]] ------------------------------ Epoch 1575 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005836 - Iter 024 / 025, Loss: 0.015345 * Train accuracy / confusion: 99.12% / [[357, 1, 0], [4, 266, 0], [0, 2, 170]], * Val accuracy / confusion: 55.96% / [[155, 45, 30], [67, 68, 40], [19, 28, 68]] ------------------------------ Epoch 1576 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.081771 - Iter 024 / 025, Loss: 0.014124 * Train accuracy / confusion: 99.62% / [[352, 0, 1], [1, 268, 1], [0, 0, 177]], * Val accuracy / confusion: 56.35% / [[154, 43, 33], [67, 75, 33], [20, 31, 64]] ------------------------------ Epoch 1577 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010552 - Iter 024 / 025, Loss: 0.117981 * Train accuracy / confusion: 99.25% / [[353, 2, 0], [4, 264, 0], [0, 0, 177]], * Val accuracy / confusion: 58.08% / [[156, 45, 29], [59, 82, 34], [21, 30, 64]] ------------------------------ Epoch 1578 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.122014 - Iter 024 / 025, Loss: 0.007413 * Train accuracy / confusion: 99.00% / [[355, 4, 0], [2, 263, 0], [1, 1, 174]], * Val accuracy / confusion: 55.19% / [[154, 47, 29], [64, 76, 35], [22, 36, 57]] ------------------------------ Epoch 1579 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001662 - Iter 024 / 025, Loss: 0.007094 * Train accuracy / confusion: 99.38% / [[355, 1, 0], [2, 265, 1], [0, 1, 175]], * Val accuracy / confusion: 57.69% / [[157, 47, 26], [57, 81, 37], [23, 30, 62]] ------------------------------ Epoch 1580 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005399 - Iter 024 / 025, Loss: 0.009750 * Train accuracy / confusion: 99.62% / [[355, 2, 0], [1, 262, 0], [0, 0, 180]], * Val accuracy / confusion: 56.54% / [[153, 48, 29], [61, 80, 34], [21, 33, 61]] ------------------------------ Epoch 1581 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007606 - Iter 024 / 025, Loss: 0.021044 * Train accuracy / confusion: 99.38% / [[359, 1, 0], [2, 266, 2], [0, 0, 170]], * Val accuracy / confusion: 56.54% / [[161, 42, 27], [66, 74, 35], [16, 40, 59]] ------------------------------ Epoch 1582 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011814 - Iter 024 / 025, Loss: 0.018403 * Train accuracy / confusion: 99.38% / [[355, 0, 0], [3, 264, 2], [0, 0, 176]], * Val accuracy / confusion: 53.65% / [[143, 56, 31], [68, 71, 36], [16, 34, 65]] ------------------------------ Epoch 1583 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002997 - Iter 024 / 025, Loss: 0.003808 * Train accuracy / confusion: 99.00% / [[351, 2, 0], [2, 263, 1], [2, 1, 178]], * Val accuracy / confusion: 55.19% / [[148, 48, 34], [62, 77, 36], [20, 33, 62]] ------------------------------ Epoch 1584 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002399 - Iter 024 / 025, Loss: 0.043984 * Train accuracy / confusion: 99.12% / [[351, 4, 0], [1, 264, 1], [1, 0, 178]], * Val accuracy / confusion: 54.62% / [[152, 43, 35], [60, 74, 41], [17, 40, 58]] ------------------------------ Epoch 1585 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011546 - Iter 024 / 025, Loss: 0.075480 * Train accuracy / confusion: 99.62% / [[349, 1, 0], [1, 269, 0], [1, 0, 179]], * Val accuracy / confusion: 56.35% / [[152, 51, 27], [67, 74, 34], [20, 28, 67]] ------------------------------ Epoch 1586 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012003 - Iter 024 / 025, Loss: 0.012336 * Train accuracy / confusion: 99.38% / [[357, 0, 1], [2, 262, 1], [1, 0, 176]], * Val accuracy / confusion: 54.81% / [[152, 47, 31], [68, 71, 36], [21, 32, 62]] ------------------------------ Epoch 1587 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.049781 - Iter 024 / 025, Loss: 0.005946 * Train accuracy / confusion: 98.88% / [[351, 2, 0], [5, 264, 0], [1, 1, 176]], * Val accuracy / confusion: 57.12% / [[157, 47, 26], [70, 75, 30], [19, 31, 65]] ------------------------------ Epoch 1588 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.027135 - Iter 024 / 025, Loss: 0.083280 * Train accuracy / confusion: 98.75% / [[355, 1, 1], [2, 266, 2], [0, 4, 169]], * Val accuracy / confusion: 56.92% / [[153, 45, 32], [60, 79, 36], [18, 33, 64]] ------------------------------ Epoch 1589 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024546 - Iter 024 / 025, Loss: 0.050979 * Train accuracy / confusion: 98.38% / [[355, 1, 2], [5, 258, 3], [0, 2, 174]], * Val accuracy / confusion: 54.04% / [[149, 44, 37], [67, 72, 36], [17, 38, 60]] ------------------------------ Epoch 1590 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.042743 - Iter 024 / 025, Loss: 0.010515 * Train accuracy / confusion: 99.12% / [[352, 2, 1], [3, 268, 0], [0, 1, 173]], * Val accuracy / confusion: 55.77% / [[148, 55, 27], [57, 80, 38], [22, 31, 62]] ------------------------------ Epoch 1591 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006292 - Iter 024 / 025, Loss: 0.021602 * Train accuracy / confusion: 99.38% / [[353, 4, 0], [1, 271, 0], [0, 0, 171]], * Val accuracy / confusion: 55.19% / [[151, 46, 33], [64, 71, 40], [18, 32, 65]] ------------------------------ Epoch 1592 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009368 - Iter 024 / 025, Loss: 0.003630 * Train accuracy / confusion: 99.12% / [[351, 2, 1], [2, 264, 1], [1, 0, 178]], * Val accuracy / confusion: 56.92% / [[156, 44, 30], [64, 77, 34], [21, 31, 63]] ------------------------------ Epoch 1593 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000840 - Iter 024 / 025, Loss: 0.048728 * Train accuracy / confusion: 99.38% / [[357, 1, 0], [3, 257, 0], [0, 1, 181]], * Val accuracy / confusion: 54.42% / [[155, 44, 31], [68, 70, 37], [25, 32, 58]] ------------------------------ Epoch 1594 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.019922 - Iter 024 / 025, Loss: 0.057194 * Train accuracy / confusion: 99.00% / [[353, 2, 0], [3, 268, 0], [3, 0, 171]], * Val accuracy / confusion: 55.00% / [[152, 45, 33], [67, 74, 34], [20, 35, 60]] ------------------------------ Epoch 1595 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.046734 - Iter 024 / 025, Loss: 0.016731 * Train accuracy / confusion: 99.75% / [[353, 0, 0], [1, 269, 0], [0, 1, 176]], * Val accuracy / confusion: 55.96% / [[156, 44, 30], [70, 74, 31], [21, 33, 61]] ------------------------------ Epoch 1596 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000601 - Iter 024 / 025, Loss: 0.037775 * Train accuracy / confusion: 99.50% / [[353, 0, 0], [2, 268, 0], [1, 1, 175]], * Val accuracy / confusion: 56.54% / [[154, 41, 35], [68, 74, 33], [18, 31, 66]] ------------------------------ Epoch 1597 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003026 - Iter 024 / 025, Loss: 0.022206 * Train accuracy / confusion: 99.12% / [[350, 1, 0], [3, 265, 2], [1, 0, 178]], * Val accuracy / confusion: 57.69% / [[161, 37, 32], [62, 76, 37], [19, 33, 63]] ------------------------------ Epoch 1598 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.031244 - Iter 024 / 025, Loss: 0.009417 * Train accuracy / confusion: 99.75% / [[356, 0, 1], [1, 266, 0], [0, 0, 176]], * Val accuracy / confusion: 54.62% / [[152, 51, 27], [69, 65, 41], [17, 31, 67]] ------------------------------ Epoch 1599 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020353 - Iter 024 / 025, Loss: 0.002180 * Train accuracy / confusion: 99.25% / [[356, 2, 0], [2, 269, 1], [0, 1, 169]], * Val accuracy / confusion: 56.92% / [[156, 46, 28], [67, 75, 33], [17, 33, 65]] ------------------------------ Epoch 1600 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001370 - Iter 024 / 025, Loss: 0.025533 * Train accuracy / confusion: 99.88% / [[357, 0, 0], [0, 268, 0], [0, 1, 174]], * Val accuracy / confusion: 57.69% / [[161, 36, 33], [66, 76, 33], [17, 35, 63]] ------------------------------ Epoch 1601 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.159527 - Iter 024 / 025, Loss: 0.005871 * Train accuracy / confusion: 98.75% / [[349, 4, 1], [4, 262, 1], [0, 0, 179]], * Val accuracy / confusion: 55.00% / [[149, 52, 29], [61, 73, 41], [17, 34, 64]] ------------------------------ Epoch 1602 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002301 - Iter 024 / 025, Loss: 0.001538 * Train accuracy / confusion: 98.88% / [[350, 2, 1], [4, 262, 0], [1, 1, 179]], * Val accuracy / confusion: 56.54% / [[153, 47, 30], [61, 78, 36], [22, 30, 63]] ------------------------------ Epoch 1603 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.089310 - Iter 024 / 025, Loss: 0.007040 * Train accuracy / confusion: 99.12% / [[354, 2, 1], [4, 262, 0], [0, 0, 177]], * Val accuracy / confusion: 55.38% / [[157, 42, 31], [73, 64, 38], [24, 24, 67]] ------------------------------ Epoch 1604 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002117 - Iter 024 / 025, Loss: 0.012650 * Train accuracy / confusion: 99.75% / [[356, 1, 0], [1, 268, 0], [0, 0, 174]], * Val accuracy / confusion: 54.42% / [[151, 48, 31], [67, 70, 38], [19, 34, 62]] ------------------------------ Epoch 1605 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018227 - Iter 024 / 025, Loss: 0.015015 * Train accuracy / confusion: 99.25% / [[353, 3, 0], [3, 263, 0], [0, 0, 178]], * Val accuracy / confusion: 58.27% / [[161, 38, 31], [63, 80, 32], [20, 33, 62]] ------------------------------ Epoch 1606 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012556 - Iter 024 / 025, Loss: 0.045232 * Train accuracy / confusion: 99.25% / [[354, 4, 1], [0, 261, 1], [0, 0, 179]], * Val accuracy / confusion: 56.15% / [[156, 45, 29], [66, 76, 33], [21, 34, 60]] ------------------------------ Epoch 1607 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.054951 - Iter 024 / 025, Loss: 0.027479 * Train accuracy / confusion: 99.12% / [[354, 2, 0], [4, 262, 0], [0, 1, 177]], * Val accuracy / confusion: 57.31% / [[161, 35, 34], [55, 78, 42], [23, 33, 59]] ------------------------------ Epoch 1608 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013826 - Iter 024 / 025, Loss: 0.004146 * Train accuracy / confusion: 99.75% / [[359, 1, 0], [1, 262, 0], [0, 0, 177]], * Val accuracy / confusion: 55.77% / [[159, 43, 28], [65, 76, 34], [23, 37, 55]] ------------------------------ Epoch 1609 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020074 - Iter 024 / 025, Loss: 0.024509 * Train accuracy / confusion: 99.50% / [[354, 1, 2], [1, 267, 0], [0, 0, 175]], * Val accuracy / confusion: 54.62% / [[159, 43, 28], [77, 68, 30], [22, 36, 57]] ------------------------------ Epoch 1610 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.029761 - Iter 024 / 025, Loss: 0.054246 * Train accuracy / confusion: 98.62% / [[355, 2, 2], [4, 262, 1], [1, 1, 172]], * Val accuracy / confusion: 54.23% / [[151, 46, 33], [70, 69, 36], [19, 34, 62]] ------------------------------ Epoch 1611 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006507 - Iter 024 / 025, Loss: 0.004904 * Train accuracy / confusion: 99.25% / [[353, 3, 0], [2, 264, 1], [0, 0, 177]], * Val accuracy / confusion: 57.69% / [[158, 44, 28], [64, 78, 33], [24, 27, 64]] ------------------------------ Epoch 1612 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009692 - Iter 024 / 025, Loss: 0.028861 * Train accuracy / confusion: 99.50% / [[358, 0, 1], [2, 265, 0], [0, 1, 173]], * Val accuracy / confusion: 57.31% / [[158, 44, 28], [69, 77, 29], [21, 31, 63]] ------------------------------ Epoch 1613 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.008564 - Iter 024 / 025, Loss: 0.000796 * Train accuracy / confusion: 99.00% / [[354, 2, 0], [3, 263, 0], [2, 1, 175]], * Val accuracy / confusion: 57.50% / [[157, 41, 32], [62, 81, 32], [21, 33, 61]] ------------------------------ Epoch 1614 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007539 - Iter 024 / 025, Loss: 0.007810 * Train accuracy / confusion: 99.00% / [[350, 5, 0], [2, 269, 0], [0, 1, 173]], * Val accuracy / confusion: 55.96% / [[147, 49, 34], [68, 79, 28], [19, 31, 65]] ------------------------------ Epoch 1615 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.044396 - Iter 024 / 025, Loss: 0.037801 * Train accuracy / confusion: 99.25% / [[347, 5, 0], [0, 270, 0], [0, 1, 177]], * Val accuracy / confusion: 55.19% / [[150, 53, 27], [67, 74, 34], [22, 30, 63]] ------------------------------ Epoch 1616 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003630 - Iter 024 / 025, Loss: 0.004029 * Train accuracy / confusion: 99.38% / [[354, 0, 1], [1, 265, 0], [1, 2, 176]], * Val accuracy / confusion: 56.15% / [[149, 51, 30], [65, 81, 29], [23, 30, 62]] ------------------------------ Epoch 1617 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011535 - Iter 024 / 025, Loss: 0.122488 * Train accuracy / confusion: 98.50% / [[352, 2, 2], [6, 261, 1], [1, 0, 175]], * Val accuracy / confusion: 56.35% / [[150, 43, 37], [59, 85, 31], [16, 41, 58]] ------------------------------ Epoch 1618 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006794 - Iter 024 / 025, Loss: 0.038176 * Train accuracy / confusion: 98.50% / [[354, 0, 0], [5, 263, 0], [6, 1, 171]], * Val accuracy / confusion: 57.69% / [[161, 41, 28], [75, 70, 30], [19, 27, 69]] ------------------------------ Epoch 1619 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001210 - Iter 024 / 025, Loss: 0.004602 * Train accuracy / confusion: 99.50% / [[360, 0, 1], [1, 263, 0], [2, 0, 173]], * Val accuracy / confusion: 55.00% / [[158, 40, 32], [71, 71, 33], [27, 31, 57]] ------------------------------ Epoch 1620 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.021366 - Iter 024 / 025, Loss: 0.030588 * Train accuracy / confusion: 98.88% / [[349, 2, 1], [6, 268, 0], [0, 0, 174]], * Val accuracy / confusion: 56.35% / [[160, 41, 29], [69, 72, 34], [22, 32, 61]] ------------------------------ Epoch 1621 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.019698 - Iter 024 / 025, Loss: 0.006387 * Train accuracy / confusion: 99.25% / [[349, 2, 1], [1, 268, 2], [0, 0, 177]], * Val accuracy / confusion: 55.38% / [[155, 42, 33], [61, 74, 40], [20, 36, 59]] ------------------------------ Epoch 1622 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.066267 - Iter 024 / 025, Loss: 0.011678 * Train accuracy / confusion: 99.00% / [[356, 1, 0], [3, 264, 2], [1, 1, 172]], * Val accuracy / confusion: 55.00% / [[147, 46, 37], [65, 74, 36], [22, 28, 65]] ------------------------------ Epoch 1623 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.067894 - Iter 024 / 025, Loss: 0.067373 * Train accuracy / confusion: 98.75% / [[355, 2, 1], [3, 263, 2], [1, 1, 172]], * Val accuracy / confusion: 54.81% / [[151, 47, 32], [67, 67, 41], [21, 27, 67]] ------------------------------ Epoch 1624 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.050367 - Iter 024 / 025, Loss: 0.000373 * Train accuracy / confusion: 99.00% / [[356, 2, 1], [4, 262, 0], [1, 0, 174]], * Val accuracy / confusion: 55.96% / [[151, 42, 37], [57, 73, 45], [16, 32, 67]] ------------------------------ Epoch 1625 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.029078 - Iter 024 / 025, Loss: 0.001195 * Train accuracy / confusion: 98.88% / [[353, 1, 2], [3, 265, 2], [1, 0, 173]], * Val accuracy / confusion: 54.42% / [[150, 43, 37], [74, 68, 33], [17, 33, 65]] ------------------------------ Epoch 1626 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009164 - Iter 024 / 025, Loss: 0.062836 * Train accuracy / confusion: 99.00% / [[355, 1, 1], [3, 264, 1], [0, 2, 173]], * Val accuracy / confusion: 53.85% / [[145, 53, 32], [65, 72, 38], [20, 32, 63]] ------------------------------ Epoch 1627 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007012 - Iter 024 / 025, Loss: 0.017826 * Train accuracy / confusion: 99.75% / [[352, 1, 0], [0, 270, 0], [0, 1, 176]], * Val accuracy / confusion: 54.81% / [[157, 47, 26], [71, 70, 34], [26, 31, 58]] ------------------------------ Epoch 1628 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015872 - Iter 024 / 025, Loss: 0.000802 * Train accuracy / confusion: 99.25% / [[356, 1, 0], [2, 263, 1], [1, 1, 175]], * Val accuracy / confusion: 57.69% / [[157, 48, 25], [58, 82, 35], [20, 34, 61]] ------------------------------ Epoch 1629 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004393 - Iter 024 / 025, Loss: 0.042312 * Train accuracy / confusion: 99.00% / [[355, 3, 0], [2, 266, 2], [0, 1, 171]], * Val accuracy / confusion: 54.81% / [[157, 43, 30], [72, 68, 35], [19, 36, 60]] ------------------------------ Epoch 1630 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012392 - Iter 024 / 025, Loss: 0.001720 * Train accuracy / confusion: 99.00% / [[354, 3, 0], [3, 262, 1], [0, 1, 176]], * Val accuracy / confusion: 55.58% / [[150, 52, 28], [65, 76, 34], [20, 32, 63]] ------------------------------ Epoch 1631 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001641 - Iter 024 / 025, Loss: 0.075038 * Train accuracy / confusion: 99.62% / [[354, 0, 0], [0, 267, 2], [1, 0, 176]], * Val accuracy / confusion: 55.00% / [[154, 46, 30], [64, 72, 39], [19, 36, 60]] ------------------------------ Epoch 1632 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000691 - Iter 024 / 025, Loss: 0.023891 * Train accuracy / confusion: 99.00% / [[360, 4, 0], [2, 263, 1], [0, 1, 169]], * Val accuracy / confusion: 55.19% / [[152, 48, 30], [68, 70, 37], [19, 31, 65]] ------------------------------ Epoch 1633 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002567 - Iter 024 / 025, Loss: 0.012580 * Train accuracy / confusion: 99.38% / [[355, 0, 0], [1, 266, 2], [1, 1, 174]], * Val accuracy / confusion: 55.58% / [[154, 45, 31], [69, 71, 35], [20, 31, 64]] ------------------------------ Epoch 1634 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000771 - Iter 024 / 025, Loss: 0.038222 * Train accuracy / confusion: 99.38% / [[354, 2, 0], [1, 267, 0], [0, 2, 174]], * Val accuracy / confusion: 54.81% / [[146, 47, 37], [56, 81, 38], [24, 33, 58]] ------------------------------ Epoch 1635 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002084 - Iter 024 / 025, Loss: 0.051445 * Train accuracy / confusion: 98.88% / [[349, 2, 2], [1, 267, 0], [3, 1, 175]], * Val accuracy / confusion: 56.15% / [[153, 45, 32], [60, 75, 40], [23, 28, 64]] ------------------------------ Epoch 1636 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001415 - Iter 024 / 025, Loss: 0.003829 * Train accuracy / confusion: 99.12% / [[355, 2, 0], [4, 263, 0], [1, 0, 175]], * Val accuracy / confusion: 55.96% / [[159, 41, 30], [70, 73, 32], [23, 33, 59]] ------------------------------ Epoch 1637 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000820 - Iter 024 / 025, Loss: 0.053156 * Train accuracy / confusion: 99.50% / [[351, 4, 0], [0, 272, 0], [0, 0, 173]], * Val accuracy / confusion: 55.96% / [[161, 41, 28], [69, 67, 39], [24, 28, 63]] ------------------------------ Epoch 1638 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.018802 - Iter 024 / 025, Loss: 0.053949 * Train accuracy / confusion: 99.25% / [[349, 1, 1], [3, 266, 1], [0, 0, 179]], * Val accuracy / confusion: 57.12% / [[154, 49, 27], [64, 76, 35], [25, 23, 67]] ------------------------------ Epoch 1639 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004131 - Iter 024 / 025, Loss: 0.011077 * Train accuracy / confusion: 99.12% / [[350, 3, 1], [1, 264, 1], [0, 1, 179]], * Val accuracy / confusion: 55.58% / [[150, 45, 35], [64, 75, 36], [20, 31, 64]] ------------------------------ Epoch 1640 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007579 - Iter 024 / 025, Loss: 0.000411 * Train accuracy / confusion: 99.38% / [[352, 2, 1], [1, 266, 0], [1, 0, 177]], * Val accuracy / confusion: 56.15% / [[155, 42, 33], [65, 77, 33], [21, 34, 60]] ------------------------------ Epoch 1641 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020337 - Iter 024 / 025, Loss: 0.015891 * Train accuracy / confusion: 99.25% / [[351, 1, 1], [3, 265, 0], [1, 0, 178]], * Val accuracy / confusion: 55.00% / [[158, 37, 35], [67, 63, 45], [18, 32, 65]] ------------------------------ Epoch 1642 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004528 - Iter 024 / 025, Loss: 0.003552 * Train accuracy / confusion: 99.38% / [[356, 0, 0], [0, 266, 1], [2, 2, 173]], * Val accuracy / confusion: 56.54% / [[155, 44, 31], [69, 72, 34], [22, 26, 67]] ------------------------------ Epoch 1643 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.095569 - Iter 024 / 025, Loss: 0.032854 * Train accuracy / confusion: 98.88% / [[351, 4, 0], [5, 266, 0], [0, 0, 174]], * Val accuracy / confusion: 53.08% / [[143, 51, 36], [63, 77, 35], [20, 39, 56]] ------------------------------ Epoch 1644 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002107 - Iter 024 / 025, Loss: 0.094794 * Train accuracy / confusion: 99.00% / [[353, 2, 1], [3, 265, 1], [0, 1, 174]], * Val accuracy / confusion: 55.38% / [[153, 43, 34], [67, 70, 38], [22, 28, 65]] ------------------------------ Epoch 1645 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006758 - Iter 024 / 025, Loss: 0.000412 * Train accuracy / confusion: 99.50% / [[354, 1, 1], [0, 270, 1], [1, 0, 172]], * Val accuracy / confusion: 55.00% / [[146, 45, 39], [58, 76, 41], [21, 30, 64]] ------------------------------ Epoch 1646 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.123129 - Iter 024 / 025, Loss: 0.002011 * Train accuracy / confusion: 99.12% / [[358, 2, 0], [5, 257, 0], [0, 0, 178]], * Val accuracy / confusion: 56.35% / [[158, 42, 30], [68, 73, 34], [19, 34, 62]] ------------------------------ Epoch 1647 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013741 - Iter 024 / 025, Loss: 0.003634 * Train accuracy / confusion: 99.38% / [[358, 1, 0], [2, 266, 0], [0, 2, 171]], * Val accuracy / confusion: 53.85% / [[153, 47, 30], [69, 65, 41], [22, 31, 62]] ------------------------------ Epoch 1648 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000822 - Iter 024 / 025, Loss: 0.028184 * Train accuracy / confusion: 99.12% / [[356, 2, 2], [2, 262, 0], [1, 0, 175]], * Val accuracy / confusion: 56.15% / [[160, 38, 32], [72, 66, 37], [18, 31, 66]] ------------------------------ Epoch 1649 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000349 - Iter 024 / 025, Loss: 0.002959 * Train accuracy / confusion: 99.38% / [[356, 1, 1], [2, 265, 0], [1, 0, 174]], * Val accuracy / confusion: 56.15% / [[149, 50, 31], [66, 77, 32], [18, 31, 66]] ------------------------------ Epoch 1650 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002088 - Iter 024 / 025, Loss: 0.003344 * Train accuracy / confusion: 99.62% / [[349, 1, 1], [1, 270, 0], [0, 0, 178]], * Val accuracy / confusion: 56.73% / [[146, 47, 37], [55, 81, 39], [19, 28, 68]] ------------------------------ Epoch 1651 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.029399 - Iter 024 / 025, Loss: 0.220239 * Train accuracy / confusion: 99.00% / [[352, 1, 0], [3, 265, 2], [2, 0, 175]], * Val accuracy / confusion: 53.65% / [[153, 41, 36], [69, 64, 42], [21, 32, 62]] ------------------------------ Epoch 1652 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006941 - Iter 024 / 025, Loss: 0.002374 * Train accuracy / confusion: 99.50% / [[353, 1, 0], [3, 264, 0], [0, 0, 179]], * Val accuracy / confusion: 57.88% / [[158, 46, 26], [62, 78, 35], [23, 27, 65]] ------------------------------ Epoch 1653 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012860 - Iter 024 / 025, Loss: 0.079092 * Train accuracy / confusion: 99.38% / [[354, 1, 1], [0, 269, 0], [2, 1, 172]], * Val accuracy / confusion: 57.12% / [[160, 35, 35], [67, 73, 35], [25, 26, 64]] ------------------------------ Epoch 1654 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003669 - Iter 024 / 025, Loss: 0.019210 * Train accuracy / confusion: 98.62% / [[352, 3, 1], [6, 262, 0], [1, 0, 175]], * Val accuracy / confusion: 57.31% / [[151, 49, 30], [59, 76, 40], [22, 22, 71]] ------------------------------ Epoch 1655 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001298 - Iter 024 / 025, Loss: 0.043335 * Train accuracy / confusion: 99.38% / [[353, 1, 1], [3, 267, 0], [0, 0, 175]], * Val accuracy / confusion: 55.38% / [[152, 44, 34], [56, 74, 45], [20, 33, 62]] ------------------------------ Epoch 1656 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003531 - Iter 024 / 025, Loss: 0.007908 * Train accuracy / confusion: 99.38% / [[353, 1, 0], [2, 265, 0], [0, 2, 177]], * Val accuracy / confusion: 54.81% / [[152, 48, 30], [71, 75, 29], [23, 34, 58]] ------------------------------ Epoch 1657 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001927 - Iter 024 / 025, Loss: 0.014619 * Train accuracy / confusion: 99.00% / [[353, 4, 0], [3, 265, 0], [1, 0, 174]], * Val accuracy / confusion: 55.77% / [[152, 45, 33], [66, 73, 36], [16, 34, 65]] ------------------------------ Epoch 1658 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000945 - Iter 024 / 025, Loss: 0.005468 * Train accuracy / confusion: 99.38% / [[362, 1, 0], [2, 260, 1], [0, 1, 173]], * Val accuracy / confusion: 57.12% / [[158, 43, 29], [64, 75, 36], [21, 30, 64]] ------------------------------ Epoch 1659 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001118 - Iter 024 / 025, Loss: 0.026243 * Train accuracy / confusion: 98.75% / [[356, 0, 3], [1, 262, 1], [3, 2, 172]], * Val accuracy / confusion: 56.54% / [[155, 44, 31], [68, 75, 32], [19, 32, 64]] ------------------------------ Epoch 1660 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001343 - Iter 024 / 025, Loss: 0.051328 * Train accuracy / confusion: 99.75% / [[356, 0, 0], [1, 264, 0], [0, 1, 178]], * Val accuracy / confusion: 57.31% / [[151, 47, 32], [56, 79, 40], [17, 30, 68]] ------------------------------ Epoch 1661 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007528 - Iter 024 / 025, Loss: 0.076690 * Train accuracy / confusion: 98.88% / [[357, 3, 0], [2, 262, 1], [3, 0, 172]], * Val accuracy / confusion: 56.92% / [[164, 42, 24], [70, 73, 32], [18, 38, 59]] ------------------------------ Epoch 1662 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007592 - Iter 024 / 025, Loss: 0.001251 * Train accuracy / confusion: 99.50% / [[357, 0, 1], [1, 262, 1], [0, 1, 177]], * Val accuracy / confusion: 54.42% / [[148, 42, 40], [69, 73, 33], [22, 31, 62]] ------------------------------ Epoch 1663 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001089 - Iter 024 / 025, Loss: 0.001398 * Train accuracy / confusion: 99.50% / [[356, 1, 0], [2, 266, 0], [0, 1, 174]], * Val accuracy / confusion: 57.12% / [[156, 36, 38], [64, 79, 32], [25, 28, 62]] ------------------------------ Epoch 1664 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003103 - Iter 024 / 025, Loss: 0.001708 * Train accuracy / confusion: 99.62% / [[358, 1, 0], [2, 267, 0], [0, 0, 172]], * Val accuracy / confusion: 57.31% / [[151, 41, 38], [56, 85, 34], [19, 34, 62]] ------------------------------ Epoch 1665 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024059 - Iter 024 / 025, Loss: 0.001841 * Train accuracy / confusion: 99.25% / [[361, 0, 1], [4, 260, 1], [0, 0, 173]], * Val accuracy / confusion: 54.81% / [[151, 44, 35], [63, 75, 37], [22, 34, 59]] ------------------------------ Epoch 1666 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002640 - Iter 024 / 025, Loss: 0.058247 * Train accuracy / confusion: 99.00% / [[356, 3, 1], [2, 262, 2], [0, 0, 174]], * Val accuracy / confusion: 57.88% / [[157, 37, 36], [59, 73, 43], [16, 28, 71]] ------------------------------ Epoch 1667 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.008651 - Iter 024 / 025, Loss: 0.005419 * Train accuracy / confusion: 99.75% / [[354, 0, 0], [0, 265, 1], [0, 1, 179]], * Val accuracy / confusion: 56.92% / [[161, 37, 32], [65, 70, 40], [22, 28, 65]] ------------------------------ Epoch 1668 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015706 - Iter 024 / 025, Loss: 0.000974 * Train accuracy / confusion: 99.50% / [[353, 1, 0], [2, 265, 0], [1, 0, 178]], * Val accuracy / confusion: 58.46% / [[159, 45, 26], [67, 77, 31], [23, 24, 68]] ------------------------------ Epoch 1669 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002007 - Iter 024 / 025, Loss: 0.003011 * Train accuracy / confusion: 99.12% / [[353, 2, 0], [3, 263, 1], [1, 0, 177]], * Val accuracy / confusion: 57.69% / [[160, 41, 29], [70, 74, 31], [20, 29, 66]] ------------------------------ Epoch 1670 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007270 - Iter 024 / 025, Loss: 0.054731 * Train accuracy / confusion: 99.25% / [[357, 1, 0], [4, 261, 0], [0, 1, 176]], * Val accuracy / confusion: 56.73% / [[158, 44, 28], [73, 73, 29], [21, 30, 64]] ------------------------------ Epoch 1671 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009758 - Iter 024 / 025, Loss: 0.002696 * Train accuracy / confusion: 99.12% / [[354, 2, 0], [4, 264, 0], [0, 1, 175]], * Val accuracy / confusion: 55.77% / [[153, 49, 28], [62, 73, 40], [20, 31, 64]] ------------------------------ Epoch 1672 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004351 - Iter 024 / 025, Loss: 0.006924 * Train accuracy / confusion: 99.75% / [[356, 0, 0], [1, 265, 1], [0, 0, 177]], * Val accuracy / confusion: 54.04% / [[151, 42, 37], [73, 67, 35], [25, 27, 63]] ------------------------------ Epoch 1673 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001386 - Iter 024 / 025, Loss: 0.003252 * Train accuracy / confusion: 99.50% / [[347, 3, 0], [0, 271, 1], [0, 0, 178]], * Val accuracy / confusion: 55.96% / [[155, 42, 33], [65, 72, 38], [22, 29, 64]] ------------------------------ Epoch 1674 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006180 - Iter 024 / 025, Loss: 0.003063 * Train accuracy / confusion: 99.38% / [[355, 0, 0], [0, 266, 2], [3, 0, 174]], * Val accuracy / confusion: 58.65% / [[156, 48, 26], [64, 81, 30], [23, 24, 68]] ------------------------------ Epoch 1675 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003103 - Iter 024 / 025, Loss: 0.002278 * Train accuracy / confusion: 99.75% / [[356, 0, 0], [0, 266, 1], [0, 1, 176]], * Val accuracy / confusion: 53.46% / [[153, 48, 29], [68, 65, 42], [23, 32, 60]] ------------------------------ Epoch 1676 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011588 - Iter 024 / 025, Loss: 0.072032 * Train accuracy / confusion: 98.75% / [[353, 2, 1], [4, 260, 1], [2, 0, 177]], * Val accuracy / confusion: 53.27% / [[144, 45, 41], [64, 72, 39], [22, 32, 61]] ------------------------------ Epoch 1677 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013782 - Iter 024 / 025, Loss: 0.003214 * Train accuracy / confusion: 99.25% / [[355, 0, 1], [1, 266, 2], [1, 1, 173]], * Val accuracy / confusion: 53.65% / [[150, 46, 34], [67, 71, 37], [21, 36, 58]] ------------------------------ Epoch 1678 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006318 - Iter 024 / 025, Loss: 0.008019 * Train accuracy / confusion: 99.38% / [[353, 0, 1], [2, 269, 1], [1, 0, 173]], * Val accuracy / confusion: 54.62% / [[150, 50, 30], [65, 68, 42], [23, 26, 66]] ------------------------------ Epoch 1679 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012292 - Iter 024 / 025, Loss: 0.004445 * Train accuracy / confusion: 99.62% / [[353, 1, 0], [2, 267, 0], [0, 0, 177]], * Val accuracy / confusion: 55.96% / [[154, 46, 30], [63, 75, 37], [19, 34, 62]] ------------------------------ Epoch 1680 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.011533 - Iter 024 / 025, Loss: 0.000407 * Train accuracy / confusion: 99.25% / [[353, 1, 0], [1, 268, 0], [3, 1, 173]], * Val accuracy / confusion: 55.38% / [[150, 53, 27], [62, 81, 32], [22, 36, 57]] ------------------------------ Epoch 1681 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004110 - Iter 024 / 025, Loss: 0.001101 * Train accuracy / confusion: 99.00% / [[357, 4, 1], [3, 257, 0], [0, 0, 178]], * Val accuracy / confusion: 56.54% / [[152, 48, 30], [63, 77, 35], [22, 28, 65]] ------------------------------ Epoch 1682 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001109 - Iter 024 / 025, Loss: 0.011805 * Train accuracy / confusion: 99.25% / [[351, 2, 1], [2, 264, 0], [1, 0, 179]], * Val accuracy / confusion: 57.88% / [[154, 45, 31], [60, 81, 34], [23, 26, 66]] ------------------------------ Epoch 1683 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005286 - Iter 024 / 025, Loss: 0.014175 * Train accuracy / confusion: 98.88% / [[354, 3, 0], [3, 265, 0], [1, 2, 172]], * Val accuracy / confusion: 54.42% / [[152, 39, 39], [64, 72, 39], [16, 40, 59]] ------------------------------ Epoch 1684 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000709 - Iter 024 / 025, Loss: 0.009625 * Train accuracy / confusion: 98.88% / [[349, 1, 0], [6, 264, 0], [0, 2, 178]], * Val accuracy / confusion: 56.35% / [[158, 41, 31], [65, 72, 38], [23, 29, 63]] ------------------------------ Epoch 1685 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.034692 - Iter 024 / 025, Loss: 0.003013 * Train accuracy / confusion: 99.62% / [[357, 0, 0], [2, 268, 0], [0, 1, 172]], * Val accuracy / confusion: 56.15% / [[146, 47, 37], [69, 77, 29], [22, 24, 69]] ------------------------------ Epoch 1686 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002846 - Iter 024 / 025, Loss: 0.001398 * Train accuracy / confusion: 99.50% / [[360, 1, 0], [2, 262, 1], [0, 0, 174]], * Val accuracy / confusion: 58.65% / [[152, 44, 34], [56, 80, 39], [11, 31, 73]] ------------------------------ Epoch 1687 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004957 - Iter 024 / 025, Loss: 0.005159 * Train accuracy / confusion: 99.25% / [[353, 1, 0], [3, 263, 1], [1, 0, 178]], * Val accuracy / confusion: 56.73% / [[160, 34, 36], [71, 69, 35], [19, 30, 66]] ------------------------------ Epoch 1688 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.022904 - Iter 024 / 025, Loss: 0.012571 * Train accuracy / confusion: 99.62% / [[353, 1, 0], [2, 267, 0], [0, 0, 177]], * Val accuracy / confusion: 55.96% / [[160, 40, 30], [74, 69, 32], [22, 31, 62]] ------------------------------ Epoch 1689 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012318 - Iter 024 / 025, Loss: 0.007151 * Train accuracy / confusion: 99.00% / [[349, 3, 1], [3, 265, 1], [0, 0, 178]], * Val accuracy / confusion: 56.15% / [[154, 48, 28], [63, 73, 39], [18, 32, 65]] ------------------------------ Epoch 1690 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000655 - Iter 024 / 025, Loss: 0.000972 * Train accuracy / confusion: 98.88% / [[353, 4, 1], [2, 266, 1], [0, 1, 172]], * Val accuracy / confusion: 55.38% / [[147, 46, 37], [66, 78, 31], [20, 32, 63]] ------------------------------ Epoch 1691 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002665 - Iter 024 / 025, Loss: 0.037313 * Train accuracy / confusion: 99.38% / [[357, 0, 0], [3, 260, 2], [0, 0, 178]], * Val accuracy / confusion: 56.35% / [[152, 47, 31], [71, 77, 27], [23, 28, 64]] ------------------------------ Epoch 1692 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.020130 - Iter 024 / 025, Loss: 0.002647 * Train accuracy / confusion: 99.12% / [[356, 2, 0], [3, 268, 1], [0, 1, 169]], * Val accuracy / confusion: 56.35% / [[153, 43, 34], [66, 77, 32], [21, 31, 63]] ------------------------------ Epoch 1693 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015082 - Iter 024 / 025, Loss: 0.009198 * Train accuracy / confusion: 99.12% / [[355, 1, 1], [2, 265, 2], [0, 1, 173]], * Val accuracy / confusion: 54.04% / [[147, 50, 33], [61, 74, 40], [21, 34, 60]] ------------------------------ Epoch 1694 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001313 - Iter 024 / 025, Loss: 0.005584 * Train accuracy / confusion: 99.50% / [[355, 4, 0], [0, 267, 0], [0, 0, 174]], * Val accuracy / confusion: 54.23% / [[149, 44, 37], [63, 72, 40], [22, 32, 61]] ------------------------------ Epoch 1695 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.055429 - Iter 024 / 025, Loss: 0.000934 * Train accuracy / confusion: 99.62% / [[354, 1, 1], [0, 270, 0], [0, 1, 173]], * Val accuracy / confusion: 57.69% / [[151, 46, 33], [63, 83, 29], [18, 31, 66]] ------------------------------ Epoch 1696 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003806 - Iter 024 / 025, Loss: 0.009291 * Train accuracy / confusion: 98.75% / [[356, 5, 1], [3, 261, 0], [0, 1, 173]], * Val accuracy / confusion: 54.04% / [[147, 49, 34], [66, 74, 35], [24, 31, 60]] ------------------------------ Epoch 1697 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.008954 - Iter 024 / 025, Loss: 0.001227 * Train accuracy / confusion: 100.00% / [[357, 0, 0], [0, 267, 0], [0, 0, 176]], * Val accuracy / confusion: 56.92% / [[157, 36, 37], [59, 76, 40], [24, 28, 63]] ------------------------------ Epoch 1698 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.054524 - Iter 024 / 025, Loss: 0.002899 * Train accuracy / confusion: 98.88% / [[358, 2, 0], [5, 261, 2], [0, 0, 172]], * Val accuracy / confusion: 55.58% / [[152, 48, 30], [68, 73, 34], [18, 33, 64]] ------------------------------ Epoch 1699 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002224 - Iter 024 / 025, Loss: 0.010246 * Train accuracy / confusion: 99.50% / [[355, 0, 2], [1, 264, 0], [0, 1, 177]], * Val accuracy / confusion: 60.38% / [[161, 37, 32], [56, 82, 37], [19, 25, 71]] ------------------------------ Epoch 1700 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004502 - Iter 024 / 025, Loss: 0.002532 * Train accuracy / confusion: 99.00% / [[359, 1, 0], [3, 263, 2], [1, 1, 170]], * Val accuracy / confusion: 57.50% / [[158, 42, 30], [56, 78, 41], [21, 31, 63]] ------------------------------ Epoch 1701 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002804 - Iter 024 / 025, Loss: 0.047125 * Train accuracy / confusion: 99.50% / [[354, 1, 1], [2, 265, 0], [0, 0, 177]], * Val accuracy / confusion: 56.92% / [[156, 45, 29], [66, 75, 34], [21, 29, 65]] ------------------------------ Epoch 1702 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007187 - Iter 024 / 025, Loss: 0.032183 * Train accuracy / confusion: 99.12% / [[357, 3, 0], [1, 261, 2], [0, 1, 175]], * Val accuracy / confusion: 57.31% / [[153, 49, 28], [70, 78, 27], [19, 29, 67]] ------------------------------ Epoch 1703 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.028247 - Iter 024 / 025, Loss: 0.001429 * Train accuracy / confusion: 99.38% / [[356, 1, 0], [3, 265, 0], [1, 0, 174]], * Val accuracy / confusion: 56.92% / [[153, 41, 36], [65, 82, 28], [23, 31, 61]] ------------------------------ Epoch 1704 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003742 - Iter 024 / 025, Loss: 0.004812 * Train accuracy / confusion: 99.50% / [[358, 1, 0], [3, 260, 0], [0, 0, 178]], * Val accuracy / confusion: 55.19% / [[152, 48, 30], [67, 68, 40], [15, 33, 67]] ------------------------------ Epoch 1705 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004562 - Iter 024 / 025, Loss: 0.002348 * Train accuracy / confusion: 99.50% / [[355, 2, 0], [0, 266, 1], [0, 1, 175]], * Val accuracy / confusion: 55.77% / [[155, 42, 33], [75, 66, 34], [19, 27, 69]] ------------------------------ Epoch 1706 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006532 - Iter 024 / 025, Loss: 0.055730 * Train accuracy / confusion: 99.12% / [[354, 3, 0], [2, 267, 1], [0, 1, 172]], * Val accuracy / confusion: 55.00% / [[150, 46, 34], [72, 78, 25], [19, 38, 58]] ------------------------------ Epoch 1707 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.057057 - Iter 024 / 025, Loss: 0.008593 * Train accuracy / confusion: 99.12% / [[352, 3, 1], [3, 265, 0], [0, 0, 176]], * Val accuracy / confusion: 55.96% / [[149, 47, 34], [54, 79, 42], [20, 32, 63]] ------------------------------ Epoch 1708 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000981 - Iter 024 / 025, Loss: 0.006069 * Train accuracy / confusion: 99.12% / [[363, 2, 0], [0, 260, 2], [3, 0, 170]], * Val accuracy / confusion: 56.92% / [[160, 44, 26], [66, 73, 36], [22, 30, 63]] ------------------------------ Epoch 1709 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000760 - Iter 024 / 025, Loss: 0.008616 * Train accuracy / confusion: 98.75% / [[351, 4, 0], [6, 265, 0], [0, 0, 174]], * Val accuracy / confusion: 56.35% / [[158, 40, 32], [64, 72, 39], [19, 33, 63]] ------------------------------ Epoch 1710 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003403 - Iter 024 / 025, Loss: 0.001028 * Train accuracy / confusion: 99.50% / [[355, 1, 0], [2, 267, 0], [0, 1, 174]], * Val accuracy / confusion: 54.62% / [[151, 49, 30], [69, 70, 36], [19, 33, 63]] ------------------------------ Epoch 1711 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010584 - Iter 024 / 025, Loss: 0.004891 * Train accuracy / confusion: 99.38% / [[358, 0, 2], [0, 261, 2], [0, 1, 176]], * Val accuracy / confusion: 56.73% / [[156, 46, 28], [67, 73, 35], [19, 30, 66]] ------------------------------ Epoch 1712 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001148 - Iter 024 / 025, Loss: 0.008692 * Train accuracy / confusion: 99.12% / [[357, 2, 0], [3, 266, 1], [1, 0, 170]], * Val accuracy / confusion: 55.96% / [[144, 49, 37], [65, 79, 31], [19, 28, 68]] ------------------------------ Epoch 1713 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.008177 - Iter 024 / 025, Loss: 0.010661 * Train accuracy / confusion: 99.62% / [[355, 1, 0], [1, 267, 0], [0, 1, 175]], * Val accuracy / confusion: 56.54% / [[160, 39, 31], [73, 72, 30], [22, 31, 62]] ------------------------------ Epoch 1714 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.008423 - Iter 024 / 025, Loss: 0.124288 * Train accuracy / confusion: 99.75% / [[352, 0, 2], [0, 266, 0], [0, 0, 180]], * Val accuracy / confusion: 54.81% / [[152, 46, 32], [70, 76, 29], [18, 40, 57]] ------------------------------ Epoch 1715 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.028100 - Iter 024 / 025, Loss: 0.044540 * Train accuracy / confusion: 99.12% / [[354, 3, 0], [3, 264, 0], [0, 1, 175]], * Val accuracy / confusion: 54.62% / [[153, 39, 38], [68, 71, 36], [20, 35, 60]] ------------------------------ Epoch 1716 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000718 - Iter 024 / 025, Loss: 0.004057 * Train accuracy / confusion: 99.12% / [[352, 2, 1], [1, 265, 2], [0, 1, 176]], * Val accuracy / confusion: 55.38% / [[154, 46, 30], [67, 71, 37], [25, 27, 63]] ------------------------------ Epoch 1717 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006078 - Iter 024 / 025, Loss: 0.005415 * Train accuracy / confusion: 99.12% / [[353, 3, 0], [2, 265, 2], [0, 0, 175]], * Val accuracy / confusion: 54.42% / [[146, 51, 33], [72, 66, 37], [19, 25, 71]] ------------------------------ Epoch 1718 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003226 - Iter 024 / 025, Loss: 0.011486 * Train accuracy / confusion: 99.62% / [[354, 0, 0], [2, 263, 1], [0, 0, 180]], * Val accuracy / confusion: 58.08% / [[157, 42, 31], [69, 76, 30], [18, 28, 69]] ------------------------------ Epoch 1719 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000956 - Iter 024 / 025, Loss: 0.021358 * Train accuracy / confusion: 99.25% / [[353, 2, 0], [3, 265, 0], [0, 1, 176]], * Val accuracy / confusion: 52.88% / [[146, 46, 38], [72, 67, 36], [20, 33, 62]] ------------------------------ Epoch 1720 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.025171 - Iter 024 / 025, Loss: 0.008149 * Train accuracy / confusion: 99.62% / [[353, 1, 0], [0, 266, 1], [0, 1, 178]], * Val accuracy / confusion: 54.23% / [[144, 54, 32], [59, 78, 38], [23, 32, 60]] ------------------------------ Epoch 1721 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000863 - Iter 024 / 025, Loss: 0.170528 * Train accuracy / confusion: 99.12% / [[353, 1, 0], [4, 265, 1], [0, 1, 175]], * Val accuracy / confusion: 54.04% / [[147, 46, 37], [63, 70, 42], [20, 31, 64]] ------------------------------ Epoch 1722 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001327 - Iter 024 / 025, Loss: 0.030430 * Train accuracy / confusion: 99.12% / [[359, 2, 0], [2, 266, 0], [2, 1, 168]], * Val accuracy / confusion: 55.19% / [[156, 41, 33], [64, 75, 36], [23, 36, 56]] ------------------------------ Epoch 1723 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004110 - Iter 024 / 025, Loss: 0.003096 * Train accuracy / confusion: 99.25% / [[348, 3, 1], [1, 270, 0], [1, 0, 176]], * Val accuracy / confusion: 54.42% / [[154, 47, 29], [74, 67, 34], [22, 31, 62]] ------------------------------ Epoch 1724 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.017074 - Iter 024 / 025, Loss: 0.009326 * Train accuracy / confusion: 99.00% / [[351, 5, 0], [2, 264, 1], [0, 0, 177]], * Val accuracy / confusion: 54.62% / [[151, 46, 33], [67, 70, 38], [24, 28, 63]] ------------------------------ Epoch 1725 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.015451 - Iter 024 / 025, Loss: 0.058590 * Train accuracy / confusion: 99.00% / [[354, 3, 1], [3, 263, 0], [0, 1, 175]], * Val accuracy / confusion: 56.73% / [[149, 48, 33], [64, 83, 28], [21, 31, 63]] ------------------------------ Epoch 1726 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.007289 - Iter 024 / 025, Loss: 0.142759 * Train accuracy / confusion: 99.25% / [[357, 1, 0], [2, 264, 1], [0, 2, 173]], * Val accuracy / confusion: 55.77% / [[153, 42, 35], [66, 72, 37], [19, 31, 65]] ------------------------------ Epoch 1727 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009823 - Iter 024 / 025, Loss: 0.011282 * Train accuracy / confusion: 99.50% / [[349, 2, 0], [1, 272, 0], [0, 1, 175]], * Val accuracy / confusion: 58.46% / [[158, 32, 40], [61, 82, 32], [23, 28, 64]] ------------------------------ Epoch 1728 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.048145 - Iter 024 / 025, Loss: 0.018871 * Train accuracy / confusion: 99.75% / [[357, 0, 0], [1, 265, 0], [0, 1, 176]], * Val accuracy / confusion: 54.62% / [[156, 44, 30], [67, 69, 39], [20, 36, 59]] ------------------------------ Epoch 1729 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003175 - Iter 024 / 025, Loss: 0.015148 * Train accuracy / confusion: 99.38% / [[357, 3, 0], [2, 261, 0], [0, 0, 177]], * Val accuracy / confusion: 56.15% / [[150, 47, 33], [59, 74, 42], [21, 26, 68]] ------------------------------ Epoch 1730 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.034815 - Iter 024 / 025, Loss: 0.006610 * Train accuracy / confusion: 99.62% / [[355, 1, 1], [0, 268, 1], [0, 0, 174]], * Val accuracy / confusion: 56.54% / [[155, 43, 32], [64, 80, 31], [22, 34, 59]] ------------------------------ Epoch 1731 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.053291 - Iter 024 / 025, Loss: 0.030258 * Train accuracy / confusion: 99.38% / [[358, 1, 0], [3, 259, 1], [0, 0, 178]], * Val accuracy / confusion: 55.38% / [[148, 51, 31], [63, 75, 37], [22, 28, 65]] ------------------------------ Epoch 1732 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001338 - Iter 024 / 025, Loss: 0.003686 * Train accuracy / confusion: 98.62% / [[352, 0, 2], [5, 266, 1], [1, 2, 171]], * Val accuracy / confusion: 55.58% / [[153, 42, 35], [68, 74, 33], [24, 29, 62]] ------------------------------ Epoch 1733 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000606 - Iter 024 / 025, Loss: 0.008500 * Train accuracy / confusion: 99.25% / [[356, 1, 1], [2, 263, 0], [1, 1, 175]], * Val accuracy / confusion: 58.46% / [[162, 42, 26], [59, 77, 39], [20, 30, 65]] ------------------------------ Epoch 1734 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005235 - Iter 024 / 025, Loss: 0.000707 * Train accuracy / confusion: 99.12% / [[350, 3, 1], [2, 267, 0], [1, 0, 176]], * Val accuracy / confusion: 55.77% / [[157, 41, 32], [67, 74, 34], [20, 36, 59]] ------------------------------ Epoch 1735 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006290 - Iter 024 / 025, Loss: 0.160773 * Train accuracy / confusion: 99.25% / [[355, 1, 0], [3, 264, 0], [2, 0, 175]], * Val accuracy / confusion: 55.77% / [[149, 39, 42], [70, 76, 29], [23, 27, 65]] ------------------------------ Epoch 1736 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.211318 - Iter 024 / 025, Loss: 0.015876 * Train accuracy / confusion: 99.50% / [[354, 2, 0], [2, 266, 0], [0, 0, 176]], * Val accuracy / confusion: 54.81% / [[155, 44, 31], [69, 67, 39], [22, 30, 63]] ------------------------------ Epoch 1737 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003516 - Iter 024 / 025, Loss: 0.001203 * Train accuracy / confusion: 99.00% / [[356, 3, 1], [2, 260, 1], [0, 1, 176]], * Val accuracy / confusion: 54.42% / [[145, 56, 29], [64, 77, 34], [23, 31, 61]] ------------------------------ Epoch 1738 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.019378 - Iter 024 / 025, Loss: 0.003418 * Train accuracy / confusion: 99.62% / [[362, 1, 0], [1, 260, 0], [0, 1, 175]], * Val accuracy / confusion: 55.58% / [[150, 49, 31], [55, 73, 47], [21, 28, 66]] ------------------------------ Epoch 1739 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006250 - Iter 024 / 025, Loss: 0.009410 * Train accuracy / confusion: 99.38% / [[356, 3, 0], [2, 264, 0], [0, 0, 175]], * Val accuracy / confusion: 56.35% / [[147, 49, 34], [66, 72, 37], [16, 25, 74]] ------------------------------ Epoch 1740 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005416 - Iter 024 / 025, Loss: 0.000799 * Train accuracy / confusion: 99.38% / [[354, 2, 0], [1, 265, 0], [2, 0, 176]], * Val accuracy / confusion: 55.19% / [[148, 51, 31], [59, 76, 40], [23, 29, 63]] ------------------------------ Epoch 1741 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010103 - Iter 024 / 025, Loss: 0.003417 * Train accuracy / confusion: 99.12% / [[352, 1, 1], [5, 268, 0], [0, 0, 173]], * Val accuracy / confusion: 55.58% / [[156, 37, 37], [74, 68, 33], [22, 28, 65]] ------------------------------ Epoch 1742 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.078668 - Iter 024 / 025, Loss: 0.001458 * Train accuracy / confusion: 99.38% / [[356, 3, 0], [2, 264, 0], [0, 0, 175]], * Val accuracy / confusion: 56.92% / [[152, 42, 36], [64, 77, 34], [22, 26, 67]] ------------------------------ Epoch 1743 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010660 - Iter 024 / 025, Loss: 0.019069 * Train accuracy / confusion: 99.75% / [[358, 1, 0], [0, 269, 0], [0, 1, 171]], * Val accuracy / confusion: 56.35% / [[157, 48, 25], [68, 71, 36], [24, 26, 65]] ------------------------------ Epoch 1744 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.013677 - Iter 024 / 025, Loss: 0.000944 * Train accuracy / confusion: 99.38% / [[358, 2, 0], [1, 261, 2], [0, 0, 176]], * Val accuracy / confusion: 56.15% / [[150, 49, 31], [65, 78, 32], [20, 31, 64]] ------------------------------ Epoch 1745 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.047115 - Iter 024 / 025, Loss: 0.050611 * Train accuracy / confusion: 99.12% / [[357, 3, 1], [2, 262, 1], [0, 0, 174]], * Val accuracy / confusion: 55.77% / [[141, 52, 37], [60, 79, 36], [18, 27, 70]] ------------------------------ Epoch 1746 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.049231 - Iter 024 / 025, Loss: 0.002606 * Train accuracy / confusion: 99.12% / [[351, 3, 1], [1, 263, 2], [0, 0, 179]], * Val accuracy / confusion: 58.08% / [[163, 35, 32], [65, 77, 33], [19, 34, 62]] ------------------------------ Epoch 1747 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009742 - Iter 024 / 025, Loss: 0.001968 * Train accuracy / confusion: 99.00% / [[353, 1, 1], [3, 261, 1], [1, 1, 178]], * Val accuracy / confusion: 58.08% / [[156, 40, 34], [59, 80, 36], [23, 26, 66]] ------------------------------ Epoch 1748 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.055240 - Iter 024 / 025, Loss: 0.011569 * Train accuracy / confusion: 99.38% / [[358, 1, 0], [1, 261, 2], [0, 1, 176]], * Val accuracy / confusion: 56.15% / [[150, 44, 36], [57, 78, 40], [21, 30, 64]] ------------------------------ Epoch 1749 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001987 - Iter 024 / 025, Loss: 0.006050 * Train accuracy / confusion: 99.50% / [[351, 1, 0], [3, 269, 0], [0, 0, 176]], * Val accuracy / confusion: 54.81% / [[154, 50, 26], [72, 69, 34], [23, 30, 62]] ------------------------------ Epoch 1750 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003580 - Iter 024 / 025, Loss: 0.001231 * Train accuracy / confusion: 99.25% / [[354, 3, 1], [2, 265, 0], [0, 0, 175]], * Val accuracy / confusion: 53.85% / [[150, 44, 36], [71, 67, 37], [19, 33, 63]] ------------------------------ Epoch 1751 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002179 - Iter 024 / 025, Loss: 0.077738 * Train accuracy / confusion: 98.38% / [[353, 4, 1], [3, 265, 2], [2, 1, 169]], * Val accuracy / confusion: 57.50% / [[153, 42, 35], [59, 83, 33], [21, 31, 63]] ------------------------------ Epoch 1752 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006561 - Iter 024 / 025, Loss: 0.002455 * Train accuracy / confusion: 98.88% / [[355, 1, 1], [4, 265, 1], [0, 2, 171]], * Val accuracy / confusion: 54.23% / [[146, 52, 32], [69, 72, 34], [19, 32, 64]] ------------------------------ Epoch 1753 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001642 - Iter 024 / 025, Loss: 0.007058 * Train accuracy / confusion: 99.75% / [[353, 0, 0], [0, 268, 0], [1, 1, 177]], * Val accuracy / confusion: 55.19% / [[157, 51, 22], [76, 63, 36], [20, 28, 67]] ------------------------------ Epoch 1754 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003359 - Iter 024 / 025, Loss: 0.033931 * Train accuracy / confusion: 99.62% / [[349, 1, 0], [2, 269, 0], [0, 0, 179]], * Val accuracy / confusion: 55.38% / [[146, 40, 44], [62, 79, 34], [19, 33, 63]] ------------------------------ Epoch 1755 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004676 - Iter 024 / 025, Loss: 0.032719 * Train accuracy / confusion: 99.12% / [[353, 0, 0], [5, 264, 0], [0, 2, 176]], * Val accuracy / confusion: 57.12% / [[152, 45, 33], [63, 82, 30], [19, 33, 63]] ------------------------------ Epoch 1756 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.125907 - Iter 024 / 025, Loss: 0.004101 * Train accuracy / confusion: 99.00% / [[354, 1, 1], [3, 263, 1], [0, 2, 175]], * Val accuracy / confusion: 55.77% / [[146, 50, 34], [52, 80, 43], [18, 33, 64]] ------------------------------ Epoch 1757 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004904 - Iter 024 / 025, Loss: 0.014611 * Train accuracy / confusion: 99.38% / [[359, 0, 0], [3, 264, 1], [1, 0, 172]], * Val accuracy / confusion: 54.04% / [[150, 46, 34], [65, 74, 36], [23, 35, 57]] ------------------------------ Epoch 1758 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.081821 - Iter 024 / 025, Loss: 0.010966 * Train accuracy / confusion: 98.88% / [[357, 2, 1], [2, 263, 3], [0, 1, 171]], * Val accuracy / confusion: 55.00% / [[147, 40, 43], [62, 75, 38], [20, 31, 64]] ------------------------------ Epoch 1759 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.041383 - Iter 024 / 025, Loss: 0.001918 * Train accuracy / confusion: 99.25% / [[350, 2, 0], [3, 268, 1], [0, 0, 176]], * Val accuracy / confusion: 57.69% / [[154, 39, 37], [64, 82, 29], [22, 29, 64]] ------------------------------ Epoch 1760 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006087 - Iter 024 / 025, Loss: 0.003374 * Train accuracy / confusion: 99.50% / [[358, 2, 0], [2, 265, 0], [0, 0, 173]], * Val accuracy / confusion: 56.92% / [[161, 38, 31], [64, 73, 38], [22, 31, 62]] ------------------------------ Epoch 1761 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009252 - Iter 024 / 025, Loss: 0.105972 * Train accuracy / confusion: 98.50% / [[345, 4, 2], [3, 266, 1], [2, 0, 177]], * Val accuracy / confusion: 57.69% / [[154, 40, 36], [66, 77, 32], [23, 23, 69]] ------------------------------ Epoch 1762 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.052011 - Iter 024 / 025, Loss: 0.005773 * Train accuracy / confusion: 99.50% / [[354, 2, 1], [0, 269, 0], [0, 1, 173]], * Val accuracy / confusion: 54.42% / [[148, 55, 27], [65, 73, 37], [24, 29, 62]] ------------------------------ Epoch 1763 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001000 - Iter 024 / 025, Loss: 0.029390 * Train accuracy / confusion: 99.38% / [[355, 2, 0], [2, 266, 1], [0, 0, 174]], * Val accuracy / confusion: 57.69% / [[154, 39, 37], [61, 77, 37], [17, 29, 69]] ------------------------------ Epoch 1764 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.012224 - Iter 024 / 025, Loss: 0.002731 * Train accuracy / confusion: 99.25% / [[354, 2, 0], [1, 266, 2], [1, 0, 174]], * Val accuracy / confusion: 55.38% / [[153, 45, 32], [69, 71, 35], [19, 32, 64]] ------------------------------ Epoch 1765 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024866 - Iter 024 / 025, Loss: 0.003824 * Train accuracy / confusion: 99.62% / [[354, 1, 0], [0, 266, 1], [1, 0, 177]], * Val accuracy / confusion: 57.88% / [[156, 39, 35], [60, 75, 40], [19, 26, 70]] ------------------------------ Epoch 1766 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.033630 - Iter 024 / 025, Loss: 0.001812 * Train accuracy / confusion: 99.50% / [[350, 2, 0], [0, 268, 1], [1, 0, 178]], * Val accuracy / confusion: 57.50% / [[156, 44, 30], [61, 81, 33], [22, 31, 62]] ------------------------------ Epoch 1767 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006602 - Iter 024 / 025, Loss: 0.007563 * Train accuracy / confusion: 98.88% / [[356, 3, 0], [4, 263, 1], [0, 1, 172]], * Val accuracy / confusion: 55.00% / [[146, 56, 28], [56, 83, 36], [21, 37, 57]] ------------------------------ Epoch 1768 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001049 - Iter 024 / 025, Loss: 0.001367 * Train accuracy / confusion: 99.88% / [[357, 0, 1], [0, 271, 0], [0, 0, 171]], * Val accuracy / confusion: 54.42% / [[153, 50, 27], [66, 70, 39], [23, 32, 60]] ------------------------------ Epoch 1769 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.023145 - Iter 024 / 025, Loss: 0.001905 * Train accuracy / confusion: 99.12% / [[353, 1, 1], [4, 264, 0], [0, 1, 176]], * Val accuracy / confusion: 54.42% / [[146, 52, 32], [61, 75, 39], [20, 33, 62]] ------------------------------ Epoch 1770 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.144890 - Iter 024 / 025, Loss: 0.167141 * Train accuracy / confusion: 98.50% / [[354, 2, 1], [3, 264, 2], [1, 3, 170]], * Val accuracy / confusion: 54.81% / [[149, 46, 35], [64, 70, 41], [24, 25, 66]] ------------------------------ Epoch 1771 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.017083 - Iter 024 / 025, Loss: 0.031806 * Train accuracy / confusion: 99.62% / [[361, 1, 0], [1, 265, 0], [0, 1, 171]], * Val accuracy / confusion: 53.85% / [[156, 47, 27], [67, 64, 44], [24, 31, 60]] ------------------------------ Epoch 1772 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016755 - Iter 024 / 025, Loss: 0.001807 * Train accuracy / confusion: 99.62% / [[355, 0, 0], [2, 268, 0], [1, 0, 174]], * Val accuracy / confusion: 57.69% / [[155, 46, 29], [62, 77, 36], [17, 30, 68]] ------------------------------ Epoch 1773 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006625 - Iter 024 / 025, Loss: 0.003322 * Train accuracy / confusion: 99.12% / [[349, 2, 1], [2, 265, 1], [0, 1, 179]], * Val accuracy / confusion: 56.15% / [[157, 38, 35], [69, 73, 33], [23, 30, 62]] ------------------------------ Epoch 1774 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004778 - Iter 024 / 025, Loss: 0.029392 * Train accuracy / confusion: 99.50% / [[360, 1, 0], [1, 260, 0], [0, 2, 176]], * Val accuracy / confusion: 54.62% / [[150, 39, 41], [68, 73, 34], [22, 32, 61]] ------------------------------ Epoch 1775 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003739 - Iter 024 / 025, Loss: 0.004184 * Train accuracy / confusion: 99.62% / [[356, 1, 0], [0, 263, 1], [0, 1, 178]], * Val accuracy / confusion: 57.50% / [[155, 42, 33], [66, 80, 29], [24, 27, 64]] ------------------------------ Epoch 1776 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.016046 - Iter 024 / 025, Loss: 0.048257 * Train accuracy / confusion: 98.88% / [[352, 5, 1], [1, 266, 1], [0, 1, 173]], * Val accuracy / confusion: 54.62% / [[152, 45, 33], [65, 71, 39], [21, 33, 61]] ------------------------------ Epoch 1777 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.053088 - Iter 024 / 025, Loss: 0.055017 * Train accuracy / confusion: 99.25% / [[355, 1, 1], [2, 264, 1], [0, 1, 175]], * Val accuracy / confusion: 58.08% / [[156, 41, 33], [58, 78, 39], [15, 32, 68]] ------------------------------ Epoch 1778 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.006433 - Iter 024 / 025, Loss: 0.001731 * Train accuracy / confusion: 99.62% / [[358, 0, 0], [2, 266, 1], [0, 0, 173]], * Val accuracy / confusion: 56.92% / [[153, 44, 33], [63, 73, 39], [17, 28, 70]] ------------------------------ Epoch 1779 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002945 - Iter 024 / 025, Loss: 0.067220 * Train accuracy / confusion: 98.88% / [[354, 1, 0], [5, 262, 1], [2, 0, 175]], * Val accuracy / confusion: 54.81% / [[149, 44, 37], [65, 74, 36], [20, 33, 62]] ------------------------------ Epoch 1780 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001557 - Iter 024 / 025, Loss: 0.002001 * Train accuracy / confusion: 99.38% / [[357, 1, 1], [2, 264, 0], [1, 0, 174]], * Val accuracy / confusion: 54.04% / [[148, 47, 35], [67, 69, 39], [19, 32, 64]] ------------------------------ Epoch 1781 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001404 - Iter 024 / 025, Loss: 0.043331 * Train accuracy / confusion: 99.50% / [[355, 1, 1], [0, 270, 0], [2, 0, 171]], * Val accuracy / confusion: 56.35% / [[151, 44, 35], [66, 77, 32], [18, 32, 65]] ------------------------------ Epoch 1782 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.010002 - Iter 024 / 025, Loss: 0.024066 * Train accuracy / confusion: 99.50% / [[358, 2, 0], [1, 264, 0], [1, 0, 174]], * Val accuracy / confusion: 55.38% / [[151, 46, 33], [64, 72, 39], [21, 29, 65]] ------------------------------ Epoch 1783 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.003095 - Iter 024 / 025, Loss: 0.002938 * Train accuracy / confusion: 99.62% / [[355, 0, 1], [0, 269, 0], [1, 1, 173]], * Val accuracy / confusion: 55.38% / [[149, 54, 27], [63, 78, 34], [25, 29, 61]] ------------------------------ Epoch 1784 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000632 - Iter 024 / 025, Loss: 0.028101 * Train accuracy / confusion: 98.75% / [[353, 2, 0], [5, 267, 0], [1, 2, 170]], * Val accuracy / confusion: 55.96% / [[151, 46, 33], [57, 81, 37], [24, 32, 59]] ------------------------------ Epoch 1785 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.124453 - Iter 024 / 025, Loss: 0.032557 * Train accuracy / confusion: 98.88% / [[354, 3, 0], [1, 266, 1], [1, 3, 171]], * Val accuracy / confusion: 55.58% / [[150, 52, 28], [66, 75, 34], [17, 34, 64]] ------------------------------ Epoch 1786 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.009780 - Iter 024 / 025, Loss: 0.002598 * Train accuracy / confusion: 99.38% / [[351, 2, 0], [1, 268, 1], [0, 1, 176]], * Val accuracy / confusion: 54.81% / [[151, 37, 42], [64, 71, 40], [22, 30, 63]] ------------------------------ Epoch 1787 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.045334 - Iter 024 / 025, Loss: 0.090459 * Train accuracy / confusion: 99.50% / [[352, 3, 0], [0, 266, 1], [0, 0, 178]], * Val accuracy / confusion: 54.81% / [[150, 43, 37], [75, 71, 29], [21, 30, 64]] ------------------------------ Epoch 1788 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000445 - Iter 024 / 025, Loss: 0.011970 * Train accuracy / confusion: 99.50% / [[352, 2, 2], [0, 267, 0], [0, 0, 177]], * Val accuracy / confusion: 57.31% / [[151, 46, 33], [68, 79, 28], [24, 23, 68]] ------------------------------ Epoch 1789 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001951 - Iter 024 / 025, Loss: 0.103311 * Train accuracy / confusion: 99.25% / [[355, 1, 1], [2, 266, 0], [1, 1, 173]], * Val accuracy / confusion: 56.35% / [[149, 41, 40], [68, 77, 30], [20, 28, 67]] ------------------------------ Epoch 1790 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002220 - Iter 024 / 025, Loss: 0.003131 * Train accuracy / confusion: 99.75% / [[356, 1, 0], [1, 267, 0], [0, 0, 175]], * Val accuracy / confusion: 57.50% / [[160, 43, 27], [61, 79, 35], [18, 37, 60]] ------------------------------ Epoch 1791 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.008103 - Iter 024 / 025, Loss: 0.007195 * Train accuracy / confusion: 99.25% / [[357, 1, 0], [3, 261, 1], [0, 1, 176]], * Val accuracy / confusion: 55.77% / [[147, 52, 31], [65, 76, 34], [20, 28, 67]] ------------------------------ Epoch 1792 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.248029 - Iter 024 / 025, Loss: 0.012322 * Train accuracy / confusion: 99.25% / [[351, 2, 0], [4, 267, 0], [0, 0, 176]], * Val accuracy / confusion: 55.00% / [[150, 43, 37], [59, 79, 37], [22, 36, 57]] ------------------------------ Epoch 1793 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.000846 - Iter 024 / 025, Loss: 0.002460 * Train accuracy / confusion: 98.88% / [[350, 4, 1], [2, 268, 0], [1, 1, 173]], * Val accuracy / confusion: 57.50% / [[155, 39, 36], [60, 75, 40], [17, 29, 69]] ------------------------------ Epoch 1794 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001160 - Iter 024 / 025, Loss: 0.028796 * Train accuracy / confusion: 99.12% / [[352, 1, 0], [1, 265, 4], [1, 0, 176]], * Val accuracy / confusion: 54.23% / [[151, 48, 31], [66, 71, 38], [20, 35, 60]] ------------------------------ Epoch 1795 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001889 - Iter 024 / 025, Loss: 0.002364 * Train accuracy / confusion: 99.62% / [[356, 1, 0], [1, 265, 1], [0, 0, 176]], * Val accuracy / confusion: 53.27% / [[142, 49, 39], [63, 75, 37], [21, 34, 60]] ------------------------------ Epoch 1796 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.001713 - Iter 024 / 025, Loss: 0.000951 * Train accuracy / confusion: 99.25% / [[353, 0, 3], [1, 269, 0], [2, 0, 172]], * Val accuracy / confusion: 56.92% / [[162, 39, 29], [65, 75, 35], [20, 36, 59]] ------------------------------ Epoch 1797 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.005188 - Iter 024 / 025, Loss: 0.002088 * Train accuracy / confusion: 99.25% / [[356, 2, 0], [2, 266, 0], [1, 1, 172]], * Val accuracy / confusion: 55.96% / [[156, 44, 30], [65, 72, 38], [21, 31, 63]] ------------------------------ Epoch 1798 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.004183 - Iter 024 / 025, Loss: 0.011805 * Train accuracy / confusion: 99.12% / [[357, 0, 0], [2, 259, 4], [1, 0, 177]], * Val accuracy / confusion: 58.85% / [[160, 35, 35], [59, 78, 38], [21, 26, 68]] ------------------------------ Epoch 1799 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.002260 - Iter 024 / 025, Loss: 0.012870 * Train accuracy / confusion: 99.62% / [[353, 2, 0], [1, 271, 0], [0, 0, 173]], * Val accuracy / confusion: 55.00% / [[154, 39, 37], [67, 69, 39], [20, 32, 63]] ------------------------------ Epoch 1800 / 2000, Learning rate: 1.00e-05 ------------------------------ - Iter 012 / 025, Loss: 0.024829 - Iter 024 / 025, Loss: 0.010615 * Train accuracy / confusion: 99.38% / [[358, 2, 0], [2, 262, 1], [0, 0, 175]], * Val accuracy / confusion: 56.15% / [[151, 46, 33], [65, 75, 35], [17, 32, 66]] ------------------------------ Epoch 1801 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.024323 - Iter 024 / 025, Loss: 0.003678 * Train accuracy / confusion: 99.38% / [[356, 2, 0], [3, 260, 0], [0, 0, 179]], * Val accuracy / confusion: 57.88% / [[159, 37, 34], [63, 80, 32], [20, 33, 62]] ------------------------------ Epoch 1802 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.011968 - Iter 024 / 025, Loss: 0.042661 * Train accuracy / confusion: 99.00% / [[357, 4, 0], [3, 260, 1], [0, 0, 175]], * Val accuracy / confusion: 56.35% / [[155, 43, 32], [69, 76, 30], [16, 37, 62]] ------------------------------ Epoch 1803 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.000700 - Iter 024 / 025, Loss: 0.001827 * Train accuracy / confusion: 99.25% / [[354, 1, 0], [3, 265, 1], [0, 1, 175]], * Val accuracy / confusion: 53.08% / [[145, 52, 33], [72, 71, 32], [21, 34, 60]] ------------------------------ Epoch 1804 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.003891 - Iter 024 / 025, Loss: 0.025409 * Train accuracy / confusion: 99.25% / [[354, 1, 0], [2, 265, 0], [2, 1, 175]], * Val accuracy / confusion: 55.00% / [[149, 49, 32], [63, 76, 36], [22, 32, 61]] ------------------------------ Epoch 1805 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.007477 - Iter 024 / 025, Loss: 0.060275 * Train accuracy / confusion: 99.12% / [[353, 3, 0], [2, 266, 0], [0, 2, 174]], * Val accuracy / confusion: 55.38% / [[150, 49, 31], [61, 77, 37], [22, 32, 61]] ------------------------------ Epoch 1806 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.016792 - Iter 024 / 025, Loss: 0.002898 * Train accuracy / confusion: 99.38% / [[350, 2, 0], [2, 268, 1], [0, 0, 177]], * Val accuracy / confusion: 56.35% / [[160, 42, 28], [63, 74, 38], [22, 34, 59]] ------------------------------ Epoch 1807 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.041413 - Iter 024 / 025, Loss: 0.015202 * Train accuracy / confusion: 99.12% / [[354, 0, 1], [3, 264, 1], [1, 1, 175]], * Val accuracy / confusion: 55.58% / [[154, 47, 29], [68, 73, 34], [21, 32, 62]] ------------------------------ Epoch 1808 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.056708 - Iter 024 / 025, Loss: 0.000700 * Train accuracy / confusion: 99.25% / [[358, 1, 1], [3, 261, 0], [0, 1, 175]], * Val accuracy / confusion: 55.00% / [[153, 44, 33], [56, 73, 46], [22, 33, 60]] ------------------------------ Epoch 1809 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001533 - Iter 024 / 025, Loss: 0.001629 * Train accuracy / confusion: 98.62% / [[354, 6, 0], [3, 264, 1], [1, 0, 171]], * Val accuracy / confusion: 56.73% / [[155, 47, 28], [64, 75, 36], [23, 27, 65]] ------------------------------ Epoch 1810 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.003661 - Iter 024 / 025, Loss: 0.001384 * Train accuracy / confusion: 99.38% / [[357, 3, 0], [1, 264, 0], [0, 1, 174]], * Val accuracy / confusion: 56.73% / [[164, 34, 32], [66, 70, 39], [22, 32, 61]] ------------------------------ Epoch 1811 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.005842 - Iter 024 / 025, Loss: 0.014681 * Train accuracy / confusion: 99.38% / [[357, 1, 0], [3, 262, 0], [1, 0, 176]], * Val accuracy / confusion: 56.92% / [[155, 44, 31], [63, 78, 34], [29, 23, 63]] ------------------------------ Epoch 1812 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.003276 - Iter 024 / 025, Loss: 0.005379 * Train accuracy / confusion: 99.25% / [[351, 1, 1], [4, 266, 0], [0, 0, 177]], * Val accuracy / confusion: 55.77% / [[155, 50, 25], [64, 69, 42], [20, 29, 66]] ------------------------------ Epoch 1813 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.007863 - Iter 024 / 025, Loss: 0.011160 * Train accuracy / confusion: 99.00% / [[353, 4, 1], [2, 267, 0], [1, 0, 172]], * Val accuracy / confusion: 56.92% / [[158, 43, 29], [74, 74, 27], [21, 30, 64]] ------------------------------ Epoch 1814 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001247 - Iter 024 / 025, Loss: 0.026000 * Train accuracy / confusion: 99.75% / [[358, 1, 0], [1, 270, 0], [0, 0, 170]], * Val accuracy / confusion: 54.04% / [[148, 47, 35], [70, 72, 33], [23, 31, 61]] ------------------------------ Epoch 1815 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.031356 - Iter 024 / 025, Loss: 0.000902 * Train accuracy / confusion: 99.38% / [[358, 0, 1], [1, 264, 0], [1, 2, 173]], * Val accuracy / confusion: 52.88% / [[147, 53, 30], [69, 71, 35], [24, 34, 57]] ------------------------------ Epoch 1816 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.014800 - Iter 024 / 025, Loss: 0.007911 * Train accuracy / confusion: 99.25% / [[353, 0, 0], [4, 267, 0], [1, 1, 174]], * Val accuracy / confusion: 55.58% / [[158, 40, 32], [67, 72, 36], [22, 34, 59]] ------------------------------ Epoch 1817 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.053981 - Iter 024 / 025, Loss: 0.016513 * Train accuracy / confusion: 99.50% / [[356, 1, 1], [2, 263, 0], [0, 0, 177]], * Val accuracy / confusion: 57.69% / [[159, 39, 32], [60, 76, 39], [19, 31, 65]] ------------------------------ Epoch 1818 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.009856 - Iter 024 / 025, Loss: 0.015072 * Train accuracy / confusion: 98.75% / [[360, 3, 0], [2, 259, 2], [1, 2, 171]], * Val accuracy / confusion: 55.00% / [[148, 48, 34], [66, 75, 34], [20, 32, 63]] ------------------------------ Epoch 1819 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.040228 - Iter 024 / 025, Loss: 0.006454 * Train accuracy / confusion: 99.25% / [[354, 3, 0], [3, 266, 0], [0, 0, 174]], * Val accuracy / confusion: 55.19% / [[151, 48, 31], [65, 73, 37], [21, 31, 63]] ------------------------------ Epoch 1820 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.013707 - Iter 024 / 025, Loss: 0.004177 * Train accuracy / confusion: 99.50% / [[353, 1, 1], [1, 267, 0], [1, 0, 176]], * Val accuracy / confusion: 59.62% / [[160, 44, 26], [59, 87, 29], [20, 32, 63]] ------------------------------ Epoch 1821 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.021413 - Iter 024 / 025, Loss: 0.007650 * Train accuracy / confusion: 99.00% / [[354, 2, 1], [2, 265, 0], [1, 2, 173]], * Val accuracy / confusion: 56.15% / [[152, 45, 33], [62, 71, 42], [17, 29, 69]] ------------------------------ Epoch 1822 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.043868 - Iter 024 / 025, Loss: 0.010291 * Train accuracy / confusion: 99.12% / [[357, 0, 1], [2, 265, 2], [1, 1, 171]], * Val accuracy / confusion: 52.50% / [[145, 47, 38], [68, 71, 36], [23, 35, 57]] ------------------------------ Epoch 1823 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.096233 - Iter 024 / 025, Loss: 0.004869 * Train accuracy / confusion: 99.12% / [[349, 3, 1], [2, 266, 1], [0, 0, 178]], * Val accuracy / confusion: 55.58% / [[155, 43, 32], [66, 73, 36], [21, 33, 61]] ------------------------------ Epoch 1824 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.030895 - Iter 024 / 025, Loss: 0.023931 * Train accuracy / confusion: 99.00% / [[356, 1, 0], [1, 261, 4], [2, 0, 175]], * Val accuracy / confusion: 52.12% / [[144, 51, 35], [67, 71, 37], [22, 37, 56]] ------------------------------ Epoch 1825 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.002492 - Iter 024 / 025, Loss: 0.025386 * Train accuracy / confusion: 98.62% / [[351, 5, 0], [2, 266, 1], [2, 1, 172]], * Val accuracy / confusion: 53.85% / [[148, 47, 35], [65, 73, 37], [24, 32, 59]] ------------------------------ Epoch 1826 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.007580 - Iter 024 / 025, Loss: 0.009225 * Train accuracy / confusion: 99.50% / [[362, 0, 1], [1, 259, 1], [1, 0, 175]], * Val accuracy / confusion: 56.92% / [[158, 41, 31], [59, 78, 38], [23, 32, 60]] ------------------------------ Epoch 1827 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.000802 - Iter 024 / 025, Loss: 0.002689 * Train accuracy / confusion: 98.88% / [[354, 4, 0], [2, 263, 1], [0, 2, 174]], * Val accuracy / confusion: 55.96% / [[159, 42, 29], [68, 77, 30], [25, 35, 55]] ------------------------------ Epoch 1828 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.003555 - Iter 024 / 025, Loss: 0.000788 * Train accuracy / confusion: 99.38% / [[355, 1, 1], [1, 265, 1], [1, 0, 175]], * Val accuracy / confusion: 54.62% / [[146, 48, 36], [55, 80, 40], [18, 39, 58]] ------------------------------ Epoch 1829 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.027000 - Iter 024 / 025, Loss: 0.008255 * Train accuracy / confusion: 99.38% / [[360, 1, 0], [2, 260, 1], [1, 0, 175]], * Val accuracy / confusion: 57.88% / [[156, 48, 26], [62, 82, 31], [21, 31, 63]] ------------------------------ Epoch 1830 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.000932 - Iter 024 / 025, Loss: 0.016311 * Train accuracy / confusion: 99.12% / [[353, 3, 1], [2, 265, 1], [0, 0, 175]], * Val accuracy / confusion: 56.15% / [[150, 44, 36], [61, 72, 42], [18, 27, 70]] ------------------------------ Epoch 1831 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.033812 - Iter 024 / 025, Loss: 0.000962 * Train accuracy / confusion: 99.25% / [[358, 2, 0], [1, 263, 3], [0, 0, 173]], * Val accuracy / confusion: 56.54% / [[154, 48, 28], [60, 79, 36], [20, 34, 61]] ------------------------------ Epoch 1832 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.004961 - Iter 024 / 025, Loss: 0.001223 * Train accuracy / confusion: 99.50% / [[358, 1, 1], [1, 262, 0], [0, 1, 176]], * Val accuracy / confusion: 56.15% / [[154, 48, 28], [63, 78, 34], [25, 30, 60]] ------------------------------ Epoch 1833 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.027563 - Iter 024 / 025, Loss: 0.001817 * Train accuracy / confusion: 99.38% / [[355, 2, 0], [3, 267, 0], [0, 0, 173]], * Val accuracy / confusion: 56.73% / [[154, 44, 32], [58, 81, 36], [23, 32, 60]] ------------------------------ Epoch 1834 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.011210 - Iter 024 / 025, Loss: 0.011495 * Train accuracy / confusion: 98.50% / [[351, 4, 0], [4, 264, 0], [2, 2, 173]], * Val accuracy / confusion: 55.77% / [[151, 42, 37], [59, 81, 35], [27, 30, 58]] ------------------------------ Epoch 1835 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.002555 - Iter 024 / 025, Loss: 0.015091 * Train accuracy / confusion: 99.50% / [[359, 1, 2], [1, 265, 0], [0, 0, 172]], * Val accuracy / confusion: 56.73% / [[153, 42, 35], [65, 75, 35], [19, 29, 67]] ------------------------------ Epoch 1836 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.021439 - Iter 024 / 025, Loss: 0.062031 * Train accuracy / confusion: 99.38% / [[355, 2, 0], [2, 263, 0], [0, 1, 177]], * Val accuracy / confusion: 57.12% / [[154, 41, 35], [59, 77, 39], [19, 30, 66]] ------------------------------ Epoch 1837 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001862 - Iter 024 / 025, Loss: 0.004392 * Train accuracy / confusion: 99.75% / [[356, 1, 0], [0, 268, 0], [0, 1, 174]], * Val accuracy / confusion: 56.35% / [[150, 48, 32], [63, 75, 37], [19, 28, 68]] ------------------------------ Epoch 1838 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.008659 - Iter 024 / 025, Loss: 0.001328 * Train accuracy / confusion: 99.25% / [[353, 1, 0], [1, 270, 0], [0, 4, 171]], * Val accuracy / confusion: 58.08% / [[159, 41, 30], [59, 82, 34], [23, 31, 61]] ------------------------------ Epoch 1839 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.081533 - Iter 024 / 025, Loss: 0.008430 * Train accuracy / confusion: 99.25% / [[355, 0, 0], [3, 266, 1], [2, 0, 173]], * Val accuracy / confusion: 54.81% / [[158, 39, 33], [75, 65, 35], [23, 30, 62]] ------------------------------ Epoch 1840 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.002299 - Iter 024 / 025, Loss: 0.007655 * Train accuracy / confusion: 99.50% / [[356, 2, 0], [1, 265, 0], [1, 0, 175]], * Val accuracy / confusion: 53.65% / [[155, 42, 33], [73, 67, 35], [22, 36, 57]] ------------------------------ Epoch 1841 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.017656 - Iter 024 / 025, Loss: 0.085558 * Train accuracy / confusion: 99.38% / [[356, 1, 1], [2, 262, 1], [0, 0, 177]], * Val accuracy / confusion: 55.38% / [[156, 48, 26], [64, 73, 38], [22, 34, 59]] ------------------------------ Epoch 1842 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.000582 - Iter 024 / 025, Loss: 0.010839 * Train accuracy / confusion: 99.50% / [[358, 1, 0], [0, 263, 1], [1, 1, 175]], * Val accuracy / confusion: 54.04% / [[143, 59, 28], [60, 76, 39], [21, 32, 62]] ------------------------------ Epoch 1843 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.016635 - Iter 024 / 025, Loss: 0.006049 * Train accuracy / confusion: 99.50% / [[357, 2, 0], [2, 261, 0], [0, 0, 178]], * Val accuracy / confusion: 53.85% / [[148, 44, 38], [64, 69, 42], [19, 33, 63]] ------------------------------ Epoch 1844 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.120669 - Iter 024 / 025, Loss: 0.009607 * Train accuracy / confusion: 99.38% / [[354, 2, 0], [1, 267, 2], [0, 0, 174]], * Val accuracy / confusion: 56.54% / [[151, 48, 31], [60, 85, 30], [25, 32, 58]] ------------------------------ Epoch 1845 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001067 - Iter 024 / 025, Loss: 0.007087 * Train accuracy / confusion: 99.12% / [[356, 2, 1], [1, 267, 0], [2, 1, 170]], * Val accuracy / confusion: 56.92% / [[159, 42, 29], [73, 71, 31], [21, 28, 66]] ------------------------------ Epoch 1846 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.005401 - Iter 024 / 025, Loss: 0.122104 * Train accuracy / confusion: 99.88% / [[354, 1, 0], [0, 268, 0], [0, 0, 177]], * Val accuracy / confusion: 54.04% / [[147, 50, 33], [64, 74, 37], [17, 38, 60]] ------------------------------ Epoch 1847 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.007770 - Iter 024 / 025, Loss: 0.002092 * Train accuracy / confusion: 99.25% / [[357, 1, 0], [4, 264, 0], [0, 1, 173]], * Val accuracy / confusion: 55.77% / [[164, 36, 30], [74, 70, 31], [25, 34, 56]] ------------------------------ Epoch 1848 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.023793 - Iter 024 / 025, Loss: 0.001138 * Train accuracy / confusion: 99.25% / [[352, 0, 0], [4, 264, 0], [0, 2, 178]], * Val accuracy / confusion: 56.73% / [[156, 44, 30], [70, 74, 31], [21, 29, 65]] ------------------------------ Epoch 1849 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001058 - Iter 024 / 025, Loss: 0.010751 * Train accuracy / confusion: 99.62% / [[357, 1, 0], [1, 267, 0], [0, 1, 173]], * Val accuracy / confusion: 56.92% / [[150, 55, 25], [56, 80, 39], [17, 32, 66]] ------------------------------ Epoch 1850 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.020266 - Iter 024 / 025, Loss: 0.035540 * Train accuracy / confusion: 99.25% / [[354, 2, 1], [0, 268, 0], [1, 2, 172]], * Val accuracy / confusion: 54.23% / [[149, 45, 36], [62, 70, 43], [24, 28, 63]] ------------------------------ Epoch 1851 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.003701 - Iter 024 / 025, Loss: 0.003032 * Train accuracy / confusion: 99.50% / [[355, 0, 0], [2, 267, 1], [1, 0, 174]], * Val accuracy / confusion: 57.69% / [[154, 47, 29], [61, 81, 33], [20, 30, 65]] ------------------------------ Epoch 1852 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.033007 - Iter 024 / 025, Loss: 0.015947 * Train accuracy / confusion: 98.88% / [[350, 3, 0], [3, 263, 2], [0, 1, 178]], * Val accuracy / confusion: 53.85% / [[148, 52, 30], [66, 71, 38], [27, 27, 61]] ------------------------------ Epoch 1853 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.064386 - Iter 024 / 025, Loss: 0.001576 * Train accuracy / confusion: 98.88% / [[354, 2, 1], [2, 264, 1], [1, 2, 173]], * Val accuracy / confusion: 55.19% / [[155, 41, 34], [70, 68, 37], [20, 31, 64]] ------------------------------ Epoch 1854 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001599 - Iter 024 / 025, Loss: 0.040542 * Train accuracy / confusion: 99.75% / [[354, 0, 0], [1, 268, 1], [0, 0, 176]], * Val accuracy / confusion: 57.12% / [[153, 51, 26], [63, 80, 32], [16, 35, 64]] ------------------------------ Epoch 1855 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.032291 - Iter 024 / 025, Loss: 0.015306 * Train accuracy / confusion: 99.75% / [[356, 1, 0], [1, 266, 0], [0, 0, 176]], * Val accuracy / confusion: 57.12% / [[153, 45, 32], [62, 82, 31], [23, 30, 62]] ------------------------------ Epoch 1856 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.003724 - Iter 024 / 025, Loss: 0.005556 * Train accuracy / confusion: 99.50% / [[355, 2, 0], [1, 266, 0], [0, 1, 175]], * Val accuracy / confusion: 54.62% / [[155, 46, 29], [72, 71, 32], [21, 36, 58]] ------------------------------ Epoch 1857 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.122546 - Iter 024 / 025, Loss: 0.001101 * Train accuracy / confusion: 99.25% / [[353, 3, 1], [2, 266, 0], [0, 0, 175]], * Val accuracy / confusion: 57.69% / [[157, 44, 29], [70, 78, 27], [16, 34, 65]] ------------------------------ Epoch 1858 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.024570 - Iter 024 / 025, Loss: 0.195125 * Train accuracy / confusion: 99.12% / [[355, 2, 0], [3, 263, 0], [1, 1, 175]], * Val accuracy / confusion: 56.92% / [[155, 49, 26], [61, 76, 38], [21, 29, 65]] ------------------------------ Epoch 1859 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001830 - Iter 024 / 025, Loss: 0.012968 * Train accuracy / confusion: 99.00% / [[352, 1, 0], [4, 265, 0], [0, 3, 175]], * Val accuracy / confusion: 57.50% / [[149, 48, 33], [63, 82, 30], [20, 27, 68]] ------------------------------ Epoch 1860 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.005676 - Iter 024 / 025, Loss: 0.025300 * Train accuracy / confusion: 99.38% / [[358, 0, 0], [3, 264, 1], [1, 0, 173]], * Val accuracy / confusion: 54.81% / [[155, 44, 31], [72, 67, 36], [19, 33, 63]] ------------------------------ Epoch 1861 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.002605 - Iter 024 / 025, Loss: 0.007368 * Train accuracy / confusion: 99.25% / [[357, 3, 0], [1, 264, 0], [1, 1, 173]], * Val accuracy / confusion: 59.04% / [[163, 42, 25], [51, 86, 38], [21, 36, 58]] ------------------------------ Epoch 1862 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.000713 - Iter 024 / 025, Loss: 0.024654 * Train accuracy / confusion: 99.12% / [[355, 2, 0], [2, 266, 0], [2, 1, 172]], * Val accuracy / confusion: 56.92% / [[159, 43, 28], [68, 73, 34], [18, 33, 64]] ------------------------------ Epoch 1863 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.074555 - Iter 024 / 025, Loss: 0.031728 * Train accuracy / confusion: 98.88% / [[351, 5, 0], [3, 261, 0], [0, 1, 179]], * Val accuracy / confusion: 55.00% / [[149, 48, 33], [66, 78, 31], [26, 30, 59]] ------------------------------ Epoch 1864 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001479 - Iter 024 / 025, Loss: 0.000909 * Train accuracy / confusion: 99.62% / [[351, 3, 0], [0, 270, 0], [0, 0, 176]], * Val accuracy / confusion: 56.73% / [[158, 42, 30], [67, 77, 31], [19, 36, 60]] ------------------------------ Epoch 1865 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.025162 - Iter 024 / 025, Loss: 0.000882 * Train accuracy / confusion: 98.75% / [[349, 3, 0], [5, 267, 0], [0, 2, 174]], * Val accuracy / confusion: 55.38% / [[150, 49, 31], [71, 72, 32], [19, 30, 66]] ------------------------------ Epoch 1866 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.004130 - Iter 024 / 025, Loss: 0.064804 * Train accuracy / confusion: 98.75% / [[354, 4, 0], [2, 263, 1], [3, 0, 173]], * Val accuracy / confusion: 57.88% / [[155, 47, 28], [60, 75, 40], [18, 26, 71]] ------------------------------ Epoch 1867 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.029003 - Iter 024 / 025, Loss: 0.000968 * Train accuracy / confusion: 99.50% / [[354, 1, 1], [2, 263, 0], [0, 0, 179]], * Val accuracy / confusion: 53.65% / [[154, 46, 30], [69, 64, 42], [22, 32, 61]] ------------------------------ Epoch 1868 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001894 - Iter 024 / 025, Loss: 0.027885 * Train accuracy / confusion: 99.62% / [[351, 0, 1], [1, 269, 0], [0, 1, 177]], * Val accuracy / confusion: 56.73% / [[161, 36, 33], [67, 74, 34], [17, 38, 60]] ------------------------------ Epoch 1869 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.000607 - Iter 024 / 025, Loss: 0.012305 * Train accuracy / confusion: 99.75% / [[354, 1, 0], [1, 268, 0], [0, 0, 176]], * Val accuracy / confusion: 55.96% / [[156, 46, 28], [67, 74, 34], [22, 32, 61]] ------------------------------ Epoch 1870 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.013788 - Iter 024 / 025, Loss: 0.021841 * Train accuracy / confusion: 99.25% / [[356, 3, 0], [2, 262, 1], [0, 0, 176]], * Val accuracy / confusion: 56.35% / [[157, 43, 30], [54, 73, 48], [23, 29, 63]] ------------------------------ Epoch 1871 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.000374 - Iter 024 / 025, Loss: 0.027106 * Train accuracy / confusion: 99.00% / [[357, 2, 0], [2, 263, 2], [2, 0, 172]], * Val accuracy / confusion: 56.54% / [[159, 43, 28], [60, 74, 41], [24, 30, 61]] ------------------------------ Epoch 1872 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.031211 - Iter 024 / 025, Loss: 0.001786 * Train accuracy / confusion: 99.38% / [[352, 1, 0], [1, 268, 1], [1, 1, 175]], * Val accuracy / confusion: 56.92% / [[151, 48, 31], [55, 82, 38], [17, 35, 63]] ------------------------------ Epoch 1873 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.002782 - Iter 024 / 025, Loss: 0.045284 * Train accuracy / confusion: 99.25% / [[352, 4, 0], [2, 267, 0], [0, 0, 175]], * Val accuracy / confusion: 56.73% / [[150, 46, 34], [58, 81, 36], [23, 28, 64]] ------------------------------ Epoch 1874 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001766 - Iter 024 / 025, Loss: 0.028133 * Train accuracy / confusion: 99.00% / [[350, 3, 0], [3, 267, 1], [0, 1, 175]], * Val accuracy / confusion: 55.96% / [[157, 43, 30], [65, 72, 38], [20, 33, 62]] ------------------------------ Epoch 1875 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.033162 - Iter 024 / 025, Loss: 0.000424 * Train accuracy / confusion: 99.50% / [[354, 0, 0], [1, 269, 1], [1, 1, 173]], * Val accuracy / confusion: 53.85% / [[150, 54, 26], [64, 73, 38], [23, 35, 57]] ------------------------------ Epoch 1876 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001772 - Iter 024 / 025, Loss: 0.000510 * Train accuracy / confusion: 99.38% / [[356, 1, 0], [4, 263, 0], [0, 0, 176]], * Val accuracy / confusion: 56.73% / [[148, 46, 36], [58, 81, 36], [16, 33, 66]] ------------------------------ Epoch 1877 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.011513 - Iter 024 / 025, Loss: 0.004136 * Train accuracy / confusion: 99.00% / [[352, 0, 2], [4, 263, 2], [0, 0, 177]], * Val accuracy / confusion: 57.31% / [[159, 37, 34], [60, 81, 34], [21, 36, 58]] ------------------------------ Epoch 1878 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.011840 - Iter 024 / 025, Loss: 0.002170 * Train accuracy / confusion: 99.25% / [[355, 3, 0], [3, 265, 0], [0, 0, 174]], * Val accuracy / confusion: 55.00% / [[148, 52, 30], [69, 74, 32], [20, 31, 64]] ------------------------------ Epoch 1879 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.004251 - Iter 024 / 025, Loss: 0.100194 * Train accuracy / confusion: 99.12% / [[352, 1, 3], [2, 268, 0], [1, 0, 173]], * Val accuracy / confusion: 52.31% / [[147, 48, 35], [70, 64, 41], [22, 32, 61]] ------------------------------ Epoch 1880 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.056010 - Iter 024 / 025, Loss: 0.066624 * Train accuracy / confusion: 99.25% / [[353, 2, 1], [1, 271, 1], [1, 0, 170]], * Val accuracy / confusion: 58.08% / [[152, 47, 31], [54, 78, 43], [20, 23, 72]] ------------------------------ Epoch 1881 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001390 - Iter 024 / 025, Loss: 0.053365 * Train accuracy / confusion: 99.50% / [[359, 0, 0], [1, 261, 2], [0, 1, 176]], * Val accuracy / confusion: 55.96% / [[149, 46, 35], [69, 74, 32], [19, 28, 68]] ------------------------------ Epoch 1882 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.013770 - Iter 024 / 025, Loss: 0.010171 * Train accuracy / confusion: 99.75% / [[357, 1, 0], [1, 266, 0], [0, 0, 175]], * Val accuracy / confusion: 54.81% / [[153, 44, 33], [62, 70, 43], [24, 29, 62]] ------------------------------ Epoch 1883 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.011372 - Iter 024 / 025, Loss: 0.108726 * Train accuracy / confusion: 99.25% / [[349, 2, 0], [3, 267, 0], [0, 1, 178]], * Val accuracy / confusion: 55.58% / [[154, 44, 32], [70, 72, 33], [21, 31, 63]] ------------------------------ Epoch 1884 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.029311 - Iter 024 / 025, Loss: 0.038250 * Train accuracy / confusion: 99.38% / [[357, 2, 0], [1, 267, 1], [1, 0, 171]], * Val accuracy / confusion: 55.00% / [[152, 48, 30], [63, 75, 37], [22, 34, 59]] ------------------------------ Epoch 1885 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.000393 - Iter 024 / 025, Loss: 0.019868 * Train accuracy / confusion: 99.62% / [[359, 0, 0], [1, 267, 1], [0, 1, 171]], * Val accuracy / confusion: 55.96% / [[155, 40, 35], [70, 72, 33], [24, 27, 64]] ------------------------------ Epoch 1886 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.156816 - Iter 024 / 025, Loss: 0.005851 * Train accuracy / confusion: 99.25% / [[357, 0, 2], [2, 261, 0], [0, 2, 176]], * Val accuracy / confusion: 59.42% / [[157, 43, 30], [62, 83, 30], [20, 26, 69]] ------------------------------ Epoch 1887 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.012747 - Iter 024 / 025, Loss: 0.022633 * Train accuracy / confusion: 99.38% / [[358, 2, 0], [2, 265, 1], [0, 0, 172]], * Val accuracy / confusion: 58.85% / [[161, 41, 28], [61, 79, 35], [22, 27, 66]] ------------------------------ Epoch 1888 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.000391 - Iter 024 / 025, Loss: 0.085041 * Train accuracy / confusion: 99.50% / [[357, 1, 1], [2, 267, 0], [0, 0, 172]], * Val accuracy / confusion: 57.88% / [[159, 38, 33], [60, 77, 38], [22, 28, 65]] ------------------------------ Epoch 1889 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.002761 - Iter 024 / 025, Loss: 0.011383 * Train accuracy / confusion: 99.38% / [[355, 0, 0], [2, 269, 0], [3, 0, 171]], * Val accuracy / confusion: 57.88% / [[154, 48, 28], [53, 85, 37], [20, 33, 62]] ------------------------------ Epoch 1890 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.000479 - Iter 024 / 025, Loss: 0.072667 * Train accuracy / confusion: 99.25% / [[355, 2, 0], [2, 263, 1], [1, 0, 176]], * Val accuracy / confusion: 56.92% / [[147, 46, 37], [54, 85, 36], [19, 32, 64]] ------------------------------ Epoch 1891 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.065977 - Iter 024 / 025, Loss: 0.008765 * Train accuracy / confusion: 98.75% / [[355, 3, 1], [2, 262, 0], [2, 2, 173]], * Val accuracy / confusion: 53.27% / [[147, 52, 31], [71, 70, 34], [23, 32, 60]] ------------------------------ Epoch 1892 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.005250 - Iter 024 / 025, Loss: 0.005055 * Train accuracy / confusion: 99.12% / [[354, 0, 1], [4, 262, 1], [0, 1, 177]], * Val accuracy / confusion: 56.92% / [[157, 43, 30], [65, 77, 33], [18, 35, 62]] ------------------------------ Epoch 1893 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.003868 - Iter 024 / 025, Loss: 0.000912 * Train accuracy / confusion: 99.75% / [[357, 1, 0], [1, 266, 0], [0, 0, 175]], * Val accuracy / confusion: 54.23% / [[143, 46, 41], [69, 76, 30], [19, 33, 63]] ------------------------------ Epoch 1894 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.000966 - Iter 024 / 025, Loss: 0.010112 * Train accuracy / confusion: 98.88% / [[349, 3, 1], [1, 266, 3], [0, 1, 176]], * Val accuracy / confusion: 54.04% / [[145, 53, 32], [64, 76, 35], [20, 35, 60]] ------------------------------ Epoch 1895 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.017371 - Iter 024 / 025, Loss: 0.003457 * Train accuracy / confusion: 99.62% / [[356, 1, 0], [1, 268, 1], [0, 0, 173]], * Val accuracy / confusion: 57.50% / [[156, 40, 34], [71, 75, 29], [18, 29, 68]] ------------------------------ Epoch 1896 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001067 - Iter 024 / 025, Loss: 0.017883 * Train accuracy / confusion: 99.25% / [[352, 4, 1], [1, 266, 0], [0, 0, 176]], * Val accuracy / confusion: 51.92% / [[148, 42, 40], [73, 66, 36], [22, 37, 56]] ------------------------------ Epoch 1897 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.049002 - Iter 024 / 025, Loss: 0.010092 * Train accuracy / confusion: 98.88% / [[355, 3, 1], [5, 259, 0], [0, 0, 177]], * Val accuracy / confusion: 55.38% / [[151, 44, 35], [68, 75, 32], [20, 33, 62]] ------------------------------ Epoch 1898 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.111429 - Iter 024 / 025, Loss: 0.002009 * Train accuracy / confusion: 99.62% / [[357, 0, 1], [0, 268, 0], [0, 2, 172]], * Val accuracy / confusion: 53.46% / [[144, 52, 34], [63, 74, 38], [21, 34, 60]] ------------------------------ Epoch 1899 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.012798 - Iter 024 / 025, Loss: 0.045564 * Train accuracy / confusion: 99.62% / [[358, 0, 0], [2, 267, 0], [0, 1, 172]], * Val accuracy / confusion: 56.35% / [[156, 40, 34], [68, 71, 36], [19, 30, 66]] ------------------------------ Epoch 1900 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001665 - Iter 024 / 025, Loss: 0.001196 * Train accuracy / confusion: 99.50% / [[354, 1, 0], [1, 271, 1], [1, 0, 171]], * Val accuracy / confusion: 56.35% / [[155, 45, 30], [60, 77, 38], [21, 33, 61]] ------------------------------ Epoch 1901 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.011439 - Iter 024 / 025, Loss: 0.011097 * Train accuracy / confusion: 99.38% / [[358, 1, 1], [1, 265, 0], [1, 1, 172]], * Val accuracy / confusion: 56.54% / [[158, 44, 28], [68, 70, 37], [21, 28, 66]] ------------------------------ Epoch 1902 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.005339 - Iter 024 / 025, Loss: 0.026361 * Train accuracy / confusion: 99.38% / [[350, 1, 0], [2, 268, 1], [0, 1, 177]], * Val accuracy / confusion: 55.58% / [[161, 46, 23], [75, 70, 30], [28, 29, 58]] ------------------------------ Epoch 1903 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001204 - Iter 024 / 025, Loss: 0.002251 * Train accuracy / confusion: 99.62% / [[358, 0, 0], [3, 264, 0], [0, 0, 175]], * Val accuracy / confusion: 55.38% / [[147, 49, 34], [57, 75, 43], [24, 25, 66]] ------------------------------ Epoch 1904 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.018324 - Iter 024 / 025, Loss: 0.002757 * Train accuracy / confusion: 99.62% / [[353, 0, 0], [0, 265, 2], [1, 0, 179]], * Val accuracy / confusion: 57.31% / [[155, 38, 37], [65, 78, 32], [19, 31, 65]] ------------------------------ Epoch 1905 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.000937 - Iter 024 / 025, Loss: 0.016784 * Train accuracy / confusion: 99.00% / [[350, 3, 0], [3, 267, 2], [0, 0, 175]], * Val accuracy / confusion: 55.00% / [[149, 48, 33], [71, 70, 34], [22, 26, 67]] ------------------------------ Epoch 1906 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001307 - Iter 024 / 025, Loss: 0.004394 * Train accuracy / confusion: 98.50% / [[347, 5, 0], [3, 265, 2], [1, 1, 176]], * Val accuracy / confusion: 54.04% / [[154, 44, 32], [70, 68, 37], [22, 34, 59]] ------------------------------ Epoch 1907 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.013641 - Iter 024 / 025, Loss: 0.001957 * Train accuracy / confusion: 99.25% / [[357, 3, 0], [2, 262, 1], [0, 0, 175]], * Val accuracy / confusion: 55.19% / [[151, 46, 33], [60, 75, 40], [20, 34, 61]] ------------------------------ Epoch 1908 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.004945 - Iter 024 / 025, Loss: 0.000609 * Train accuracy / confusion: 99.25% / [[356, 2, 0], [3, 258, 1], [0, 0, 180]], * Val accuracy / confusion: 55.58% / [[157, 50, 23], [68, 73, 34], [22, 34, 59]] ------------------------------ Epoch 1909 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.017080 - Iter 024 / 025, Loss: 0.031261 * Train accuracy / confusion: 99.62% / [[360, 0, 0], [2, 268, 0], [1, 0, 169]], * Val accuracy / confusion: 55.58% / [[149, 50, 31], [63, 79, 33], [19, 35, 61]] ------------------------------ Epoch 1910 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.043634 - Iter 024 / 025, Loss: 0.029337 * Train accuracy / confusion: 99.00% / [[348, 2, 3], [2, 268, 0], [1, 0, 176]], * Val accuracy / confusion: 59.23% / [[164, 39, 27], [63, 81, 31], [22, 30, 63]] ------------------------------ Epoch 1911 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.028054 - Iter 024 / 025, Loss: 0.020045 * Train accuracy / confusion: 99.25% / [[353, 4, 0], [0, 265, 1], [1, 0, 176]], * Val accuracy / confusion: 56.15% / [[160, 35, 35], [70, 68, 37], [22, 29, 64]] ------------------------------ Epoch 1912 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.013388 - Iter 024 / 025, Loss: 0.010983 * Train accuracy / confusion: 99.75% / [[351, 1, 0], [1, 268, 0], [0, 0, 179]], * Val accuracy / confusion: 54.04% / [[148, 49, 33], [68, 72, 35], [20, 34, 61]] ------------------------------ Epoch 1913 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.000548 - Iter 024 / 025, Loss: 0.040216 * Train accuracy / confusion: 99.00% / [[348, 3, 0], [3, 268, 0], [0, 2, 176]], * Val accuracy / confusion: 54.42% / [[159, 44, 27], [75, 62, 38], [23, 30, 62]] ------------------------------ Epoch 1914 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001653 - Iter 024 / 025, Loss: 0.039103 * Train accuracy / confusion: 99.25% / [[355, 2, 0], [1, 268, 1], [1, 1, 171]], * Val accuracy / confusion: 57.12% / [[163, 42, 25], [63, 77, 35], [21, 37, 57]] ------------------------------ Epoch 1915 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.014095 - Iter 024 / 025, Loss: 0.001599 * Train accuracy / confusion: 99.50% / [[360, 0, 1], [2, 264, 0], [1, 0, 172]], * Val accuracy / confusion: 57.50% / [[151, 50, 29], [61, 79, 35], [21, 25, 69]] ------------------------------ Epoch 1916 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.038213 - Iter 024 / 025, Loss: 0.013192 * Train accuracy / confusion: 99.62% / [[355, 2, 0], [1, 270, 0], [0, 0, 172]], * Val accuracy / confusion: 55.77% / [[154, 49, 27], [62, 75, 38], [21, 33, 61]] ------------------------------ Epoch 1917 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.004342 - Iter 024 / 025, Loss: 0.026872 * Train accuracy / confusion: 99.62% / [[354, 2, 0], [0, 267, 0], [0, 1, 176]], * Val accuracy / confusion: 58.08% / [[158, 39, 33], [68, 72, 35], [21, 22, 72]] ------------------------------ Epoch 1918 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.139505 - Iter 024 / 025, Loss: 0.007182 * Train accuracy / confusion: 99.25% / [[350, 4, 0], [1, 264, 1], [0, 0, 180]], * Val accuracy / confusion: 52.88% / [[146, 56, 28], [67, 67, 41], [21, 32, 62]] ------------------------------ Epoch 1919 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.070095 - Iter 024 / 025, Loss: 0.004550 * Train accuracy / confusion: 99.25% / [[356, 3, 0], [2, 266, 0], [1, 0, 172]], * Val accuracy / confusion: 56.54% / [[158, 44, 28], [59, 78, 38], [18, 39, 58]] ------------------------------ Epoch 1920 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.082894 - Iter 024 / 025, Loss: 0.083145 * Train accuracy / confusion: 99.38% / [[353, 0, 1], [2, 268, 0], [0, 2, 174]], * Val accuracy / confusion: 54.81% / [[154, 43, 33], [63, 72, 40], [20, 36, 59]] ------------------------------ Epoch 1921 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.034412 - Iter 024 / 025, Loss: 0.007378 * Train accuracy / confusion: 99.00% / [[357, 0, 0], [4, 261, 2], [0, 2, 174]], * Val accuracy / confusion: 57.31% / [[156, 41, 33], [61, 77, 37], [16, 34, 65]] ------------------------------ Epoch 1922 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.014356 - Iter 024 / 025, Loss: 0.007353 * Train accuracy / confusion: 98.75% / [[355, 2, 1], [2, 263, 1], [4, 0, 172]], * Val accuracy / confusion: 53.46% / [[151, 43, 36], [65, 69, 41], [22, 35, 58]] ------------------------------ Epoch 1923 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.010020 - Iter 024 / 025, Loss: 0.002397 * Train accuracy / confusion: 99.12% / [[353, 3, 1], [1, 267, 1], [1, 0, 173]], * Val accuracy / confusion: 56.15% / [[158, 41, 31], [66, 69, 40], [22, 28, 65]] ------------------------------ Epoch 1924 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.087666 - Iter 024 / 025, Loss: 0.099330 * Train accuracy / confusion: 98.75% / [[351, 5, 0], [2, 260, 2], [0, 1, 179]], * Val accuracy / confusion: 56.73% / [[156, 42, 32], [62, 73, 40], [22, 27, 66]] ------------------------------ Epoch 1925 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.002770 - Iter 024 / 025, Loss: 0.001508 * Train accuracy / confusion: 99.12% / [[355, 3, 0], [3, 264, 0], [1, 0, 174]], * Val accuracy / confusion: 57.50% / [[164, 38, 28], [63, 72, 40], [20, 32, 63]] ------------------------------ Epoch 1926 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.000775 - Iter 024 / 025, Loss: 0.008152 * Train accuracy / confusion: 99.50% / [[357, 1, 0], [1, 265, 0], [0, 2, 174]], * Val accuracy / confusion: 58.27% / [[166, 39, 25], [69, 73, 33], [21, 30, 64]] ------------------------------ Epoch 1927 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.046707 - Iter 024 / 025, Loss: 0.006811 * Train accuracy / confusion: 99.25% / [[346, 2, 1], [3, 269, 0], [0, 0, 179]], * Val accuracy / confusion: 57.69% / [[160, 41, 29], [66, 71, 38], [19, 27, 69]] ------------------------------ Epoch 1928 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.002595 - Iter 024 / 025, Loss: 0.095820 * Train accuracy / confusion: 99.25% / [[355, 2, 0], [4, 260, 0], [0, 0, 179]], * Val accuracy / confusion: 58.46% / [[162, 41, 27], [64, 75, 36], [20, 28, 67]] ------------------------------ Epoch 1929 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.003778 - Iter 024 / 025, Loss: 0.042756 * Train accuracy / confusion: 99.62% / [[355, 2, 0], [1, 265, 0], [0, 0, 177]], * Val accuracy / confusion: 57.50% / [[152, 46, 32], [54, 84, 37], [15, 37, 63]] ------------------------------ Epoch 1930 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.105077 - Iter 024 / 025, Loss: 0.101569 * Train accuracy / confusion: 98.62% / [[354, 4, 2], [2, 264, 1], [0, 2, 171]], * Val accuracy / confusion: 54.62% / [[157, 41, 32], [72, 66, 37], [22, 32, 61]] ------------------------------ Epoch 1931 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.047401 - Iter 024 / 025, Loss: 0.008145 * Train accuracy / confusion: 99.38% / [[351, 1, 1], [2, 268, 1], [0, 0, 176]], * Val accuracy / confusion: 57.50% / [[160, 39, 31], [64, 76, 35], [20, 32, 63]] ------------------------------ Epoch 1932 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.002722 - Iter 024 / 025, Loss: 0.059342 * Train accuracy / confusion: 98.62% / [[356, 4, 0], [3, 262, 2], [0, 2, 171]], * Val accuracy / confusion: 56.35% / [[158, 38, 34], [64, 76, 35], [21, 35, 59]] ------------------------------ Epoch 1933 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.002234 - Iter 024 / 025, Loss: 0.001406 * Train accuracy / confusion: 99.12% / [[353, 3, 0], [3, 262, 0], [1, 0, 178]], * Val accuracy / confusion: 55.58% / [[147, 52, 31], [65, 78, 32], [19, 32, 64]] ------------------------------ Epoch 1934 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.004908 - Iter 024 / 025, Loss: 0.143309 * Train accuracy / confusion: 99.25% / [[356, 1, 0], [4, 261, 1], [0, 0, 177]], * Val accuracy / confusion: 57.12% / [[156, 42, 32], [62, 76, 37], [16, 34, 65]] ------------------------------ Epoch 1935 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.006990 - Iter 024 / 025, Loss: 0.103320 * Train accuracy / confusion: 99.25% / [[360, 0, 0], [0, 264, 2], [0, 4, 170]], * Val accuracy / confusion: 57.31% / [[146, 58, 26], [52, 87, 36], [20, 30, 65]] ------------------------------ Epoch 1936 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.012598 - Iter 024 / 025, Loss: 0.004270 * Train accuracy / confusion: 99.75% / [[356, 0, 0], [1, 262, 1], [0, 0, 180]], * Val accuracy / confusion: 58.65% / [[165, 33, 32], [64, 73, 38], [21, 27, 67]] ------------------------------ Epoch 1937 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.022535 - Iter 024 / 025, Loss: 0.002711 * Train accuracy / confusion: 99.38% / [[357, 2, 0], [2, 265, 0], [0, 1, 173]], * Val accuracy / confusion: 54.62% / [[150, 50, 30], [68, 70, 37], [22, 29, 64]] ------------------------------ Epoch 1938 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.023908 - Iter 024 / 025, Loss: 0.033937 * Train accuracy / confusion: 99.12% / [[352, 2, 1], [2, 268, 1], [0, 1, 173]], * Val accuracy / confusion: 58.46% / [[157, 35, 38], [59, 81, 35], [19, 30, 66]] ------------------------------ Epoch 1939 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.023756 - Iter 024 / 025, Loss: 0.002636 * Train accuracy / confusion: 99.50% / [[357, 2, 0], [0, 263, 1], [0, 1, 176]], * Val accuracy / confusion: 58.08% / [[159, 45, 26], [59, 78, 38], [18, 32, 65]] ------------------------------ Epoch 1940 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.089809 - Iter 024 / 025, Loss: 0.002893 * Train accuracy / confusion: 98.88% / [[356, 2, 0], [4, 256, 2], [1, 0, 179]], * Val accuracy / confusion: 54.62% / [[154, 45, 31], [70, 67, 38], [22, 30, 63]] ------------------------------ Epoch 1941 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.003672 - Iter 024 / 025, Loss: 0.002476 * Train accuracy / confusion: 99.38% / [[359, 0, 1], [3, 261, 0], [1, 0, 175]], * Val accuracy / confusion: 56.73% / [[146, 52, 32], [64, 79, 32], [17, 28, 70]] ------------------------------ Epoch 1942 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.093159 - Iter 024 / 025, Loss: 0.070284 * Train accuracy / confusion: 98.62% / [[353, 3, 2], [4, 264, 1], [1, 0, 172]], * Val accuracy / confusion: 56.54% / [[155, 41, 34], [62, 74, 39], [17, 33, 65]] ------------------------------ Epoch 1943 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.006524 - Iter 024 / 025, Loss: 0.249054 * Train accuracy / confusion: 99.50% / [[357, 0, 2], [1, 264, 0], [0, 1, 175]], * Val accuracy / confusion: 55.77% / [[153, 45, 32], [61, 72, 42], [24, 26, 65]] ------------------------------ Epoch 1944 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.000810 - Iter 024 / 025, Loss: 0.020898 * Train accuracy / confusion: 99.25% / [[352, 2, 0], [3, 269, 0], [0, 1, 173]], * Val accuracy / confusion: 55.77% / [[155, 45, 30], [74, 69, 32], [25, 24, 66]] ------------------------------ Epoch 1945 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.017576 - Iter 024 / 025, Loss: 0.008056 * Train accuracy / confusion: 99.62% / [[355, 0, 0], [2, 270, 0], [0, 1, 172]], * Val accuracy / confusion: 54.81% / [[154, 45, 31], [62, 70, 43], [24, 30, 61]] ------------------------------ Epoch 1946 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001514 - Iter 024 / 025, Loss: 0.009610 * Train accuracy / confusion: 99.00% / [[358, 2, 0], [0, 263, 0], [2, 4, 171]], * Val accuracy / confusion: 57.88% / [[154, 44, 32], [61, 81, 33], [20, 29, 66]] ------------------------------ Epoch 1947 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.003045 - Iter 024 / 025, Loss: 0.011099 * Train accuracy / confusion: 98.50% / [[353, 1, 1], [7, 260, 1], [1, 1, 175]], * Val accuracy / confusion: 57.50% / [[162, 35, 33], [62, 69, 44], [20, 27, 68]] ------------------------------ Epoch 1948 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.002325 - Iter 024 / 025, Loss: 0.001176 * Train accuracy / confusion: 99.88% / [[361, 0, 0], [1, 265, 0], [0, 0, 173]], * Val accuracy / confusion: 56.92% / [[157, 43, 30], [63, 76, 36], [22, 30, 63]] ------------------------------ Epoch 1949 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.010286 - Iter 024 / 025, Loss: 0.054864 * Train accuracy / confusion: 99.50% / [[357, 1, 0], [3, 264, 0], [0, 0, 175]], * Val accuracy / confusion: 55.96% / [[157, 44, 29], [72, 66, 37], [19, 28, 68]] ------------------------------ Epoch 1950 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.003139 - Iter 024 / 025, Loss: 0.094117 * Train accuracy / confusion: 99.12% / [[352, 3, 0], [2, 265, 1], [0, 1, 176]], * Val accuracy / confusion: 57.31% / [[160, 41, 29], [72, 73, 30], [19, 31, 65]] ------------------------------ Epoch 1951 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.006909 - Iter 024 / 025, Loss: 0.052763 * Train accuracy / confusion: 99.38% / [[357, 1, 0], [2, 262, 0], [1, 1, 176]], * Val accuracy / confusion: 52.69% / [[148, 47, 35], [65, 67, 43], [21, 35, 59]] ------------------------------ Epoch 1952 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.002207 - Iter 024 / 025, Loss: 0.068619 * Train accuracy / confusion: 99.12% / [[351, 0, 0], [2, 265, 3], [0, 2, 177]], * Val accuracy / confusion: 55.19% / [[157, 47, 26], [64, 74, 37], [21, 38, 56]] ------------------------------ Epoch 1953 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.013879 - Iter 024 / 025, Loss: 0.042628 * Train accuracy / confusion: 99.12% / [[353, 2, 0], [3, 265, 1], [0, 1, 175]], * Val accuracy / confusion: 54.62% / [[150, 52, 28], [63, 68, 44], [18, 31, 66]] ------------------------------ Epoch 1954 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001115 - Iter 024 / 025, Loss: 0.010602 * Train accuracy / confusion: 99.50% / [[360, 2, 0], [1, 259, 1], [0, 0, 177]], * Val accuracy / confusion: 55.77% / [[157, 47, 26], [63, 71, 41], [21, 32, 62]] ------------------------------ Epoch 1955 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.012998 - Iter 024 / 025, Loss: 0.034094 * Train accuracy / confusion: 99.12% / [[357, 0, 0], [4, 261, 1], [1, 1, 175]], * Val accuracy / confusion: 55.00% / [[151, 50, 29], [66, 67, 42], [20, 27, 68]] ------------------------------ Epoch 1956 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001682 - Iter 024 / 025, Loss: 0.019427 * Train accuracy / confusion: 99.12% / [[359, 1, 1], [3, 263, 1], [1, 0, 171]], * Val accuracy / confusion: 55.77% / [[156, 48, 26], [67, 74, 34], [21, 34, 60]] ------------------------------ Epoch 1957 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.034342 - Iter 024 / 025, Loss: 0.001506 * Train accuracy / confusion: 99.75% / [[356, 0, 0], [0, 269, 0], [1, 1, 173]], * Val accuracy / confusion: 58.27% / [[154, 41, 35], [64, 77, 34], [18, 25, 72]] ------------------------------ Epoch 1958 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.000743 - Iter 024 / 025, Loss: 0.072647 * Train accuracy / confusion: 99.12% / [[354, 2, 0], [3, 264, 0], [2, 0, 175]], * Val accuracy / confusion: 59.23% / [[165, 45, 20], [62, 75, 38], [20, 27, 68]] ------------------------------ Epoch 1959 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.006684 - Iter 024 / 025, Loss: 0.003728 * Train accuracy / confusion: 99.38% / [[352, 1, 0], [2, 266, 1], [0, 1, 177]], * Val accuracy / confusion: 56.92% / [[155, 42, 33], [66, 75, 34], [22, 27, 66]] ------------------------------ Epoch 1960 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.011136 - Iter 024 / 025, Loss: 0.005649 * Train accuracy / confusion: 99.00% / [[349, 3, 0], [2, 266, 1], [0, 2, 177]], * Val accuracy / confusion: 54.42% / [[146, 47, 37], [67, 75, 33], [20, 33, 62]] ------------------------------ Epoch 1961 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.168821 - Iter 024 / 025, Loss: 0.001816 * Train accuracy / confusion: 99.38% / [[354, 1, 0], [3, 267, 0], [1, 0, 174]], * Val accuracy / confusion: 55.96% / [[154, 43, 33], [69, 78, 28], [23, 33, 59]] ------------------------------ Epoch 1962 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.003113 - Iter 024 / 025, Loss: 0.008732 * Train accuracy / confusion: 99.38% / [[352, 2, 1], [2, 266, 0], [0, 0, 177]], * Val accuracy / confusion: 59.04% / [[159, 37, 34], [61, 82, 32], [19, 30, 66]] ------------------------------ Epoch 1963 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.022186 - Iter 024 / 025, Loss: 0.044720 * Train accuracy / confusion: 99.62% / [[356, 1, 0], [0, 265, 0], [1, 1, 176]], * Val accuracy / confusion: 55.58% / [[148, 48, 34], [65, 74, 36], [19, 29, 67]] ------------------------------ Epoch 1964 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.002440 - Iter 024 / 025, Loss: 0.006443 * Train accuracy / confusion: 99.50% / [[352, 2, 0], [0, 269, 0], [1, 1, 175]], * Val accuracy / confusion: 55.77% / [[156, 39, 35], [67, 72, 36], [22, 31, 62]] ------------------------------ Epoch 1965 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.100843 - Iter 024 / 025, Loss: 0.006502 * Train accuracy / confusion: 99.50% / [[355, 1, 0], [3, 263, 0], [0, 0, 178]], * Val accuracy / confusion: 56.35% / [[157, 44, 29], [66, 71, 38], [22, 28, 65]] ------------------------------ Epoch 1966 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001841 - Iter 024 / 025, Loss: 0.014625 * Train accuracy / confusion: 99.38% / [[361, 1, 1], [3, 262, 0], [0, 0, 172]], * Val accuracy / confusion: 54.04% / [[147, 54, 29], [64, 76, 35], [21, 36, 58]] ------------------------------ Epoch 1967 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.003684 - Iter 024 / 025, Loss: 0.035812 * Train accuracy / confusion: 99.50% / [[360, 3, 0], [1, 262, 0], [0, 0, 174]], * Val accuracy / confusion: 55.77% / [[146, 55, 29], [65, 75, 35], [19, 27, 69]] ------------------------------ Epoch 1968 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.016934 - Iter 024 / 025, Loss: 0.029349 * Train accuracy / confusion: 99.50% / [[351, 0, 0], [2, 271, 0], [2, 0, 174]], * Val accuracy / confusion: 54.04% / [[153, 44, 33], [60, 69, 46], [23, 33, 59]] ------------------------------ Epoch 1969 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.040249 - Iter 024 / 025, Loss: 0.000441 * Train accuracy / confusion: 98.88% / [[354, 4, 1], [1, 264, 2], [1, 0, 173]], * Val accuracy / confusion: 55.58% / [[155, 46, 29], [68, 72, 35], [25, 28, 62]] ------------------------------ Epoch 1970 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.012853 - Iter 024 / 025, Loss: 0.000497 * Train accuracy / confusion: 99.50% / [[351, 1, 0], [2, 271, 0], [0, 1, 174]], * Val accuracy / confusion: 55.77% / [[158, 43, 29], [65, 70, 40], [21, 32, 62]] ------------------------------ Epoch 1971 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.194916 - Iter 024 / 025, Loss: 0.024653 * Train accuracy / confusion: 99.62% / [[357, 0, 0], [1, 265, 0], [0, 2, 175]], * Val accuracy / confusion: 55.38% / [[152, 42, 36], [74, 73, 28], [23, 29, 63]] ------------------------------ Epoch 1972 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.117995 - Iter 024 / 025, Loss: 0.006653 * Train accuracy / confusion: 99.38% / [[358, 3, 0], [1, 263, 1], [0, 0, 174]], * Val accuracy / confusion: 54.62% / [[148, 47, 35], [64, 73, 38], [19, 33, 63]] ------------------------------ Epoch 1973 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.022727 - Iter 024 / 025, Loss: 0.012404 * Train accuracy / confusion: 99.12% / [[353, 1, 0], [5, 270, 0], [1, 0, 170]], * Val accuracy / confusion: 57.50% / [[159, 38, 33], [65, 75, 35], [20, 30, 65]] ------------------------------ Epoch 1974 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001023 - Iter 024 / 025, Loss: 0.013229 * Train accuracy / confusion: 99.12% / [[355, 0, 1], [4, 267, 1], [1, 0, 171]], * Val accuracy / confusion: 56.73% / [[164, 44, 22], [75, 71, 29], [23, 32, 60]] ------------------------------ Epoch 1975 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.013158 - Iter 024 / 025, Loss: 0.042381 * Train accuracy / confusion: 99.62% / [[356, 0, 0], [1, 267, 1], [0, 1, 174]], * Val accuracy / confusion: 53.27% / [[151, 46, 33], [71, 67, 37], [24, 32, 59]] ------------------------------ Epoch 1976 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001593 - Iter 024 / 025, Loss: 0.001116 * Train accuracy / confusion: 99.25% / [[354, 3, 1], [2, 267, 0], [0, 0, 173]], * Val accuracy / confusion: 54.23% / [[151, 50, 29], [62, 71, 42], [17, 38, 60]] ------------------------------ Epoch 1977 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001560 - Iter 024 / 025, Loss: 0.003243 * Train accuracy / confusion: 99.00% / [[349, 4, 0], [3, 265, 0], [0, 1, 178]], * Val accuracy / confusion: 54.81% / [[151, 45, 34], [64, 75, 36], [20, 36, 59]] ------------------------------ Epoch 1978 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.096434 - Iter 024 / 025, Loss: 0.007302 * Train accuracy / confusion: 99.50% / [[358, 0, 0], [1, 260, 1], [1, 1, 178]], * Val accuracy / confusion: 55.96% / [[146, 50, 34], [63, 76, 36], [18, 28, 69]] ------------------------------ Epoch 1979 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.004028 - Iter 024 / 025, Loss: 0.008356 * Train accuracy / confusion: 99.50% / [[354, 1, 0], [0, 269, 1], [2, 0, 173]], * Val accuracy / confusion: 57.69% / [[158, 43, 29], [65, 76, 34], [22, 27, 66]] ------------------------------ Epoch 1980 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.030131 - Iter 024 / 025, Loss: 0.002152 * Train accuracy / confusion: 98.88% / [[353, 3, 0], [2, 265, 0], [1, 3, 173]], * Val accuracy / confusion: 56.73% / [[165, 29, 36], [70, 67, 38], [19, 33, 63]] ------------------------------ Epoch 1981 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.046466 - Iter 024 / 025, Loss: 0.005651 * Train accuracy / confusion: 99.50% / [[354, 1, 1], [2, 268, 0], [0, 0, 174]], * Val accuracy / confusion: 53.08% / [[143, 51, 36], [65, 71, 39], [14, 39, 62]] ------------------------------ Epoch 1982 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.001937 - Iter 024 / 025, Loss: 0.005836 * Train accuracy / confusion: 99.50% / [[352, 2, 0], [1, 266, 1], [0, 0, 178]], * Val accuracy / confusion: 55.77% / [[157, 46, 27], [69, 67, 39], [19, 30, 66]] ------------------------------ Epoch 1983 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.000973 - Iter 024 / 025, Loss: 0.003742 * Train accuracy / confusion: 99.62% / [[355, 1, 0], [1, 266, 0], [0, 1, 176]], * Val accuracy / confusion: 55.19% / [[154, 45, 31], [69, 77, 29], [24, 35, 56]] ------------------------------ Epoch 1984 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.000921 - Iter 024 / 025, Loss: 0.032074 * Train accuracy / confusion: 99.38% / [[348, 1, 0], [2, 270, 1], [1, 0, 177]], * Val accuracy / confusion: 56.35% / [[152, 44, 34], [69, 73, 33], [21, 26, 68]] ------------------------------ Epoch 1985 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.007059 - Iter 024 / 025, Loss: 0.020743 * Train accuracy / confusion: 99.50% / [[353, 2, 1], [1, 266, 0], [0, 0, 177]], * Val accuracy / confusion: 56.73% / [[161, 38, 31], [73, 68, 34], [23, 26, 66]] ------------------------------ Epoch 1986 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.016411 - Iter 024 / 025, Loss: 0.005234 * Train accuracy / confusion: 99.75% / [[362, 0, 1], [0, 261, 0], [0, 1, 175]], * Val accuracy / confusion: 56.15% / [[151, 49, 30], [67, 82, 26], [20, 36, 59]] ------------------------------ Epoch 1987 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.016741 - Iter 024 / 025, Loss: 0.003436 * Train accuracy / confusion: 99.25% / [[353, 2, 0], [2, 267, 0], [0, 2, 174]], * Val accuracy / confusion: 56.73% / [[155, 44, 31], [66, 78, 31], [20, 33, 62]] ------------------------------ Epoch 1988 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.053041 - Iter 024 / 025, Loss: 0.017194 * Train accuracy / confusion: 99.38% / [[355, 2, 0], [1, 264, 0], [2, 0, 176]], * Val accuracy / confusion: 55.38% / [[161, 37, 32], [74, 68, 33], [26, 30, 59]] ------------------------------ Epoch 1989 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.004721 - Iter 024 / 025, Loss: 0.049095 * Train accuracy / confusion: 99.50% / [[354, 0, 0], [3, 267, 0], [0, 1, 175]], * Val accuracy / confusion: 54.81% / [[150, 46, 34], [72, 70, 33], [21, 29, 65]] ------------------------------ Epoch 1990 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.005754 - Iter 024 / 025, Loss: 0.063068 * Train accuracy / confusion: 98.50% / [[355, 4, 1], [3, 260, 3], [0, 1, 173]], * Val accuracy / confusion: 56.15% / [[159, 43, 28], [73, 66, 36], [17, 31, 67]] ------------------------------ Epoch 1991 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.004352 - Iter 024 / 025, Loss: 0.014697 * Train accuracy / confusion: 99.00% / [[350, 2, 0], [3, 267, 1], [0, 2, 175]], * Val accuracy / confusion: 53.65% / [[148, 49, 33], [73, 65, 37], [19, 30, 66]] ------------------------------ Epoch 1992 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.006120 - Iter 024 / 025, Loss: 0.015908 * Train accuracy / confusion: 99.50% / [[354, 1, 0], [2, 267, 0], [0, 1, 175]], * Val accuracy / confusion: 57.88% / [[155, 44, 31], [59, 77, 39], [18, 28, 69]] ------------------------------ Epoch 1993 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.022615 - Iter 024 / 025, Loss: 0.003704 * Train accuracy / confusion: 99.62% / [[354, 1, 0], [1, 266, 0], [0, 1, 177]], * Val accuracy / confusion: 55.96% / [[159, 39, 32], [64, 72, 39], [22, 33, 60]] ------------------------------ Epoch 1994 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.022149 - Iter 024 / 025, Loss: 0.073253 * Train accuracy / confusion: 99.50% / [[360, 0, 0], [2, 260, 1], [0, 1, 176]], * Val accuracy / confusion: 54.04% / [[138, 53, 39], [65, 75, 35], [16, 31, 68]] ------------------------------ Epoch 1995 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.057693 - Iter 024 / 025, Loss: 0.013290 * Train accuracy / confusion: 99.00% / [[350, 1, 2], [3, 268, 1], [1, 0, 174]], * Val accuracy / confusion: 56.35% / [[158, 39, 33], [69, 68, 38], [23, 25, 67]] ------------------------------ Epoch 1996 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.036199 - Iter 024 / 025, Loss: 0.120798 * Train accuracy / confusion: 99.25% / [[353, 2, 0], [1, 266, 2], [0, 1, 175]], * Val accuracy / confusion: 56.73% / [[161, 41, 28], [68, 67, 40], [20, 28, 67]] ------------------------------ Epoch 1997 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.000717 - Iter 024 / 025, Loss: 0.011184 * Train accuracy / confusion: 99.38% / [[352, 0, 2], [2, 265, 0], [0, 1, 178]], * Val accuracy / confusion: 55.19% / [[149, 47, 34], [58, 76, 41], [19, 34, 62]] ------------------------------ Epoch 1998 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.003989 - Iter 024 / 025, Loss: 0.092172 * Train accuracy / confusion: 99.25% / [[357, 0, 1], [4, 264, 0], [1, 0, 173]], * Val accuracy / confusion: 55.96% / [[151, 52, 27], [68, 75, 32], [22, 28, 65]] ------------------------------ Epoch 1999 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.003226 - Iter 024 / 025, Loss: 0.001342 * Train accuracy / confusion: 99.12% / [[354, 5, 1], [1, 263, 0], [0, 0, 176]], * Val accuracy / confusion: 56.73% / [[158, 41, 31], [68, 71, 36], [21, 28, 66]] ------------------------------ Epoch 2000 / 2000, Learning rate: 1.00e-06 ------------------------------ - Iter 012 / 025, Loss: 0.039575 - Iter 024 / 025, Loss: 0.006745 * Train accuracy / confusion: 99.62% / [[360, 1, 0], [1, 265, 0], [0, 1, 172]], * Val accuracy / confusion: 55.38% / [[162, 36, 32], [69, 69, 37], [20, 38, 57]] **************************************** Training Ends ****************************************
- Test accuracy (last model): 56.96% - Confusion matrix (last model): [[1007 335 68] [ 312 431 277] [ 217 134 339]]
- Test accuracy (best model): 56.19% - Confusion matrix (best model): [[1032 321 57] [ 357 387 276] [ 221 135 334]]
# checkpoint save path
if save_checkpoint:
os.makedirs('checkpoint/', exist_ok=True)
today = datetime.date.today()
torch.save(best_model_state, f'checkpoint/{today.year % 100}{today.month:02d}{today.day}_{nb_fname}_TinyResNet_best')
torch.save(last_model_state, f'checkpoint/{today.year % 100}{today.month:02d}{today.day}_{nb_fname}_TinyResNet_last')
print('- Debug table:')
pprint.pp(last_test_debug, indent=2, width=100)
- Debug table:
{ '00299': {'GT': 0, 'Acc': ' 60.00%', 'Pred': [18, 11, 1], 'edfname': '00671212_160819'},
'00854': {'GT': 0, 'Acc': ' 86.67%', 'Pred': [26, 4, 0], 'edfname': '01138301_230114'},
'01026': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01225123_050815'},
'00176': {'GT': 0, 'Acc': ' 70.00%', 'Pred': [21, 9, 0], 'edfname': '00602435_270217'},
'00591': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 1, 0], 'edfname': '00896386_240914'},
'01069': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 1, 0], 'edfname': '01243158_301115'},
'00414': {'GT': 2, 'Acc': ' 3.33%', 'Pred': [20, 9, 1], 'edfname': '00743464_220316'},
'01184': {'GT': 2, 'Acc': ' 23.33%', 'Pred': [17, 6, 7], 'edfname': '01303263_281116'},
'01250': {'GT': 1, 'Acc': ' 23.33%', 'Pred': [23, 7, 0], 'edfname': '01342444_141118'},
'00516': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '00823206_130514'},
'01039': {'GT': 1, 'Acc': ' 86.67%', 'Pred': [4, 26, 0], 'edfname': '01235034_290120'},
'01071': {'GT': 2, 'Acc': ' 93.33%', 'Pred': [1, 1, 28], 'edfname': '01246499_301115'},
'00022': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [6, 0, 24], 'edfname': '00158517_110116'},
'00913': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01151967_160414'},
'00820': {'GT': 1, 'Acc': ' 66.67%', 'Pred': [10, 20, 0], 'edfname': '01127836_221116'},
'00122': {'GT': 0, 'Acc': ' 36.67%', 'Pred': [11, 16, 3], 'edfname': '00416942_190516'},
'00439': {'GT': 0, 'Acc': ' 16.67%', 'Pred': [5, 24, 1], 'edfname': '00760780_141118'},
'00860': {'GT': 2, 'Acc': ' 93.33%', 'Pred': [2, 0, 28], 'edfname': '01139924_140717'},
'01180': {'GT': 2, 'Acc': ' 93.33%', 'Pred': [0, 2, 28], 'edfname': '01301982_230118'},
'01349': {'GT': 1, 'Acc': ' 6.67%', 'Pred': [28, 2, 0], 'edfname': '01408549_031218'},
'01105': {'GT': 0, 'Acc': ' 60.00%', 'Pred': [18, 6, 6], 'edfname': '01266696_110516'},
'00671': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '00958455_200917'},
'00531': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 0, 1], 'edfname': '00840844_250119'},
'00192': {'GT': 0, 'Acc': ' 63.33%', 'Pred': [19, 11, 0], 'edfname': '00608961_131118'},
'00680': {'GT': 1, 'Acc': '100.00%', 'Pred': [0, 30, 0], 'edfname': '00963680_280519'},
'01156': {'GT': 1, 'Acc': ' 93.33%', 'Pred': [2, 28, 0], 'edfname': '01293646_120719'},
'00417': {'GT': 2, 'Acc': ' 6.67%', 'Pred': [23, 5, 2], 'edfname': '00745209_041018'},
'00736': {'GT': 2, 'Acc': ' 93.33%', 'Pred': [0, 2, 28], 'edfname': '01019016_241115'},
'00949': {'GT': 1, 'Acc': ' 36.67%', 'Pred': [15, 11, 4], 'edfname': '01174162_090817'},
'01172': {'GT': 1, 'Acc': ' 6.67%', 'Pred': [0, 2, 28], 'edfname': '01298381_281016'},
'01307': {'GT': 0, 'Acc': ' 66.67%', 'Pred': [20, 10, 0], 'edfname': '01376302_060718'},
'00058': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 1, 0], 'edfname': '00285244_020414'},
'00124': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '00418981_060116'},
'00508': {'GT': 0, 'Acc': ' 90.00%', 'Pred': [27, 1, 2], 'edfname': '00817022_010415'},
'00415': {'GT': 1, 'Acc': ' 80.00%', 'Pred': [5, 24, 1], 'edfname': '00744497_260517'},
'00408': {'GT': 0, 'Acc': ' 90.00%', 'Pred': [27, 3, 0], 'edfname': '00740750_110315'},
'00385': {'GT': 0, 'Acc': ' 86.67%', 'Pred': [26, 0, 4], 'edfname': '00723232_270318'},
'01125': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01276737_300616'},
'01330': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 1, 0], 'edfname': '01392885_240718'},
'00329': {'GT': 0, 'Acc': ' 36.67%', 'Pred': [11, 19, 0], 'edfname': '00685248_150414'},
'00649': {'GT': 2, 'Acc': ' 3.33%', 'Pred': [27, 2, 1], 'edfname': '00951066_131217'},
'00900': {'GT': 0, 'Acc': ' 66.67%', 'Pred': [20, 10, 0], 'edfname': '01147100'},
'00062': {'GT': 1, 'Acc': ' 73.33%', 'Pred': [0, 22, 8], 'edfname': '00287432_110518'},
'00405': {'GT': 2, 'Acc': ' 73.33%', 'Pred': [0, 8, 22], 'edfname': '00739864_070717'},
'01066': {'GT': 0, 'Acc': ' 90.00%', 'Pred': [27, 2, 1], 'edfname': '01242983_071215'},
'00938': {'GT': 0, 'Acc': ' 16.67%', 'Pred': [5, 24, 1], 'edfname': '01161826_050916'},
'00881': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 1, 0], 'edfname': '01141790_190214'},
'00096': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 0, 1], 'edfname': '00369252_131216'},
'01165': {'GT': 0, 'Acc': ' 50.00%', 'Pred': [15, 9, 6], 'edfname': '01296533_281116'},
'00697': {'GT': 0, 'Acc': ' 3.33%', 'Pred': [1, 29, 0], 'edfname': '00983533_290618'},
'01037': {'GT': 1, 'Acc': ' 20.00%', 'Pred': [22, 6, 2], 'edfname': '01235034_120220'},
'00599': {'GT': 1, 'Acc': ' 10.00%', 'Pred': [0, 3, 27], 'edfname': '00901507_051018'},
'00798': {'GT': 2, 'Acc': '100.00%', 'Pred': [0, 0, 30], 'edfname': '01094597_300318'},
'00917': {'GT': 0, 'Acc': ' 23.33%', 'Pred': [7, 20, 3], 'edfname': '01154159_230414'},
'00828': {'GT': 2, 'Acc': ' 6.67%', 'Pred': [28, 0, 2], 'edfname': '01131959_310118'},
'00226': {'GT': 2, 'Acc': '100.00%', 'Pred': [0, 0, 30], 'edfname': '00626957_040417'},
'00280': {'GT': 2, 'Acc': ' 23.33%', 'Pred': [14, 9, 7], 'edfname': '00658017_180917'},
'00623': {'GT': 2, 'Acc': ' 56.67%', 'Pred': [1, 12, 17], 'edfname': '00926040_121219'},
'01203': {'GT': 2, 'Acc': ' 6.67%', 'Pred': [28, 0, 2], 'edfname': '01312293_120417'},
'00793': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01086373_020615'},
'00447': {'GT': 1, 'Acc': ' 16.67%', 'Pred': [12, 5, 13], 'edfname': '00764842_070514'},
'00125': {'GT': 0, 'Acc': ' 23.33%', 'Pred': [7, 13, 10], 'edfname': '00418981_090316'},
'00698': {'GT': 1, 'Acc': ' 53.33%', 'Pred': [14, 16, 0], 'edfname': '00984999_021117'},
'00756': {'GT': 1, 'Acc': ' 16.67%', 'Pred': [25, 5, 0], 'edfname': '01035162_180119'},
'00498': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [30, 0, 0], 'edfname': '00809366_050116'},
'00243': {'GT': 1, 'Acc': ' 53.33%', 'Pred': [0, 16, 14], 'edfname': '00635487_161019'},
'00004': {'GT': 2, 'Acc': ' 73.33%', 'Pred': [7, 1, 22], 'edfname': '00048377_070819'},
'01364': {'GT': 1, 'Acc': ' 53.33%', 'Pred': [0, 16, 14], 'edfname': '01418070_200819'},
'00603': {'GT': 2, 'Acc': ' 16.67%', 'Pred': [7, 18, 5], 'edfname': '00906868_071216'},
'00174': {'GT': 2, 'Acc': ' 3.33%', 'Pred': [13, 16, 1], 'edfname': '00601765_231118'},
'00301': {'GT': 1, 'Acc': ' 36.67%', 'Pred': [0, 11, 19], 'edfname': '00671744_060418'},
'00885': {'GT': 0, 'Acc': ' 20.00%', 'Pred': [6, 16, 8], 'edfname': '01142810_180214'},
'00289': {'GT': 2, 'Acc': ' 16.67%', 'Pred': [23, 2, 5], 'edfname': '00665084_280219'},
'01138': {'GT': 0, 'Acc': ' 33.33%', 'Pred': [10, 20, 0], 'edfname': '01281605_070716'},
'00821': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01128393_300715'},
'00870': {'GT': 0, 'Acc': ' 46.67%', 'Pred': [14, 3, 13], 'edfname': '01139947_120214'},
'01215': {'GT': 0, 'Acc': ' 70.00%', 'Pred': [21, 9, 0], 'edfname': '01321744_130417'},
'00389': {'GT': 1, 'Acc': ' 96.67%', 'Pred': [1, 29, 0], 'edfname': '00727364_231118'},
'00635': {'GT': 2, 'Acc': ' 36.67%', 'Pred': [5, 14, 11], 'edfname': '00939852_140214'},
'00923': {'GT': 0, 'Acc': ' 40.00%', 'Pred': [12, 18, 0], 'edfname': '01155730_070514'},
'00815': {'GT': 0, 'Acc': ' 56.67%', 'Pred': [17, 11, 2], 'edfname': '01125477_030918'},
'00302': {'GT': 1, 'Acc': ' 86.67%', 'Pred': [0, 26, 4], 'edfname': '00671744_060718'},
'01148': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [0, 0, 30], 'edfname': '01286604_220218'},
'01295': {'GT': 2, 'Acc': ' 13.33%', 'Pred': [1, 25, 4], 'edfname': '01367495_310118'},
'00220': {'GT': 1, 'Acc': ' 3.33%', 'Pred': [26, 1, 3], 'edfname': '00621729_020616'},
'01240': {'GT': 1, 'Acc': ' 80.00%', 'Pred': [6, 24, 0], 'edfname': '01338642_081119'},
'00005': {'GT': 2, 'Acc': ' 93.33%', 'Pred': [0, 2, 28], 'edfname': '00048377_070916'},
'00504': {'GT': 0, 'Acc': ' 90.00%', 'Pred': [27, 1, 2], 'edfname': '00813343_041218'},
'01045': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01235281_191015'},
'01038': {'GT': 1, 'Acc': ' 33.33%', 'Pred': [12, 10, 8], 'edfname': '01235034_260220'},
'01014': {'GT': 1, 'Acc': ' 23.33%', 'Pred': [23, 7, 0], 'edfname': '01215115_270715'},
'00741': {'GT': 0, 'Acc': ' 86.67%', 'Pred': [26, 1, 3], 'edfname': '01025734_280715'},
'00767': {'GT': 1, 'Acc': '100.00%', 'Pred': [0, 30, 0], 'edfname': '01055291_230517'},
'00305': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [0, 0, 30], 'edfname': '00673505_020419'},
'00851': {'GT': 0, 'Acc': ' 3.33%', 'Pred': [1, 29, 0], 'edfname': '01138297_230114'},
'00730': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01011922_270815'},
'00407': {'GT': 1, 'Acc': ' 6.67%', 'Pred': [28, 2, 0], 'edfname': '00740694_110315'},
'01305': {'GT': 1, 'Acc': ' 96.67%', 'Pred': [1, 29, 0], 'edfname': '01372947_240518'},
'01080': {'GT': 2, 'Acc': '100.00%', 'Pred': [0, 0, 30], 'edfname': '01252335_211016'},
'01007': {'GT': 0, 'Acc': '100.00%', 'Pred': [30, 0, 0], 'edfname': '01211467_070415'},
'00455': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [1, 0, 29], 'edfname': '00771910_121016'},
'00588': {'GT': 0, 'Acc': ' 96.67%', 'Pred': [29, 1, 0], 'edfname': '00895530_090616'},
'01268': {'GT': 1, 'Acc': ' 76.67%', 'Pred': [0, 23, 7], 'edfname': '01351393_231019'},
'01079': {'GT': 1, 'Acc': ' 0.00%', 'Pred': [18, 0, 12], 'edfname': '01251650_191219'}}
signal_headers = ['Fp1-AVG', 'F3-AVG', 'C3-AVG', 'P3-AVG',
'O1-AVG', 'Fp2-AVG', 'F4-AVG', 'C4-AVG',
'P4-AVG', 'O2-AVG', 'F7-AVG', 'T3-AVG',
'T5-AVG', 'F8-AVG', 'T4-AVG', 'T6-AVG',
'FZ-AVG', 'CZ-AVG', 'PZ-AVG', 'EKG']
from scipy.ndimage.filters import gaussian_filter1d
def jitter(X, amount):
left = X[:, :, :-amount]
right = X[:, :, -amount:]
X = torch.cat([left, right], dim=2)
return X
def blur_signal(X, sigma=1):
X_np = X.cpu().clone().numpy()
X_np = gaussian_filter1d(X_np, sigma, axis=2)
X.copy_(torch.Tensor(X_np).type_as(X))
return X
def create_class_visualization(target_y, model, dtype, **kwargs):
"""
Generate an image to maximize the score of target_y under a pretrained model.
Inputs:
- target_y: Integer in the range [0, 1000) giving the index of the class
- model: A pretrained CNN that will be used to generate the image
- dtype: Torch datatype to use for computations
Keyword arguments:
- l2_reg: Strength of L2 regularization on the image
- learning_rate: How big of a step to take
- num_iterations: How many iterations to use
- blur_every: How often to blur the image as an implicit regularizer
- max_jitter: How much to gjitter the image as an implicit regularizer
- show_every: How often to show the intermediate result
"""
model.type(dtype)
l2_reg = kwargs.pop('l2_reg', 1e-3)
learning_rate = kwargs.pop('learning_rate', 25)
num_iterations = kwargs.pop('num_iterations', 15000)
blur_every = kwargs.pop('blur_every', 10)
max_jitter = kwargs.pop('max_jitter', 100)
show_every = kwargs.pop('show_every', 5000)
# Randomly initialize the image as a PyTorch Tensor, and make it requires gradient.
signal = torch.randn(2, *train_dataset[0]['signal'].shape).mul_(1.0).type(dtype).requires_grad_().to(device)
blur_signal(signal.data, sigma=3)
for t in tqdm(range(num_iterations)):
# Randomly jitter the image a bit; this gives slightly nicer results
jittering = random.randint(0, max_jitter)
signal.data.copy_(jitter(signal.data, jittering))
# run the model
age = torch.tensor([age_mean, age_mean], dtype=torch.float32).to(device)
scores = model(signal, age)
# score loss and L-2 regularization
loss = scores[:, target_y] - l2_reg * torch.norm(signal)
loss = loss.sum()
# compute the gradients on the image
loss.backward()
with torch.no_grad():
# gradient ascent
signal += learning_rate * signal.grad
# manually zero the gradients after running the backward pass
signal.grad.zero_()
# Undo the random jitter
signal.data.copy_(jitter(signal.data, -jittering))
# As regularizer, periodically blur the image
if t % blur_every == 0:
blur_signal(signal.data, sigma=1)
# Periodically show the signal
if t == 0 or (t + 1) % show_every == 0 or t == num_iterations - 1:
fig = plt.figure(num=1, clear=True,
figsize=(15.0, 10.0), constrained_layout=True)
for s in range(signal.shape[0]):
ax = fig.add_subplot(signal.shape[0], 1, s + 1)
sig = signal[s].data.clone().cpu()
for (k, h) in enumerate(signal_headers):
ax.plot(np.arange(sig.shape[1]) / 200, sig[k], label=h)
class_name = class_label_to_type[target_y]
plt.legend(shadow=True).get_frame().set_facecolor('white')
plt.title('%s\nIteration %d / %d' % (class_name, t + 1, num_iterations))
plt.show()
fig.clear()
plt.close(fig)
return signal
dtype = torch.cuda.FloatTensor # Uncomment this to use GPU model.type(dtype)
target_y = 0 # Normal, NV-MCI, NV-Dementia out = create_class_visualization(target_y, model, dtype)
age = torch.tensor([age_mean, age_mean], dtype=torch.float32).to(device)
scores = model(out, age)
pred = F.log_softmax(scores, dim=1)
estimation = pred.argmax(dim=-1)
print(scores)
print(pred)
print(estimation)
tensor([[ 8323.5498, -3795.4893, -13845.5762],
[ 8019.7471, -3667.6304, -13313.5820]], device='cuda:0',
grad_fn=<AddmmBackward>)
tensor([[ 0.0000, -12119.0391, -22169.1250],
[ 0.0000, -11687.3770, -21333.3281]], device='cuda:0',
grad_fn=<LogSoftmaxBackward>)
tensor([0, 0], device='cuda:0')